Over
the past few decades there has been a perceptible continual progression of the
service sector around the globe. Consequently, service industries are playing
an increasingly important role in the economy of many nations (Abdullah, 2006a) . In a world where
the service sector is becoming the driving force of the economy, quality of the
service has become paramount important for the service based organizations to
cope with the intense rivalry. Unlike the quality of the product the assessing
the service quality is a complex phenomenon due to the salient attributes of
the service. Since 1970 service industry has been widely researched agenda drawing
much of the researchers’ attention to the service quality models (Pena, et al., 2013) .
However,
until recent past the education service has not attracted much attention in the
service quality research forum. With the education liberalization and
international student mobility, education service industry becoming a major
contributor to most of the economies. Nowadays, higher education is being
driven towards commercial competition imposed by economic forces resulting from
the development of global education markets and the reduction of government
funds that forces tertiary institutions to seek other financial sources (Abdullah,
2006a) .
In the current information era, where the countries are moving towards a
knowledge based economies, education service plays a vital role and it is ever
growing.
According
to UNESCO Institute for Statistics, global tertiary enrolments reached 170
million in 2009 and as per European Statistics 2015, in European Union alone
there are 19.5 million student population in the tertiary education. As per UNESCO
Institute for Statistics, 60 per cent of total international tertiary students
is concentrated in the US, UK, Australia, France, Germany, Russia, Japan and
Canada. It was projected that Australia will report the highest growth in the
inbound international student mobility. Further Australia is forecast to lead
the way with growth of inbound mobile students from the more than 50
shortlisted countries, followed by the UK, US and Canada (Beall, 2012) .
With the growing demand and the expansion in the higher education industry in
Australia, the quality of the service provided by the higher education
institutes play a major role in continuing the growth momentum and to remain a major contribute to the
development of the Australian economy.
Australian Higher Education
Sector
The
service sector total employment counts to eighty percent across all sectors and
tertiary education is the standard for forty per cent of people in the total
labour force (The Australian Trade and Investment Commission, 2017) . Not only the local
labour market created demand for the higher education in Australia, the
international students crossing borders for higher education attracted to the
country for higher education. As per The Australian Trade and Investment
Commission statistics Australia is the third most popular destination for the
students and according to The Academic Ranking of World Universities Australia
has become the sixth highest ranked country in the ranking of the world’s top
200 universities in the year 2017. The global presence of Australian higher
education sector has created intense competition within the country and outside
its borders as well.
Based
on Australian government statistics in 2014 there are 1.3 million students
enrolled in 43 accredited universities, colleges and Technical And Further
Education (TAFE)s. During the recent past there has been a change in the sector
with the changes made to the public policies. Some of the noteworthy changes
such as the transformation of colleges and advance technology in to
universities; opening of the domestic market to international students;
government grants cut downs; and full fee paying domestic students have led to
a greater competition whining the industry and more customer orientation.
Alongside the rivalry intense competition, the quality of the service provided
by higher education institutes became important not only to satisfy the
customers (i.e., students and potential employers) but also the regulatory and
quality assurance agencies. ‘Considerable
efforts are expended within Australian universities on improving service
delivery to their students as a means of enhancing performance’ (Brown, 2006,
p. 3). Over the past couple of years there has been numerous changes to the
delivery of lectures to cater to the diverse needs of the students.
On
campus study mode is the most popular mode of study among others being offshore
distance learning, online learning and blended learning. However, foreign
partnerships have recently given more opportunities for the sector to the tap
the students who do not wish to cross boarders for learning. There are nearly one
fourth of all Australian university campuses are located outside Australia (Beall, 2012) . Now the students
have much more study options than ever before as the boundaries are lifted and
this will continue to evolve and gives greater opportunities for the students.
This in this dynamic higher education sector the higher education institutes strives
to strike a balance between the service quality and price.
Service Quality
Until
1970s service marketing did not transpire as a separate agenda in the research
forum. However, from 1980s service quality has gained its momentum in the
research agenda (Khodayari, 2011) and been viewed as a key driver in
competitive advantage which could generate repeat sales, positive word-of-mouth
feedback, customer loyalty and competitive product differentiation, thus,
service quality has been linked with enhanced profitability (Abdullah, 2006a) . Unlike products,
services in nature are more complex concept due to its attributes of
intangibility, inseparability and subjectivity. Thus the elusive nature of
service quality construct, rendering it extremely difficult to define and
measure (Abdullah, 2006a) .
The
most important aspect of service quality is that from whose point of view the
quality should be measured. There are many areas of disagreement in the debate
over how to measure service quality, and recent research has raised many
questions over the principles on which the existing instruments are founded (Abdullah, 2006a; Abdullah, 2006b). In most of
the instances the customer has been targeted as the principal agent of
assessing the service quality. Undoubtable, satisfy the customer, the service
provider should be able to match customers’ desired outcome. Further it should
be noted that satisfaction do not coincide with the service quality rather the
quality is an antecedent to satisfaction (Cronin & Taylor, 1992) . Dated back to 1984,
Gronroos was one of the first researchers who studied service quality
exclusively, where he viewed service quality is comprised of two dimensions:
technical quality and functional quality (Çerri,
2012) .
On the other hand Lewis and Booms (1983) service quality is a measure of how
well the service level delivered matches customers’ expectations. Much of the
literature is aimed at perceiving service quality in the customers’ standpoint.
There
has been number of attempts to measure the service quality despite its complex
and ambiguity nature. In the last decade, the emergence of diverse instruments
of measurement such as SERVQUAL (Parasuraman et al., 1988), SERVPERF (Cronin
and Taylor, 1992) and evaluated performance (EP) (Teas, 1993a, b) has
contributed enormously to the development in the study of service quality (Abdullah,
2006a) .
In this quest in mid and late 1980s Parasuraman et al were one of the
pioneering academics to measure the service quality as a difference between the
expectation and performance. They initially devised a multi-faceted scale of
measurement that comprises ten dimensions namely, reliability, responsiveness,
competence, access, courtesy, communication, credibility, security,
understanding/knowing the customer, and tangibles. In a subsequent effort, in
1988 they developed an instrument termed SERVQUAL by reducing these ten
dimensions to five which includes Tangibles, Reliability, Responsiveness,
Assurance, Empathy.
The
below table summerises the service quality models developed and the industries
that could be applied to;
Table 1.1 Scales developed to measure service
quality
Author(year)
|
Scale Developed
|
Industry
|
Parasuraman
et al (1988)
Knutson
et al (1991)
Cronin
and Taylor (1992)
Getty
and Thompson (1994)
Dabholkar
et al. (1996)
Evangelos
Christou and Athina Nella (1999)
Donald
J. Shemwell and Ugur Yavas (1999)
Parasuraman,
Zeithaml and Malhotra ( 2005)
(Firdaus,
2006a)
Evangelos
Tsoukatos, Evmorfia Mastrojianni (2010)
|
SERVQUAL
LODGSERV
SERPERF
LODGQUAL
RSQS
Retail
SQ
WINE
SQ
Hospitals
ES-QUAL
HEdPERF
BANQUAL-R
metric
|
General
Hospitality
General
Hospitality
Retail
Wineries
Hospitals
Online
shopping
Higher
Education
Banking
|
Source
- (Randheer, 2015, p. 29)
SERVQUAL
Parasuraman
SERVQUAL model adopted the notion that the perceived service quality (Q) which
transpires from the comparison of expected quality (E) where the customer’s
anticipated quality prior to the service being consumed, with the perceived (P)
service quality which is realised during
the service consumption. If service expectations are confirmed during
consumption, i.e. the service performance is up to what was anticipated, the
quality of service is considered positive and vice versa (Çerri, 2012) . Consequently, the
SERVQUAL model has 2 separate sets of statements addressing the expectation and
perception and could be denoted as; service quality Q = P – E.
The most famous tried and tested service quality
measurement model across different industries is the SERVQUAL. The below table
illustrates the studies carried out in different industry settings using the
SERVQUAL model.
Table
1.2 Studies on service quality using SERVQUAL model
Service
Industry
|
Author(s)/year
|
Auto repair
|
Bouman and Van der Wiele, 1992
|
Banking
|
Angur et al., 1999; Avkiran, 1999, Lassar et al.,
2000; Newman, 2001
|
Education
|
Kwan and Ng, 1999; Oldfield and Baron, 2000;
Shekarchizadeh et al., 2011
|
Healthcare
|
Andaleeb, 1998; Babakus and Mangold, 1992; Wong,
2002
|
Professional services
|
Hoxley, 2000; Philip and Hazlett, 2001
|
Public services
|
Carman, 1990; Brysland and Curry, 2001; Donelly et
al., 2006; Wisniewski, 2001
|
Retailing
|
Finn and Lamb, 1991; Mehta et al., 2000
|
Telecommunication
|
Lai et al., 2007; Van der Wal et al., 2002
|
Transportation and shipping
|
Frost and Kumar, 2001; Sultan and Merlin, 2000
|
Source
- (Çerri, 2012, p. 666)
Despite
the popularity of SERVQUAL model, a number of criticisms was directed at
SERVQUAL, aimed at both the conceptual and the operational level (Abdullah,
2006b) .
Most notable criticism is that SERVQUAL scale is based on the satisfaction
paradigm rather than an attitude model (Abdullah,
2006a; Abdullah, 2006b; Cronin and Taylor, 1992). Cronin and Taylor
(1992) suggest that the SERVQUAL approach do not adequately conceptualise and
operationalise the service quality as it disregards the quality as an attitude
and developed a model called SERVPERF, incorporating performance. They further
argued SERVQUAL scale is measuring neither service quality nor consumer
satisfaction as it is a disconfirmation-based model.
There
seems to be a broad consensus that service quality is an attitude of overall
judgement about service superiority, although the exact nature of this attitude
is still hazy (Abdullah, 2006a; Abdullah, 2006b).
Whilst its impact in the service quality domain is undeniable, SERVPERF being a
generic measure of service quality may not be a totally adequate instrument by
which to assess the perceived quality in higher education (Abdullah, 2006a) . Thus it gives rise to a need for
developing a model for the education industry.
Service Quality in Higher
Education
Crosby
(1979) defined the quality in education as conformance of education output to
planned goals, specifications and requirements’. Given the attributes of
education industry the service rendered by a higher education is quite complex
due to the length of the process and variety of variables affecting it (Çerri, 2012) than the other
industries such as bank, restaurant or telephone users. SERVQUAL model
continued to be a ground breaking approach for the measure of service quality
across multiple industries including the higher education (Karavasilis, et al., 2016) although it
attracted much criticism. The ten dimensional SERVQUAL approach is initially
attractive and seems to fit well with the requirements of an investigation into
the quality of students’ experience in higher education, however the study
suggested that the five dimensional SERVQUAL approach failed to measure the
service quality in higher education (Sultan & Tarafder, 2007) . As claimed by (Khodayari, 2011) the much of the
studies in higher education service quality have focused on students’ view of
quality, while little attention has been paid on the perspective of academic
and administration staff.
Abdullah (2006) proposed a Higher Education Performance measurement
called HEdPERF which mostly focuses on the administrative parts of the
university and comparatively fewer emphasis on acdemic aspects (Sultan
& Tarafder, 2007) .
In a study of comparing the suitability of a service
quality measurement model using SERVPERF, modified SERVPERF and HEdPERF Abdullah (2006a) suggested that HEdPERF method
resulted in more reliable estimations, (Karavasilis, et al., 2016) , greater criterion
and construct validity, greater explained variance, and consequently better fit
than the other two instruments namely SERVPERF and HEdPERF-SERVPERF.
With
the change of the delivery mode of higher education programs, there has been a
greater trend towards switching from on campus studies to online study modes. The
distance-learning students also tend to differ from campus-based students in a
number of demographic characteristics, in particularly the age (Richardson, 2005) . Unlike the on
campus study mode the distance learning study gives rise to challenges to the
higher education institutes due to ‘transactional distance’. In fact, most
distance learning institutions use various kinds of personal support, such as
face-to-face tutorials, residential schools and teleconferencing, to try to
bridge the gap (Richardson, 2005) . Thus, the perception of the quality of
the service of distance learning students could be substantially different from
on campus students.
Although
a few of the studies focus on the distance education quality, they are not
comprehensive in terms of proper item selection and model specification (Sultan & Tarafder, 2007) . There has been
number of studies conducted in Australia in relation to the service quality of
higher education (Ong & Nankervis, 2012;
Brown, 2006; Athiyaman, 1997). However, there has been a vacuum in the
extant literature relating to the service quality measure of online courses
offered by higher education institutes, especially in Australia.
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