What Influences Customers to Revisit Full-Service Restaurants in
Malaysia?
MARIA ABDUL RAHMAN, YATY SULAIMAN, NIK KAMARIAH NIK MAT,
ZURAIDA HASSAN
School of Business Management,
Universiti Utara Malaysia,
Kedah,
MALAYSIA
Abstract: - The full-service restaurant segment contributed significantly to the Malaysian restaurant industry in
2020. However, the full-service restaurant segment has been facing fierce competition from the other segments,
such as cafes and bars, street stalls, fast food, self-service cafeterias, and home-based segments, particularly
after the government's announcement to loosen the COVID-19 restrictions. Therefore, this study intends to
examine predictors of customer revisit intention towards full-service restaurants in Malaysia. The variables
investigated in this study were food safety, price fairness, customer satisfaction, and customer revisit intention.
This research followed a quantitative approach. Data were collected from 291 customers that had previously
experienced dining in full-service restaurants in Malaysia through an online platform using a Google Form. The
gathered information was entered into SPSS as coded data and subjected to partial least squares analysis with
SmartPLS 3.0. The findings confirmed food safety and price fairness do not have any significant influence on
customer revisit intention towards a full-service restaurant. On the other hand, the results of this study show
that food safety and price fairness have a positive and significant influence on customer satisfaction. Also,
customer satisfaction positively and significantly influences customers' intentions to revisit. Finally, the
analysis confirmed that customer satisfaction mediates the relationship between food safety and price fairness
with customers' revisit intentions towards full-service restaurants in Malaysia. Price fairness was found to have
a greater influence than food safety on Malaysian consumers' revisitation intentions towards full-service
restaurants in Malaysia. Industrial players can improve customer revisit intentions for their restaurants using the
research findings.
Key-Words: - food safety, full-service restaurant, price fairness, revisit intention, satisfaction.
Received: March 29, 2023. Revised: August 17, 2023. Accepted: September 8, 2023. Published: September 15, 2023.
1 Introduction
One of the key industries that have made a
significant contribution to Malaysia's economic
growth is the restaurant industry, which includes
full-service restaurants, cafes and bars, street stalls,
fast food, self-service cafeterias, and home-based
delivery. The multicultural background of Malaysia,
with its distinctive fusion of foods, has also aided in
the restaurant industry's growth. The industry has
been competitively growing and has continued to
develop as consumers' demand increases due to the
growing proportion of working populations. Due to
the intense competition, restaurants must
concentrate on their consumers in a more cutthroat
environment by adopting marketing strategies that
take into account their needs, resulting in increased
satisfaction and repeat business. However, the
recent global COVID-19 outbreak has significantly
hurt the restaurant industry. The government has
forbidden restaurant operators from doing business
to stop the pandemic from spreading. With limited
operating capacity during the Movement Control
Order (MCO), restaurants could not survive in the
market. As of the start of the epidemic, almost 30%
of the approximately 200,000 restaurants and bars
have already closed, as mentioned by the Vice
President of the Restaurant and Bistro Owners
Association, Mr. Jeremy Lim, [1]. Even when the
restaurants were given the go-ahead to open, the
government only authorised them to offer takeout
and food delivery services. Without exception, full-
service restaurants also have to rely on takeout and
delivery services to fulfill their customers’ demands
during the MCO period. Therefore, not surprisingly,
full-service restaurants led the restaurant industry’s
revenue by contributing 36.6% to the total industry
revenue in 2020, [2]. The Malaysian government's
subsequent statement that the COVID-19 limits will
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1971
Volume 20, 2023
be loosened beginning on April 1, 2022, has
permitted restaurant operators to run at full capacity
and consumers to dine in. This has created
opportunities for restaurant operators to recover
their businesses after a long period of closure. For
the full-service restaurants, this would be a great
opportunity for the operators to increase their
profitability in the market, especially during an
uncertain period such as the present COVID-19
pandemic. Retaining customers is essential since it
immediately affects how the restaurant runs, [3], as
consumers are a business's source of income and
profitability, [4]. However, the restaurant industry
has faced several issues, such as food safety and
price increases. As the global food industry
develops, food safety has emerged as a common
issue for both wealthy and developing nations, [5].
The majority of consumers do not think about the
safety level of food prepared when selecting a
restaurant, [6]. The majority of Malaysians prioritise
and place a high value on food taste over food
safety; consequently, Malaysians have a poor level
of public awareness regarding food safety, [7]. Food
safety is crucial in the restaurant industry because
the restaurant marks the end of the food supply
network before it is consumed by the consumer. A
restaurant operator’s lapse in food safety can greatly
impact the customers, as deemphasizing hygiene
and food safety may lead to food poisoning.
Ensuring food safety is challenging due to the
complexity of food production and the extension of
the food supply network, [5]. Except for schools,
institutions, and private households, a study by the
Ministry of Health Malaysia (MOH) in 2019 found
that 21% of food poisoning incidents in Malaysia
were brought on by other sources such as food
trucks, restaurants, and night markets, [5]. In
addition, MOH also reported 516 food poisoning
cases in 2019, followed by 288 and 197 cases in
2020 and 2021, respectively, [8]. Even though the
cases have been showing a downward trend, there is
still a need to ensure food safety, as it has
significant consequences for public health, [5].
Therefore, restaurant operators must prioritise food
safety since it can lead to a decline in customer
loyalty, a loss of consumer trust, public health
compliance requirements, and expensive legal fees,
[9]. In addition to providing hygienic and superb
food, the reasonable price charged may impact
customer satisfaction with the restaurants and
customers’ revisit intention, [10]. The current
inflation rate of 3.8% as of December 2022 has
caused an increase in food prices, making it more
challenging for restaurant operators to retain their
customers. Price, a crucial marketing tool, retains its
significance in repeat purchases, [11]. Restaurant
operators that are mainly dependent on the supply of
raw materials from suppliers are currently found to
be forced to increase food prices by up to 40 percent
following the supply of expensive raw materials
(i.e., cooking oil, sugar, vegetables, fish, grains,
eggs, and meat) imposed by suppliers, [12].
Consumers who work and frequently eat out suffer
the most from the price hike, especially the low-
income population. While restaurant operators work
hard to boost their profits, customers prefer to shop
around for the best deals on products and services
that will benefit them the most, [13]. However,
increasing the price of cooked food excessively will
ultimately affect restaurant operators when
consumers make a choice, [14]. Consumers feel that
the increase is too high and affects restaurant
visitors who are daily customers, [12]. Therefore, in
an industry where customers have many selections
to choose from, restaurant operators must
understand the determinants of customers' revisit
intentions. This research was conducted to
investigate factors (i.e., price fairness, food safety,
and customer satisfaction) influencing the intention
to revisit full-service restaurants. Specifically, the
aims of this research are listed as follows: (i) to
investigate the influence of food safety and price
fairness on customers' revisit intention towards full-
service restaurants, and (ii) to investigate the role of
satisfaction as a mediator on the relationships
between food safety and customer revisit intention
and between price fairness and customer revisit
intention towards full-service restaurants. The full-
service restaurant sector has been contributing huge
profits to the restaurant industry in 2020. This study
is also an effort to learn more about full-service
restaurants in Malaysia, as limited studies have been
conducted in this context. Except for studies by
[15], [16], [17], numerous studies on customer
revisit intention were conducted in the context of
fast food, quick casual, limited services, theme,
local food, and organic food restaurants, [18], [19],
[20]. However, research on food consumption and
representation in Asia is still lacking, especially
empirical studies on the environment of full-service
restaurants in Malaysia, [21]. Various studies have
investigated the relationship between food safety
and customer intention to revisit, [22], [23], and also
the relationship between price fairness and customer
intention to revisit, [24], in separate research
frameworks. This study combines food safety, price
fairness, and satisfaction in one integrated research
framework to study their influence on customer
revisit intention towards full-service establishments.
The outcome of this study will contribute to the
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1972
Volume 20, 2023
body of knowledge in this industry. Knowing which
variable is more crucial can benefit restaurant
operators, who need to maximise efficiency and
profitability while working with constrained
resources. As a result, it is necessary to determine
factors that consumers deem significant when
revisiting full-service restaurants. Consequently, this
study's goal is to analyse dual purposes. By
conceptualising and analysing a framework (Fig. 1)
that offers a better understanding of the impact of
food safety and price fairness on consumer
satisfaction and revisiting intention, the main goal of
this study is to close the gap in the existing studies.
The study also examines how satisfaction mediates
the link between food safety and the intention to
revisit full-service restaurants and the relationship
between price fairness and the intention to revisit
full-service restaurants. Additionally, the current
study offers significant insights to restaurant
operators that will help them focus their efforts in
ways that will satisfy their customers and provide
them with a competitive edge. In this study, the
stimulus-organization-Response theory (SOR) will
be used to examine the association between food
safety, satisfaction, and customers' intentions to
return to a full-service restaurant. Besides that, the
equity theory was used to explain the connection
between price fairness and customer satisfaction. A
survey of customers at several full-service
restaurants in Malaysia was undertaken to better
comprehend the reasons why customers planned to
return.
2 Theoretical Background and
Hypotheses Development
2.1 Underpinning Theories
This study is conducted based on the framework
developed according to the Stimulus-Organism-
Response (SOR) Theory, [25], and Equity Theory
created by Adams in 1965, [11]. SOR is a well-
established research framework that has been
broadly applied to learn consumer behavior, [26].
The SOR Theory aids in the understanding of the
motivations underlying a person's action. The
consumers’ actions are an image of the stimuli that
affect their inner feelings. It primarily depicts how
an organism can be stimulated, which starts inner
processes to prepare for the ultimate response, [26].
Stimuli are any external cues that cause customers
to act in a hedonistic manner, such as the quality of
products, prices, packages, or promotions, [27]. The
inner processing may be conscious or unconscious,
depending on the input. The process will further
trigger an emotion that prompts a reaction.
Therefore, it is important to understand how various
stimuli can affect a consumer’s mental state when
examining his or her behaviour. From the
perspective of this theory, food safety is a stimulus
that may affect customers’ internal evaluations
(satisfaction), increasing their willingness to revisit
full-service restaurants. Equity theory provides the
foundation for the idea of perceived justice, [11].
According to this theory, if customers understand
that there is justice between what they give and
what they receive, they will be satisfied. Customers
will be dissatisfied if their expectations regarding
equity are not met, [28]. This study proposes that
food safety and price fairness influence customer
satisfaction and revisit intention. It does this by
using SOR theory and equity theory, which combine
the evaluations of food safety, price fairness, and
satisfaction with revisiting intention towards a full-
service restaurant. The next section discussed the
variables involved and the development of
hypotheses.
2.2 Revisit Intention
Long-term restaurant profitability largely depends
on customers' eagerness to return and recommend
the establishment to others, [16]. In the context of
dining establishments, behavioural intentions can be
characterised as the possibility, tendency, or plan
that a customer will return to the same restaurant,
[29], and to spread favourable word of mouth and
recommendations to relatives, friends, and other
people in the future, [16]. Since it costs more to
obtain a new customer than to retain an existing one,
service providers are mindful of consumers'
intentions to return. Satisfied existing customers
will be more likely to revisit compared to new
customers because they have more confidence in the
restaurant, [30]. Therefore, the restaurants must
investigate factors that may increase customer
revisit intention.
2.3 Food Safety
Food safety is synonymous with food hygiene
which refers to anything done to guarantee that food
is handled, prepared, or processed in a way that
makes it safe to eat, [31]. From the customers'
perspective, food safety refers to subjective
assessments or judgments about the safety of food in
dining establishments, [32]. Food safety is strictly
related to several types of risks including biological,
physical, chemical, and technological risks.
Therefore, confirming that food is safe entails
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1973
Volume 20, 2023
reducing the likelihood of these risks, [33]. Any part
of the food system can experience issues with food
safety. As food is prepared and cooked for
customers, restaurants play a significant role in the
chain from farm to fork, [34]. In judging the level of
food safety, customers only rely on the visible cues
in the food service establishments, [33], as all the
foods are prepared by the food handlers. Therefore,
it is important for the food handlers to safely
prepare the foods for consumption as any outbreak
undermines the food sector by causing people to
stop buying its products. Instead of dining out,
customers may choose to buy prepared foods from
grocery stores. A study by [35], found a positive and
significant relationship between food safety and the
intention to purchase halal products. In addition,
studies by [32], [36], found that customer
satisfaction was found to be positively influenced by
consumer views of restaurant food safety.
2.4 Price Fairness
As one of the fundamental marketing mixes, price
plays an important role in customer satisfaction as it
is related to fairness, [37]. When making purchase
decisions, customers will frequently compare prices,
and when consumers have faith in the price to be
realistic, they are more likely to be satisfied, [38],
willing to repurchase the product, and more likely to
recommend it to other people, [18]. In contrast,
unfair prices unfavorably affect the revisit intentions
of the customers, [18], [39]. Consumers frequently
refer to previous prices, rival prices, and the cost of
goods sold, assuming that price comparisons
between other brands are impartial, [13]. For this
reason, restaurants work hard to increase the level of
price fairness for their customers. Price fairness
refers to consumer evaluations of whether the costs
of a certain brand's goods or services are fair,
adequate, or justified. Price fairness is important to
consider, as honest and fair prices prevent customers
from switching and negative word of mouth, [40]. A
study by, [11], found that price fairness positively
influences restaurants’ customer revisit intention in
Turkiye. In addition, [40], found price fairness to
affect customers’ satisfaction in full-service
restaurants in the United States. The same results
were also found in a study conducted by, [13], in the
context of fast-food restaurants.
2.5 Customer Satisfaction
According to the expectation-disconfirmation
theory, [41], consumers should assess their actual
experiences with products and services against their
expectations. Customers are more likely to feel
satisfied if their experiences meet or exceed their
expectations based on the overall performance of
the firm. To satisfy customers, firms need to meet
their expectations. Therefore, analysing customer
satisfaction has undeniably become one of the
biggest challenges for businesses, [42]. If the
managers can identify determinants of customer
satisfaction, they may be able to improve the factors
to maximise the customers' satisfaction. Customer
satisfaction is crucial because it influences post-
purchase attitudes and actions, including
repurchasing, brand loyalty, and changing attitudes,
[43]. Customers frequently decide whether to buy or
repurchase a product or service after determining
whether their interactions with it have been positive
or satisfying, [44]. Satisfied consumers intend to
revisit the same establishment and do not plan to
shift to a different one, [11]. A positive and
significant relationship between satisfaction and
revisit intention towards hotel restaurants was found
in a study conducted by, [44]. According to, [45],
customer satisfaction is directly correlated with
customer retention at a limited-service restaurant in
Jordan. Customer satisfaction was also found to
significantly affect customers' intention to revisit
and dine in Bangladeshi restaurants, [46].
The outcome of several studies has shown
positive relationships between price fairness,
customer satisfaction, and revisit intention. For
example, [37], [47], [48], found that price fairness
affects customer satisfaction and in turn that
customer satisfaction enhanced revisit intention. In
addition, studies by, [32], [49], found that the
impact of food safety on customer loyalty (future
behavioural intentions) was fully mediated through
their associations with customer satisfaction.
2.6 Summary of Hypotheses
The following hypotheses were proposed to measure
the associations between the study constructs:
H1: Food safety positively influences revisit
intention.
H2: Price fairness positively influences revisit
intention.
H3: Food safety positively influences satisfaction.
H4: Price fairness positively influences satisfaction.
H5: Satisfaction positively influences revisit
intention.
H6: Satisfaction mediates the relationship between
food safety and revisits intention.
H7: Satisfaction mediates the relationship between
price fairness and revisiting intention.
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1974
Volume 20, 2023
The research framework is shown in Fig. 1.
Fig. 1: Research Framework
3 Methodology
3.1 Survey Instrument
This study investigates variables that influence
customers’ intentions to revisit full-service
restaurants. To measure various variables involved
in the study (i.e., food safety, price fairness,
satisfaction, and revisit intention), an extensive
literature review was conducted. Items from existing
scales with strong internal consistency were adapted
for the current study. This study used a seven-point
Likert scale ranging from "1" as strongly
disagreeing to "7" as highly agreeing. A three-item
scale was adapted from, [46], to measure revisit
intention. Price fairness was also measured using a
five-item scale adapted from, [50], to measure
revisit intention. Price fairness was also measured
using a five-item scale adapted from, [51]. A five-
item scale was adapted from, [52], to measure food
safety. Customer satisfaction was measured using a
four-item scale adapted from, [53]. Except for
satisfaction and other variables (i.e., food safety,
price, and revisit intention), all items are measured
based on reflective indicators.
3.2 Pretest Survey and Pilot Study
This study adopted a quantitative approach. To
guarantee that the questionnaire design was
comprehensive, two associate professors who are
experts on consumer behaviour and two restaurant
customers participated in the pretesting process of
the survey instrument. The purpose of conducting
the pretest was to assess the measurement items'
content validity and face validity. The questionnaire
was revised to remove any potential for
misunderstanding the terminology, the questions, or
the possible answers based on the feedback.
Changes were also made to the survey's format,
language, flow, and length based on their
recommendations. The questionnaires comprise two
sections: a section on the demographic profile of the
respondents and questions related to the variables.
Nominal and ordinal scales were utilised to assess
questions about respondents’ backgrounds. The
questions on the safety of food served at the full-
service restaurants, the price of food, satisfaction
with the full-service restaurants, and the intention to
revisit the full-service restaurants were related to the
variables. The pilot study was conducted on 30
respondents following the pretest survey to assess
the reliability of the variables. Scale reliability was
measured by Cronbach’s alpha coefficient. Values
of Cronbach’s alpha exceeding the threshold value
of 0.70 indicated an adequate level of reliability.
3.3 Data Collection and Analysis
The target population in this study was all full-
service restaurant customers in Malaysia during
October 2022. The G*power software was used to
compute the sample size, [54]. A non-probability
sampling methodology combined with a purposive
sampling strategy was utilised because the precise
population size was undetermined. In this study,
customers over 18 years of age who have
experienced dining at full-service restaurants were
the sample selection criteria. Data collection was
conducted via an online platform using Google
Forms, which were distributed to the respondents.
The G*power software identified a minimum
sample size of 119 respondents. The overall sample
size obtained using the snowball sampling method
was 291 respondents. All questionnaires collected
from these respondents were usable for further data
analysis. The collected data were examined, coded,
and further filtered out using SPSS 26. SPSS makes
it easier to look for logical inconsistencies that exist
in the data. Data on the demographic background
were further analysed using SPSS. Hypotheses
testing was conducted by employing partial least
squares (PLS-SEM). The PLS-SEM analysis is
frequently performed using SmartPLS statistical
software. PLS-SEM can achieve a higher level of
statistical power as it can utilise a smaller sample
size even in highly complex models, [55]. In
addition, the distribution of data does not need to be
normal for PLS-SEM analysis. PLS-SEM can use
the bootstrapping process to convert the non-
normally distributed data set into a normal
distribution, [56].
The measurement model and the structural
model are the two models that makeup PLS-SEM.
The measurement model represents the associations
between the observed items and the latent variables.
The structural model depicts the connections
between the latent variables. Thus, according to
[57], the PLS-SEM analysis entails two-step
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1975
Volume 20, 2023
procedures: the estimation of the measurement
model in the first step and the assessment of the
structural model in the second. Only once the first
phase has determined that the measurement model is
accurate and valid can the second step begin. In the
measurement model phase, a confirmatory factor
analysis (CFA) was initially carried out to see if the
observed variables accurately reflected the predicted
latent constructs (factors) using the covariance
matrix. The measurement's reliability for constructs
with reflective indicators (i.e., food safety, price,
and revisit intention) was examined using
Cronbach's alpha and composite reliability (CR).
Additionally, factor loadings and average variance
extracted (AVE) were checked to verify convergent
and discriminate validity. The construct with
formative indicators (i.e., satisfaction) was validated
by evaluating the Variance Inflation Factor (VIF),
convergent validity through redundancy analysis,
and the values of outer weights. Once the
measurement model was verified, the structural
model was then investigated using the bootstrapping
procedure to test the hypotheses. The statistical
analysis for this study was carried out using the
software packages SPSS 26 and SmartPLS 3.0.
4 Results
4.1 Demographic Profiles
Google Forms was distributed to obtain 291 usable
questionnaires. Women comprised 73.5% of the
responses, while men made up only 26.5%. Most of
the responses were young, ranging in age from 20 to
29 years (43.6%). Apart from that, the majority of
respondents completed higher-level education and
currently have a bachelor's degree (41.2%), a
postgraduate degree (27.8%), and a certificate or
diploma (25.1%). However, most of the respondents
are young and still studying (33.3%). Therefore,
their gross monthly earnings were less than
RM1500. The majority of the respondents (36.8%)
dine out once in a while, with most of them (51.2%)
dining in during dinner at independent (70.4%) and
casual full-service restaurants (97.9%).
4.2 Measurement Model
Associations between observable items and the
corresponding latent variables make up the
measurement model. The study, [58], identified two
categories of measurement models. The first type
of measurement model is the reflective construct, in
which observable items are indicators of latent
variables. The formative construct is the second type
of measurement model. In this construct, the
observable items determine the latent variables.
Except for satisfaction, all three variables in this
study, namely food safety, price fairness, and revisit
intentions are identified as reflective constructs. The
estimation of measurement models is a prerequisite
of the PLS-SEM analysis. The assessment is
necessary to effectively capture and measure the
latent variables, which serve as the foundation for
evaluating relationships in the structural model. The
next section is to estimate the reflective constructs.
4.2.1 Reflective Measurement Model Assessment
The latent variables of the reflective construct can
be manifested through the observable items, where
the arrows originate from the latent variables and
point to the observable items. The observable items
of a reflective construct are interchangeable,
correlated with one another, and can be deleted
without altering the meaning of the reflective
construct, [59]. To fit the construct's overarching
theory or concept, an observable item that does not
accurately reflect the latent variable can be
removed. Initial assessment of a measurement
model used confirmatory factor analysis (CFA). For
variables with reflective constructs (i.e., food safety,
price fairness, and revisit intention), every
observable item was put onto its latent variables,
and correlation between constructs was permitted
during the analysis, [57]. As suggested by, [58],
reflective constructs should be examined using four
tests: indicator reliability, internal reliability,
convergent validity, and discriminant validity.
The indicator reliability, a measurement of how
effectively the observable items reflect on the latent
variable, can be used to assess the reliability of the
reflecting construct. According to, [60], the outer
loadings of the observable items can be used to
estimate the indicator reliability. Since all of the
items had rather high standardised outer loadings on
their observable items, with values ranging from
0.801 to 0.938, all of the items demonstrated good
indicator reliability (Table 1).
The items' internal reliability was assessed using
Cronbach’s alpha and composite reliability. As
presented in Table 1, all three latent variables had
Cronbach's alpha and composite reliability values
higher than the minimum threshold of 0.70,
providing adequate internal consistency, [61].
Convergent validity measures the degree to
which an item positively correlates with other items
of the same construct, [35]. It can be assessed by
calculating the average variances of the observable
items of the impacted construct, or Average
Variance Extracted (AVE), [58]. The AVE value
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1976
Volume 20, 2023
must be larger than 0.50 for a construct to be
considered to have attained convergent validity. The
values of AVE for each construct are higher than the
cutoff point of 0.50, ensuring convergent validity
was attained, [62].
The level of item differentiation between
constructs that assess different concepts is known as
discriminate validity. Discriminant Validity occurs
when several items converge on one construct while
also being negatively correlated with opposing
constructs, [58]. By looking at the correlations
between the measurements of the probable
overlapping concept, the discriminant validity was
evaluated, [62]. The square roots of AVEs should be
larger than the other entries showing the
correlations, [62]. Based on the assessment results,
the items have demonstrated discriminant validity,
as indicated in Table 2.
Table 1. Results of the Assessment of Reflective
Measurement Model
Table 2. Discriminant Validity
4.2.2 Formative Measurement Model Assessment
In a formative construct, the indicators influence the
construct, where the arrows point to the particular
construct. This indicates that the construct is entirely
formed from its measurements and that the
measures themselves cause the construct. In this
research, customer satisfaction is caused by four
measures: quality of foods and beverages, quality of
restaurants’ services, restaurants’ environment, and
prices set by the restaurants (Table 3). An increase
in the quality of foods and beverages would increase
customer satisfaction even if there were no increases
in the quality of restaurants’ services, restaurants’
environments, or food prices. Therefore, satisfaction
would not require simultaneous changes in all of the
measurements. As suggested by, [62], formative
constructs should be examined using four tests:
convergent validity, collinearity of indicators, and
test for significance and relevance. To test the
existence of convergent validity, a redundancy
analysis, suggested by, [62], was conducted for the
particular construct (i.e., customer satisfaction). In
the redundancy analysis, a global single-item
measure with a generic assessment of the four
phenomena of customer satisfaction (i.e., quality of
foods and beverages, quality of restaurants’
services, restaurants’ environment, and prices set by
the restaurants) was used as the measure of the
dependent construct. It should be noted that a global
single-item measure (i.e., item S5 in Table 3) should
be included for each formative construct if the
questionnaire consists of formative constructs.
Table 3. Measurement Items for Satisfaction
shows the t-values were higher than the critical
values to establish significant outer weights at the
alpha 0.05 level of significance.
Table 4 shows that satisfaction was validated, and
convergent validity was established by the value of
the path coefficient of 0.852 from the redundancy
analysis exceeding the threshold value of 0.70, [63].
In addition, no collinearity among indicators was
detected, as proven by the values of Variance
Inflation Factor (VIF) less than 5, [62]. The
collinearity does not reach the critical level in the
formative construct, and further analysis of the
construct can be conducted using PLS-SEM. Lastly,
it is also proven that the values of the outer weights
are all significant and relevant from the
bootstrapping procedure using 5000 subsamples,
[62]. shows the t-values were higher than the critical
Code Items Loadings
Cronbach's
Alpha
Composite
Reliability
AVE
FS1
0.869 0.912 0.935 0.742
FS2
0.898
FS3
0.915
FS4
0.801
FS5
0.817
P1
The price of food at this restaurant is reasonable 0.924 0.96 0.969 0.861
P2
0.93
P3
0.935
P4
0.938
P5
0.913
RVI1
0.907 0.877 0.924 0.802
RVI2
0.897
RVI3
I prefer this restaurant over other restaurants. 0.883
Food safety Price Revisit Intention
Food safety 0.861
Price 0.809 0.928
Revisit Behaviour 0.636 0.671 0.896
S1 I am satisfied with the quality of food and beverage.
S2 I am satisfied with the restaurant’s service quality.
S3 I am satisfied with the restaurant’s environment.
S4 I am satisfied with the food prices set by the restaurant.
S5 Overall, I am satisfied with the restaurant.
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1977
Volume 20, 2023
values to establish significant outer weights at the
alpha 0.05 level of significance.
Table 4 shows the t-values were higher than the
critical values to establish significant outer weights
at the alpha 0.05 level of significance.
Table 4. Results of the Assessment of Formative
Measurement Model
4.3 Structural Model Assessment
The structural model is then assessed using the
bootstrapping procedure once the measurement
model has been evaluated. According to Table
5Table 5's structural model results, there is no
evidence that food safety has a significant impact on
revisit intention (β=0.090, t-value = 1.171, p>0.05).
In contrast, food safety positively and significantly
influenced satisfaction (= 0.303, t-value = 3.3.852,
p<0.05). Price fairness was likewise shown to have
no discernible effect on revisit intention, with a t-
value of 1.270 and β=1.103 at a p-value of 0.05.
Other than that, satisfaction was positive and
significantly influenced by price fairness (=0.579,
t-value=7.480 at p<0.05). Lastly, satisfaction had a
significant positive influence on the intention to
return (β=0.601, t-value=8.0, p=0.05). Except for
hypotheses H1 and H3, all other hypotheses (e.g.,
H2, H4, H5) were supported.
Table 5. Results of the Structural Model
*p<0.05
4.5 Test of Mediating Effect
Mediation analysis was performed to evaluate the
role of satisfaction as a mediator variable in the
relationship between food safety and revisit
intention. The results (Refer to Table 6) revealed a
significant indirect effect of food safety and revisit
intention (=0.182, t-value = 3.848, p<0.05). The
direct effect of price fairness on revisit intention was
insignificant (=0.09, t-value =1.171, p>0.05). This
shows that satisfaction fully mediates the
relationship between food safety and revisit
intention. Hence, H6 was supported.
Table 6. A mediation analysis of Satisfaction on the
Relationship between Food Safety and Revisit
Intention
Mediation analysis was also performed to assess
the mediating role of satisfaction in the relationship
between price fairness and revisit intention. The
results (Refer to Table 7) indicated a significant
indirect effect on price fairness and revisit intention
(=0.348, t-value=5.791, p<0.05). The direct effect
of price fairness on revisit intention was
insignificant (=0.103, t-value=1.27, p>0.05). This
shows that satisfaction fully mediates the
relationship between price fairness and revisit
intention. Thus, H7 was supported. Lastly, a
mediation analysis of Satisfaction on the
Relationship between Price Fairness and Revisit
Intention is presented in Table 7.
Table 7. A mediation analysis of Satisfaction on the
Relationship between Price Fairness and Revisit
Intention
5 Discussions and Research
Implications
The findings of this study show that food safety and
price fairness significantly and positively affect
customer satisfaction with full-service restaurants,
respectively. The results of this study support
previous research conducted by, [17], [32].
Customers were happy with the level of food safety
and price fairness at the restaurants, which
Items
Outer
Weights
t value p Value
Outer
Loadings
VIF
S1 0.285 3.868 0.000 0.916 3.822
S2 0.265 3.128 0.002 0.906 4.495
S3 0.164 2.048 0.041 0.880 3.678
S4 0.395 5.523 0.000 0.897 2.374
Hypothesis Relationships b t-value p-value Decision
H1 Food safety -> Revisit Intention 0.090 1.171 0.242 Not supported
H2 Food safety -> Satisfaction 0.303 3.852 0.000 Supported*
H3 Price fairness-> Revisit Intention 0.103 1.270 0.208 Not supported
H4 Pricefairness -> Satisfaction 0.579 7.480 0.000 Supported*
H5 Satisfaction -> Revisit Intention 0.601 8.00 0.000 Supported*
Coefficient t-value p-value Coefficient t-value p-value Lower Upper
0.09 1.171 0.242 0.182 3.484 0.001 0.09 0.29
Direct effect
Indirect effect
Percentile bootstrap
95% confidence
Coefficient t-value p-value Coefficient t-value p-value Lower Upper
0.103 1.27 0.204 0.348 5.791 0.000 0.24 0.474
Direct effect
Indirect effect
Percentile bootstrap
95% confidence
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1978
Volume 20, 2023
contributed to their satisfaction. Customers will be
satisfied if the outcome exceeds expectations, [64].
However, the t-value for food safety is smaller
compared to price fairness, suggesting that food
safety is not the most important factor concerning
customer satisfaction. Customer satisfaction was
also found to have a strong and significant positive
influence on revisit intention. Thus, customer
satisfaction is an important factor that keeps
customers from revisiting full-service restaurants. In
contrast, food safety and price fairness were found
to have no significant influence on customer revisit
intention. The results do not support the studies by
[11], [65].
Based on the mediation analysis, the
relationships between food safety, revisit intention,
and price fairness was fully mediated by customer
satisfaction. These relationships support the
Stimulus-Organism-Response (SOR) Theory
developed by, [25]. Therefore, restaurant operators
need to improve the level of food safety and price
fairness to confirm their customers are satisfied and
return to the restaurant. Customers who feel the
foods prepared are safe and the prices charged are
fair will be satisfied and revisit the restaurants in the
future. Increasing consumer awareness and
education about food safety is important in ensuring
customers have adequate knowledge to protect
themselves from any food-borne illnesses caused by
lapses in preparing food at restaurants. Apart from
that, frequent monitoring by government officials in
charge of prices should be conducted to ensure
restaurants do not overcharge their customers. From
a managerial perspective, it is essential to recognise
how customers are affected by the level of price
charged by restaurants. Customers are price-
sensitive and are anxious about the price of food
when dining out. If they perceive an unfair price
being charged, they will not hesitate to switch to
another restaurant. Nevertheless, even with the high
rate of inflation, customers’ rights should be
protected.
6 Limitations of the Research and
Recommendations for Future
Research
This study adds to the literature on full-service
restaurants in several ways, but it also has several
unavoidable limitations. The distribution of
respondents' socioeconomic and demographic traits
was not uniform. It is because data collection was
conducted via an online survey due to the movement
control order (MCO) during the COVID-19
pandemic, which restricted the data collection
process. Only respondents who have access to the
Internet answered the questionnaire. A future study
should revisit the research questions with a
comparable sample size and more diverse
respondents from different backgrounds.
This study only looked at three independent
variables related to customer revisit intention in a
full-service restaurant in Malaysia. Therefore, the
future study can examine other independent
variables such as food quality, restaurant image, and
halal marketing compliance to obtain precise and
reliable data that may predict customer revisit
intention towards full-service restaurants.
7 Conclusion
This study confirms that the effect of food safety
and price fairness on customer revisit intention
towards full-service restaurants was mediated by
satisfaction. The results indicate that for customers
to revisit full-service restaurants, they must be
satisfied with the level of food safety and the price
charged by the restaurant operators. The results of
the study found that price fairness is the most
important predictor of satisfaction with full-service
restaurants compared to food safety. It is because
Malaysian customers are concerned about the
increase in food prices and expect to gain a high
benefit from the price they pay. In terms of food
safety, restaurant operators should ensure that all
facets of their performance in terms of food safety
are consistently up to par and maintained by
creating and implementing a thorough food safety
management program.
In conclusion, for a restaurant to enhance
consumer revisit intention, it is vital to identify the
main factors that may influence this variable.
Revisit intention can be observed when the
customers decide to remain with or defect from the
restaurants. To stay competitive in the market,
revisit intention plays an important role in the future
success of the restaurant industry. Learning and
understanding the important factors that may
influence the customer to revisit full-service
restaurants enables restaurant operators to formulate
or develop efficient marketing strategies to entice
customers to eat at their restaurants.
Acknowledgment:
The research was supported by the Ministry of
Higher Education (MOHE) of Malaysia through
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1979
Volume 20, 2023
Fundamental Research Grant Scheme
(FRGS/1/2020/SS01/UUM/02/20).
References:
[1] R. Shalini, “60% of eateries risk permanent
shutdown if dine-in ban continues, say F&B
groups | The Star,The Star, 2021.
[2] B. Pradhan, “24 Jun 2021 Malaysian
foodservice profit market to grow by a
CAGR of 10.9% driven by economic
rebound, says GlobalData, pp. 20202022,
2021, Accessed: Jul. 17, 2022. [Online].
Available:
https://www.globaldata.com/malaysian-
foodservice-profit-market-grow-cagr-10-9-
driven-economic-rebound-says-globaldata/
[3] J. Min, K. Yang, and J. Kim, “The role of
perceived vulnerability in restaurant
customers’ co-creation behavior and
repatronage intention during the COVID-19
pandemic,” Journal of Vacation Marketing,
2021, doi: 10.1177/13567667211014932.
[4] M. H. A. Rashid, M. I. Hamzah, N. D. M.
Shobri, and N. Hashim, “A Review on Full
Service Restaurants in Malaysia,”
International Tourism and Hospitality
Journal, vol. 2, no. 2, pp. 16, 2019.
[5] W. N. Wan Hanafi, S. N. Toolib, Z. Zulkifle,
and S. Daud, “Determinants of Food Safety
Attributes among Food Truck Operators in
Malaysia,” Global Business and
Management Research: An International
Journal, vol. 13, no. 4s, pp. 719729, 2021.
[6] L. E. Lee, O. Niode, A. H. Simonne, and C.
M. Bruhn, “Consumer perceptions on food
safety in Asian and Mexican restaurants,”
Food Control, vol. 26, no. 2, pp. 531538,
2012, doi: 10.1016/j.foodcont.2012.02.010.
[7] C. Y. New et al., “Microbiological food
safety in Malaysia from the academician’s
perspective,” Food Res, vol. 1, no. 6, pp.
183202, 2017, doi: 10.26656/fr.2017.6.013.
[8] S. M. Abdullah, “Kelantan logs 64 food
poisoning cases,” New Straits Times, May
22, 2022.
https://www.nst.com.my/news/nation/2022/0
4/786161/kelantan-logs-64-food-poisoning-
cases (accessed May 26, 2023).
[9] A. J. Knight, M. R. Worosz, and E. C. D.
Todd, “Dining for safety: Consumer
perceptions of food safety and eating out,”
Journal of Hospitality and Tourism
Research, vol. 33, no. 4, pp. 471486, 2009,
doi: 10.1177/1096348009344211.
[10] D. Abdullah, S. Ismail, B. Mohamed, A.
Mardhiah, and M. Rostum, “The Influence
Of Food Quality, Service Quality, Fair Price
And Customer Satisfaction On Re-Patronage
Intention Towards Halal Certified
Restaurants,” IIUM Press, no. July, 2018.
[11] A. C. Cakici, Y. Akgunduz, and O. Yildirim,
“The impact of perceived price justice and
satisfaction on loyalty: the mediating effect
of revisit intention,” Tourism Review, vol.
74, no. 3, pp. 443462, 2019, doi:
10.1108/TR-02-2018-0025.
[12] E. Abu Yamin, “Harga makanan di gerai
makan, restoran naik hingga 40 peratus,” BH
Online, Jan. 23, 2023.
https://www.bharian.com.my/berita/nasional/
2023/01/1055351/harga-makanan-di-gerai-
makan-restoran-naik-hingga-40-peratus
(accessed May 29, 2023).
[13] J. Hanaysha, “Restaurant Location and Price
Fairness as Key Determinants of Brand
Equity: A Study on Fast Food Restaurant
Industry,” Business and Economic Research,
vol. 6, no. 1, p. 310, 2016, doi:
10.5296/ber.v6i1.9352.
[14] E. Abu Yamin, “Pengusaha gerai, restoran
naikkan harga makanan sehingga 40
peratus,” BH Online, Jan. 23, 2023.
https://www.bharian.com.my/berita/nasional/
2023/01/1055364/pengusaha-gerai-restoran-
naikkan-harga-makanan-sehingga-40-peratus
(accessed May 29, 2023).
[15] D. Jani and H. Han, “Investigating the key
factors affecting behavioral intentions:
Evidence from a full-service restaurant
setting,” International Journal of
Contemporary Hospitality Management, vol.
23, no. 7, pp. 10001018, 2011, doi:
10.1108/09596111111167579.
[16] V. Marinkovic, V. Senic, D. Ivkov, D.
Dimitrovski, and M. Bjelic, “The antecedents
of satisfaction and revisit intentions for full-
service restaurants,” Marketing Intelligence
and Planning, vol. 32, no. 3, pp. 311327,
2014, doi: 10.1108/MIP-01-2013-0017.
[17] J. M. Sulek and R. L. Hensley, “The relative
importance of food, atmosphere, and fairness
of wait: The case of a full-service
restaurant,” Cornell Hotel and Restaurant
Administration Quarterly, vol. 45, no. 3, pp.
235247, 2004, doi:
10.1177/0010880404265345.
[18] K. Severt, Y. H. Shin, H. S. Chen, and R. B.
DiPietro, “Measuring the Relationships
between Corporate Social Responsibility,
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1980
Volume 20, 2023
Perceived Quality, Price Fairness,
Satisfaction, and Conative Loyalty in the
Context of Local Food Restaurants,”
International Journal of Hospitality and
Tourism Administration, vol. 00, no. 00, pp.
123, 2020, doi:
10.1080/15256480.2020.1842836.
[19] W. N. Wan Nawawi, W. N. B. Wan
Kamarudin, A. Mat Ghani, and A. M.
Adnan, “Influence of Theme Restaurant
Atmospheric Factors Towards Customers’
Revisit Intention, Environment-Behaviour
Proceedings Journal, vol. 3, no. 7, pp. 06,
2018, doi: 10.21834/e-bpj.v3i7.1231.
[20] A. A. Al-Tit, “The effect of service and food
quality on customer satisfaction and hence
customer retention,” Asian Soc Sci, vol. 11,
no. 23, pp. 129139, 2015, doi:
10.5539/ass.v11n23p129.
[21] P. G. Ing, N. Zheng Lin, M. Xu, and R.
Thurasamy, “Customer loyalty in Sabah full
service restaurant,” Asia Pacific Journal of
Marketing and Logistics, vol. 32, no. 7, pp.
14071429, Oct. 2020, doi:
10.1108/APJML-07-2019-0437.
[22] Y. Ji, W. S. Lee, and J. Moon, “Café Food
Safety and Its Impacts on Intention to Reuse
and Switch Cafés during the COVID-19
Pandemic: The Case of Starbucks,” Int J
Environ Res Public Health, vol. 20, no. 3,
Feb. 2023, doi: 10.3390/ijerph20032625.
[23] J. Shim, J. Moon, M. Song, and W. S. Lee,
“Antecedents of purchase intention at
starbucks in the context of covid-19
pandemic,” Sustainability (Switzerland), vol.
13, no. 4, pp. 114, Feb. 2021, doi:
10.3390/su13041758.
[24] E. , Mariyanti et al., “Examining the Effect
of Perceived Price Fairness on Revisit
Intention of Local Guests Sharia Hotel:
Customer Satisfaction as Mediation,” Adv
Soc Sci Res J, vol. 10, no. 2, pp. 316330,
Feb. 2023, doi: 10.14738/assrj.102.13983.
[25] J. Albert. Mehrabian Russell, An approach to
environmental psychology. [Cambridge,
Mass.: [MIT Press], 1974.
[26] C. Liu, Z. Bao, and C. Zheng, “Exploring
consumers’ purchase intention in social
commerce: An empirical study based on
trust, argument quality, and social presence,”
Asia Pacific Journal of Marketing and
Logistics, vol. 31, no. 2, pp. 378397, 2019,
doi: 10.1108/APJML-05-2018-0170.
[27] N. Mkedder, M. Bakir, and A. Lachachi,
“Investigating the Antecedents of Purchase
Intention Toward Local Dairy Products: An
Empirical Study Based on the SOR Model,”
Central European Management Journal, vol.
29, no. 4, pp. 124148, 2021, doi:
10.7206/cemj.2658-0845.62.
[28] R. L. Oliver and W. S. Desarbo, “Response
Determinants in Satisfaction Judgments
Downloaded from,” 1988. [Online].
Available: http://jcr.oxfordjournals.org/
[29] E. T. Maziriri, T. F. Rukuni, and T. Chuchu,
“Factors influencing food consumption
satisfaction and purchase decisions of
restaurant consumers,” Cogent Business and
Management, vol. 8, no. 1, 2021, doi:
10.1080/23311975.2021.1968731.
[30] A. R. Julaimi and S. A. Talib, “International
tourists revisit intention: a case of the United
Arab Emirates,” Journal of Tourism,
Hospitality & Culinary Arts, vol. 8, no. 1,
pp. 35-42, 2016.
[31] H. Purnomo, “Food safety in hospitality
industry,” no. May, 2014.
[32] J. M. Cha and C. P. Borchgrevink,
“Customers’ perceptions in value and food
safety on customer satisfaction and loyalty in
restaurant environments: moderating roles of
gender and restaurant types,” Journal of
Quality Assurance in Hospitality and
Tourism, vol. 00, no. 00, pp. 119, 2018, doi:
10.1080/1528008X.2018.1512934.
[33] U. Z. A. Ungku Fatimah, H. C. Boo, M.
Sambasivan, and R. Salleh, “Foodservice
hygiene factors-The consumer perspective,”
Int J Hosp Manag, vol. 30, no. 1, pp. 3845,
2011, doi: 10.1016/j.ijhm.2010.04.001.
[34] A. Ahmad and A. Simonne, “Serving food
safety: consumer perceptions of food safety
at restaurants Serving food safety : consumer
perceptions of food safety at restaurants,”
2007, doi: 10.1108/09596110710775138.
[35] M. Abdul et al., “The Effect of Knowledge,
Food Safety and Lifestyle Towards
Consumers Purchase Intention of Halal
Food at Restaurants The Effect of
Knowledge, Food Safety and Lifestyle
Towards Consumers’ Purchase Intention of
Halal Food at Restaurants,” International
Journal of Academic Research in Business
and Social Sciences, vol. 11, no. 7, pp.
10561068, 2021, doi:
10.6007/IJARBSS/v11-i7/10579.
[36] P. Chaturvedi, K. Kulshreshtha, V. Tripathi,
and D. Agnihotri, “Investigating the impact
of restaurants’ sustainable practices on
consumers’ satisfaction and revisit
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1981
Volume 20, 2023
intentions: a study on leading green
restaurants,” Asia-Pacific Journal of
Business Administration, 2022, doi:
10.1108/APJBA-09-2021-0456.
[37] S. H. Chun and A. Nyam-Ochir, “The effects
of fast food restaurant attributes on customer
satisfaction, revisit intention, and
recommendation using DINESERV scale,”
Sustainability (Switzerland), vol. 12, no. 18,
pp. 119, 2020, doi: 10.3390/SU12187435.
[38] S. Ahmed, A. Al Asheq, E. Ahmed, U. Y.
Chowdhury, T. Sufi, and M. G. Mostofa,
“The intricate relationships of consumers’
loyalty and their perceptions of service
quality, price and satisfaction in restaurant
service,” TQM Journal, 2022,
doi: 10.1108/TQM-06-2021-0158.
[39] A. Ahmed, “Factors affecting Customer
Retention in the Restaurant Industry:
Moderating Role of Restaurant Location,
IBT Journal of Business Studies, vol. 15, no.
2, pp. 95108, 2019,
doi: 10.46745/ilma.jbs.2019.15.02.07.
[40] L. Xia, K. B. Monroe, and J. L. Cox, “The
price is unfair! A conceptual framework of
price fairness perceptions,” J Mark, vol. 68,
no. 4, pp. 115, 2004,
doi: 10.1509/jmkg.68.4.1.42733.
[41] R. L. Oliver, Satisfaction: A Behavioral
Perspective on the Consumer. New York:
McGraw-Hill, 1997.
[42] J. F. Petrick, D. D. Morais, and W. C.
Norman, “An examination of the
determinants of entertainment vacationers’
intentions to revisit,” J Travel Res, vol. 40,
no. 1, pp. 4148, 2001,
doi: 10.1177/004728750104000106.
[43] S. Susanta, H. Widjanarko, H. S. Utomo, and
S. Suratna, “The Role of Satisfaction as
Mediation Influence Relational Benefits
against Bank Customer Commitment:
Survey on Institutional Customers,” vol. 292,
no. Agc, pp. 484491, 2019,
doi: 10.2991/agc-18.2019.71.
[44] H. Han and S. S. Hyun, “Impact of hotel-
restaurant image and quality of physical-
environment, service, and food on
satisfaction and intention,” Int J Hosp
Manag, vol. 63, pp. 8292, 2017,
doi: 10.1016/j.ijhm.2017.03.006.
[45] A. A. Al-Tit, “The effect of service and food
quality on customer satisfaction and hence
customer retention,” Asian Soc Sci, vol. 11,
no. 23, pp. 129139, 2015,
doi: 10.5539/ass.v11n23p129.
[46] M. Mannan, N. Chowdhury, P. Sarker, and
R. Amir, “Modeling customer satisfaction
and revisit intention in Bangladeshi dining
restaurants,” Journal of Modelling in
Management, vol. 14, no. 4, pp. 922947,
2019, doi: 10.1108/JM2-12-2017-0135.
[47] F. A. Konuk, “The influence of perceived
food quality, price fairness, perceived value
and satisfaction on customers’ revisit and
word-of-mouth intentions towards organic
food restaurants,” Journal of Retailing and
Consumer Services, vol. 50, no. March, pp.
103110, 2019,
doi: 10.1016/j.jretconser.2019.05.005.
[48] H. M. Nguyen, L. A. T. Dang, and T. T.
Ngo, “The effect of local foods on tourists
recommendations and revisit intentions: The
case in Ho Chi Minh City, Vietnam,”
Journal of Asian Finance, Economics and
Business, vol. 6, no. 3, pp. 215223, Aug.
2019,
doi: 10.13106/jafeb.2019.vol6.no3.215.
[49] P. Liu and Y. M. Lee, “An investigation of
consumers’ perception of food safety in the
restaurants,” Int J Hosp Manag, vol. 73, pp.
2935, Jul. 2018,
doi: 10.1016/j.ijhm.2018.01.018.
[50] M. Mannan, Md. F. Mohiuddin, N.
Chowdhury, and P. Sarker, “Customer
satisfaction, switching intentions, perceived
switching costs, and perceived alternative
attractiveness in Bangladesh mobile
telecommunications market,” South Asian
Journal of Business Studies, vol. 6, no. 2, pp.
142160, 2017,
doi: 10.1108/sajbs-06-2016-0049.
[51] M. R. H. Polas, V. Raju, S. M. Hossen, A.
M. Karim, and M. I. Tabash, “Customer’s
revisit intention: Empirical evidence on Gen-
Z from Bangladesh towards halal
restaurants,” J Public Aff, no. March, 2020,
doi: 10.1002/pa.2572.
[52] M. binti Amat, N. binti M. Asshari, and V. P.
K. Sundram, “The Influence of Muslim
Consumer’s Perception Toward Halal Food
Product on Attitude at Retail Stores,” SSRN
Electronic Journal, pp. 120, 2014,
doi: 10.2139/ssrn.2541203.
[53] M. Serhan and C. Serhan, “The Impact of
Food Service Attributes on Customer
Satisfaction in a Rural University Campus
Environment,” Int J Food Sci, vol. 2019,
2019, doi: 10.1155/2019/2154548.
[54] F. , Faul, E. , Erdfelder, A. , Buchner, and A.
G. (2009). Lang, “Statistical power analyses
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1982
Volume 20, 2023
using G* Power 3.1: Tests for correlation
and regression analyses.,” Behav Res
Methods, vol. 41, no. 4, pp. 1149-1160,
2009.
[55] C. B. Astrachan, V. K. Patel, and G.
Wanzenried, “A comparative study of CB-
SEM and PLS-SEM for theory development
in family firm research,” Journal of Family
Business Strategy, vol. 5, no. 1, pp. 116128,
Mar. 2014, doi: 10.1016/j.jfbs.2013.12.002.
[56] S. Streukens and S. Leroi-Werelds,
“Bootstrapping and PLS-SEM: A step-by-
step guide to get more out of your bootstrap
results,” European Management Journal,
vol. 34, no. 6, pp. 618632, Dec. 2016,
doi: 10.1016/j.emj.2016.06.003.
[57] J. C. Anderson and D. W. Gerbing,
“Structural equation modeling in practice: A
review and recommended two-step
approach.,” Psychological Bulletin, vol. 103.
pp. 411423, 1988.
[58] J. F. Hair, M. Sarstedt, L. Hopkins, and V.
G. Kuppelwieser, “Partial least squares
structural equation modeling (PLS-SEM):
An emerging tool in business research,”
European Business Review, vol. 26, no. 2.
Emerald Group Publishing Ltd., p. 106121,
2014. doi: 10.1108/EBR-10-2013-0128.
[59] A. Diamantopoulos and H. M. Winklofer,
“Index Construction with Formative
Indicators: An Alternative to Scale
Development,” Journal of Marketing
Research, vol. 38, no. May 2002, p. 269
277, 2001.
[60] C. Fornell and D. F. Larcker, “Structural
Equation Models with Unobservable
Variables and Measurement Error: Algebra,”
1981.
[61] J. C. Nunnally and I. H. Bernstein,
“Psychometric theory.” : McGraw-Hill, New
York, 1994.
[62] J. F. Hair, G. T. M. Hult, C. M. Ringle, and
M. Sarstedt, A Premier on Partial Least
Squares Structural Equation Modeling (PLS-
SEM). Thousand Oaks, California, USA:
Sage Publications, 2014.
[63] Hair, J.F, Neil, G. T. M. Hult, C. M. Ringle,
M. Sarstedt, and K. O. Thiele, “Mirror,
mirror on the wall: a comparative evaluation
of composite-based structural equation
modeling methods,” J Acad Mark Sci, vol.
45, no. 5, pp. 616632, 2017, doi:
10.1007/s11747-017-0517-x.
[64] R. L. Oliver, “Satisfaction: A Behavioral
Perspective on the Consumer.” McGraw-
Hill, New York, 1997.
[65] I. Ismail, N. A. Nik Abdullah, Z. Ahmad,
and N. L. Sidek, “Halal Principles and Halal
Purchase Intention Among Muslim
Consumers,” Proceedings of the 3rd
International Halal Conference (INHAC
2016), no. November, pp. 131138, 2018,
doi: 10.1007/978-981-10-7257-4_12.
Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
- Yaty Sulaiman, Nik Kamariah Nik Mat carried
out the data collection.
- Yaty Sulaiman, Nik Kamariah Nik Mat, and
Zuraida Hassan have conducted the write-up on
the literature review
- Maria Abdul Rahman was responsible for the
Statistical Analysis and write-up on the
methodology and analysis.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
The research was supported by the Ministry of
Higher Education (MOHE) of Malaysia through
Fundamental Research Grant Scheme
(FRGS/1/2020/SS01/UUM/02/20).
Conflict of Interest
The authors have no conflict of interest to declare.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
_US
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.172
Maria Abdul Rahman, Yaty Sulaiman,
Nik Kamariah Nik Mat, Zuraida Hassan
E-ISSN: 2224-2899
1983
Volume 20, 2023