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This paper contributes to the service quality literature by applying the service performance (SERVPERF) model in an under-researched Zambian universities context. Therefore, it examines the influence of each service quality dimension on overall service satisfaction and behavioural intentions in terms of loyalty and positive word of mouth. Based on a quantitative correlational design, primary data were collected from 656 senior final year undergraduate students at one public university. The findings indicate that service quality performance dimensions (tangibility, reliability, responsiveness, empathy and assurance) are each significantly positively related to overall customer satisfaction which in turn affects behavioural intentions. For scholars, administrations and policy makers, the study shows that the service performance model is a valid and useful framework for assessing and monitoring how students form their service quality perceptions and behavioural intentions. This paper is the first to extend the service performance model of service quality into the under-researched developing country context of higher education in Zambia.
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Creative Education, 2017, 8, 1044-1068
http://www.scirp.org/journal/ce
ISSN Online: 2151-4771
ISSN Print: 2151-4755
DOI: 10.4236/ce.2017.87076 June 8, 2017
Higher Education Quality and Student
Satisfaction Nexus: Evidence from Zambia
Bruce Mwiya, Justice Bwalya, Beenzu Siachinji, Shem Sikombe, Hillary Chanda, Moffat Chawala
School of Business, Copperbelt University, Kitwe, Zambia
Abstract
This paper
contributes to the service quality literature by applying the service
performance (SERVPERF) model in an under-researched Zambian univers
i-
ties context. Therefore, it examines the influence of each service quality d
i-
mension on overall service satisfaction a
nd behavioural intentions in terms of
loyalty and positive word of mouth. Based on a quantitative correlational d
e-
sign, primary data were collected from 656 senior final year undergraduate
students at one public university. The findings indicate that servi
ce quality
performance dimensions (tangibility, reliability, responsiveness, empathy and
assurance) are each significantly positively related to overall customer sati
s-
faction which in turn affects behavioural intentions. For scholars, administr
a-
tions and p
olicy makers, the study shows that the service performance model
is a valid and useful framework for assessing and monitoring how students
form their service quality perceptions and behavioural intentions. This paper
is the first to extend the service perf
ormance model of service quality into the
under researched developing country context of higher education in Zambia.
Keywords
Service Quality, University, Customer Satisfaction, Zambia
1. Introduction
In the 21st century, the purpose of universities is threefold: Knowledge creation,
utilising and sharing (van Schalkwyk & Steenkamp, 2014; Umashankar & Dutta,
2007). In education, students are customers who come in contact with universi-
ties at a fee for the purpose of acquiring knowledge and skills (Abili, Thani,
Mokhtarian, & Rashidi, 2011; Doherty, 2008). All this is undertaken in order to
equip, enrich and extend human understanding for social and economic devel-
opment. Therefore, to enhance national competitiveness, university education
should be the leading system for preparing and equipping the workers to be-
How to cite this paper:
Mwiya, B.,
Bwalya,
J
., Siachinji, B., Sikombe, S., Chanda, H., &
Chawala
, M. (2017). Higher Education Qual-
ity and Student Satisfaction Nexus: Ev
i-
dence from Zambia
.
Creative Education, 8
,
1044
-1068.
https://doi.org/10.4236/ce.2017.87076
Received:
April 14, 2017
Accepted:
June 5, 2017
Published:
June 8, 2017
Copyright © 201
7 by authors and
Scientific
Research Publishing Inc.
This work is licensed under the Creative
Commons Attribution International
License (CC BY
4.0).
http://creativecommons.org/licenses/by/4.0/
Open Access
B. Mwiya et al.
1045
come highly skilled, creative, innovative and professional. Therefore, an evalua-
tion of education service quality becomes important.
The higher education sector in Zambia is divided into two subsectors: the
universities subsector and the subsector in relation to colleges and trade insti-
tutes. The Higher Education Authority (HEA) is a government institution estab-
lished under an Act of parliament No. 4 of 2013. The purpose of the HEA is to
register and regulate universities in order to ensure quality of delivery of servic-
es. The HEA is expected to provide this oversight by offering quality assurance,
regulatory and advisory services. However, besides registering new universities,
the HEA is yet to begin executing the other responsibilities related to service
quality. Since political independence from the British in 1964 to the year 2000,
the country only had 2 public universities. However, from the year 2000 to 2017,
the number of public universities has increased to 6 while the number of private
universities has grown from 0 to 55 (Higher Education Authority, 2017). This
entails that competition in the subsector has grown but mechanisms to assess
and monitor service quality are yet to be devised let alone implemented. This
necessitates baseline studies on the quality of higher education services from the
perspectives of various stakeholders.
Universities require information and feedback on the quality of academic and
administrative services they provide. This would enable them to set priorities for
resource allocation, strengthen competitive capabilities for marketing and pro-
motion purposes and seek differentiation from competitors (Cardona & Bravo,
2012; Lam, Fong, Lauder, & Lam, 2002). The quality of university education is
fundamental to a country’s development because university prepares the profes-
sionals who should be effective and efficient managers as well as technocrats in
private and public firms to meet the various current and future needs of society
(Pereira, Oliveira, Tinoca, Amante et al., 2009). Thus, universities need to keep
in perspective the ultimate needs and interests of students, employers, alumni,
parents, sponsors and government, inter alia (Rózsa, 2013). Students are consi-
dered to be the most important stakeholder of educational quality. This is be-
cause it affects them directly both in the short and long term. In fact, scholars
indicate that satisfaction of other stakeholders such as parents, employers,
sponsors and regulators is dependent on the satisfaction of students (Ahmed,
Nawaz, Ahmad et al., 2010).
Globally, there is a small but growing body of literature on service quality in
higher education. Prior studies exploring service quality in higher education in
Colombia (Cardona & Bravo, 2012), Jordan (Twaissi & Al-Kilani, 2015), Petruz-
zellis, DUggento & Romanazzi (2006) in Italy and Portugal (Brochado, 2009),
suggest that customer satisfaction can be explained by perceived service quality.
However, besides Helgesen and Nesset (2007) in Norway as well as Brown &
Mazzarol (2009) in Australia and Ali et al. (2016) in Malaysia who explore the
link between student satisfaction and loyalty, there is a shortage of studies link-
ing service quality, student satisfaction and behavioural intentions of loyalty and
positive word of mouth. The implication is that, to maintain relevance and as-
B. Mwiya et al.
1046
sure their own survival, universities, whether in developed or developing coun-
tries, should deliberately put in place mechanisms to assess, monitor and im-
prove appropriate elements of service quality. Unfortunately, African countries
are under-researched in terms of university service quality and this limits gene-
ralisability of prior research conclusions. In fact, literature with a Zambian con-
text is non-existent. Reproducibility and replicability are at the heart of science
and critical to the development of knowledge in any scientific field (Evan-
schitzky et al., 2007). The Academy of Management Journal (AMJ), globally the
top most journal in business and management research, indicates that replica-
tion research is important for enhanced confidence in existing knowledge even
for seemingly well understood relationships. This is especially so if a) internal or
external validity issues are not yet settled for whatever reasons (e.g. limited con-
texts of prior research) and b) there is an empirically established relationship
that should serve as a basis for broad theorising in a field or that has compa-
ny-wide or public policy implications (Eden, 2002; Miller & Bamberger, 2016: p.
314).
Zambia is a lower middle-income country with per capital income at US$,
1490 (World Bank, 2017). The country has a collectivist culture where people
regard themselves as “we” rather than “I”, thus individuals feel responsible for
the well-being of others including the organisations they belong to or study in
(Mwiya, 2014; Hofstede, 2017). In addition, culturally, Zambia has high power
distance and low masculinity scores (Hofstede, 2017) and so individuals are ex-
pected not only to respect and not question authority but also to be seen to be
supportive of others. This may have an influence on how individuals evaluate
service quality elements. Therefore, it would be insightful for scholars, practi-
tioners and policy to explore if prior research findings can hold in such a differ-
ent context.
The consequences of lack of research in the Zambian context are that stake-
holders have no context specific evidence of the applicability of frameworks in
extant literature to assess quality, develop strategies and set resource allocation
priorities to improve quality. The lack of context specific research evidence en-
tails that universities have inadequate information on their capabilities and areas
requiring improvement in order to meet/exceed the expectations of stakehold-
ers. Moreover, while the three public and prominent universities still have larger
market share, competition is increasing due to a proliferation of private and
public universities in Zambia from 2 in 1990 to 61 in 2016 (Ministry of Educa-
tion Report, 2016; Higher Education Authority, 2017).
Therefore, the aim of this study is to assess the applicability of the service
quality model (SERVPERF) in the under-researched Zambian universities con-
text and to examine the effect of perceived service quality on student satisfaction
and behavioural intentions. The rest of the paper is structured as follows: firstly,
extant literature is reviewed and hypotheses developed; secondly, the methods
and measurement model are described before reporting and discussing the
findings of the study. Lastly, conclusions, limitations and directions for future
research are highlighted.
B. Mwiya et al.
1047
2. Literature Review and Hypotheses
2.1. Service Quality and Customer Satisfaction in
Higher Education
The Concept of Quality in Higher Education
The concept of quality applied to goods is not extendable to the services sector
(Parasuraman, Zeithaml, & Berry, 1985). This is because while goods have phys-
ical cues for inferring quality, quality in services is underpinned by “experience”
and “credence” factors. In addition, because services are performance-oriented,
intangible, heterogeneous and inseparable, it is challenging to measure quality
(Abili, Thani, & Afarinandehbin, 2012). Furthermore, it is also not easy to pro-
vide the same quality to all customers all the time. Scholars indicate that service
quality is the single most essential competence for survival, sustainability and
growth, even for higher education institutions (van Schalkwyk & Steenkamp,
2014). Scholars also indicate that it is becoming more difficult to attract stu-
dents, since the new generation of students has more influence, greater aware-
ness as consumers, becoming more interactive and selective about the future
(Zafiropoulos & Vrana, 2008).
Generally, service quality is the overall assessment of a service by either a cus-
tomer or any other stakeholder; does the service meet/exceed expectations i.e. is
it fit for purpose (Eshghi, Roy, & Ganguli, 2008). It is a judgement or attitude
relating to the overall excellence or superiority of a service (Khodayari & Kho-
dayari, 2011). Simply put, perceived service quality is an overall evaluation of the
goodness or badness of a service (Twaissi & Al-Kilani, 2015). Providing high
service quality helps not only to retain the existing customers but also to attract
new ones as a consequence of positive recommendations to other stakeholders
e.g. prospective students, employers, guardians, sponsors and regulators (Ladha-
ri, 2009; Negi, 2009). This entails that universities operating in a competitive en-
vironment have to consider how to deliver high quality service to meet the needs
of stakeholders (DeShields Jr., Kara, & Kaynak, 2005). Institution-wide student
feedback about the quality of their total educational experience is an area of grow-
ing activity in universities globally (Cardona & Bravo, 2012; Zineldin, 2007).
Service Quality Frameworks in Higher Education
Generally, there is a preponderance of literature on service quality in relation
to different service industries and sectors. Regarding the proper definition of
service quality and how it should be measured, there has been debate among re-
searchers. For instance, research shows that there is no consensus on the defini-
tion of “service quality” in higher education institutions which by extension has
raised controversy in measurement methodologies (Doherty, 2008; Brochado,
2009). Therefore, a number of service quality frameworks are being employed to
assess service quality.
To assess service quality in universities, some studies have used SERVQUAL
(Service Quality) model developed by Parasuraman et al. (1988). According to
the authors, service quality can be measured by focusing on five key dimensions
namely, reliability, assurance, tangibility, empathy and responsiveness (Parasu-
B. Mwiya et al.
1048
raman, Zeithaml, & Berry, 1988). Service quality level is thus determined by
comparing customer perceptions with expectations. While customer perceptions
are subjective evaluations of actual service experience, expectations are reference
points against which actual service is judged (Brochado, 2009; Zeithaml, Bitner,
& Gremler, 2006). Despite its popular application, the SERVQUAL has been cri-
ticised by some scholars for its shortcomings at both conceptual and operational
levels (Buttle, 1996). To overcome the shortcomings, the SERVPERF (Service
Performance) model was developed. SERVPERF is a variant of the SERVQUAL
model that adopts a performance based approach to measuring service quality
by focusing only on the perceptions component (Brochado, 2009; Cronin Jr. &
Taylor, 1994).
More recently, some other frameworks have been proposed in a quest to im-
prove accuracy in assessing university service quality. Icli and Anil (2014) pro-
posed a new scale, called HEDQUAL, for measuring service quality in higher
education institutions. This model has only been assessed in Master of Business
Administration (MBA) programmes. The scale focuses on five key dimensions
namely, academic quality, administrative service quality, library service quality,
quality of providing career opportunities and supporting services (Icli & Anil,
2014). Other studies have employed the HEdPERF model which is a 41-item
scale focusing not only on academic aspects but also the service environment
(Abdullah, 2006; Brochado, 2009; Ali et al., 2016). The authors conceptualise
academic quality as comprising five dimensions namely, non-academic aspects,
academic aspects, reputation of learning institution, access and programme issues.
Last but not least, Zineldin (2007) proposed a framework, called 5Q. This
comprises five key dimensions namely, quality of object, quality of process,
quality of infrastructure, quality of interaction and communication, as well as
quality of atmosphere (Zineldin, 2007; Zineldin, Akdag, & Vasicheva, 2011).
According to the author, quality of object implies the education services or the
reason students are studying while quality of process refers to how the object is
delivered. Whereas quality of infrastructure focuses on the basic resources
needed to deliver educational services, the quality of interaction and communi-
cation measures the relationships between the institution and the students as
well as how these are managed. Lastly, quality of atmosphere refers to trust, se-
curity and competitive positioning reflecting the institution.
Despite the lack of consensus in measurement methodologies for service qual-
ity in higher education, the SERVQUAL framework has been widely recognised
and applied to assess quality from the students’ perspective (Abili, Thani, & Afa-
rinandehbin, 2012; Saadati, 2012; Seymour, 1992; Twaissi & Al-Kilani, 2015).
However, comparing the two most popular models, i.e. SERVQUAL and
SERVPERF, research has empirically tested and proven the latter to be a better
measure of service quality (Adil, Akhtar, & Khan, 2013; Brochado, 2009; Cronin
Jr. & Taylor, 1992; Dabholkar, Shepherd, & Thorpe, 2000). In addition, Dabhol-
kar et al. (2000) posit that the SERVPERF model is appropriate if the objective is
to determine causal relationships for service quality dimensions. Based on these
B. Mwiya et al.
1049
reasons, the present research employed the SERVPERF model to assess quality
in higher education.
Customer Satisfaction in Higher Education
Customer satisfaction has been defined as the experience that a customer has
with a service encounter in reference to what was expected (Oliver, 1980; Zei-
thaml, Bitner, & Gremler, 2009; Zeithaml et al., 2006). It is outcome related
whereby the customer com-pares what they had before and after experiencing a
product or service (Aydin, Ozer, & Rasil, 2005; Oliver, 1999). In simple terms, it
is the feeling associated with the out-come that is equal or beyond what was ex-
pected. Satisfaction is thus based on the ability of a service provider to meet or
surpass the expectations of a customer (Khan & Matlay, 2009; Rezaei, Rezaei,
Alipour, & Salehi, 2011). Marketing literature indicates that satisfaction operates
at two levels namely; transaction-specific and overall i.e. general (Yi, 1991).
Transaction specific satisfaction is related to each and every encounter with a
product while Overall satisfaction is the cumulative sum of all the previous sa-
tisfactions (Johnson & Fornell, 1991; Jones & Suh, 2000; Rezaei et al., 2011).
With respect to higher education, García-Aracil (2009) argue that there is no
gener-ally accepted definition of customer satisfaction (García-Aracil, 2009).
Nevertheless, there seems to be a consensus as regards conceptualising the stu-
dent as the main customer of higher education institutions towards whom ser-
vice performances are centred (Senthilkumar & Arulraj, 2011; Yunus, Ishak, &
Razak, 2010). Indeed, this why in reference to universities some studies employ
the phrase “student satisfaction” as opposed to “customer satisfaction” (Cardona
& Bravo, 2012; Farahmandian, Minavand, & Afshardost, 2013; de Jager & Gba-
damosi, 2013; Sumaedi, Bakti, & Metasari, 2011; Yunus et al., 2010). Stu-dents’
satisfaction reflects outcome related experiences with university services in
comparison to preconsumption expectations. Likewise, the totality of satisfac-
tions with specific service encounters leads to overall students’ satisfaction. Stu-
dent satisfaction is deemed as an important construct for understanding beha-
vioural intentions or outcomes at the individual student level. It is also essential
for considering strategies that may be used to attract and retain students for fu-
ture programmes at an organisational level (Negricea, Edu, & Avram, 2014).
In relation to measurement approaches, customer satisfaction models have
focused on the service quality gap (Parasuraman, Zeithaml, & Berry, 1994)
which com-pares expectations to actual service delivered (Oliver, 1980; Rezaei et
al., 2011). On the other hand, some studies have used use a single item measure
to assess overall customer satisfaction (Aydin et al., 2005; Caruana, Money, &
Berthon, 2000; Ismail, Harson, Ibrahim, & Isa, 2006; de Jager & Gbadamosi,
2010; Theodorakis, Kambitsis, & Laios, 2001). In this study, student satisfaction
is evaluated using a single item measure to capture overall satisfaction of stu-
dents.
2.2. Service Quality, Customer Satisfaction and
Behavioural Outcomes
Extant literature indicates that quality of a service is an antecedent to overall sa-
B. Mwiya et al.
1050
tisfaction for students (Arambewela & Hall, 2006; Cardona & Bravo, 2012; Naik,
Gantasala, & Prabhakar, 2010; Parasuraman et al., 1994; Zineldin, 2007). de Jag-
er and Gbadamosi (2010) posit that quality of service affects students’ overall
experience and success of programmes as it ensures continued students’ patro-
nage. A recent study by Jiewanto et al. (2012) also concluded that service quality
has a positive impact on student satisfaction. Further, previous research shows
that there is a relationship between service quality dimensions and behavioural
outcomes. For instance, in Jordan, Twaissi and Al-Kilani (2015) studied the im-
pact of perceived service quality on students’ behavioural intentions and found
that the perceived reliability, tangibility and assurance dimensions had an effect
on the students’ intentions to recommend their university to others.
Undeniably, the studies above have provided insights on how service quality
has been assessed along with satisfaction in higher education institutions. These
insights are very critical for all higher education institutions especially in the
under researched Zambian context. It can be further noted that, irrespective of
the service quality framework employed, most studies conclude that there is a
relationship between service quality and student satisfaction with their institu-
tion. For this reason, the current study proposes that service quality will have an
effect on students’ satisfaction. Accordingly, in Figure 1, Ser-vice quality dimen-
sions (responsiveness, empathy, assurance, reliability and tangibility) are con-
ceptualised as independent variables and student satisfaction as a dependent va-
riable.
Responsiveness and Students’ Satisfaction
According to Parasuraman et al. (1988) responsiveness refers to the “willing-
ness to help customers and provide prompt service” (p. 23). This implies the
customer will judge the performance of an organisation by the speed with which
their requests, queries, or complaints are handled (Zeithaml et al., 2006). There-
fore, employee actions and attitude toward service performance play a key role
in customers’ perceptions of a service.
With regard to higher education institutions, this implies students’ percep-
tions of ser-vice will be affected by the University personnel’s willingness to as-
sist students, ability to communicate when service will be delivered and the
speed with which the service is pro-vided. Based on empirical research, scho-
Figure 1. Conceptual model-service quality dimensions and their consequences.
Empathy
Assurance
Reliability
Customer
Satisfaction
Behavioural Intentions
Loyalty
Word of Mouth
Tangibility
Responsiveness
B. Mwiya et al.
1051
lars in Australia (Arambewela & Hall, 2006), Pakistan (Kundi, Khan, Qureshi,
Khan, & Akhar, 2014), Malaysia (Wei & Ramalu, 2011) and Indonesia (Jiewanto,
Laurens, & Nelloh, 2012) establish that responsiveness has an impact on stu-
dents’ satisfaction. That is, students that perceive a University as responsive will
be more satisfied than those that do not. Therefore, this study posits as follows:
H
1:
responsiveness positively influences student satisfaction with education
services
Empathy and Students’ Satisfaction
Parasuraman et al. (1988) explain empathy as “caring, individualised attention
given to customers” (p. 23). Typically, the individual customer forms percep-
tions of actual service based on how the treatment they get makes them feel spe-
cial, unique and that their needs are understood (Zeithaml et al., 2006). In other
words, empathy relates to the interactional quality (Pollack, 2008). In relation to
higher education, empathy reflects such things as giving individualised attention
and understanding the needs of students by all university staff that interact with
students. Empirical research in Malaysia (Wei & Ramalu, 2011), Iran (Rezaei et
al., 2011) and in Pakistan (Kundi et al., 2014) concluded that empathy has an in-
fluence on students’ satisfaction. Thus, the higher the perceived empathy, the
more satisfied the student will be and vice versa. Consequently, this study post-
ulates as follows:
H
2:
empathy has a positive relationship with student satisfaction with educa-
tion services
Assurance and Students’ Satisfaction
Parasuraman et al. (1988) refer to assurance as “employees’ knowledge and
courtesy and their ability to inspire trust and confidence” (p. 23). According to
Pollack (2008), assurance is also concerned with the quality of interaction.
Ideally, this refers to the extent to which an individual feels the organisation in-
stils trust and confidence (Zeithaml et al., 2006). As regards higher education in-
stitutions, assurance implies that students judge service performance based on
the politeness, courteousness, friendliness and ability of university staff to ex-
plain clearly the aspects of a service. Empirically prior research in Columbia
(Cardona & Bravo, 2012), Indonesia (Jiewanto et al., 2012; Sumaedi et al., 2011)
and Malaysia (Farahmandian, Minavand, & Afshardost, 2013; Yunus et al., 2010)
establish that there is positive relationship between assurance and students’ sa-
tisfaction. There-fore, this study hypothesises as follows:
H
3:
assurance has a positive effect on student satisfaction with education ser-
vices
Reliability and Students’ Satisfaction
Parasuraman et al. (1988) conceptualise reliability as the “ability to perform
the promised service dependably and accurately” (p. 23). This generally entails
that the firm delivers on its promises regarding outcome and core service
attributes (Zeithaml et al., 2006). For the customer, what is important is not only
what the firm promises but whether or not it actually delivers on those promises.
Little wonder, Pollack (2008) relates reliability to outcome quality. In terms of
B. Mwiya et al.
1052
higher education institutions, reliability reflects the university’s ability to provide
the service at the promised times, keeping students’ records (academic reports,
students’ results, etc.) and performing error-free services. Empirically studies in
Romania (Negricea et al., 2014), Australia (Sultan & Wong, 2012) and Malaysia
(Hasan, Ilias, Rahman, & Razak, 2009; Hassan & Ibrahim, 2010) concluded that
reliability has an influence on students’ satisfaction. Thus, students are more satis-
fied if the perceived reliability quality is high. Therefore, the study proposes that:
H
4:
reliability positively influences students’ satisfaction with education ser-
vices
Tangibility and Students’ Satisfaction
Parasuraman et al. (1988) define tangibles as the “appearance of physical facil-
ities, equipment, personnel, and written materials” (p. 23). Tangibility in other
words relates to the physical environment quality (Pollack, 2008). Since services
are intangible by nature, tangible elements enable individuals to form percep-
tions of service based on what they see. In higher education institutions, the tan-
gibility aspects refer to the things that students see to judge a service. These visi-
ble things include equipment (e.g. computers, projectors, etc.), physical facilities
(buildings, furniture, and classroom environment), printed university material
and the university personnel’s appearance. Empirical studies in Malaysia (Fa-
rahmandian, Minavand, & Afshardost, 2013; Rajab, Rahman, & Shaari, 2011),
Pakistan (Kundi et al., 2014), Jordan (Twaissi & Al-Kilani, 2015), establish that
tangibility has an influence on student satisfaction. Likewise, the higher the per-
ceived tangibility, the more satisfied the student will be. In line with this, the
study suggests that:
H
5:
tangibility positively influences students’ satisfaction with education ser-
vices
Student Satisfaction and Behavioural Intentions
Scholars in marketing indicate that there is a link between customer satisfac-
tion and customer loyalty (Walsh et al., 2009). This is because a firm that con-
sistently provides good quality products helps to reduce perceived risks in the
minds of the customers and therefore reduces the need for customers to search
for alternative service provides. This reduces transaction costs. Walsh et al.
(2009: p. 193) adduces evidence, based on a German energy company customers,
that this would result in customer loyalty reflected in repeat business. In addi-
tion, other scholars (Sundaram, Mitra, & Webster, 1998: p. 3) in the USA adduce
evidence form customers of automobile and electronic products that, based on
experience with the physical goods of the firm, consumers engage in positive
word of mouth for various reasons including helping the receiving of the infor-
mation; helping the entity that provides high quality products and positive ser-
vice experience; and penalising the firm that does not give a positive service ex-
perience. This study extends these concepts of loyalty and positive word of
mouth to the university service context. When it comes to university students, it
is expected that those students who express satisfaction with the service offered
by their university, would also express loyalty to the university and engage in
B. Mwiya et al.
1053
positive word of mouth to others about the university. Practically, this entails
that loyalty will be reflected in the intention to pursue further studies with the
same university and positive word of mouth would be reflected in the intention
to recommend the university to other people such as friends and relatives.
Therefore, the study posits as follows:
H
6:
Student Satisfaction is positively related to Loyalty to the University;
H
7:
Student Satisfaction is positively associated with positive word of mouth
about the university.
Based on the foregoing hypotheses, the conceptual Model in Figure 1 reflect
the direction of influence in the relationships between customer student satisfac-
tion and service quality elements of responsiveness, empathy, reliability, assur-
ance and tangibility.
3. Methods and Measurement
Population, sample and Data Collection
The purpose of this study was to examine the relationship between the five
dimensions of higher education service quality and customer satisfaction. As
such it employed a quantitative correlational design (Creswell, 2012; Saunders et
al., 2009). Prior studies exploring service quality in higher education in Colom-
bia (Cardona & Bravo, 2012), Jordan (Twaissi & Al-Kilani, 2015) and Portugal
(Brochado, 2009) have used a similar approach. In line with extant literature
highlighting the need for universities to have on-going mechanisms to obtain
institution-wide student feedback about the quality of their total educational ex-
perience (Cardona & Bravo, 2012), this study focused on the student population
of one of the oldest and largest public universities in an under-researched de-
veloping country context of Zambia.
Mindful of external validity, with a total student population of 12,000 (final
year undergraduate students at 3000), the minimum required representative
sample size would be 341, at confidence level of 95% and margin of error of 5%
(Saunders et al., 2009: p. 212, 585). To reduce the likelihood of low response rate
700 questionnaires were distributed; 656 were dully completed and returned to
the researchers representing a 93.7% response rate. Final year students were par-
ticularly targeted because they had been at the university for more than 3 years
and so they had more experience with the quality of various services. Addition-
ally, impending graduation compels them to consider whether to start looking
for employment or pursue further studies and at which university.
The study employed proportionate stratified sampling in selecting the sample
elements based on different faculties. As for data collection, a survey was under-
taken by using a self-administered questionnaire. With the help of faculty mem-
bers, the questionnaire was distributed to students before the commencement of
class and was collected at the end of the class. Before administering the ques-
tionnaire, the purpose of the study was explained to the respondents and then
for those willing to participate, informed consent was signed by the participants
prior to data collection. The resulting sample profile is given in Table 1 below
B. Mwiya et al.
1054
Table 1. Respondentsprofile.
Variables
Mean Frequency Percentage
Age (years)
26.47
Gender
Male
325 49.54
Female
331 50.46
Field of Study
Business
514 78.83
Non-Business
138 21.17
showing 656 full time final year undergraduate students, 50.46% female and
49.54% male, 78.83 % business students and the rest non-business students in
natural sciences, natural resources and engineering degree programmes. The
gender profile and the average age at 26.47 in the sample are typical of final year
university students in Zambia (Mwiya, 2014: p. 156).
Measurement Model Validity
To assure internal validity, the questionnaire comprised 27 items adapted from
prior similar studies in Portugal, South Africa, and Jordan (Cronin Jr. & Taylor,
1994; Brochado, 2009; van Schalkwyk & Steenkamp, 2014). The questionnaire
comprised the 22 items on the five dimensions of higher education service qual-
ity. Additionally, there was 1 item on overall customer satisfaction (“Iam satis-
fied with overall educational experience at this university”). Further, 2 items
were included to assess the behavioural intentions of loyalty (“I intend to later
come back and pursue my postgraduate studies at this University’, and “After I
graduate, I Intend to participate and financially contribute to the Alumni initia-
tives to help my University”). Lastly, 2 items were included regarding the like-
lihood of spreading positive word of mouth about the institution (“I would
recommend to employers to employ graduates from my University” and “Based
on my experience at the University, I would recommend this University to my
friends and family”). All the items were gauged on a five-point Likert scale
ranging from 1 = “strongly disagree” to 5 = “strongly Agree”. The questionnaire
was pilot tested before mass distribution to ensure the questions were clear and
where necessary correctly rephrased.
Factor analysis was performed (since sample was >150) to establish unidi-
mensionality of constructs and validity of the independent variables (Pallant,
2016). Specifically, exploratory factor analysis with principal components extrac-
tion and Varimax rotation was conducted. The assumptions for factorability of
the data (with correlation coefficients above 0.30) were fulfilled since the Kais-
er-Meyer-Olkin measure of sampling adequacy was 0.945 (minimum value re-
quired 0.60), and Bartlett’s Test of Sphericity was significant (Approx.
Chi-square = 7130.496, df = 23,
p
= 0.000). The cumulative percentage variance
explained was 64.7%. To check for consistency and stability of items, Table 2 il-
lustrates the factor loadings resulting in clear five dimensions of service quality
B. Mwiya et al.
1055
Table 2. Factor and reliability analyses for constructs.
Items
Components
1 2 3 4 5
Tangibility
0.633
My university has up to date equipment 0.633
My university has physical facilities (e.g. buildings and furniture)
that are attractive, visually appealing and stylish 0.557
Personnel at my university are well dressed and neat at all times 0.773
The materials at my University (e.g. pamphlets and study material)
suit the image of the university 0.654
Reliability
when my university promises to do something by a certain time, it does so
0.688
When the students have problems, the personnel of
my university are sympathetic and reassuring 0.741
My University is dependent and provides the service correctly the first time
0.696
My University provides services at the time promises it promises to do so
0.709
My University keeps its records accurately
(e.g. accounts, academia reports, Student`s results etc.) 0.712
Responsiveness
My University tells students when services will be rendered
0.694
Students receive fast (prompt) service delivery from the University personnel
0.753
Lecturers at my University are willing to assist students
0.765
Personnel of the University are not too busy to respond to students' requests promptly
0.674
Assurance
Students are able to trust the personnel of the University
0.523
Personnel at my University inspire confidence
0.538
Personnel at my University are polite
0.640
Personnel receive adequate support from my
University management to improve the performance of its services 0.745
Empathy
Students receive individualized attention from administrative personnel
(e.g. doing something extra for students). 0.780
Lecturers give students individual attention
0.674
Personnel at my University know what the needs of their students are
(e.g. recognizing students as clients) 0.649
The University personnel have the students' best interest at heart.
0.672
The University personnel are easily accessible to students
(e.g. available to see or to contact by phone, email etc.) 0.714
Eigen Value 9.621 1.729 1.105 1.003 1.001
Variance Explained (64.680%) 21.897 17.247 9.154 8.619 7.772
Cronbach Alpha 0.763 0.852 0.708 0.830 0.869
B. Mwiya et al.
1056
with Eigen values above 1. All Cronbach’s Alpha values were above the mini-
mum threshold of 0.70 (Pallant, 2016).
Prior to further bivariate and multivariate analyses, checks for missing data,
outliers and normality were conducted on the scale data. Descriptive statistics
revealed that missing data for the variables and respondents ranged between
1.2% and 3.3%. Missing data under 10% for each respondent or variable can
generally be ignored because it does not have a significant adverse effect on any
analyses. With regard to outliers, inspection of boxplots and comparison of ac-
tual means with the 5% trimmed means for the variables revealed no extreme
scores with strong influence on the means (Pallant, 2016). In relation to normal-
ity for all variables, kurtosis and skewness were within the acceptable ±1 range
for psychometric tests (George & Mallery, 2003).
4. Results
Correlation analyses
Pearson correlation analysis was performed to assess the direction and
strengthen of relationships among all variables. Table 3 presents the correla-
tions, means and standard deviations of the dependent variables (overall cus-
tomer satisfaction, positive word of mouth and loyalty), independent variables
(perceived responsiveness, perceived empathy, perceived assurance, perceived
reliability, perceived tangibility) and control variables (actual age and gender).
The results in Table 3 show relatively low correlations among variables (all of
them below 0.8). This entails that multicollinearity is not a problem (Tabachnik,
Fidell, & Tabachnick, 2007). Firstly, for the control variables, though both age
and gender are positively correlated with customer satisfaction only age is sig-
nificant. This means that older individuals are more likely to report satisfaction.
Among several explanations, this could be because older individuals are less
over-particular about their choices; probably because they understand the cons-
Table 3. Mean, Standard Deviation (SD) and correlation matrix.
Variable Mean SD N 1 2 3 4 5 6 7 8 9
1 Customer Satisfaction 3.239 1.048 641
2 Loyalty 3.201 0.934 645 0.438**
3 Positive Word of Mouth 3.843 0.919 639 0.563** 0.546**
4 Actual age 26.470 5.765 656 0.141** 0.214** 0.125**
5 Gender 0.500 0.500 653 0.025 0.029 −0.030 0.073
6 Perceived Responsiveness 3.014 0.791 653 0.291** 0.297** 0.241** 0.246** 0.014
7 Perceived Empathy 2.831 0.929 653 0.299** 0.295** 0.296** 0.278** −0.067 0.635**
8 Perceived Assurance 2.866 0.898 653 0.308** 0.304** 0.278** 0.275** −0.067 0.679** 0.744**
9 Perceived Reliability 2.691 0.886 653 0.328** 0.336** 0.276** 0.232** −0.031 0.655** 0.582** 0.603**
10 Perceived Tangibility 2.749 0.789 653 0.373** 0.320** 0.290** 0.193** −0.055 0.548** 0.517** 0.562** 0.674**
**Correlation is significant is significant at the 0.01 level (2-tailed).
B. Mwiya et al.
1057
traints the country and the public university operates under. Another explana-
tion is the notion that Zambia is a collectivist and feminine society with high
power distance (Hofstede, 2017). Therefore, older individuals are more likely to
conform to norms of society which dictate that one needs to be seen to respect
authority and supportive of societal institutions. As a consequence, older indi-
viduals would be less inclined to complain about any dissatisfaction with service
quality.
Secondly, Table 3 indicates that student satisfaction is positively significantly
correlated (all sig. ≤ 0.01) with each service quality dimension of university edu-
cation i.e. tangibility (r = 0.373), reliability (r = 0.328), assurance (0.308), empa-
thy (r = 0.299) and perceived responsiveness (r = 0.291). The effect sizes are
generally medium based on Cohen’s criteria i.e. small = 0.10 to 0.29, medium .30
to 0.49 and large = 0.50 to 1.00 (Cohen, 1988). Thirdly, the significant positive
correlations indicate that the higher the level of customer satisfaction, the higher
the level of loyalty (r = 0.438,
p
< 0.01 with medium effect size, r2 = 0.205) and
positive word of mouth (r = 0.563,
p
< 0.01 with large effect size, r2 = 0.317).
This supports H6 and H7, which postulate that customer satisfaction is positively
related to student loyalty and positive word of mouth recommendations. This
means that individuals who are satisfied with the education service at the uni-
versity are more likely to encourage friends and relatives to pursue their studies
at the same university and they are also more likely to encourage employers to
employ graduates from that university. Similarly, students who are satisfied with
the education service are more likely to intend to return to the same university
to pursue further studies or support the university as part of the alumni.
Hierarchical Regression analyses
To evaluate the ability of the multiple regression model (where the service
quality dimensions are the explanatory variables) to predict customer satisfac-
tion (outcome variable), after controlling for age and gender, hierarchical re-
gression analysis was conducted. Table 4 presents the results with overall cus-
tomer satisfaction as a dependent variable. The overall customer satisfaction
model hypothesises that perceived responsiveness, perceived empathy, perceived
assurance, perceived reliability and perceived tangibility are the main determi-
nants of overall customer satisfaction (Rod, Ashill, Shao, & Carruthers, 2009).
From Table 4, preliminary checks indicate that multicollinearity is not a prob-
lem because the variance inflation factor (VIF) values were lower than 5 for the
independent and control variables (Koe, 2016; Pallant, 2016). Further, all regres-
sion coefficients are in the expected positive direction.
Model 1 shows the base model with control variables only i.e. actual age and
gender. The control variables make a combined significant contribution of ad-
justed multiple coefficient of determination (R-Square) of 1.7% and multiple
correlation coefficient of (R) 0.141, representing a combined small effect size.
Individually, actual age is significant while gender is not. The rationale for sig-
nificant influence of age on customer satisfaction may be that as students
progress to higher levels of study they become experienced and mature and are
B. Mwiya et al.
1058
Table 4. Hierarchical regression analyses.
Variable Model 1
Model 2 Model 3 Model 4 Model 5 Model 6 VIF
Beta, t, Beta, t, Beta, t, Beta, t, Beta, t, VIF
Control Variables
Actual age 0.140***, 3.495 0.072, 1.818 0.047, 1.173 0.040, 1.002 0.034, 0.845 0.034, 0.866 1.112
Gender 0.015, 0.713 0.016, 0.411 0.032, 0.827 0.037, 0.827 0.040, 1.058 0.046, 1.241 1.025
Independent Variables
Perceived Responsiveness
0.273***, 6.888 0.161***, 3.245 0.115*, 2.136 0.038, 0.658 0.019, 0.338 2.364
Perceived Empathy
0.186***, 3.712 0.119*, 2.005 0.087, 1.459 0.074, 1.234 2.503
Perceived Assurance
0.133*, 2.137 0.099, 1.584 0.056, 0.905 2.822
Perceived Reliability
0.186***, 3.543 0.068, 1.186 2.431
Perceived Tangibility
0.243***, 4.658 1.990
R 0.141 0.300 0.332 0.341 0.367 0.405
R Square 0.020 0.090 0.110 0.117 0.134 0.164
Adjusted R Square 0.017 0.086 0.104 0.109 0.126 0.154
F-statistic 6.303** 20.333*** 19.01*** 16.209*** 15.855*** 17.148***
***sig < 0.001 (0.1 percent); **sig < 0.01 (1 percent); *sig < 0.05 (5 percent); VIF = Variance Inflation factor.
able to appreciate the significance of the university compared to other universi-
ties in the country. It is also possible that older students are less over-particular
in their preferences.
In model 2, in addition to control variables, perceived responsiveness is in-
troduced and a significant combined effect occurs (adjusted R2 = 8.6% from
1.7%), with R = 0.300 representing a combined medium effect size. Individually,
only perceived responsiveness makes a significant contribution. For responsive-
ness, this means that the higher the level of perception among customers (stu-
dents) that university personnel are willing and actually providing prompt ser-
vice and helping them to achieve their goals, the higher the levels of customer
satisfaction. Therefore, H1, which postulates that responsiveness positively in-
fluences students’ satisfaction with the education service at university, has been
supported.
In model 3, in addition to control variables and perceived responsiveness,
perceived empathy is introduced and a significant combined effect occurs (ad-
justed R2 of 10.4% from 8.6%), with R = 0.332 representing a combined medium
effect size. Individually, only perceived responsiveness and perceived empathy
make a significant contribution. For empathy, this means that as customers
(students) perceive that university personnel are willing to take care of the cus-
tomers by providing individualistic attention and rendering ears to their prob-
lems and effectively addressing their concerns and demands (Blery et al., 2009),
their levels of satisfaction with the service will be higher. Therefore, H2, which
postulates that perceived empathy positively influences students’ satisfaction
with the education services from the university, has been supported.
B. Mwiya et al.
1059
In model 4, in addition to control variables, perceived responsiveness, and
empathy, another variable i.e. perceived assurance is introduced and a signifi-
cant combined effect occurs (adjusted R2 = 10.9% from 10.4%), with R = 0.341
representing a combined medium effect size. Individually, perceived respon-
siveness, empathy and assurance make a significant contribution. This means
that customers (students) who perceive that university personnel possess know-
ledge and relevant ability and therefore inspire trust and confidence in providing
the promised services to customers (Blery et al., 2009) are more likely to report
higher satisfaction with the service. Therefore, H3, which postulates that per-
ceived assurance positively influences students’ satisfaction with the education
service, has been supported.
In model 5, in addition to control variables, perceived responsiveness, empa-
thy and assurance, another variable i.e. perceived reliability is introduced and a
significant combined effect occurs (adjusted R2 = 12.6% from 10.9%), with R =
0.367 representing a combined medium effect size. Individually, only perceived
reliability makes a statistically significant contribution. This means that the more
customers (students) perceive university personnel as having the ability and ac-
tually fulfilling the promised service in a committed manner, truthfully and con-
sistently (Blery et al., 2009), the more they will report customer satisfaction.
Therefore, H4, which postulates that perceived reliability positively influences
students’ satisfaction with the education service, has been supported.
In model 6, in addition to control variables, perceived responsiveness, empa-
thy, assurance and reliability, the last independent variable i.e. perceived tangi-
bility is introduced. A significant combined effect occurs (adjusted R2 = 16.4%
from 12.6%), with R = 0.405 representing a combined medium effect size. Indi-
vidually, only perceived tangibility makes a statistically significant contribution.
This means that customers (students) appreciate the overall outlook of the uni-
versity, its physical appearance as being visually appealing and stylish (Blery et
al., 2009) would report higher customer satisfaction. Therefore, H5, which post-
ulates that perceived tangibility positively influences students’ satisfaction with
the education service, has been supported.
Based on the correlation matrix (Table 3) hierarchical regression (Table 4),
Table 5 below summarises the results of hypotheses testing.
Table 5. Results of hypotheses testing.
#
Hypotheses
Statistic
Test
Results
H1 Responsiveness is positively related to Student Satisfaction B = 0.273*** Regression Supported
H2 Empathy is positively related to Student Satisfaction B = 0.186*** Regression Supported
H3 Assurance positively influences Student Satisfaction B = 0.133* Regression Supported
H4 Reliability is positively associated with Student Satisfaction B = 0.186*** Regression Supported
H5 Tangibility is positively correlated with Student Satisfaction B = 0.243*** Regression Supported
H6 Student Satisfaction is positively associated with Loyalty R = 0.438** Correlation Supported
H7 Student Satisfaction is positively associated with Word of Mouth R = 0.563*** Correlation Supported
***sig < 0.001(0.1 percent); **sig < 0.01 (1 percent); *sig < 0.05 (5 percent).
B. Mwiya et al.
1060
Lastly, Model 6 in Table 4 also presents the multiple regression with all the
control and independent variables’ effects on overall customer satisfaction re-
flected. When all the variables are considered in totality, while all the variables
make a positive contribution, only perceived tangibility remains statistically sig-
nificant and has the largest contribution based on the beta values i.e. perceived
tangibility: Beta = 0.243,
p
< 0.001, perceived reliability: Beta = 0.068,
p
> 0.05,
perceived assurance: Beta = 0.056,
p
> 0.05, perceived empathy: Beta = 0.074,
p
>
0.05, perceived responsiveness: Beta = 0.0.019,
p
> 0.05.
5. Discussion
The findings in this study suggest that perceived responsiveness, empathy, as-
surance, reliability and tangibility each significantly influence overall customer
satisfaction in public universities in Zambia. Based on the comprehensive mul-
tiple regression model, the largest predictor of satisfaction is perceived tangibili-
ty. However, the correlation results indicate that inter-correlations among the
dimensions of service quality range between R = 0.517 to R = 0.714, representing
a large size effect. This means that perceptions of good performance in one qual-
ity dimension positively influences perceptions in the other dimensions. The
implication is that service quality elements should be monitored, developed and
improved as a whole and not in isolation from each other.
The findings from this study have supported the conceptual model and all the
hypothesised relationships. This means that the higher the level of perceived
good service performance in tangibles, reliability, assurance, empathy and res-
ponsiveness to customer’s needs, the higher the level of customer satisfaction. In
turn, customer satisfaction positively influences customer loyalty intentions and
positive word of mouth. These findings resonate with prior studies in Colombia
(Cardona & Bravo, 2012), Jordan (Twaissi & Al-Kilani, 2015) and Portugal
(Brochado, 2009) that found that customer satisfaction is significantly influ-
enced by the five service quality dimensions. This entails that even in collectivist,
lower middle income countries, service quality dimensions are valid predictors
of customer satisfaction.
Further, this study is among the few to offer empirical evidence, based on the
SERVPERF scale, that student satisfaction positively influences behavioural in-
tentions of loyalty and positive word of mouth. This means that individuals who
are satisfied with the education service at the university are more likely to en-
courage friends and relatives to pursue their studies at the same university and
they are also more likely to encourage employers to employ graduates from that
university. Similarly, students who are satisfied with the education service are
more likely to intend to return to the same university to pursue further studies
or support the university as part of the alumni.
Lastly, the finding that older individuals are more likely to report satisfaction
is very interesting. Among several explanations, this could be because older in-
dividuals are less over-particular about their choices; probably because they un-
derstand the constraints the country and the public university operates under.
B. Mwiya et al.
1061
Another explanation is the notion that Zambia is a collectivist and feminine so-
ciety with high power distance (Hofstede, 2017). Therefore, older individuals,
pressured by society to lead by example, are more likely to conform to norms of
society which dictate that one needs to be seen to respect authority and suppor-
tive of societal institutions. As a consequence, older individuals would be less in-
clined to complain about any dissatisfaction with service quality.
6. Conclusions, Contribution and Implications
The purpose of this research was to apply the service performance (SERVPERF)
model in a Zambian context and determine the influence of each service quality
dimension on overall service satisfaction. The study was based on a quantitative
correlational design where primary sample data were collected from 656 final
year undergraduate students at one public university in Zambia. The main find-
ings indicate that each of the five dimensions of service quality performance di-
mensions (tangibility, reliability, responsiveness, empathy and assurance) is sig-
nificantly and positively related to overall customer satisfaction, which in turn is
related to loyalty and positive word of mouth.
The contributions of this research are threefold. Firstly, prior studies explor-
ing service quality in higher education in Colombia (Cardona & Bravo, 2012),
Jordan (Twaissi & Al-Kilani, 2015), Petruzzellis, DUggento & Romanazzi (2006)
in Italy and Portugal (Brochado, 2009), suggest that customer satisfaction can be
explained by perceived service quality. However, African countries are under-
researched and this limits generalisability of research conclusions. In fact, hi-
therto, literature with a Zambian context is non-existent. The consequences of
lack of research in the Zambian context entail that stakeholders have no basis for
developing strategies and setting resource allocation priorities to improve service
quality based on context specific conclusions. Therefore, this study has contri-
buted to filling this contextual gap in knowledge, thus extending the generalisa-
bility of prior research conclusions and improving external validity (Eden, 2002;
Miller & Bamberger, 2016; Evanschitzky et al., 2007). Indeed, the study has con-
firmed the applicability of the SERVPERF model in a collectivist, high power
distance, feminine and lower middle income country like Zambia.
Secondly, besides Helgesen and Nesset (2007) in Norway as well as Brown &
Mazzarol (2009) in Australia and Ali et al. (2016) in Malaysia who explore the
link between student satisfaction and loyalty, there is a shortage of studies link-
ing service quality, student satisfaction and behavioural intentions of loyalty and
positive word of mouth. This study is among the few to offer empirical evidence,
based on the SERVPERF scale that student satisfaction positively influences be-
havioural intentions of loyalty and positive word of mouth. Thirdly, the study
contributes evidence that older individuals in a collectivist, high power distance
and feminine society are more likely to report customer satisfaction. This is per-
haps because they are more likely to feel pressure to conform to the norms of so-
ciety and to be seen to be supportive of societal institutions. As a consequence,
older individuals would be less inclined to complain about dissatisfaction with
B. Mwiya et al.
1062
service quality.
Implications for scholars, administrations and policy makers are that the ser-
vice performance model (SERVPERF) is a valid and useful framework for as-
sessing and monitoring how the primary stakeholders form their service quality
perceptions of higher education. Therefore, customer satisfaction is a function of
perceptions of performance in the service quality dimensions of tangibility, re-
liability, responsiveness, assurance and empathy. The study’s findings also imply
that perceptions of good performance in one quality dimension positively influ-
ence perceptions in the other dimensions of quality. This means that service
quality elements should be monitored, developed and improved as a whole and
not in isolation from each other. This also means that the higher the level of
perceived good service performance in tangibles, reliability, assurance, empathy
and responsiveness to customers’ needs, the higher the level of customer satis-
faction. In turn, students who are satisfied with the education service are more
likely to pursue further studies at the same university, support the university as
alumni and engage in positive word of mouth to friends, family, employers and
other stakeholders about the university.
Limitations and Directions for Future Research
Being a cross sectional study, this research could only offer a snapshot of the
phenomenon. Thus, only correlation rather than causality can be inferred. In
future longitudinal studies conducted annually as an all-encompassing, holistic
and recognised higher education service quality evaluation system would help
institutions to assess and monitor their service quality performance. Additional-
ly, since the sample was limited to one public university, in future a sample
drawn from public and private universities would improve generalizability of the
conclusions. This would also help compare service quality and customer satis-
faction between private and public universities.
Acknowledgements
The authors wish to thank Sandra Muzeya, Chiluba Mbulo and Nicole Mweema
for data entry support.
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... However, the majority of researches on service quality in the higher education sector have been concentrated in Turkey (Yildiz & Kara, 2009), Chile (Rojas-Méndez et al., 2009, Scotland (Ibrahim et al., 2013), India (Jain et al., 2013, Malaysia (Garba & Sentosa, 2015), Mauritius (Teeroovengadum et al., 2016), Poland (Ingaldi, 2018), Thailand (Lu & Pitchayadejanant, 2017), Kazakhstan (Saduov et al., 2018), Egypt (Khalaf & Khourshed, 2017), USA (Sokoli et al., 2018), Slovenia (Sokoli et al., 2019), Bangladish (Osman & Saputra, 2019), UAE (Sameena, 2020), Indonesia (Asnawi and Setyaningsih, 2020), and Italy (Mortari & Ubbiali, 2021). In most Page 4 of 22 Demis Alamirew Journal of Innovation and Entrepreneurship (2024) 13:76 African nations, quality service especially in universities have not received enough attention in the literature, which restricts generalization of previous research conclusions (Mwiya et al., 2017). From this one could differentiate that this notion is still undergone in most African countries mainly, in Ethiopia universities (such as University of Gondar, College of Business & Economics). ...
... The aspect of service excellence that deals with reliability is essential and understood through the service quality's human element (Kaura et al., 2012). In higher education institutions' reliability is determined by their capacity to deliver services on schedule, maintain students' records (academic reports, test results, etc.), and deliver services without errors (Mwiya et al., 2017). ...
... In addition, majority of prior research has investigated the quality of services in higher education institutions in Turkey (Yildiz & Kara, 2009), Chile (Rojas-Méndez et al., 2009, Scotland (Ibrahim et al., 2013), India (Jain et al., 2013), Malaysia (Garba & Sentosa, 2015), Mauritius (Teeroovengadum et al., 2016), Poland (Ingaldi, 2018), Thailand (Lu & Pitchayadejanant, 2017), Kazakhstan (Saduov et al., 2018), Egypt (Khalaf & Khourshed, 2017), USA (Sokoli et al., 2018), Slovenia (Sokoli et al., 2019), Bangladish (Osman & Saputra, 2019), UAE (Sameena, 2020), Indonesia (Asnawi & Setyaningsih, 2020), and Italy (Mortari & Ubbiali, 2021). However, African countries are under-researched, which limits the generalizability of research conclusions (Mwiya et al., 2017). Therefore, this study contributes to the existing literature on service quality in higher education institutions in the developing nation. ...
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Providing quality service is the major concern of many public organizations. However , the way to provide immediate service (responsiveness), the capacity to deliver on promises of accurate and consistent service (reliability), the degree of trust and confidence of students in the service provided by the college (assurance), the physical appearances of the service that the college offers (tangibility) and understanding the needs of students in the college are not as such potential. Thus, the study aims to investigate the effect of a quality service system on student satisfaction in Business and Economics College, University of Gondar. An explanatory research design with a quantitative research approach was employed to address the specified objectives. The population of the study was 6323 and out of these, 376 samples were drawn through stratified random sampling technique. Of 376 self-administer questionnaires, 263 were valuable for this analysis. One of the objectives of the study was to understand the dominant service quality dimension. The finding of the mean score of SERV-QUAL dimensions portrays that students are less satisfied with dimension responsiveness (M = 2.31), which implies that the way students get an immediate response for their need showed very low followed by dimension empathy (M = 2.63) i.e., the willingness of staff to support or help students, spontaneous care and concern of staff to student's needs, is lower, whereas with tangibles, assurance, and reliability are better. The PLS-SEM analysis result confirmed that tangibility and assurance has a significant effect but other service quality dimensions are not.
... Students' welfare and wellbeing normally get keen attention when enrolment increases. The work of Sadera, Tanui and Kara (2022) posited that enrolled students influence future recruitment efforts through positive word of mouth communication to potential students on the service experience in a university (Mwiya, 2017). Students' welfare and wellbeing service quality has a bearing on the sustainability of universities with a higher education service enhancing their reputation and customers' loyalty (Mmutle & Shonhe, 2017). ...
... Students' welfare and wellbeing service quality has a bearing on the sustainability of universities with a higher education service enhancing their reputation and customers' loyalty (Mmutle & Shonhe, 2017). Although there is no agreement on the various components of education service quality among scholars, students' welfare services have been identified as a salient parameter of service experience in universities (Kara et al., 2016;Kaur & Amanpreet, 2020;Mwiya et al., 2017;Viraiyan et al., 2016) Most schools have a vision and philosophy that support learning and students wellbeing. Studies by Serhan and Serhan (2019) who did more work on the perception and impact of impact of food service attributes on customer satisfaction among students' revealed that the welfare services entailed essential services that aimed at promoting the physical, mental, and social wellbeing of learners in an institution. ...
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... Yang (2013), while observing the Chinese student's intention found that attitude, subjective norms, and perceived behavioural control do influence the entrepreneurial intention of Chinese students. Paco et al. (2011) and Mwiya et al. (2017) also examined the impact of attitude, subjective norms and perceived behavioural control and confirmed that they are of utmost importance while explaining the entrepreneurial intention. Figure 1 The theory of planned behaviour (TPB) ...
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The objective of this research is to check whether the models of EI (Entrepreneurial Intention) explain the entrepreneurial phenomenon when applied to Indian Muslims. The framework tested here is Ajzen's theory of planned behaviour (TPB) and the data has been collected by administering questionnaire among the students at Aligarh Muslim University, Aligarh, India. The study uses a linear regression model to examine the drivers of EI based on TPB. The results partly back the TPB since its construct social norms (SN) found to be insignificant in forecasting EI. Furthermore, highest variance is explained by PBC indicating India's environment to be less conducive for entrepreneurs than other countries. This study is one of its kind studying Entrepreneurial Intention Models based on TPB framework covering students from Muslim community of India. Additionally, this study also focuses on checking the strength of the TPB in explaining EI in Indian Muslims.
... Yang (2013), while observing the Chinese student's intention found that attitude, subjective norms, and perceived behavioural control do influence the entrepreneurial intention of Chinese students. Paco et al. (2011) and Mwiya et al. (2017) also examined the impact of attitude, subjective norms and perceived behavioural control and confirmed that they are of utmost importance while explaining the entrepreneurial intention. Figure 1 The theory of planned behaviour (TPB) ...
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The objective of this research is to check whether the models of EI (Entrepreneurial Intention) explain the entrepreneurial phenomenon when applied to Indian Muslims. The framework tested here is Ajzen's theory of planned behaviour (TPB) and the data has been collected by administering questionnaire among the students at Aligarh Muslim University, Aligarh, India. The study uses a linear regression model to examine the drivers of EI based on TPB. The results partly back the TPB since its construct social norms (SN) found to be insignificant in forecasting EI. Furthermore, highest variance is explained by PBC indicating India's environment to be less conducive for entrepreneurs than other countries. This study is one of its kind studying Entrepreneurial Intention Models based on TPB framework covering students from Muslim community of India. Additionally, this study also focuses on checking the strength of the TPB in explaining EI in Indian Muslims.
... This was counterbalanced with insight into higher education teaching excellence resources (Brittingham et al., 2008;Chang et al., 2014;Gravestock & Gregor-Greenleaf, 2008;Haras et al., 2017;McGoldrick & Tobey, 2016). Additional sources were identified and reviewed to inform teaching methods, e-learning perceptions, student satisfaction, and technology-based learning strategies (Dos Santos et al., 2019;Giuffré & E. Ratto, 2013;Han & Liu, 2022;Koller et al., 2005;Lint, 2013;Mwiya et al., 2017;Prenger et al., 2019). Finally, the authors have previous work discussing Learning Communities (Bukiet et al., 2023;Yáñez León et al., 2023). ...
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