ITT Gouden Gids
B.V., located in Amsterdam, is the Dutch unit of telephone directory publishing
division - ITT World Directories - of ITT Corporation. This business unit was
recently bought by Dutch publishing group VNU.
Gouden Gids was
the only publisher of classified telephone directories (Yellow Pages) in
Holland until 1994. A competitor, Telemedia, controlled by Dutch PTT, started
operation as of 1994. Gouden Gids publishes business information (name,
address, telephone and fax numbers) about businesses, whereas competitor
product contains both business information and white pages (i.e. alphabetical
listing of all telephone connections.) PTT Telecom was the main provider of
information which was printed in Gouden Gids directories up until 1995. After
this year, Gouden Gids did not renew its contract with PTT, and started
gathering its own data from alternative resources including Chamber of
Commerce, and database matching.
Directory
publishing business is changing rapidly. New substitute or complementary
products are emerging like directory services on the Internet, and operator
assisted directory services. Scoot, a joint venture of VNU and British
‘Freepages Ltd’ is providing toll-free operator assisted inquiry service as of
September 1997. Gouden Gids introduced a commercial operator assisted yellow
page service, ‘Gouden Gids Line’, at the same time. Gouden Gids has also an
Internet product called ‘Gouden Gids On-Line’.
After this brief
description of business environment of Gouden Gids, some information on the
Information Services Department will be presented.
VNU World
directories has operations in Holland, Belgium, Portugal, Ireland, South Africa
and Puerto Rico. Dutch and Belgium units are reporting to a vice president.
International structure of World Directories will not be elaborated on further,
as this is beyond the scope of this dissertation. However, international
dimension of Information Services (IS) function will be included in this study
to some detail level.
All IS functions
in the units are co-ordinated by a CIO -Chief Information Officer. Units have
local Information Services departments supporting their operational systems. In
some cases units may do their own development; for example development of
Gouden Gids On-Line (Internet) product was carried out locally. However, main
software development and R&D activities are carried out by a business unit
level software house called ITT Publitec. Publitec is located in Amsterdam, and
CIO is also the general manager of Publitec.
Unit IT managers
report to both their unit management and CIO. All major IT investments need to
be approved by CIO, who also has a co-ordinating role.
Figure 1- 1
IT Management Structure Matrix
Information
Services department of Gouden Gids is headed by an IS manager, who reports to
the operations director. Department has about 30 people employed. There are two
different functional groups within the department; a development pool and the data centre. Development pool has about 18 people and is organised as
a project organisation. There are 2 project managers who manage the activities
of this pool. IS manager may sometimes function as a project manager as well.
All new software developments, maintenance, testing and technical database
maintenance activities are done by the development pool.
Data centre has
about 12 people who do technical system management, network management,
operations support, and help desk / desktop support.
Figure 1- 2
Functional Organisation of IS Department
There are several
problem areas around internal IS departments. These problem areas will be mentioned
prior to the explanation of why this topic is chosen for the dissertation, and
the aim of the study. The problem areas which make this dissertation subject
significant are:
1. Information
services departments are traditionally dominated by technical people, and are
organised as production environments. Especially non-managerial positions in IS
function remain to stay purely technical. This is one of the factors that
contribute to a communication problem between IS department and the rest of the
organisation. IS departments need to improve their services marketing and
communication skills.
2. IS
departments provide supportive services in the form of firm infrastructure and
technology development (see Figure 1-3, Porter’s value chain). The fact that
many processes are either
supported by automated systems or performed by use of computers makes the
delivery of IS services crucial in the organisations. Any slow down in the
business growth or ineffectiveness in market response which is attributable to
IS service delivery decreases the credibility of IS organisations. For example,
IS department of Gouden Gids was not able to integrate the support for Gouden
Gids Line product in its existing back office systems, due to technical
difficulties, resource shortages and impossible deadlines. This was in some
cases interpreted as an ‘unwillingness of IS’. At the end, a quick and simple
solution, a satellite PC-based system was developed by the help of externals.
The IS department did not have any control on this happening. However, it is
now clear that one-person company which developed the system is quite
vulnerable and Gouden Gids management asks IS to gain back-up skills as a
contingency to support this system.
Figure 1- 3 Porter’s Generic Value Chain
3. Performance
measures for IS effectiveness are difficult to develop and implement. This
function was in the past evaluated based on its technical output and capacity,
and was used to automate rather standard tasks. Justification for high IT
investments becomes a main task of IS management, and benefits from IT
investment are in many cases not directly attributable to any revenue and/or
profit growth.
4. Although
IT plays a growing role in the organisations, upper management is usually
marketing and/or production oriented. Upper management is not aware of fast
changes in the IT industry and they are not interested in the details (or
management attention) of a rather complex discipline. This lack of management attention makes the tasks of IT managers difficult. IS managers do not
get enough support on IT related issues, especially in small IS departments.
5. Diversity
of information technologies used in any company requires acquiring technical
skills to effectively use these technologies. Small IS departments have
difficulties in recruiting new people, and getting their permanent employees to
the desired technical skill level. Gouden Gids IS department, as well, has
difficulty in new recruitment, and in dealing with low employee productivity.
6. Furthermore,
it is very difficult for small IS organisations to acquire all required
technical skills in use since the number of different technological platforms
is diverse, and specialisation in all these technical areas is impossible. An
alternative solution is to bring in externals on temporary basis. However, the
length of learning curve for these people, and the tight budgetary controls
make this option less effective. This also applies to Gouden Gids, and
the small size of IS department does not allow it to benefit from
economies-of-scale and economies-of-scope.
Moreover, the
following points are specifically applicable to Gouden Gids environment. It
should be noted that these points may be applicable to some other organisations
and/or IS departments during their organisational development;
1. The
main operational system is mainframe based and old fashioned. It does not allow
any major changes since implementation of any such changes requires too much
effort. Paper based products are supported by this system. New products like
Internet and telephone enquiry system are based on relational database
platforms and are fed by this system. All other systems like accounting
package, supportive systems for Internet and telephone inquiry service
products, a sales information system, a separate complaint handling system, a
PC based retail-sales system etc., are all functioning around the main system.
2. The
structure of these systems is a
risk to the organisation as any new business expansion results in a new
satellite system. There is a strong need to develop an integrated system which
is both able to support complete range of products, and is easy to customise
based on changing business needs. Currently, a migration plan is being worked
on to find a optimal solution for system replacement.
3. Internal
IS department of Gouden Gids functions in a re-active basis to the changes in
the company. IS is usually not involved in the business decisions, and has to
implement the necessary changes in tight deadlines. This contributes to the
thinking in the organisation that IS is not able to deliver its services at an
adequate level.
4. Measurement
of IS effectiveness in Gouden Gids is an issue. IS is not able to show that it
is performing well. The effectiveness of IS is valued low by many people in the
organisation.
Problem Statement:Current
effectiveness measures in IS departments include timely delivery of new
software or maintenance requests, meeting the departmental budget, and some other technical critical success factors such as system
availability during working hours. Managers recognise the need for a better
service quality measurement for the IS departments.
This dissertation
is based on the hypothesis that a services marketing based service quality
measurement approach can be applied to internal IS departments. IS departments
usually focus on technical aspects of service delivery. A second hypothesis is
that a services marketing oriented approach will identify some problems around
soft (non-technical) aspects of service delivery, such as, the manner in which
services are conveyed to users.
Gouden Gids
management supported the application of a non-technical instrument (i.e.
SERVQUAL) to identify the problems associated with the delivery of services by
the IS department.
Depending on the
results revealed by the survey, applicability of SERVQUAL service quality
measurement technique to IS departments will be evaluated. Based on the
evaluation and acceptability of these results by survey respondents, the
validity of the hypothesis, that a Services Marketing based quality measurement
technique could help managers identify service delivery problems, will be
verified.
Research findings
will be interpreted and action points will be submitted to the management.
The scope of this
study is limited with the services (self delivered or contracted) of Gouden
Gids IS department and the quality of these services as perceived within Gouden
Gids organisation. Where appropriate, references may be made to ITT Publitec or
other IT service providers, to the extent they interact with Gouden Gids IS.
SERVQUAL technique
will be applied to measure the service quality of IS department of Gouden Gids.
Results will first be averaged within their respondent group, and then
compared. In order to minimise the discrepancy between IS and user group
responses on the expectation side of service quality gap, two group interviews
are done with users and IS managers.
Dissertation is
composed of 5 chapters. This first chapter, Introduction, gives background
information on the case company, Gouden Gids, and lays IS related issues and
the problem statement, together with the research method, scope and
limitations. Chapter 2, Information Services, gives a brief explanation of
‘characteristics of services’ and its differences from ‘goods marketing’,
service quality issues. Chapter 2 also includes a section on Information
Services, gives some information of internal information services departments,
roles and problems associated with them. Chapter 3, IS SERVQUAL survey, defines
the survey: its first section gives a through review of SERVQUAL instrument.
Another section gives some information on the past applications of SERVQUAL to
IS environment. This chapter continues with survey population design,
questionnaire design and a section on expected results. Chapter
4, Survey Results, interprets the
research results in order to identify the gap sizes for each of the 5 gaps in
the SERVQUAL model. The constructs influencing each of these gaps are analysed
further and these are associated to each other where appropriate. Research
findings are summarised as the last section of chapter 4. The last chapter,
Chapter 5, conclusions and recommendations, is an attempt to interpret research
findings at a managerial level. This chapter also includes some proposals for
future research both within Gouden Gids organisation and in general, in order
both to monitor the improvement of IS service quality, and to make clear some
issues that could not be tackled by this research.
Copies of
questionnaires distributed to user group, IS management, and IS staff, are
presented in appendix A. The Microsoft Excel models used for analysing the
survey results for all 3 questionnaires are also presented in appendix B.
A review of the
literature on services, service quality and service quality measurement issues
will be done in this chapter. In
addition, a literature review on internal Information Services (IS) departments
is also done to identify specific ‘service’ issues related to IS departments.
Kotler (1994)
defines service as “any act or performance that one party can offer to another
that is essentially intangible and does not result in the ownership of
anything. Its production may or may not be tied to a physical product.”
Services may be
provided standalone or together with some products as a part of a total offer.
Kotler (1994) categorises the following
service product combinations.
·
A Pure Tangible Good: Here a tangible good is provided such as sugar.
·
A Tangible Good with Accompanying Services: Here the offer consists of a tangible good
accompanied by one or more services. Levitt (1972)
observes that “the more technologically sophisticated the generic product
(e.g., cars, computer hardware), the more dependent are its sales on the
quality and availability of its accompanying customer services.”
·
A Hybrid: Here the offer consists of equal parts of goods and services, such as
restaurants.
·
A Major Service with Accompanying Minor Goods and Services: Here the offer consists of a
service accompanied by some goods and/or services. For example, airline
passengers are buying transportation service, which is purely intangible.
However, the trip includes some tangibles (such as food and drinks). Even
though the service requires a capital intensive good (aeroplane), the main
offer is transportation.
·
A Pure Service: Here the offer consists primarily of a service, such as baby-sitting, local
transportation etc.
Services have four
major characteristics that greatly distinguish them from products. These
characteristics are:
Intangibility
Services are
primarily intangible (Judd, 1964; Mills & Margulies, 1980), making it
impossible to stock services in the same way one would stock goods, and their
attributes are difficult to demonstrate.
To reduce
uncertainty, buyers will look for the signs or evidence of the service quality.
They will draw inferences about the service quality from the place, people,
equipment, communication material, symbols, and price that they see.
Therefore, the
service provider’s task is to “manage the evidence”, to “tangibilise the
intangible (Levitt, 1981).”
Inseparability
To a large extent,
services are simultaneously produced and consumed (Sasser et al., 1978);
consequently, firms cannot use inventories to manage fluctuations in demand. If
a service is rendered by a person, then the provider is a part of service.
Since the client is also present as the service is produced, provider-client
interaction is a special feature of services marketing. Both the provider and
the client affect the service outcome.
When clients have
strong provider preferences, price is raised to ration the preferred provider’s
limited time (Kotler, 1994).
Service providers’
strategies to overcome these limitations include to serve larger groups of
clients simultaneously, to serve the clients faster, and to include more
service providers.
Variability
Customer
involvement in the production of many services (Bowen & Schneider, 1988;
Mills & Margulies, 1980; Shetty & Ross, 1985) creates additional
quality-control difficulties for managers. Services are highly variable, since
they depend on who provides them and when and where they are provided. Service
firms can take some measures towards quality control. The first is investing in
good personnel selection and training, so that clients find the same level of
friendliness and help from the personnel. The second step is to standardise the
service performance process throughout the organisation. The third step is
monitoring customer satisfaction through suggestion and complaint systems, and
customer surveys, ghost shopping, and lost customer analysis, so that poor
service can be detected and corrected (Hostage, 1975; Kotler, 1994).
Perishability
Services are also
considered to be extremely perishable (Sasser et al., 1978) and to be a process
rather than a thing (Grönroos, 1983). They can not be stored. When demand
fluctuates, service firms have difficult problems. Sasser (1976)
has described several strategies for producing a better match between demand
and service in service industries. These include
differential pricing, complementary services, part time employment, shared
services with other service providers, and increased consumer participation.
Grönroos (1984) has argued that service marketing requires not only external marketing, but also internal
and interactive marketing (see figure 2-1)
External
marketing describes the normal work done by the company to prepare,
price, distribute and promote the services to customers.
Internal marketing describes the work done by the company to train and
motivate its employees to serve customers well.
Interactive
marketing describes the employees’ skill in serving the client. The
client judges service quality not only by its technical quality, but also by
its functional quality.
Kotler (1994)
emphasises that internal marketing must proceed external marketing, as it makes
no sense to promise excellent service before the company staff can provide it.
Zeithaml (1981) argues that service quality is difficult to evaluate by customers. She defines three
attributes of quality on goods and services. These are search qualities,
experience qualities and credence qualities.
Figure 2- 1
Three Types of Marketing in Service Industries

·
Search qualities are characteristics that buyer can evaluate before purchase.
·
Experience qualities are characteristics that buyer can evaluate after purchase.
·
Credence qualities are, however, characteristics that the buyer finds hard to evaluate even
after consumption.
Since services are
generally higher in experience and credence qualities, consumers feel more risk
in their purchase. That has several consequences. First, service customers
generally rely more on word of mouth than on service firm advertising. Second,
they rely heavily on price, personnel and physical cues to judge the service
quality. Third, they are highly loyal to the service provider when satisfied.
Internal
information systems departments emerged during late 60s onwards as part of an
attempt by organisations to increase efficiency by automation of transaction
systems and other routine activities (such as payroll systems). This also
explains why this function was at the beginning called Electronic Data
Processing (EDP), and was usually under the control of finance departments.
Starting with
early 80s, new concepts like personal computers, networking, word processing,
and messaging/data exchange emerged. This transition made IS function more a
service provider as opposed to initial production environments. Another change
was at the goods/mixture side of IS service.
IS service delivery will usually include some goods dimension in the form of systems and/or equipment.
However, as we shall see later in this section, IS is becoming more a service
provider. IS also became an integral part of firm infrastructure, and gives
service to all parts of organisations.
For these reasons,
IS is one of the attention points in all organisations; financially, since IT
based services are a major expenditure item, and functionally, since delivery
of many internal and external services of today’s companies are supported by
IS.
Determining the
effectiveness of an organisation’s information services function is a crucial
management concern. This determination may lead to the decision to revamp,
restructure, or even out-source the information services function.
Saunders and Jones
(1992) made an extensive literature survey accompanied by a series of delphi
studies to find out the drivers used to measure IS performance in various
organisations. They interviewed senior executives and IS management for their
analysis. They found out the following 10 dimensions to be important for ISF
performance as illustrated in table 2-1.
Some additional IS
performance measures found by Saunders and Jones (1992) include “adequacy of
data security administration, end-user training and support, and adequacy of
contingency planning and disaster recovery”.
Other factors that influence the importance of IS in the organisations are top management support and
involvement in IS, structure of the
Table 2- 1 ISF Performance Dimensions and Associated Measures
|
Rank
|
Dimension
|
Measures
|
|
1
|
IS Impact on Strategic Direction.
An effective IS function
enhances the organisation’s competitive position through the development of
new systems and the maintenance of systems that support overall
organisational goals. IS should take the lead in the application of IS
resources.
|
·
market share
attributable to IS function increases
·
Profit attributable to
IS function increases
·
Organisation would be
out of business without IS
|
|
2
|
Integration of IS planning with Corporate Planning.
To promote the achievement
of organisational goals, IS planning must be tied to organisational planning
and must allow for inputs from top management.
|
·
IS documented plan is
designed to support the corporate strategic plan
·
Forecasts of IS
capabilities exists
·
Corporate and IS plans
jointly developed
|
|
3
|
Quality of Information Outputs.
IS functions are designed
to provide information. They should be judged on accuracy, usefulness and
timeliness of information they produce. They are also indirectly responsible
for the quality of user-generated output
|
·
End user surveys (in
house)
·
Customer/Client
surveys (individuals not in organisation)
·
Log of errors
encountered by users maintained
|
|
4
|
IS contribution to Organisational Financial
Performance.
Financial measures are
widely used in organisations to determine performance
|
·
ROI - Return on
Investment
·
ROA - Return on Assets
·
Cost Allocation
(method of accounting for systems development and operations
·
Value added by
information technology
·
Industry average
comparison of IS budget as a percentage of revenue
·
Budget performance
(ability to meet budget)
·
Costs of maintaining
systems
|
|
5
|
IS Function Operational Efficiency.
As computers become more a
part of the daily business cycle, systems availability, reliability, and
responsiveness of hardware and software become critical. The IS function must
ensure high quality and near-zero defects
|
·
Log of system
availability
·
Users’ perception
surveys
·
User (batch)
turnaround time
·
Log of computer and
communication up/downtime
·
Online system response
time
|
|
6
|
User/Management Attitudes about IS Function.
In today’s environment of
end-user computing, user satisfaction and perception of IS responsiveness,
service level, and quality of IS products determine IS effectiveness
|
·
Management and user
perceptions of IS performance
·
User surveys of user
participation in systems development
·
User surveys of IS
responsiveness to user needs
·
Time for IS function
to respond to user complaints
·
Complaint logs
|
|
7
|
IS Staff Competence.
An effective IS function is
able to recruit and maintain a technically and managerially competent staff,
and is able to interface successfully with users and management throughout
the organisation.
|
·
Number of managerial
and technical education programs for IS staff
·
Career ladder(s) for
IS staff exist
·
Formal performance
appraisal system used
·
Level of education of
IS staff: degrees and professional certification
|
|
8
|
Integration of Related Technologies Across Other
Organisational Units.
IS continually interacts
across all business functions. There must be a smooth, cost-effective flow of
information across the entire organisation.
Stand-alone pockets of technology may inhibit the flow of information
in the organisation.
|
·
User/IS development of
User/IS budget
|
|
9
|
Adequacy of System Development Practices.
An IS function is more
effective if it promotes an organised approach to system design, development,
and documentation throughout the organisation. The development should be on
time, within the budget, and should deliver the tight product.
|
·
Percentage of projects
completed on time and/or within budget
·
Standard methodology
for system analysis and design exists
·
Evaluation of user and
IS function documentation is performed
·
Estimates of number of
man-years in backlog of system development requests
|
|
10
|
Ability of IS function to Identify and Assimilate
New Technologies.
The IS function must
promote an innovative climate that encourages its staff and organisational
users to capitalise on new technologies. Consolidation of new technologies
must update obsolete systems, be cost-effective, and not reduce service.
|
·
Formal reward system
for innovative thinking and suggestions using information technology
·
Number of technical
breakthroughs
|
Source:
Saunders
S. S., & Jones, J.W., 1992. Measuring Performance of the Information
Systems Function, Journal of Management Information Systems, 8(4), pp. 72-74.
IS function,
placement of IS department’s head in the organisational hierarchy, the size of
the organisation, the industry of organisation, and the impact of computer
downtime on the organisations operations and performance.
Saunders and Jones
(1992) also mention as a paradox that, “while top executives stressed the
importance of IS impact, they frequently remained aloof from IS operations.”
They also mention that “organisations need to review the appropriateness of the
measures’ application to them as they evolve and their business situation
change”.
All of these
performance dimensions identified by Sounders and Jones (1992) are evaluated by
IS service users. The importance of these dimensions will vary in different
organisational settings. For example, the manager of contract entry department
will evaluate IS based on the quality of information outputs and operational
efficiency. However, for the general manager, strategic planning, and financial
performance dimensions will be more important.
On the other hand,
DeLone and McLean (1992) created an IS success model to cover all constructs of
IS effectiveness. They identified 6 categories into which these constructs can
be grouped, namely system quality, information quality, use, user satisfaction,
individual impact and organisational impact. These
categories are linked to define an IS success model (Figure 2-2).
Figure 2-2
Augmented IS Success Model

Pitt et. al.
(1995) point out that the basis for DeLone and McLean’s categorisation is
product specific. For example, system quality describes measures of the
information processing system. Information quality represents measures of
information systems output. Typically measures for information quality are
accuracy, timeliness, precision and currency of information provided. These
two measures proceed other measures (see figure 2-2) in DeLone/McLean model.
Pitt et. al. (1995) conclude that DeLone/McLean categorisation is strongly
product focused. They also (referring to Conrath and Mignen, 1990) stressed
that the principle reason IS departments measure user satisfaction is to
improve the quality of service they provide.
IS success
measures (within IS literature, Pitt et al. 1995, asserts), product and system
quality, focus on the tangible end of the goods/services spectrum. They argued
that service quality, at the other end of the spectrum, needs to be considered
as an additional measure of IS success. They have augmented the IS success
model by adding the “service quality” as an antecedent of both use and user
satisfaction (see figure 2-2).
Pitt et al. (1995)
also point out to the difference between two possible units of analysis for IS
service quality; namely, the IS department and a particular information
system/service. In those cases were users predominantly interact with one
system (e.g. contract entry department using corresponding functionality in the
operational system), a user’s impression of service quality is based almost
exclusively on one system. In situations where users have multiple interactions
with IS department (for example, a sales manager using several data analysis
packages for sales planning, electronic mail, and other office automation
products), the unit of analysis could be a particular system or the IS
department. Thus, they proceed with an example, the user who finds it difficult
to get a personal computer repaired is concerned not for poor service for a
designated system but with poor service in general from the IS department. In
other words, while system quality and information quality may be closely
associated with a product, it is not always the case with service quality.
However, as
Saunders and Jones (1992) point out, given technical and decentralisation
trends in computing, an organisation’s ISF may include varying organisational
arrangements including alternative internal and external sources of information
product and service delivery. Bhote (1991)
reports that the need to evaluate the effectiveness of the ISF coincides with the general trend in business
to operationalise and measure internal and external customer service quality. IS is a vital support activity in
today’s business environment, and the products and services of ISF may be
viewed within a customer context. IS customers may pick the products and
services that best fit their needs, at the best price. They may purchase from
outside the firm (out-sourcing) if expectations for quality and cost are not
met by an internal ISF. In addition, as IT usage increases within
organisations, alternative sources of supply within the firm (in-sourcing) will
directly compete with the traditional centralised ISD.
Due to the growth
of end-user computing, decentralisation, and alternative sources of supply, an
organisation’s information services function is now faced with serving
customers that possess substantial discretion in their use and purchase of
Information Services. This increasingly market oriented environment demands
sensitivity to IS customers’ expectations and perceived value of ISF services
(Kettinger and Lee, 1994). One important source of guidance in such an IS
management environment is to look at marketing literature for frameworks that
may permit the ISF to more effectively determine and convey the value of their
services.
Pitt et al (1997)
highlight some characteristics and problems of internal IS departments. They
point out that internal service provider departments in general might be
different from providers of services to external customers. Thus, IS
departments, (and all other entities that provide services or products only to
the organisation's employees, i.e. internal customers) may
be sufficiently different from other service businesses to warrant particular
attention when it comes to measuring service quality.
These are unique
situations, for in many instances the IS department is seen as an inflexible
monopoly by its customers, and it in turn experiences the problems of being on
a "hiding to nothing" - when things go well, it is because the users are so
capable, and when things go wrong, it is always the IS department's fault. Pitt
et al (1997) continue by saying that the central issue is whether service
quality measurement in an internal market is different from that in external
markets, not because IS is different from other functions or industries, but
because it is an internal, rather than an external, service provider.
Development of
effectiveness measures for Information Services has a long background.
Kettinger and Lee (1994) mention that techniques as system usage, cost/benefit
analysis, information economics, and critical success factors have all been
used to gauge the contribution of information systems and information services
function make to firms. They acknowledge the contribution of such measures.
They claim that the most widely used effectiveness measure is “user’s
perceptions of satisfaction”. In general there are two types of user
satisfaction instruments. The End-User Computing Satisfaction Instrument
(EUCSI) was developed by Doll and Torkzadeh (1988) as a response to the growth
of end-user computing. While this measure attempts to capture the satisfaction
of end users with a specific information systems application, it does not
include a direct assessment of end-user support services, or more generally
ISF. To gouge the products and services of a firm’s information services
function, a second user satisfaction instrument, User Information Satisfaction
(UIS) developed by Ives, Olson and Baroudi (1983), has frequently been
employed. Studies based on this instrument identified its major dimensions as
1. The
quality of Information products developed by ISF
2. The
level of user’s knowledge and involvement in systems development and ISF
activities; and
3. user
attitudes towards ISF staff and services
Later research
found problems with these measures and suggested improvements. For example,
Baroudi and Orlikowski (1988) state
that the original development and subsequent improvements on the UIS measure
tended to be in the era of a large centralised transaction processing systems
rather than today’s personal computing and network-based service environment.
Zmud (1984) notes that the role of the ISF has changed significantly from
principally a manufacturing activity, involving development and operation of
large scale hardware and software systems, to include additional roles of
distribution of technology transfer that require higher levels of user
interaction and service delivery. As a result of these changes, ISF has been
compelled to place more emphasis on support through provision of services.
Newer service roles include that of strategic and architectural planner,
business process consultant, technical co-ordinator, end-user trainer, internal
auditor, and network provider in addition to, and in some cases instead of,
information systems developer and operator (Saunders and Jones, 1992).
Meanwhile,
recognising the need to more comprehensively measure IS service quality, some
researchers (e.g. Kettinger and Lee, 1994) have looked to the marketing field
where extensive research has focused on customer satisfaction and perceived
customer service quality. Kettinger and Lee (1994) implemented SERVQUAL
instrument (see sections 3.1 and 3.2) to look at possibilities of enriching UIS
measure to include service quality characteristics.
According
to Ferguson and Zawacki (1993) IS managers should understand the basic
strategies that companies use to gain competitive advantage. These are
technical quality strategy, price strategy, image strategy, and service
strategy. They argue that, to be successful with its internal customers, an IS
organisation should combine various elements of these strategies. However, the
service strategy represents the best approach for ISD, and they should consider
it to be their driving philosophy. According to them service strategy creates a
differential advantage by developing a range of services that add value to the
customers and build strong relationships with them. They mention three
complications of service strategy which are
· Service
depends on the performance of employees
· Service
quality is defined by the customers, and
· Services
are evaluated not only by what is done (technical quality) but by how it is
done (functional quality).
Ferguson and Zawacki (1993) also mention two
primary advantages of service strategy for IS organisations. First, it views
total service quality as a function of both technical quality and functional quality.
Technical quality is necessary but not sufficient for service quality. The
second strength is that the IS organisation’s strategic focus becomes customer
relationship. Because competitors can usually duplicate the technical aspects
of services, the customer service strategy provides a greater opportunity for
maintaining a differential advantage. Customers who experience only the outcome
of a service may not even be aware of the technical aspects of the service
quality. Ongoing relationships will involve the customer in the technical
aspects of the product development as well.
Kotler (1994) defines quality as “the
totality of features and characteristics of a product or service that bear on
its ability to satisfy stated or implied needs”. He further distinguishes
between performance quality ad conformance quality.
Marketing literature indicates that
perceived service quality can be divided into two sub-processes; technical
performance and functional performance. Researchers argue that technical
(output) quality is necessary, but not always sufficient, condition to achieve
customer satisfaction and that overall perceived service quality involves
attaining functional (expressive) quality as well. Kettinger and Lee (1994)
give definitions of these concepts in the context of services. Technical
quality is what the customer is actually left with after the service is
delivered. Typically, technical performance is evaluated based on an assessment
of whether the actual service product (outcome) meets both service
specifications and customer needs/expectations. As a service is produced in
interaction with customer, this technical performance dimension may not equate
to a total assessment of the perceived quality, but rather may be influenced by
the way in which the technical quality is conveyed functionally. Functional
performance corresponds with the expressive performance of the service and is
related to service provider/customer interaction. In essence, it involves how
services are received by customers in relation to various personnel, resources,
and activities of the service provider during service delivery.
Kettinger and Lee (1994) further point out
that most research on customer satisfaction in marketing has been on the basis
of Oliver’s (Oliver,1980) use of
adaptation level theory, which posits expectations as an adapted standard which
provide a frame of reference for customers’ evaluative judgements. Oliver’s
theory simply states that a customer having high expectations is likely to be
happier after the service is delivered than a customer having low expectations.
Quality has been variously defined as
conformance to specifications (Levitt, 1972), conformance to requirements
(Crosby, 1979), and meeting and/or
exceeding customers' expectations (Grönroos, 1983; Parasuraman, Zeithaml, &
Berry, 1985).
Levitt (1972), as referenced by Reeves and Bednar
(1994), argued that the failure of
service firms to achieve high quality occurred because of their reluctance to
adopt manufacturing techniques. For Levitt, the essence of quality was
consistency. To the extent possible, all discretion should be removed from
employees, because "discretion is the enemy of order, standardisation, and
quality".
Customer involvement in the production of
many services creates additional quality-control difficulties for managers.
The increasingly important role played by
services and the inability of researchers to apply traditional manufacturing
definitions to service quality led to a new conceptualisation of service
quality. Only one definition of quality was judged to be appropriate by service
scholars (Grönroos, 1983; Parasuraman et al., 1985), and that definition was
governed by the extent to which a service met the expectations of customers.
This definition grew out of the services marketing literature (Zeithaml, 1981),
wherein researchers argued that a conformance-to-specifications definition of
quality failed to address the unique characteristics of services. An important
catalyst for the widespread movement away from conformance to specifications
and toward a consumer-based definition of quality was the increasingly
important role played by services in the U.S. and other Western economies
(Reeves & Bednar, 1994).
"Only customers judge quality; all
other judgements are essentially irrelevant" (Zeithaml et al., 1990).
Grönroos (1990) argued that "it should always be remembered that what
counts is quality as it is perceived by the customers." Service scholars
were not the only advocates of a customer-oriented definition of quality. The
profit impact of market strategy (PIMS) program database, which is primarily
composed of manufacturing firms, also uses this approach to quality:
"Quality is whatever the customers say it is, and the quality of a particular
product or service is whatever the customer perceives it to be" (Buzzell
& Gale, 1987). Reeves & Bednar (1994) note that although most
operations management scholars continue to focus on a
conformance-to-specifications definition of quality, the meeting-and/or-exceeding
expectations definition of quality is now widely accepted.
Reeves and Bednar (1994) claim that
definitions of quality also vary in their usefulness to managers. Quality
defined as excellence can provide powerful motivation to a workforce. Quality
defined as value or conformance to specifications can lead an organisation to
focus on efficiency, and quality defined as meeting and/or exceeding
expectations compels management to keep abreast of changes in consumer demands.
However, each definition has drawbacks for managers: excellence provides
limited practical guidance, value and quality typically represent different
concepts, conformance to specifications may cause managers to focus on internal
efficiency while neglecting external effectiveness, and understanding and
measuring consumers' expectations is problematic.
According to Reeves and Bednar (1994),
meeting and/or exceeding expectations is the most relevant definition of
quality for the consumers.
Research conducted for the profit impact of
market strategy (PIMS) program has led to the conclusion that "in the long
run, the most important single factor affecting a business unit's performance
is the quality of its products and services, relative to those of
competitors" (Buzzell & Gale, 1987).
As can be seen from the literature review, the
perception/expectation definition of quality is the most suitable one for the
service environments. The research for this study was carried out by using the
SERVQUAL measure, which is based on perception/expectation definition of
quality.
In this chapter, the design of the research
for this dissertation will be explained. First, a extensive definition of
SERVQUAL measure will be done, followed by a review of previous applications of
this measure in IS settings. Further sections will explain the survey design,
questionnaire design, and expected results from the research.
Zeithaml,
Parasuraman, and Berry (1990) started a ‘Service Quality Research Program’ in
1983 under the auspices of the Marketing Science Institute in Boston, MA. They
have completed 3 phases of their study in 1988, and came out with the ‘Extended
Service Quality Model’ (see figure 3-2). The articles “Communication and
Control Processes in the Delivery of Service Quality. Journal of Marketing. Vol
52” by Zeithaml, Parasuraman, &
Berry, (1988), and “Perceived Service Quality as a
customer-based Performance Measure: An Empirical Examination of Organisational
Barriers Using an Extended Service Quality Model” by Parasuraman, Berry, and
Zeithaml (1991) explains this model, which is called Extended SERVQUAL, and its
application in detail. Their study was carried out in 3 phases.
Phase I was an extensive qualitative study of
service customers and executives in four service sectors. Phase I resulted in
the development of a conceptual model (see Figure 3-1) that defines service
quality from the customers’ standpoint, identifies the criteria customers use
to judge quality, and outlines potential organisational shortfalls that can
cause poor service.
Phase II involved
an empirical study that focused on the “customer side” of their service quality
model. On the basis of these empirical findings, they consolidated the criteria
customers use to evaluate service quality into five dimensions: tangibles,
reliability, responsiveness, assurance and empathy (see table 3-1 on page 26).
They also developed and refined SERVQUAL, a methodology for measuring
customers’ perceptions of service quality.
In Phase III, they
focused on the service provider (or company) half of their Service Quality
Model, building on what they have learned about internal shortfalls from Phase
I and the case study from Phase II. In this phase, they conducted a large-scale
study to verify their hypotheses about potential causes of service quality
problems. They came up with Extended Model of Service Quality (see figure 3-2).
Figure 3- 1
Conceptual Model of Service Quality

Parasuraman,
Zeithaml and Berry’s Service quality model is based on a service quality gap
(Gap 5) at the customer side, and four
internal gaps at the service provider side which also determine the size of gap
5.
Figure 3- 2
Extended Model of Service Quality

Table 3- 1
Five Dimensions of Service Quality
|
Dimension
|
Dimension Attributes
|
|
Tangibility
|
The appearance of company’s physical facilities, equipment,
personnel, and communication materials.
|
|
Reliability
|
The ability of the company to perform the promised service
dependably and accurately.
|
|
Response
|
The willingness of the company to help customers and provide
prompt service.
|
|
Assurance
|
The knowledge and courtesy of the company’s employees and
their ability to convey trust and confidence.
|
|
Empathy
|
The caring, individualised attention the company provides to
its customers.
|
Source: Parasuraman, A., Berry, L.L., and Zeithaml V.A., 1991. Perceived
Service Quality as a customer-based Performance Measure: An Empirical
Examination of Organisational Barriers Using an Extended Service Quality Model,
Human Resource Management, 30(3), p.
338
Service Provider GAP 1: Difference between Customer Expectations and Management
Perceptions of Customer Expectations
Service firm
executives may not always understand what features connote high quality to
customers, what attributes a service must have in order to meet customer needs,
and what levels of performance on those features are necessary to deliver high
quality service (Parasuraman and Zeithaml, 1983). Because there are few clearly
defined and tangible cues for services, the gap between what customers expect
and what managers think customers expect may be considerably higher than it is
in firms producing tangible goods (Zeithaml, 1981). Zeithaml, Parasuraman,
& Berry (1988) proposed the size of gap 1 to be a function of marketing
research orientation, upward communication, and levels of management (see table 3-2).
Marketing
Research Orientation (MRO):
Extent to
which managers make an effort to understand customers’ needs and expectations
through formal and informal information gathering activities.
Lovelock (1981)claims
that service organisations place less emphasis than goods firms on marketing in
general, believing that the operations function is more critical. An operations
orientation, on the other hand, diverts focus from customers and reduces
efforts to understand their needs and
expectations. Zeithaml, Parasuraman, & Berry (1988) note that
Table 3-
2
Service Quality
Management Gap
1
|
Theoretical Constructs
|
Specific Variables
|
|
Marketing Research
Orientation
|
·
Amount of Marketing
research
·
Usage of marketing
research
·
Degree to which
marketing research focuses on service quality issues
·
Extent of direct
interaction between managers and customers
|
|
Upward Communication
|
·
Extent of
employee-to-manager communication
·
Extent to which inputs
from contact personnel are sought
·
Quality of contact
between top managers and contact personnel
|
|
Levels of Management
|
·
Number of layers
between customer contact personnel and top managers
|
Source:
Zeithaml,
V. A., Parasuraman, A., & Berry, L. L.,
1988, Communication and Control Processes in the Delivery of Service
Quality. Journal of Marketing. Vol 52, p
38.
the size of gap 1 should depend greatly on the
amount of marketing research conducted, to the extend this data is used by
managers, and the degree to which the research focuses on service quality
issues. They mention “the extent to which top managers interact with customers”
to be another factor influencing the degree of marketing research orientation.
Upward
Communication (UC): Extent to which top management seeks, simulates,
and facilitates the flow of information from employees at lower levels
Research carried
out by Schneider and Bowen (1985)
suggests that customer contact personnel can accurately predict customer expectations and perceptions of
service. Zeithaml, Parasuraman, & Berry (1988), for the same reason, claim that top managers’ understanding of
the customer may depend largely on the extend and types of communication
received from customer-contact personnel. Berry, Zeithaml and Parasuraman
(1985):
“In service
organisations, the types of messages that need to be conveyed are often complex
and ambiguous (e.g., problems encountered in service delivery, how employees
feel, morale and attitudes within the organisation) and top managers often
differ considerable in background
from contact personnel”. Peters and Waterman (1982) labelled successful service
organisations using rich communication channels as “management by walking
around”.
Zeithaml, Parasuraman,
& Berry (1988) therefore propose that three specific variables influence
the upward communication: extent of employee-to-manager communications, extent
to which input from contact personnel is sought, and quality of the contact
between top managers and contact personnel.
Levels
of Management (LOM): Number of managerial levels between top most and
bottom most levels.
Zeithaml, Parasuraman,
& Berry (1988) argue that “Layers of management inhibit communication and
understanding because they place barriers between senders and receivers of
messages. Therefore the greater the number of management levels, the larger gap
1 is expected to be.”
Service Provider GAP 2: Difference between Management Perception and Service
Quality Specification
Managers of
service firms often experience difficulty in attempting to match or exceed
customer expectations. A variety of factors -- resource constraints, short-term
profit orientation, market conditions, management indifference – may account
for the discrepancy between managers’ perceptions of customer expectations and the actual specifications established by management for a service.
Zeithaml, Parasuraman,
& Berry (1988) found out that the size of gap 2 to be a function of
management commitment to service quality, goal setting, task standardisation,
and perception of feasibility (see table 3-3).
Management
Commitment to Service Quality (MCSQ): Extent to which management views
service quality as a key strategic goal and allocates adequate resources to it.
One explanation
for gap 2 is the absence of total management commitment to service quality.
Emphasis on other objectives such as cost reduction, short-term profit, and
difficulty in meeting tight deadlines has outcomes that are more easily
measured and tracked and may supersede emphasis on service quality.
Table 3- 3
Service Quality Management Gap 2
|
Theoretical Constructs
|
Specific Variables
|
|
Management Commitment to
Service Quality
|
·
Resource commitment to
quality
·
Existence of internal
quality programs
·
Management perceptions
of recognition of quality commitment
|
|
Goal Setting
|
·
Existence of a formal
process for setting quality of service goals
|
|
Task Standardisation
|
·
Use of hard technology
to standardise operations
·
Use of soft technology
to standardise operations
|
|
Perception of Feasibility
|
·
Capabilities / Systems
for meeting specifications
·
Extent to which
managers believe consumer expectations can be met
|
Source:
Zeithaml,
V. A., Parasuraman, A., & Berry, L. L.,
1988, Communication and Control Processes in the Delivery of Service
Quality. Journal of Marketing. Vol 52, p. 39.
Specific variables
related to management commitment of service quality include the proportion of
resources committed to service quality (rather than to other goals), the
existence of an internal quality program, and the extent to which managers
believe their attempts to improve service quality will be recognised and
rewarded in the organisation.
Goal
Setting (GS): Existence of
a formal process for setting quality of service goals.
Research done by
Ivancevich and McMahon (1982) reveals
that goal-setting improves organisational performance and individual
achievement, and increases overall control in the organisation. Because
services are performances, the goals for service delivery usually are set and
measured in terms of machine or human performance. Management can analyse
customer complaints and other customer feedback to find out the weak points in
the service delivery process, and can set these points as goals to achieve. The
next step management should take is to develop procedures to monitor the
achievement of these goals.
The development of
service goals involves defining service quality in ways that enable providers
to understand what management wants to deliver. Existence of a formal quality
program that includes identification and measurement of service quality
standards is expected to reduce the size of gap 2.
Task
Standardisation (TS): Extend to which technology and training programs
are used to standardise service tasks.
The effective
translation of managerial perceptions into specific service quality standards
depends on the degree to which tasks to be performed can be standardised or
routinised. Efforts to conceptualise and measure the standardisation of tasks
in organisations research have focused
on technology (Zeithaml,
Parasuraman, & Berry, 1988). Some research these authors mention showed that technology can serve to
standardise and regularise employee behaviour. If tasks are routine, specific
rules and standards can be established and effectively executed. If services
are customised for individual customers, specific standards are difficult to
establish. However, recurring and non-technical aspects of even highly
customised services (e.g. non-technical aspects of services in a help desk) can
be standardised.
According to
Levitt (1976) standardisation can
take three forms: (1) substitution of hard technology for personal contact and
human effort, (2) improvement of work methods (soft technology), and (3)
combination of these 2 methods. An example for hard technology can be achieved
by computer telephony integration where service employee or customer initiated
telephone conversations could be handled by a computer. An example of soft
technology would be provision of query tools to end-users to extract the data
they need out of a database. A combination of these methods would be “sales
force automation” to eliminate task-interfering duties like price calculations,
proposals for repeat sales etc., from the sales force.
Perception
of Feasibility (POF):
Extent to which managers believe
that customers’ expectations can be met.
Zeithaml, Parasuraman,
& Berry (1988) found out that executives in repair service firm
participating in their study were fully aware that customers view quick
response to appliance breakdowns as a vital aspect of high quality service.
However, they believed that establishing specifications to deliver a quick
response was not feasible for the reasons that (1) it was difficult to forecast
time required for a specific maintenance, and (2) skilled technicians were less
available (in summer) when equipment failure rate was high.
A similar pattern
can be seen in IS department as well. Employee turnover and experience curve
needed for newcomers, changing business priorities etc. are creating resource
allocation problems within IS.
Variables related
to this construct include the organisational capabilities and systems for
meeting specifications and the degree to which managers believe expectations
can be met economically.
Service Provider GAP 3: Difference between Service Quality Specification and
Service Delivery
Gap 3 is the
discrepancy between the specifications for the service and the actual delivery
of the service. It can be referred as the “service performance gap,” that is,
the extent to which service providers do not perform at the level expected by
the management. This gap occurs when employees are unable and/or unwilling to
perform the service at the desired level.
Table 3- 4
Service Quality Management Gap 3
|
Theoretical Constructs
|
Specific Variables
|
|
Teamwork
|
·
Extent to which
employees view other employees as customers
·
Extent to which
contact personnel feel upper level managers genuinely care for them
·
Extent to which
contact personnel feel they are co-operating (rather then competing) with
others in the organisation
·
Extent to which
employees feel personally involved and committed
|
|
Employee-Job Fit
|
·
Ability of employees
to perform job
·
Importance and
effectiveness of selection process
|
|
Technology-Job Fit
|
·
Appropriateness of
tools and technology for performing job
|
|
Perceived Control
|
·
Extent to which
employees perceive they are in control of their jobs
·
Extent to which
customer contact personnel feel they have flexibility in dealing with
customers
·
Predictability of
demand
|
|
Supervisory Control Systems
|
Extent to which employees
are evaluated on what they do (behaviours) rather than solely on output
quantity
|
|
Role Conflict
|
·
Perceived conflict
between expectations of customers and expectations of organisations
·
Amount of paperwork
needed to complete service transactions
·
Number of internal
contacts that customer contact people must make to complete a service
transaction or answer customer queries
·
Existence of
management policy that conflicts with specifications
|
|
Role Ambiguity
|
·
Perceived clarity of
goals and expectations
·
Frequency and quality
of downward communication
·
Extent of constructive
feedback given to contact personnel
·
Perceived level of
competence and confidence
·
Product knowledge of
contact personnel
·
Product-specific
training provided to contact personnel
·
Training in
communication skills provided to contact personnel
|
Source:
Zeithaml,
V. A., Parasuraman, A., & Berry, L. L.,
1988, Communication and Control Processes in the Delivery of Service
Quality. Journal of Marketing. Vol 52, p.
41.
As shown in table
3-4, the main theoretical constructs proposed to account for the size of gap 3
are teamwork, employee-job fit, technology-job fit, perceived control,
supervisory control systems, role conflict, and role ambiguity.
Teamwork
(TEAM):
Extent to which all employees pull
together for a common goal.
The value of
teamwork was emphasised throughout the exploratory interviews carried out by
Zeithaml, Parasuraman, & Berry
(1988). In high performing groups, people function as a team and accomplish
their goals by allowing group members to participate in decisions and to share
in the group’s success.
Zeithaml,
Parasuraman, and Berry (1988) proposed the following aspects as being critical
to teamwork: the extent to which employees view other employees as customers,
the extent to which employees feel management cares about them, the extent to
which employees feel they are co-operating rather than competing with each
other, and the extent to which employees feel personally involved and
committed.
Employee-Job
Fit (EFIT): Match between the skills of employees and their jobs.
Zeithaml,
Parasuraman and Berry (1988) found out during their exploratory study that
service quality problems often occur because contact personnel are not well
suited to their positions. Contact personnel may lack language, interpersonal,
or other communication skills to serve customers effectively. Zeithaml et al.
(1988) claim that managers often do not give enough attention or devote
sufficient resources to hiring and selection process. They proposed that
emphasis on matching the employee to the job through selection process and the
consequent ability or skill of employees to perform the job well affect the
size of gap 3.
Technology-Job
Fit (TFIT): The appropriateness of the tools and technology that
employees use to perform their jobs.
Provision of high
service quality also depends on the appropriateness of the tools or technology
the employee uses to perform the job. Technology and equipment can enhance
employees’ performance. Appropriate and reliable technology must be provided,
together with required training, for high quality service delivery.
Technology-Job fit
can be an extremely important cause of low service quality in IS service
delivery. Inadequate tooling may cause delays in service delivery. Tools used
for performance monitoring, network availability and congestion, systems
monitoring and alert, help desk requests handling and follow-up may increase
level of service at reduced costs.
It should also be
noted that availability of right technology is an important factor of
employee-job fit and job satisfaction.
Perceived
Control (PC): Extent to which employees perceive that they are in
control of their jobs and that they can act flexibly.
The notion of
perceived control suggests that individuals’ reaction to stressful situations
depend on whether they can control these situations (Glass and Singer, 1972).
Averill (1973) has
delineated three forms of control: behavioural, cognitive, and decisional.
1. Behavioural
control is the ability to make responses that influence threatening situations.
2. Cognitive
control is the ability to reduce stress by the way information is processed by
an individual.
3. Decisional
control involves a choice in the selection of the outcomes or goals.
Zeithaml et al.
(1988) proposed that when service employees perceive themselves to be in
control of the situations they encounter in their jobs, they experience less
stress. Lower level of stress, in turn, lead to higher performance. When
employees perceive that they can act flexible rather than by rote in problem
situations encountered in providing services, control increases and performance
improves.
Perceived control
can be a function of the degree to which organisational procedures, and culture
limit contact employee flexibility in serving customers. It can also be a
consequence of the degree to which an employee’s authority to achieve specific
outcomes with customers lies elsewhere in the organisation. Service companies
commonly are organised internally in a way that makes providing fast service to
the customer difficult for the service employee. When a contact person must get
the approval of other departments in the organisation before delivering a
certain service, service quality is jeopardised. Though the contact person may
be totally committed to serving the consumer, he or she cannot perform well
because control over the service has been dispersed among multiple
organisational units. Finally, perceived control can be a function of the
predictability of the demand, which is a major problem in service businesses
Supervisory
Control Systems (SCS): The extent to which employees are evaluated
/compensated on what they do (behaviour) rather than solely on output quantity.
Output-based
measures and systems may not be appropriate or sufficient in the service
organisations (Zeithaml, Parasuraman,
& Berry, 1988). For example, IT users want programmers to be friendly,
accurate and fast even though friendliness would not be a factor in
output-based systems.
Performance can be
monitored through behavioural control systems, which consists largely of
observations or other reports on the way employees work or behave rather than
output measurements. Techniques used for performance monitoring may vary from
questionnaires carried with customers just after the service is delivered to
‘shopper’ research (researchers pretending to be customers).
Role
Conflict (RC): Extent to which employees perceive that they cannot
satisfy all the demands of all the individuals (internal
and external customers) they must serve.
The role attached
to a position in an organisation represents the set of behaviours and
activities to be performed by the person occupying the position (Katz and Khan,
1978). They stated that “The role is defined through the expectations, demand
and pressures communicated to employees by individuals (e.g. top managers,
immediate supervisors, customers) who have a vested interest in how employees
performs their jobs.” When expectations of this people are incompatible or too
demanding, employees experience role conflict, the perception that they cannot
satisfy all the demands of all the individuals. Zeithaml, Parasuraman &
Berry (1988) indicate research in the literature which has shown that perceived
role conflict is related positively to feelings of job-related tension and
anxiety and negatively to job satisfaction.
Because IS
employees are links between IS and user community, they must satisfy the needs
of both. Sometimes expectation of users and allocation of resources and
priorities in the department conflict. For example, a programmer allocated to a
task may be re-assigned to another task either due to changing user or IS
management priorities.
Zeithaml,
Parasuraman and Berry (1988) note to the fact that managers of service
organisations can inadvertently create role conflict for employees through
excessive paperwork and unnecessary internal road-blocks.
Kahn et al. (1964)
say that perceptions of role conflict are psychologically uncomfortable for the
employee, can have a negative effect on the employee’s satisfaction and
performance in the organisation, and increases absenteeism and turnover.
Zeithaml et. al. (1988) claim that a service organisation that recognises
inherent conflicts in the employee’s job will go far in eliminating the
distress of role conflict. The result will be a better employee performance and
hence a reduction of gap 3. Use of performance measurement systems that focus
on the consumer in addition to internal efficiency goals is one example of how
role conflict can be reduced.
Role
Ambiguity (RA): Extent to which employees are uncertain about what
managers and supervisors expect from them and how to satisfy those
expectations.
When employees do
not have the information necessary to perform their jobs adequately, they
experience role ambiguity (Katz and Khan, 1978). Role ambiguity may occur
because employees are uncertain about what managers or supervisors expect from
them and how to satisfy these expectations or because they do not know how
their performance will be evaluated and rewarded.
Zeithaml,
Parasuraman, and Berry (1988) indicate some organisational variables that
moderate the role ambiguity experienced by employees. The frequency, quality
and accuracy of downwards communication are likely to affect employee’s role
ambiguity. Downward communication involves messages used primarily by managers
to direct and influence personnel at lower levels in the organisation. It
typically pertains to the goals, strategies, and objectives for the
organisation and its departments, job instruction and rationale, policy and
procedures, and assessment and correction of performance. The more frequently
managers provide clear and unambiguous communication about those topics, the
lower employees’ role ambiguity will be.
Another
organisational variable mentioned by Zeithaml et al. (1988) is training.
Training provided by the organisation can help employees gain an accurate
understanding of what is expected and how they will be evaluated. Training that
relates to specific services offered by the firm should help the contact person
in dealing with the customer. Training in communication skills, especially in
listening to customers and understanding what customers expect, also should
give contact personnel greater role clarity. All such organisational training
programs should affect the employee’s perceived level of confidence or
competence, which should result in greater role clarity. These aspects are
especially important in IS service provision as gathering of the user
requirements is the most important aspect of service delivery.
Service Provider Gap 4: Difference Between Service Delivery and External
Communication
Advertising and
other communications by a firm can affect customer expectations. Discrepancy
between service delivery and external communication - in the
form of exaggerated promises and/or the absence of information about service
delivery aspects intended to serve customers well - can affect customer
perceptions of service quality. Zeithaml et al. (1988) proposed that horizontal
communication and propensity to over-promise within an organisation affect the
size of gap 4 (also see table 3-5).
Horizontal
Communication (HC): Extent to which communication and co-ordination
occur between different departments that have contact with and/or serve
customers.
Table 3- 5
Service Quality Management Gap 4
|
Theoretical Constructs
|
Specific Variables
|
|
Horizontal Communication
|
·
Extent of input by
operations people in advertising planning and execution
·
Extent to which
contact personnel are aware of external communications to customers before
they occur
·
Communications between
sales and operations people
·
Similarity of
procedures across departments and branches
|
|
Propensity to Over-promise
|
·
Extent to which firm
feels pressure to generate new businesses
·
Extent to which firm
perceives that competitors over-promise
|
Source: Zeithaml, V. A., Parasuraman, A., & Berry, L. L., 1988, Communication and Control Processes in
the Delivery of Service Quality. Journal of Marketing. Vol 52, p. 44.
Daft and Steers
(1985) are quoted in Zeithaml et.
al. (1988) defining horizontal communications as the lateral information flows
that occur both within and between departments/groups of an organisation. The
basic purpose of horizontal communication is to co-ordinate people and
departments so that the overall goals of the organisation are achieved. If high
service quality is to be perceived by the customer, horizontal communication
among departments is necessary.
One essential form
of horizontal communications in service organisations involves the advertising
(external promises) and contact personnel. When communication occurs between
contact personnel and advertising department/function (i.e. advertising
function communicates the promise), consumers are led to expect what contact
personnel can deliver. Serious problems can be expected when advertised promise
is not feasible.
In the focus group
interviews carried out by Zeithaml et. al. (1988), contact personnel expressed
the need to be aware of all company communications before they run as basis for
monitoring and responding to the consumer’s advertising induced expectations.
They also believed their inputs to the campaign would result in more reasonable
customer expectations.
Another important
aspect of horizontal communication is the co-ordination or integration of
departments in the organisation to achieve strategic objectives. In Gouden Gids
case, co-ordination between different IS functions, and consistency of policies
and procedures in implementation of different IT projects is an important
aspect of user expectation. If the service quality varies randomly in time,
users will see a bigger gap 4.
Propensity
to Over-promise (PTO): Extent to which the firm feels pressure to
promise more to customers than can be delivered.
Increased levels
of internal pressure and increased demand for new IT solutions as part of
‘preserve market leadership’ strategy, IS function has the risk of either
over-promising on one side, and low-productivity image on the other. End result
is that ‘projects being late’ becomes a acceptable standard.
Vendor
Presentations could be another cause of service delivery / communication gap.
Vendors communicate their products and services to users as very
straightforward and cheap solutions without considering the maintenance,
customisation and integration issues of their solutions. On the other hand, IS
is always cautious for the new products since they are aware of these problems.
Unless IS function communicates this situation, gap 4 will become bigger.
Service Quality Gap 5: Difference Between Customer Expectations and Customer
Perceptions
The factors on
which customers base their expectations are, according to Zeithaml,
Parasuraman, and Berry (1990):
1. Word-of-mouth
communication
2. Personal
needs
3. past
experience
4. external
communications to the customer
Two of these
factors (1 and 4) are directly connected to communication.
Word-of-mouth
communication
Webster (1991)
argues that word-of-mount communication is the most influential factor of
customer’s perception of service quality. Quality is usually determined in a
subjective manner. Since services are intangible, it is hard to determine
quality on tangible grounds (measurable norms). The receiver of the
word-of-mouth ‘advertising’ sees the sender as someone with past experience (an
expert) and places great value on that opinion. The message of word-of-mouth
has usually greater effect than the external communication of the organisation
(i.e. advertising).
Personal
needs
Personal needs are
the basis for the customer expectations. The expectations of customers will
vary because of their individual characteristics and circumstances (Zeithaml
et. al. 1990). For example, the expectation from a new system implementation
may be different based of whether there is already a system or not. The
‘ultimate’ service for a customer can be a ‘bad’ service to another.
Past
experience
Past experience
provides the customer with an image of the services of an organisation.
Performing the service right-the-first-time is important since otherwise the
prospects of repeat turnover could be lost. Unsatisfied customers will very
likely search for alternatives. Research shows that a satisfied customer tells
his good experience to 3 persons whereas a dissatisfied customer communicates
his experience to 11 persons (source: lecture notes by Prof. Dalgic, Henley
Management College, 1993).
It is worth
mentioning that satisfactory past experience leads to positive word-of-mouth
communication, which is the most effective form of advertisement for the
service industries.
External
communications to the customer
As already
discussed in chapter 2, services are less tangible than products or not
tangible at all. In the communication with their customers, it is important
that service organisations make their services more tangible in order to reduce
the perception risk. Another important factor is that communication in services
cannot be totally separated from the servicing process. However, in
goods/production industries, communication with customers can take place
afterwards.
These factors that customers base their
expectations can be affected by the organisation. Zeithaml, Berry, and Parasuraman (1988) state that causes of gap
5 are lying in the internal gaps 1 to 4, which were discussed earlier. Pitt et. al. (1995) showed the factors
affecting users’ expectation in an IS context (see figure 3-3).
The
personal needs of customers can be identified by marketing research as
discussed in Gap 1. Users’ personal needs influence their expectation of IS
service. A manager’s need for urgency may differ depending on whether he or she
has a PC failure the day before an annual presentation, or simply wants a new
piece of software installed. Of course, prior experience is a key determinant
of expectations.
Figure
3-3 Determinants of Users’ Expectations in an IS Department

Word-of-mouth communication and past
experience are outcomes of service delivery process and can be influenced by
reducing gaps 2 and 3. Users talk to each other and exchange stories about
their relationship with the IS department. These conversations are a factor in
fashioning users’ expectations of IS service. Users may adjust or raise their
expectations based on previous service encounters. For instance, users who find
that the help desk frequently solve their problems are likely to expect answers
to future problems.
The external communication must deliver
realistic messages as discussed for gap 4. An important source of expectations
is the IS department itself, as the service provider. Its communications
influence expectations. In particular, IS can be a very powerful shaper of
expectations during systems development.
In the IS sphere at least Pitt el. al.
(1995) claims, users are subject to another source of communications not
appearing in Zeithaml, et al.’s (1990) model. Vendors often influence users’
expectations (see figure 3-3). Users may read vendors’ advertisements, attend
presentations, or even receive sales calls. Vendors, in trying to sell their
products, often raise expectations by parading the positive futures of their
wares and downplaying issues such as systems conversion, compatibility or
integration with existing systems. IS has no control over vendors’
communications, and must recognise that they are an ever present force shaping
expectations. This is not necessarily bad. Vendors’ communications can be a
positive force for change when they make users aware of what they should expect
from IS.
Zeithaml, Parasuraman, and Berry (1990)
proposed a Process Model for Continuous Improvement of Service Quality, as
shown in Figure 3-4. The 4 boxes with text “take corrective action” refer to,
from top to bottom, the fix of the 4 internal gaps in a service organisation.
They also imply the sequence of service quality improvement by this figure:
i.e. measure users’ perceptions and expectations of service (gap 5), identify
the reasons behind perception/expectation mismatch (gap 1) , set appropriate
standards for improvement of problem areas (gap 2), monitor if the organisation
is capable of delivering the service according to the standards (gap 3), and
check if the service improvement effort is communicated properly to both within
the service organisation and to the customers (gap 4).
Figure 3- 4
Process Model for Continuous Improvement of Service Quality

Longitudinal use of SERVQUAL may also
provide IS with a feedback loop that can be used to evaluate the effect of
change in service strategy. In essence, allowing the IS manager to analyse the
effectiveness of service quality in terms of a market analysis allows for
corrective action based on varying customer requirements.
It is important to note that the IS function
performance dimensions identified by Saunders and Jones (1992), and the 5 gaps
identified by Zeithaml et al (1990) are closely related. Especially, the
performance dimensions which are related to the internal efficiency of IS
departments, such as quality of information outputs, IS function’s operational
efficiency, IS staff competence, adequacy of system development practices, andability of IS to integrate and assimilate emerging technologies,
could be controlled by IS managers to improve the perception of IS performance
by others in their organisations.
Another point that should be noted is that
the categorisation of performance dimensions as done by Saunders and Jones
(1992) is more based on the technical functions as performed within IS.
However, the five service quality dimensions identified by Zeithaml et al.
(1990) are based on how the service is delivered to the users. At the very end,
both categorisations are dealing with IS services. Although, the service
quality dimensions (Zeithaml et. al. 1990) are more suitable for the research
of this dissertation, the Saunders and Jones (1992) performance dimensions give
a better understanding of IS function.
There are quite
few applications of SERVQUAL instrument to the Information Services, ranging
from academic studies aiming for validation of instrument for the information
services, to surveys done for big IT service providers. Some of these
applications and their findings will be mentioned in this section.
Remenyi and Money
(1994) applied SERVQUAL technique to investigate the effective use of computer
systems and functioning of Information systems department at the Henley
Management College in the United Kingdom.
Pitt and Watson
(1994), as reference by Pitt et. al. (1995), focused on the application of the
SERVQUAL as a diagnostic tool. They have completed longitudinal studies in two
organisations. In each case, service quality was initially measured, then IS
management took steps to improve service, and service quality was measured 12
months later. In both cases, significant improvements in service quality were
detected. These organisations have embarked on a program of continuous
incremental improvements of IS service quality and use SERVQUAL to measure
their progress. Their experience shows that IS practitioners accept service
quality as a useful valid measure of IS effectiveness, and they find that
SERVQUAL provides valuable information for redirecting IS staff toward
providing higher quality service to users. Pitt et al. (1995) concluded after
their study that it may be appropriate to split tangibles into two dimensions:
appearance and hardware/software. Because hardware and software can have a
significant impact, a measure of IS service quality possibly needs further
questions to tap these dimensions.
Kappelman et al.
(1995) carried out a study to assess the service quality of a IS service
provider. Data was gathered from customers of a single, large, international
provider of information services with (1994) revenues in access of $10 billion.
The respondents were all IS professionals and/or executives responsible for
purchasing IS services.
Kettinger and Lee
(1994) used the SERVQUAL
instrument in an internal “college computing service”.
Their statistical analysis of dimensions resulted in deletion of several items including the entire
‘tangibles’ dimension. Their study deducted that SERVQUAL has revealed same
and, in the cases of reliability and service empathy, better results than UIS
(see section 2-2). Pitt et al. (1995) also express some concerns on the poor
reliability of the tangibles dimension. Kappelman et al. (1995) dropped 3 items
of the “tangibles” dimension from their study.
There has been
some discussions in the service marketing area on whether SERVQUAL is
applicable to IS environments, and whether the expectation dimension of
SERVQUAL is useful for management decisions. Another discussion subject is the
measurement of gaps; whether gaps should be measured directly as originally
proposed by Grönroos (1984), or as
a difference between perceptions and expectations.
Pitt, Watson and
Kavan (1997) agree with Parasuraman
et. al. (1994), that service quality measurements incorporating customer
expectations provide richer diagnostic information than those that merely use
perceptions. Pitt et. al. (1997) concede that the perceptions-only measures may
possess stronger statistical properties than do gaps measures. However they
believe that IS managers find the concept of a gap most useful, for it
indicates a shortfall, something that needs to be closed. They also believe
that IS managers want to know and should know what their customers expect.
Pitt et al. (1997)
also say that in order for customer expectations to be managed, they first
should be measured. There might be important differences between various groups
of customers with regard to their expectations of service quality, which might
have customer relationship implications. For example, mail users have different
expectations than supervisors of data entry department. These would not be
detected if expectations were not measured. Moreover, Parasuraman et al. (1993)
( a work cited in Pitt et al., 1997) claim that measuring both expectations and
perceptions over time gives a better indication of where changes have occurred.
Any instrument
advocated as a measure of IS success should first be validated before
application. The study carried out by Pitt et al. (1995) provided evidence that
practitioners can, with
considerable confidence, use SERVQUAL as a measure of IS success.
Kappelman et al.
(1995) mention that “Service Quality Model” that Zeithaml, Parasuraman, and
Berry (1990) based their work on was originally developed by Grönroos (1984).
Kappelman et. al. (1995) continue: Grönroos’ model posits that one’s perception
of service quality is the result of an evaluation process whereby “the customer
compares … the perceived service against the expected service”. Kappelman et
al. (1995) note that Zeithaml, Parasuraman, and Berry’s (1990) SERVQUAL
instrument separately measures the expected and experienced levels of service,
and then the service quality scores are calculated as the difference between
these two measures. Their instrument do not measure the outcome a cognitive
evaluation process as Grönroos (1984) originally described. Kappelman et al.
(1995) noted that the implicit assumption that subtraction accurately portrays
this cognitive process seems overly simplistic.
Kappelman et al
(1995) note to the fact that customers’ interpretation of expectations concept
in SERVQUAL is problematic. They say that customer’s ideal point is at an
infinite level. As supported by other studies as well, a high proportion of
extreme responses (e.g. 7 on a 7 point scale) makes expectation scores less
useful as an increasing proportion of the variation in difference-based
SERVQUAL scores is due only to perception scores. They deduct
that the perception component of perception-minus-expectation score
consistently performs better as a predictor of overall service quality than the
difference score itself.
Kappelman et al.
(1995) proposed an alternative method to measure service quality which (they
mention ) was also proposed by Babakus and Boller (1992). They propose to
revise the wording of SERVQUAL items into a format combining both expectations
and perceptions into a single question (as originally thought by Grönroos).
They proposed to combine the SERVQUAL’s service delivery gap questions with a
form of “Much better than expected”, or “Much worse than expected”. Then the
gaps could be measured directly. The inherent problems with calculated scores
might then be minimised.
As mentioned in
section 3.1, there are three samples in the SERVQUAL instrument: service users,
managers of servicing organisation, and employees of service organisation.
The first group in
this study, customers, are the
users of services of IS department.
The second group
is composed of (IS) managers and senior staff of the (IS) department. This
group sets the service standards and controls their implementation.
The third group is
(IS) employees. All employees of IS department (except line management) were
included in this group. IS employees are seen like user contact personnel
according to the categorisation done by Zeithaml, Parasuraman, and Berry
(1990). Although some employees have more contact with users than others, all
IS staff has some kind of communication with the user community and all are
included in the survey.
A non-probability
and judgmental sampling technique was used for the population of users survey
group. All management team members and key managers were included. All
supervisors and end-users were also selected based on their IS service usage
importance, service request frequency, and command of English language. In this
respect, the user group represents the complete universe; the judgmental
sampling was done solely to identify the users who are affected by IS services.
IS management and
IS employee surveys were conducted on the whole population.
Table 3- 6 Survey Sample Groups and Their Representation of
Population
|
Target
Group / Sample
|
Sample
Size
|
%
of Population
|
|
Users
|
37
|
100% according to
set criteria
|
|
Service (IS)
Managers
|
10
|
100%
|
|
Service (IS)
Employees
|
24
|
100%
|
All questionnaires
were sent out via internal mail. Anonymity was provided to increase response
rate. Pre-labelled (return address only) envelopes were sent together with the
questionnaires.
Despite the fact
that tangibility dimension of SERVQUAL (and especially its appearance related
items) is found not to be important in the IS settings by previous research,
this dimension is kept intact in this survey. Management wanted to see if the
dimension was really unimportant. All SERVQUAL questions are reformulated to
reflect an IS environment for expectation items, and to reflect the internal IS
department of Gouden Gids for the perception items.
The customer
survey was aimed to reveal the size of Service Quality Gap (gap 5) for the IS
department. The questionnaire (see appendix A) consisted of the following
parts: Two 22-item question sets, one customised for IS departments in general
to get users expectation from an IS department (A-1) and the other customised
for the Gouden Gids IS department to collect users perception of IS service
quality (A-2). Users did not know which questions were for which dimension of
service quality. The mapping of questions to dimensions were as follows:
Dimension
Questions
Tangibility 1
to 4
Reliability 5
to 9
Response 10
to 13
Assurance 14
to 17
Empathy 18
to 22
A point allocation
question (A-3) was included to guide users to allocate points to 5 dimensions
of IS service, sum of allocated points being 100. User were also asked to
identify two most important and the least important dimension of service (A-4).
Although this question and the point-allocation question seems to be redundant
to some extent, they were designed to force respondents give consistent ratings
to service dimensions. Respondent were also asked (A-5) to rate the overall
quality of IS service delivery (overall perception).
Questionnaire
Model B (see appendix A) was targeted for IS managers in order to identify the
sizes of gap 1 (Difference between Customer Expectations and Management
perceptions of Customer Expectations) and gap 2 (Management Perception -
Service Quality Specification Gap).
Gap 1 was
identified by usage of question sets B-1 to B-4. B-1 is a reformulation of the
22-question set, asking IS managers how they think users value quality of IS
services, in other words, IS managers were asked to predict what user thought
of IS department. Similarly, B-2 is a point allocation, and B-3 is a question
to identify the most important two dimensions and the least important
dimension. Managers were asked to answer B-2 and B-3 questions also from a
users’ point-of-view. B-4 is identifying managers overall perceptions of how
users value IS services.
The differences
between A-2 and B-1, A-3 and B-2, A-4 and B-3, and finally A-5 and B-4 will be
used to identify Gap 1 components (at service quality dimensions level).
The first 9
questions of B-5 question set are related to the causes of Gap 1 as shown
below. Please note that questions 2, 4, 6, 8, 9, 10, 13 and 19 are negated, and
their results will be negated with 7-point Linkert-scale negation formula (8
minus value).
Construct
Influencing Gap 1 Related
Questions
MRO
Marketing Research
Orientation 1
to 4
UC Upward Communication 5
to 8
LOM Levels
of Management 9
The last 11
questions of B-5 are related to the causes of Gap 2, as shown below:
Construct
Influencing Gap 2 Related
Questions
MCSQManagement
Commitment to Service Quality
10
to 13
GS Goal
Setting 14
and 15
TS Task
Standardisation 16
and 17
POF Perception
of Feasibility 18
to 20
Question sets B-6
and B-7 are designed to identify whether IS managers think that some standards
exist for each of 5 dimensions of service quality, and whether they find these
standards to be formal or informal. These questions will help identify the size
of gap 2.
IS Personnel
Questionnaire Model C (see appendix A) was designed to assess the sizes of gap
3 (Service Quality Specification - Service Delivery Gap) and gap 4 (Difference
Between Service Delivery and External Communication).
The first two
question sets are again based on the five dimensions of service quality.
Question set C-1 is designed to cross check employees’ perception of ability of
IS to meet standards (Gap 3). C-2 checks IS employees’ assessment of whether IS
is able to meet promises given to customers for each dimension of service
quality (i.e. Gap 4).
Question set C-3
consists of 31 question and aims to reveal the sizes of constructs leading to
Gaps 3 and 4.
Gap 3 (Service
Quality Specification - Service Delivery Gap) questions are as follows;
Construct
Influencing Gap 3 Related
Questions
TEAM Teamwork
1
to 5
EFIT Employee-Job
Fit 6
and 7
TFIT Technology-Job
Fit 8
and 9
PC Perceived
Control 10
to 13
SCS Supervisory
Control Systems 14
to 16
RC Role
Conflict 17
to 20
RA Role
Ambiguity 21
to 25
Gap 4 (Difference
between Service Delivery and External Communication) questions are as follows;
Construct
Influencing Gap 4 Related
Questions
HC Horizontal
Communication 26
to 29
POF Propensity
to Over-promise 30
and 31
Information
services department provides a variety of services to the Gouden Gids
organisation. There are various user groups with different IS service and
support needs. Two major user groups are users of main operational system and
desktop (personal computer) users. The service quality gap is expected to be
different for different user groups. However, this research did not aim to
reveal service quality gap per user group: It was tought that, before the
service quality given to specific user groups could be evaluated, a generic
result based on all user groups should be available. The
results will show the average of users perception of IS service quality.
Gouden Gids IS
department was spin-off from Publitec in 1991. Data centre was handed over to
Gouden Gids later in 1993. User community has an experience with Publitec and
hence IS department during the development of current system, which took place
between 1987 and 1989. The system became stable after 1990. However, it had
been seen as a barrier to the organisational development and flexibility as it
was very difficult to maintain and add new functionality. As a result, many
satellite systems were created, usually by users initiative and without IS
control. Replacement of this operational system is being considered since 1993,
but the system is still operational.
Another
main change over the 1990’s was the number of PCs and automated workplaces,
which was accommodated by network under-capacity, increased backup and security
requirements, and software and hardware maintenance. The level of PC support
was at times heavily criticised by the user community. Number of desktop
computers has increased from very few
in 1990 to about 350 in 1998. Ordering and acquisition of hardware and software, its installation and
maintenance is mainly done by IS department.
New products like
telephone inquiry service and
Gouden Gids On-Line (Internet) were introduced in 1996 and 1997 respectively.
These products are delivered on-line, and require timely sales and production
systems (as opposed to paper-based directories which are printed once a year).
All these changes
and inadequate support of IS department to support them is expected to result
in a low perception of IS service quality, meaning a large service quality gap.
IS management is
aware of low user valuation of IS service quality by user community. For this
reason, Gap 1 (Customer Expectations minus Management perceptions of Customer
Expectations ) will be small. Gap 2 (Management Perception - Service Quality
Specification) is expected to have grown over the years to a serious size, due
primarily to short term operational pressures and the nature of a maintenance
organisation. There has been an organisational discontinuity between the
development of the main operational system and its maintenance (i.e. Publitec
vs. Gouden Gids IS).
Gap 3 (Service
Quality Specification - Service Delivery Gap) is expected to be the biggest
gap. Problems arising from the existence of different functional groups in the
IS department in the past, and the integration problems of the data centre with
the rest of the IS were two barriers against coherent teamwork. High staff turnaround
in the IS department, and difficulties with the recruitment of new staff
created employee-job fit problems. In addition, the technological gap between
the old technology that Gouden Gids operational systems are based on, and the
technology levels that employees want to work with, together with the
difficulties of applying new technology to the existing systems created
technology-job fit problems.
It is also
expected that supervisory control systems will be loose in terms of service
quality and employee productivity follow-up. Control systems are not supported
by adequate merit systems, and this creates inefficiency. The lack of standards
existence and/or their implementation will result in high role conflict and
role ambiguity problems. Quick changes in user demands and/or changing IS
management directions are expected to be a major factor for role ambiguities.
Gap 4 (Difference
Between Service Delivery and External Communication) is expected to be
moderate. Horizontal communication is expected to have some problems.
Propensity to over promise by past IS management (by overly optimistic and
unrealistic plans), and unrealistic sales-talk level project estimations done
by some third parties have created a over-promise and under-promise debate
between IS and users.
All results were
recorded in spreadsheet models in MS Excel tool. A one-page print of models for
each questionnaire (Models A, B and C)
are provided in Appendix B.
Questionnaire
Model A was sent out to 37 users in total. 21 users responded; yielding a
response rate of 56.75%.
Please refer to
the first part of Appendix B, “A- User Questionnaire” for a detailed analysis
of the results for this section.
Service Quality
Gap calculated by averaging user responses is -1.49 (average perception 4.37 -
average expectation 5.86). Average score of users’ overall perception of IS
service quality (question A-5) is,
however, 4.19.
Users value
reliability and response as the most important dimensions of IS service (see
chart A-1). Tangibility received the lowest importance, confirming other
SERVQUAL surveys (e.g. Pitt et. al. 1995).
Detailed look to A-3 and A-4 questions showed that assurance was the third most and empathy was the second
least important service quality dimensions.

A service quality
gap of 1.49 on a 7-point Linkert-scale is quite high. For this reason, an
extensive analysis of perception and expectation scores of all service quality
dimensions and of individual construct’s contribution to these dimensions will
be done.

It is surprising
that size of gap at the service quality dimensions’ level and the importance
given to these dimensions by the user community is highly related: Gaps are
bigger for important dimensions (see chart A-2). The only exception to this
trend is Assurance and Empathy dimensions. The assurance dimension has a
positive construct gap (construct A2, friendliness of IS employees) which may
have caused this discrepancy. Since users were directly asked to allocate
points to service dimensions in question set A-3, these responses are
preferable to the results of A-1 and A-2 comparison.
Table 4- 1
Service Quality Dimension Gaps and Dimension Importance
|
Service
Quality Dimension
|
Gap
Size
|
Importance
to User(*)
|
|
Tangibility
|
-0.92
|
5
|
|
Reliability
|
-2.40
|
1
|
|
Response
|
-1.64
|
2
|
|
Assurance
|
-1.12
|
3
|
|
Empathy
|
-1.23
|
4
|
(*) Lower figures imply higher importance.
A detailed
analysis of constructs influencing five service quality dimensions will be done
here. Please note that the gap sizes for each individual construct is
illustrated graphically in Chart A-3.

Tangibility
Out of 4
constructs of tangibility dimension, two have very small gaps. These are visual
appearance of physical facilities (T2, -0.29) and appearance of IS personnel
(T3, 0.29). These items were found to be of little importance or unimportant to
IS in some other studies (e.g. Pitt et. al., 1995).
Quality of
equipment (T1, -1.24) and quality of service and support material such as
documentation (T4, -2.43) is found to be poor by users. The size of gap on
service and support material is at an alarming level and is the main
contributor to tangibility dimension gap.
Reliability
All constructs of
reliability dimension are valued low. Two of these constructs, which both
relate to “Ability to meet deadlines, or deliver service at the promised time” (Rel1,
and Rel4) are extremely low. Gap sizes for these constructs are -3.24 and
-2.90, respectively. These are also the highest two gaps of all constructs of
all dimensions.
Other dimensions
of reliability have big gaps as well. Interest of IS in solving users’ problems
(Rel2, -2.14) and ability of IS to perform services right the first time (Rel3,
-2.33) are found to be inadequate by the users. IS emphasis on delivery of
error-free systems and services (Rel5, -1.38) has the smallest gap in the
reliability dimension.
Response
Users think that
IS is not informing them on when services will be delivered (Res1, -2.76).
Communication of IS towards users on the delivery time of services is thus very
low. Users also think that IS does not give prompt service (Res2, -1.52).
Another item that users think should be improved is the availability of IS
personnel to respond to their requests (res4,
-1.19). Willingness of IS employees to help users is another item that could be improved. This construct
(Res3)
has a smaller gap of -0.90.
Assurance
The gap
sizes of constructs A1 (users’ confidence to IS personnel behaviour, -1.71) and
A2 (users’ feeling of safety against IS, -1.71) show that users have a
confidence problem in their relations with IS. Users also think that IS
employees do not have enough knowledge to help them (A4, -1.19). In
contradiction to other constructs of assurance, user find IS employees slightly
over friendly (A3, 0.14).
Empathy
User find
operating hours of IS inconvenient (E2, -1.29). Users also think that IS
employees are not able or not willing to understand their specific needs (E5,
-1.95). Users perception of IS keeping user interests at heart is lower then
users’ expectation (E4, -1.24). Items
related to attention given to users by IS (E1, -0.86 and E3, -0.81) are also
valued low, but these gaps are relatively small.
Model B
Questionnaire was sent to a sample of 10, including IS manager, project
managers and senior employees. 9 responses were received, yielding a response
rate of 90%.
Please refer to
the second part of Appendix B, “B- Manager Questionnaire” for a detailed
analysis of the results for this section.
Gap 1 (Difference
between Customer Expectations and Management perceptions of Customer
Expectations) is low at the service quality dimensions level. IS managers, on
the average, know how user
community values IS services. However, careful look at the constructs making up
service quality constructs identifies some gaps (see chart B-1).

IS managers think
that users value tangibility dimension of IS services higher than what users
actually do. However, these differences come from items related to physical
appearances of equipment and staff (T2 and T3). Users and IS managers valuation
of quality of service material (T4) was nearly same. This factor had the
biggest gap 5 score.
One of the Gap 1
findings in the reliability dimension is that managers think that IS meets
deadlines (Rel1) more than what users perceive. IS managers also think that services and systems delivered by IS are less error-free (Rel5) than
what users experience. On the average, managers over-estimate reliability
dimension of IS service delivery.
Managers think
that users think IS is not informing them on the delivery time of services
(Res1) more than what users actually do. On the other hand, IS management
predicts users’ valuation of IS willingness to help them (Res3) lower than what
users actually do. On the average, however,
no gap 1 exists for the response dimension.
Managers think
that users’ perception of assurance dimension is lower than what users actually
perceive. Especially the courtesy/friendliness construct (A3) had a big gap:
Managers think users see IS less friendly than what users actually do.
IS managers think
that users perceive IS working hours to be more convenient to users (E2) than
what users actually perceive. IS managers also think that users value
personalised attention of IS employees higher than what user actually perceive.
IS managers’
answers to B-2 and B-3 question sets (prioritisation of service quality
dimensions) give the same results as user responses (see charts B-2 and A-1).

However, when
asked the question “how users would perceive IS service quality”, IS managers
give a higher score (4.56) than what users actually valued IS service (4.19).
Analysis of Constructs influencing Gap 1
The scores for the constructs
influencing Gap 1 are summarised in chart B-3. Please note that higher scores
for the construct items represent lower gaps. The ideal point for each number
given during gap 1 to gap 4 analysis would be 7. It should also be noted that
scores lower than 4 (mid-point of 7-point Linkert scale) are accepted as bad.
Marketing Research
Orientation (MRO, 3.31) is the most problematic area among the gap 1
constructs. Managers think that they contact users at a low level (MRO4, 4.33).
However, items like collecting user needs’ information (MRO1, 3.33), usage of
user survey information (MRO2, 3.00), and collection of users’ expectation of
service quality (MRO3, 2.56) are extremely low.

Upwards
communication (UC, 4.42) is also a
point that can be improved. All causes of this construct, namely, communication
of IS employees with IS managers (UC1), IS managers interaction with IS
employees to improve service levels (UC2), face-to-face interaction of IS
managers with IS employees (UC3), and formality of communication (UC4) had
similar scores.
Levels of
management (LOM) scores highest (4.56). However, this should be seen as an
important gap.
Gap 2 (Management
Perception - Service Quality Specification Gap) is high since managers’ scores
for both existence of standards (overall average 3.76) and formality of
standards (overall average 3.26) are low. In other words, existing standards
are not formal and are not well specified.
Managers think
that standards exist for reliability and tangibility dimensions, and these
dimensions also have higher levels of formality (see chart B-4). These
standards are project management and time-sheet controls for the reliability,
and equipment standardisation for the tangibility dimensions. The other three
dimensions, response, assurance
and empathy have lower formality levels of standards. IS department seems to be
weak in setting formal standards for these aspects of service delivery.
Analysis of Constructs influencing Gap 2
The scores for the constructs
influencing Gap 2 are summarised in chart B-5.

Management
Commitment to Service Quality (MCSQ) is low (average 3.47). The highest scoring
construct was the existence of internal
programs for improving the quality of service to users (MCSQ1, 4.00). Other
constructs like commitment of necessary resources for service quality (MCSQ2), existence of reward programs promoting service quality improvements (MCSQ3) and emphasis of
software/hardware delivery more than serving users (i.e. service orientation
rather than product orientation, MCSQ4) scored lower than acceptable (scores
are around 3.30 for each of these
constructs).
Managers valued
level of formal goal setting (GS) in the department low. The
two goal setting constructs, setting of formal service quality goals for
employees (GS1), and setting service quality goals for the department (GS2) were
valued low, 3.00 and 4.00 respectively.
Level of task
standardisation in the department, both by usage of technology to achieve
consistency of service quality (TS1, 3.89), and by improvement of operating
procedures to provide consistent service (TS2, 3.56) are low from managers point of view.
Responses to
questions related to perception of feasibility (POF) of service quality
improvement are very interesting; IS managers valued budgetary controls too
restrictive. Fear of overspending IS budget if desired service is given to
users is extremely high (POF2, 2.11).
Belief that department has necessary capabilities to meet user requirements (POF1, 4.33) scored higher than
the existence of operating procedures to provide adequate service (POF3, 3.67).
Model C
Questionnaire was sent out to all 24 employees of IS department. There were 20
responses in total, one being partially complete. Response rate for the IS
employees is 83.33%. Only the
filled part of the partial questionnaire was used.
Please refer to
the third part of Appendix B, “C- Staff Questionnaire” for a detailed analysis
of the results for this section.
Gap 3 (Service
Quality Specification - Service Delivery Gap) is identified by the assessment
of employees’ perception of ability to meet service quality standards for each
of the five dimensions of service quality.
Employees think
that IS is able to meet standards for the tangibility and reliability
dimensions the least (averages of 3.89). The other dimensions scored better;
response (4.84), assurance (4.79) and empathy (4.58). Please also refer to
chart C-1. In other words, employees notice that department does not perform
according to the set standards for the standardised service dimensions. This
observation could not be done by the employees for the less standardised
dimensions, in the from of smaller gaps.

Analysis of Constructs influencing Gap 3
Constructs influencing Gap 3 are
measured by the first 25 items of question set C-3.
Please note that
averages for questions 10, 12, 13, 15, 17, 18, 22, 24 and 25 were inverted to
remove the effects of negated logic.
Questions related
to teamwork (TEAM) returned satisfactory results (please refer to Chart C-2).
Employees valued themselves being clearly linked to a team (TEAM1, 5.25) at a
satisfactory level. All employees of department contributing to a team effort
(TEAM2, 4.35) is surprisingly low; indicating some employees are seeing other
colleagues not effective, or different functions are not visible. Employees’
feeling that they are an important member of the department (TEAM5, 5.10) is at
an acceptable level. Tendency to help colleagues do their jobs well (TEAM3,
6.30) and more co-operation with colleagues than competition (TEAM4, 6.05)
scored at nearly ideal points.
Items related to
Employee-Job fit (EFIT) were interesting; employees feel comfortable at their
jobs (EFIT1) by a score of 5.35, which is good. Ability of the department to
hire qualified people (EFIT2) is valued higher at 5.70.
Technology-Job
(TFIT) fit problems are more serious. Employees think that tools and equipment
used in the department are not adequate to perform their jobs well (TFIT1,
4.95). Employees also think that methodologies and technology used in the
department do not give them confidence for their future career (TFIT2, 4.20).

Employees
perception of control (PC) of their work environment showed the lowest results,
overall average being 4.04. Employees think that they spend a lot of time
to resolve problems they can not control (PC1, 3.30). Employees, on the other
hand, think that they have reasonable level of freedom in performing their jobs
(PC2, 4.75). Employees frustrations of demand peaks (i.e. increasing user
requests, PC3) has a worse score
(4.00) than frustration of dependency on colleagues to serve users (4.10, PC4).
Items related to
emphasis of supervisory control systems (SCS) on service quality showed that
job appraisals included quality of communication with users (SCS1, 5.05) to
some degree, even though servicing users better was not promoted at all by
either more pay / recognition (SCS2, 2.60), or by faster career paths (SCS3,
3.40).
Employees feeling
of role conflict (RC) between productivity control / monitoring, and servicing
users (service orientation) is also high. Employees value amount of paperwork needed for servicing users as acceptable (RC1, 5.25). Other
items related to role conflict scored smaller, hence bigger contributors to gap
3. Emphasis for productivity over service quality was relatively high (RC2,
4.20). Employees role conflict due to differences between managers’ and users’
wishes is high (RC3, 3.80). Employees also showed that they think their jobs
could be performed differently (RC4, 3.90)
Items related to
Role Ambiguity (RA) scored low except the fact that employees think they are
able to cope with the changes in the department (RA3, 5.60). Amount of top-down
information flow was seen inadequate by employees (RA1, 3.95). Employees
also do not know which aspects of their jobs will be stressed most by their
managers (RA5, 3.80). Employees confidence that they are well trained to
interact with users (RA4, 4.35), and their understanding of the services
delivered by the department (RA2, 4.55) are far from the ideal point.
Gap 4 (Difference
between Service Delivery and External Communication) is measured by use of
question set C-2. Employees were asked to evaluate the ability of IS to meet
promises made to the user community (chart C-3).

Employees think
that IS is able to meet promises made to user community better for assurance
and response dimensions than for dimensions of tangibility, reliability and
empathy. These figures are similar to Gap 3 findings (at service quality
dimension level) on employees. In other words, ability to meet standards is
directly related to the ability to keep promises.
Analysis of Constructs influencing Gap 4
The responses are
shown in chart C-4. Level of horizontal communication is unexpectedly low
(overall HC score is 3.93). Employees
think that they interact with each other moderately on how IS services should
be delivered to users (HC3, 4.45). Level of consultation made between those
making promises and employees implementing the promises is unacceptable (HC1,
3.80). Employees also complain
that they are not informed of promises until after the promises are done (HC2,
3.75), and that departmental policies on serving users differ between different
groups/teams (HC4, 3.70).
Employees answers
to propensity to over-promise (PTO, 4.58) shows that the amount of internal
competition is not at a level that can jeopardise service delivery (PTO1,
5.40). However, employees think that other IS service providers are making
unrealistic promises to gain new customers within the organisation (PTO2,
3.75).

Reliability of IS
service delivery, and response issues related, are valued very low by the user
community. IS is not able to deliver on time (lateness) and can not meet
deadlines set by the organisation (under capacity and/or inefficiency). Users
also think that IS service quality is low since it is not right the first time,
and that IS does not show desired level of interest in users’ needs. On the
response dimension of service delivery, users think that IS does not provide
them feedback on service delivery process. Promptness of the service and the
availability of IS resources to respond to user requests is also low.
The most important
service quality gap on the assurance dimension was that users do not feel safe
in their transactions with IS. Lack of confidence and lack of safety feeling
are two important IS service delivery shortcomings.
Users think that
IS does not show enough empathy to them and is not willing to understand their
needs.
The quality of
service and support material is found to be inadequate. Physical appearance of
staff and equipment was acceptable.
However, the
difference between users perception of IS services and IS managers’ predictions
of users’ perception of IS service was surprisingly low. It can be concluded
that IS managers know the service delivery problems. The most important
mismatches here are on IS meeting deadlines (overestimate), IS delivering
error-free software (underestimate), giving feedback to users (overestimate),
willingness to help users (underestimate), and the personalised attention of
employees to the users (overestimate). Usage
of the constructs used to close the service delivery/user perception gap showed
bad results; amount of marketing research on IS service quality and usage of
this information is very low. Despite the size of the IS and its position in
the organisation, upwards communication from employees to IS management and
downwards communication from management to employees scored just above the
mid-point. Tools that can be used to understand user expectations (i.e. input
from users and from IS employees) are not used effectively. High levels of
management indicates that middle level of IS management is not able to
communicate effectively.
Standardisation of
IS services is low and, moreover,
standardised aspects of service are not formalised. Standards exist for tangibility and reliability
dimensions more than response, assurance and empathy dimensions (a
characteristic of technical/production environments). IS needs to set standards
for these soft aspects of service delivery. In general, it can be concluded
that IS management is not able to improve the quality of services by
translating its understanding of service delivery problems into standards and
service level specifications. Commitment to service quality (not only product
quality) by the management and IS employees’ perception of importance given to
service quality by management is low. Moreover, IS management thinks that it is
impossible to improve service quality within the financial controls imposed on
the department.
Employee survey
results showed better results on gap 3. Employees think that IS is not able to
meet the standardised dimensions of service quality (i.e. tangibility and
reliability). These dimensions are better standardised than other three. Higher
valuation of meeting standards for empathy, response and assurance dimensions
could be attributed to the vagueness of these standards.
Employees valued
the level of teamwork and they fitting their jobs quite high. All other
constructs influencing service specification / service delivery gap showed
undesirable results. Employees find the technology used in IS inefficient and
as a barrier for their careers. Tasks are not well defined and this creates
ambiguity on who does what, which in turn creates frustrations of being
dependent on peers. Employees also do not know which aspect of their jobs will
be stressed more by management (i.e. ambiguity). The conflict between servicing
users and productivity is also high. As a conclusion, it can be said that
employees think they are capable and fitting their positions, but the work
environment and methods are not well perceived by them.
The Service
Delivery / External Communication gap is also big. The level of horizontal
communication in the department is low. However, most of the complaints were
related to unpredictable demand which eventually originates from user
community. IS management was also pointing to the unpredictable demand coming
from user community, and this demand was usually occurring in peaks (i.e.
product changes in the summer).
Unrealistic advertising or promises made by third parties seems to be a major contributor to the
communication gap. However, the rise of user expectations as a consequence of
third party communication is seen desirable in order to keep IS function and
users aware of new horizons in information systems solutions and service
delivery.
This research
found out that the delivery of Information services by the Gouden Gids IS
department is problematic. The major findings are:
Users’ perception
of IS service quality is lower than their expectations. Users value IS service
delivery as not reliable. Responsiveness of IS to user service requests is also
valued lower than expected. Users do not trust IS, and moreover, users think
that IS does not show enough empathy towards them.
The quality of documentation is found to be inadequate.
IS management is
aware of low perception of IS services by users. However, IS management does
not employ formal marketing research techniques to gather user feedback.
Vertical communication (upwards and downwards) in the department is not at the
desired level as to help gather user feedback on IS service.
IS Service
delivery is not standardised, and this creates ambiguity amongst IS employees.
Certain standards exist for time management/cost reporting and equipment
acquisition. However, management does not regularly develop standards in order
to improve service quality. Another important finding is that IS management do
not think IS service quality could be improved within the financial constraints
emposed on the department.
Employees are not
able to perform their jobs well due to technology-job fit problems, changing
priorities, unclear objectives,
and tight deadlines. Aspects of team working seem to be adequate.
Communication of
IS service to users is also problematic. Horizontal communication in the
department is lower than desired level.
IS management can
start a service quality improvement programme by implementing the “Process
Model for Continuous Service Quality Improvement model” (see Figure 3- 4)
proposed by Zeithaml, et. al. (1990).
IS can use
marketing research techniques to improve its understanding of user needs. By
such pro-active measures, users will also see IS showing interest in their
needs. Marketing research and usage of its results will help to reduce the gaps
on the empathy and assurance dimensions of service quality. Improvement on the
horizontal and vertical communication is needed for a better service quality.
Response dimension
of service quality could easily be improved by a combination of training and
standards settings on response
issues. Management can easily measure improvements of IS responsiveness via
marketing research techniques. Another problem area is the availability of IS
personnel to respond to user requests during office hours. This could be
improved by adding some resources to the first line support functions such as
help desk.
IS needs to
improve the quality of service and support material, and the quality of
equipment in order to match user expectations on the tangibility dimension.
Since
standardisation is setting specifications for the service delivery process, IS
needs to work hard to close this management perception / service quality
specification gap. IS needs to develop standards for gathering user
requirements, documentation of systems/service specifications and operational
procedures, systems design, development and testing methodologies,
communication with users etc. IT consultancy firms could be asked for help
introduce these standards.
A very important
step that should be realised is to improve communication in the department. IS
management should take appropriate steps to improve vertical communication.
Better downwards communication could be the first step. Creating an open
environment in IS by frequent communication and increased interaction between
functional groups is needed. It is important that employees of department give
feedback on the effectiveness of departmental standards, and ask for
modifications of standards if necessary.
Better planning of
work, introduction of techniques/methodologies and clear communication in the
department will eliminate service specification / service delivery gap. It is
clear that closing this gap (gap 3) is the heart of service quality improvement
process, and that closing gap 2 (management perception / service quality
specifications) is a prerequisite for it.
Zeithaml,
Parasuraman, and Berry (1990) propose two service improvement roles within a
service organisations for the improvement effort to succeed. They propose to
have a “Service Defender” and a “Service Champion”. Service Defender will
protect the change process by eliminating the resistance and giving credibility
to the improvement process. Service Champions are those people who actually
plan and steer the change process. Sometimes the defender and champion could be
the same person.
Considering the
organisational structure of Gouden Gids IS, it is proposed that Operations
Director plays the role of service defender, and IS manager takes
responsibility for service championship.
Cost-based
performance indicators are not always going hand-in-hand with service quality. Quality
of services delivered by IS should somehow be made one of the performance
indicators for IS. A quarterly user satisfaction survey could then be used to
monitor quality of IS services and the (comparative) results could be used as
an IS performance indicator.
Consistent with
some other SERVQUAL studies mentioned by Zeithaml, Parasuraman, and Berry
(1990), this study shows IS
service reliability as the most important factor among the SERVQUAL dimensions
in determining overall user satisfaction. This means that IS performs the
service right the first time and honours its premises. In the highly
competitive environment (not only IS, but also the business environment in
general) IS management and personnel may feel pressured to over-promise IS
deliverables. However, as Zeithaml, Parasuraman and Berry (1990) state, when
service providers make careless mistakes and when things are not done on time,
customers quickly lose confidence in the service provider. To prevent this
occurrence, they suggest identifying potential fail points by using periodic
customer survey, by soliciting input from employees performing the service, and
by studying customer complaints. Corrective actions could be taken based on
this information.
Based on the
findings of this study, the hypothesis that, a services marketing based service
quality measurement could successfully be applied to IS departments, is valid
in the case of Gouden Gids. All
involved parties (survey respondents) agreed with the results.
SERVQUAL
instrument identified certain aspects of IS service delivery process that were
not to be identified by the current performance measures. The communication
within IS and with user community is poor, changing user needs are not
identified by IS management in time, IS management is not always able to eliminate
service quality problems by translating them into standards that could both be
progressively measured and be guidelines for IS employees. Hence,
the second hypothesis of this paper that, application of a service quality
measurement instrument could detect problems with the soft aspects of service
delivery better, is also proven. SERVQUAL helped identifying these problems
together with their causes.
The application of
SERVQUAL in the IS department of the
case company revealed some aspects that were not considered by IS management
during day-to-day activities. In the operational environments there is usually
no time for managers to concentrate on the internal problems as part of their
daily work. Internal IS problems get attention when service delivery becomes
very poor, and in these cases, the action is not likely to be taken by IS
management. Application of SERVQUAL measure can help service managers identify
problems associated with their servicing organisation, in addition to the
gathering customer feedback on service quality.
SERVQUAL was found
to be simple and practical to implement in the case company. It is very easy to
modify the questionnaires to any service environment. Researchers do not need
to know the organisational and technical details of service organisation.
Questions do not include any technical jargon, and are easily answered by both
users and IS personnel. This measure can easily be used for other departments
of the case company (e.g. facility management -customers being company
personnel, customer services - customers being advertisers of Gouden Gids).
This research could also easily be repeated for IS departments of other country
units such as Belgium and Portugal. With some additional changes, SERVQUAL
could be applied to the services of ITT Publitec. In this case, service
customer group will be both service users and IS departments of operational
units.
During this study,
an extensive literature survey was done on services and IS service
environments. A services marketing approach was implemented to the services of
the internal IS department of Gouden Gids organisation. The case IS department
did not have any formal service quality measurements before this study.
SERVQUAL service quality measurement technique was used for the research.
A clear view of
the evaluation of IS services by the users was obtained. The constructs
influencing service quality and service delivery problems were identified by
literature search. The influence of these constructs on Gouden Gids IS
environment were identified by use of SERVQUAL.
SERVQUAL was found
to be a sound research technique that can be used by managers to identify
service delivery problems and their causes within IS departments. The strength
of this technique is that it helps managers identify both service delivery
problems, and their causes. IS users, IS managers and IS employees give their
feedback on IS environment, and these results are compared to find problem
areas.
SERVQUAL
identifies a service delivery gap, the other four internal gaps that identify
the causes of service delivery gap. It is worth mentioning that even if service
quality gap is small, the other gaps may be big. When service quality gap (gap
5) is small, gap 1 (difference between customer expectations and management
perception of customer expectations) will be small. However, the other three
internal gaps (difference between management perception and service quality
specification, difference between service quality specification and service
delivery, and, difference between service delivery and external communication)
may still be big. Although research in services marketing is more focused on
the customer side, analysis of these
internal gap could provide useful hints to service managers to improve the performance and coherence of
their service organisation. For example, technological changes in
an industry like IT are so immense that, even if service users evaluate the
quality of equipment/service as adequate, IS employees may have a low
perception of their operational environment.
Although different
user profiles within Gouden Gids are already known by IS (e.g. desktop users,
users of main operational system, etc.), this research did not distinguish
between different user profiles. In order to investigate the specific needs of
different user profiles, first there should be an overall understanding of IS
service quality. This study measured the overall service quality for Gouden
Gids IS department.
Later, a clustered SERVQUAL survey could be done for these specific user profiles to find out their specific
needs.
Another aspect of
IS service life cycle is that it can be broken down into four major phases:
requirements, acquisitions, stewardship, and retirement. It is highly likely
that users’ expectations will be different at each of these phases. For
example, empathy might be the major need during requirements, and reliability
during stewardship. This might be a possible future research. Another future
research subject could be the application of SERVQUAL to the services delivered
by each functional group within IS (i.e. development pool, help-desk, etc.)
Although this
research investigated the service quality in the Information Services of Gouden
Gids, it may not be generalised for all internal IS departments, or to IT
service providers. As already mentioned (section 2.2) the services delivered by
IS departments and the organisational settings of IS departments may differ a
lot. For example, IS may be simply
a support function in one organisation, and still be the most crucial
department in a company dealing with information. More research is needed in
order to reach industry wide conclusions and generalisations.
Another future
research that may reveal valuable information is to group users according to
their satisfaction levels. Each segment could then be analysed based on the
each dimension of SERVQUAL, namely physical appearance, etc. These results will
help to better understand what needs to be done in each dimension of IS service
quality for each IS customer segment, and moreover, provide valuable feedback
toward building an overall service strategy to improve organisational IS
effectiveness.
SERVQUAL can be
used by managers to allocate scarce resources more effectively. This can be
achieved by asking users to allocate relative dimension importance on a
constant sum scale (e.g. 100 points). Zeithaml et al. (1990) recommend this
approach, which results in a “weighted gap score” by dimension and in total.
The score for each dimension is multiplied by its weight and then each new
score is divided by the sum of the weighted scores. Then the importance of
reliability and response dimensions (in our case, at least) will be even more,
compared to other service quality dimensions.
In addition, not
each dimension of service quality, and even not each construct of any service
quality dimension may be equally important on a 7 point scale. If the resources
for the improvement program are scarce, users could be asked to prioritise
these constructs. Management can then concentrate on improvement of these most
critical fail-points.
A final caution
should be mentioned here that different applications of SERVQUAL like
instruments in different service organisations in different cultural settings
may show variations depending on cultural factors. No research, in the literature survey done for this study, covered the affects of culture on the
implementations of SERVQUAL. Service is carried out by individuals, and,
individual behaviour is influenced by the culture.
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