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Article

Halal-Friendly Attributes and Muslims’ Visit Intention: Exploring the Roles of Perceived Value and Destination Trust

by
Ammarn Sodawan
1,2 and
Robert Li-Wei Hsu
3,*
1
Graduate Institute of Tourism Management, National Kaohsiung University of Hospitality and Tourism, Kaohsiung City 81271, Taiwan
2
Tourism Management Program, Faculty of Commerce and Management, Prince of Songkla University, Trang Campus, Trang 92000, Thailand
3
International Master’s Program of Tourism and Hospitality Management, National Kaohsiung University of Hospitality and Tourism, Kaohsiung City 81271, Taiwan
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(19), 12002; https://doi.org/10.3390/su141912002
Submission received: 15 August 2022 / Revised: 12 September 2022 / Accepted: 14 September 2022 / Published: 22 September 2022
(This article belongs to the Special Issue Culture, Tourism and Leisure Behavior)

Abstract

:
Halal tourism is pushed by the growth of the Muslim population worldwide. This present study aimed to examine the association between constructs of halal-friendly attributes, perceived value, destination trust, and visit intention and investigate the mediation effect of perceived value and destination trust in Muslims’ visit intention. The SOR (stimulus–organism–response) model was employed, and halal-friendly attributes were investigated as a stimulus that impacts Muslims’ perceived value and destination trust (organism) and leads to visit intention (response). These data were gathered from a sample of 307 Muslims. This study examined the proposed conceptual framework via PLS-SEM. The findings of this present study reveal the impact of halal-friendly attributes on perceived value and destination trust and the mediating role of perceived value and destination trust in the relationship between environmental factors (i.e., halal-friendly attributes) and visit intention in a non-Islamic country. This study’s original contribution is that it explores the antecedents of environmental factors by examining the extended S–O–R model in a halal.

1. Introduction

Halal tourism is driven by the growth of the Muslim population worldwide [1]. From 2015 to 2060, the world’s Muslim population is expected to grow by 32%, but the Muslim population is expected to increase by 70% in 2060 [2]. Muslim people are estimated to increase by 2.19 billion by 2030 (the Christian population is estimated to be 2.24 billion) [3]. Recently, a third of the world’s population practiced Islam which makes it one of the most influential religions in the world [4,5]. As the Muslim population has increased, the global tourism market has shifted its behavioral interest to halal tourism to meet the perception of halal tourism services [6]. Individual Muslims must comply with the Shari’ah (according to their guideline) and Al-Quran and Sunnah (Islamic teaching and approaches of Prophet Muhammad) [7]. Muslims follow Islamic teaching in all aspects of Muslim life and are influenced by Shari’ah even when traveling [4,8].
Much of the halal tourism literature has studied halal experience [1], halal values [9], and Islamic values [10]. There is a lack of studies investigating the impact of halal-friendly attributes on Muslims’ perceptions [11]. According to Nawi et al. [12], Islamic physical attributes and Islamic beliefs influence brand image and consumer satisfaction. The satisfaction of Muslims is significantly influenced by halal values such as Islamic physical and non-physical attributes [9]. The antecedents (i.e., Islamic physical and non-physical attributes) impact an individual’s cognitive and affective halal-friendly attributes [11]. Halal-friendly attributes can enhance the positive image of Muslims [13]. Therefore, while studying the halal-friendly attributes of Muslims’ perceptions such as this present study, it is crucial to consider the antecedents of halal-friendly attributes.
Halal-friendly attributes are considered the requirements of Islamic practice [14]. In the tourism sector, the Islamic attributes of destinations are presented as the factors that attract Muslims to destinations and the elements that enhance a destination’s value [15]. Several studies have focused on the perception of Muslims that halal-friendly attributes toward a destination affect the perceptions of Muslims’ and their evaluation of the destination [13,16]. Jeaheng et al. [17] found that halal-friendly attributes can motivate positive perceptions of a hotel’s halal attributes and strengthen behavior outcomes. Muslims will not travel if the destination does not have the facilities to support them, such as halal products and services [18]. In the halal tourism context, studies have shown that Muslims evaluate the antecedents of halal on their attitudes or perceptions and decision-making processes [1,17,19,20,21,22]. It is to the best of our knowledge that no pertinent research has been conducted to evaluate Muslims’ perspectives on halal-friendly attributes and their response in non-Islamic countries.
Numerous studies have reported that perceived value positively influences tourists’ intention to visit [23,24,25]. Additionally, Cheng et al. [26] found that perceived value mediates the relationship between tour guide interpretation services and visit intentions. However, their empirical investigation focused on the significant impact of perceived value. Moreover, very little empirical research has focused on the role of Muslims’ perceived value in the relationship between halal-friendly attributes and Muslims’ intention to visit non-Islamic countries.
In tourism, trust is derived from the cognitive perspective of the destination and is more likely to cause the intention to visit [27]. Previous studies have revealed that destination trust is important to understanding consumers’ perceptions. Numerous studies have examined the ways in which the antecedents (i.e., perceived group relative deprivation, perceived authenticity, and destination image) positively influence destination trust [27,28,29]. Additionally, Su et al. [30] found that destination trust mediates the relationship between the antecedents (i.e., monetary sunk cost and temporal sunk cost) and visit intention. Therefore, previous studies have shown the positive results of the antecedent on destination trust, but little research has examined how Muslims develop their trust in the non-Islamic destination [31]. Furthermore, only a limited amount of empirical research has investigated the mediating role of destination trust between halal-friendly attributes and Muslims’ intention to visit non-Islamic countries.
To fill this gap, halal-friendly attributes have been examined through the stimulus–organism–response (SOR) model, the most potent model for understanding consumers’ decision making and responses [32]. However, the important aspects of this model are the external environment (stimulus) around the person who is related to the decision on the internal state (organism), which, in turn, influences the behavioral reaction (response) [33,34]. This present study had the following objectives: (1) to examine the association between halal-friendly attributes, perceived value, destination trust, and visit intention; (2) to investigate the mediation effect of perceived value and destination trust in Muslims’ visit intention toward halal-friendly attributes.

2. Literature Review

2.1. The S–O–R Model

Mehrabian and Russell [32] established the influential model of the environmental factors on behavioral outcomes called the S–O–R model. The model considers that consumers’ reaction to the physical environment consists of three steps: stimulus, organism, and response. Stimulation in the external environment around the person is related to decisions that affect their internal state [35]. Organism refers to a person’s internal state, including feelings, emotions, and cognitive behaviors [10,36]. Response refers to the behavioral reaction caused by stimuli in an organism’s external environment and internal processes, including psychological attitudes or behavioral reactions [37]. The S–O–R model describes the elements of the external environment (stimulus, S) that influence a person’s internal state (organism, O), which determines their behavior against the environment (Response, R). The present study was based on the S–O–R model, which is particularly studied in the context of halal tourism. Halal tourism is also termed a “halal-friendly attribute,” which explains “Muslim tourists as Shariah-compliant included products and services that complied with Islamic rules including hotel staff attitudes and uniforms, segregated male and female facilities, decoration, design, environment, and financial systems” [17]. Halal-friendly attributes provide facilities such as prayer rooms [17], halal cuisine [38], separate recreational facilities [39], conservative staff dress [18], and the banning of gambling [40].

2.2. Stimulus: Halal-Friendly Attributes

Halal is based on the Arabic language and means permissible or allowable [8,41], derived from the Quran and the Prophet’s Hadith (reported sayings of the Prophet Mohamed) [37]. Halal-friendly attributes can be divided into Islamic physical attributes, and non-physical attributes [10,37]. Eid [42] stated that Muslims decide to buy tourism products or services that are influenced by Islamic values, including Islamic physical and non-physical attributes. Islamic physical attributes (tangible dimensions) stimulate the internal responses to how tangible forms of hospitality are created and consumed. Islamic non-physical attributes (intangible dimensions) are explained as Muslims’ interactions with hospitality traditionally concerning aspects of congeniality and reverence in the halal-friendly attributes, which can facilitate successful Muslim encounters and improve the Muslim experience [43]. The halal-friendly attributes in the halal tourism context are discussed in detail below.

2.2.1. Islamic Physical Attributes

Islamic physical attributes (tangible dimensions) explain the appearance of Islamic physical attributes, including equipment, service areas, personnel, and communication materials [44]. These are well-planned to fulfill the terms, functions, and properties of the halal-friendly attributes for Muslims [45]. If the properties of the halal-friendly attributes are well managed, these will become positive attributes (attractive to a destination). In contrast, if they are not organized well, these will become negative attributes (a disincentive to attract to a destination) [46]. Jeaheng et al. [22] particularly revealed that the halal-friendly hotel is an environmental factor for Muslims that influences their visit intention and allows them to use facilities with ease and convenience. Islamic physical attributes are incorporated into facilities such as prayer rooms [17], halal cuisine [47], halal-friendly toiletries [48], no alcohol served [49], no pork permitted [50], separate leisure options [18], and beds facing away from Makkah [43].

2.2.2. Islamic Non-Physical Attributes

The Muslims’ perception of the external environment is not only in terms of Islamic physical attributes but also in terms of Islamic non-physical attributes in halal-friendly attributes [51]. Islamic non-physical attributes are intangible functions of Muslims that comply with Islamic teaching [39]. The value of Islamic teachings as intangibles that Muslims hold impacts the decision-making process when selecting the external environment [49]. Many previous halal tourism studies have addressed the importance of Islamic non-physical attributes on Muslim interactions [17,39,52]. Papastathopoulos et al. [52] examined the perception of Muslims and their response toward the environment considering the Islamic non-physical attributes of Muslims’ intention to visit. The accessibility of non-physical Islamic attributes is bolstered by separate recreational facilities [39], conservative staff dress [18], banning of gambling [53], Muslim-friendly television and entertainment, [17] as well as Islamic-friendly decoration or art [54].

2.3. Organism

Organism in the S–O–R model explains a person’s internal state, including feelings, emotions, and cognitive behaviors, which are stimulated by the external and internal environment [55,56,57]. Ledoux [58] suggested that the response of stimulus from the external and internal environment of the organism consists of three types connected by physiology, cognition, and emotion. Physiological signals are comprised of autonomic, humoral, or somatic signals. The cognitive element “is required to interpret the physiological condition concerning the physical and social environment” [58]. The emotional response is expressive and evaluative. According to previous studies that extended the S–O–R model, the organism constructs are evaluated by using different constructs, such as cultural memory [59], emotions [60,61], satisfaction [62,63,64], perceived value [65], and trust [66]. Mursid and Wu [67] investigated the organism of the S–O–R model and stated that Muslim’s perceived value is stimulated by halal destination attributes. Another organism was evaluated by the authors of [68], the antecedents of trust as an organism on behavior outcomes, and they examined the key antecedents of service employee self-efficacy effects on customers’ trust.

2.3.1. Perceived Value

Perceived value refers to the consumers’ overall evaluation of the unity of a tangible or intangible product based on what they receive (i.e., the benefits they received from the service provider) and what they give (i.e., the price they pay for the service) [69,70]. Perceived value is associated with an individual’s subjective cognition concerning an aspect of thoughts about themselves [71]. It can be described as a self-concept of cognitive structures that allow the individual to represent him/herself [72]. Consumers acquire knowledge about themselves through external environmental factors [73]. Then, they tend to facilitate information processing between their understanding and external environmental factors. An important factor that influences consumer behavior is the perceived value [74], including halal-friendly destination attributes and consumer behavior [75]. Previous studies have supported the relationship between the antecedents of external environment factors and behavioral intentions, such as core resources and attraction [66], tourism attraction [76], environmental risk [77], and halal experience [1].
Lestari et al. [66] addressed the importance of the relationship between halal destination management and perceived value, impacting Muslims’ perceived value of intention to visit. Mursid and Anoraga [75] found that the congruence between halal-friendly destination attributes and perceived value contributes to an individual Muslim’s perception of revisit intention. Jeaheng et al. [17] specifically investigated the importance of cognitive and affective evaluation at halal-friendly hotels by arguing that it leads to Muslims’ behavioral intention, especially visit intention. Han et al. [13] identified that halal-friendly attributes positively impact the necessary condition (i.e., affective commitment) on Muslim’s behavioral intention to South Korea as a non-Islamic country. The above studies led to the following two hypotheses:
Hypothesis 1. (H1).
Halal-friendly attributes positively influence Muslims’ perceived value in a non-Islamic country.
Hypothesis 2. (H2).
Halal-friendly attributes positively influence Muslims’ visit intention in a non-Islamic country.
Hypothesis 3. (H3).
Perceived value mediates the relationship between halal-friendly attributes and visit intention.

2.3.2. Destination Trust

Destination trust refers to the ability of a visitor to perceive the reliability and credibility of critical features of a perceived destination [78]. In practical terms, destination trust assures visitors to a specific destination that the services provided will be reliable, credible, and free of perils and nuisances [79]. When consumers are disclosed to external environmental factors, they try to develop perceptions of credibility based on their past experiences, present situations, and future expectations in their attitudes [80]. Then the relationship between external environmental factors and their perspectives is expected to encourage consumers’ trust [81]. When consumers perceive the relationship between the critical features of a perceived destination and themselves, they are more likely to generate a positive attitude and increase confidence, which further enhances trust in a destination [82].
Reza Jalilvand et al. [83] explained that consumers’ trust in tourist destinations represents their confidence in a product or service at the tourist’s destination. For example, Abubakar et al. [78] showed that electronic word-of-mouth positively influences trust in a destination. In addition, Lestari et al. [66] argued that the halal tourism destination significantly impacts trust. Al-Ansi and Han [38] showed that the perceived value of halal-friendly destination performances is positively associated with destination trust.
Destination trusts’ mediating role influences various key constructs such as satisfaction [68], halal identity [67], halal tourism destination [66], halal food performance [66], perceived value [38], behavior intention [79], revisit intention [84], and visit intention/intention to visit [85,86]. Destination trust has been discussed in the prior tourism destination context. Al-Ansi and Han [38], for example, investigated the impact of destination trust in the relationship between a perceived halal-friendly destination in a non-Islamic country and loyalty. In addition, Abror et al. [77] examined that perceived halal risk in a destination significantly impacts trust. Moreover, Lestari et al. [66] showed that Muslims’ perceived halal destination attributes influence their intention to visit. Thus, this present study proposed the following hypotheses:
Hypothesis 4. (H4).
Halal-friendly attributes are positively correlated with destination trust.
Hypothesis 5. (H5).
Perceived value is positively correlated with destination trust.
Hypothesis 6. (H6).
The relationship between halal-friendly attributes and visit intention is mediated by destination trust.

2.4. Response: Visit Intention/Intention to Visit

Response describes consumers’ internal response in the S–O–R model. According to Mehrabian and Russell [32], individuals respond to the external environment in two contrary ways: avoidance behavior and approach behavior [87]. Avoidance behavior can have opposite effects on those normal behavior approaches, such as sadness and anxiety [88]. In contrast, approach behavior refers to supportive behavior when it involves the desire to explore, desire to stay, and willingness [89]. In the present study, visit intention was used to study the approach behavior of Muslims’ visit intention in non-Islamic countries. de la Hoz-Correa and Munoz-Leiva [90] suggested that behavioral intention can be defined as an individual’s expected or future action [63] (i.e., visit, revisit, recommendation, or word of mouth). Several studies have been conducted to understand how one’s subjective perceptions of the external environment influence his/her behavioral intentions. Examples of the external environment include destination image [91,92], halal experience [1], halal-friendly destination performances [38], perceived value [1,93], and destination trust [78,79].
Jeaheng et al. [17] explained that the cognitive and affective dimensions of halal-friendly hotel attributes significantly influence behavioral intention. Papastathopouloe et al. [52] examined Muslim guests’ intention to visit hotels based on Islamic physical and nonphysical attributes. Meanwhile, Eid and El-Gohary [39] stated that Muslims consider the availability of such Islamic attributes (Islamic physical and nonphysical attributes) when they want to buy a tourism product or service, especially halal food [8] or praying facilities [15]. Therefore, providing Muslim-friendly amenities impacts Muslims’ travel intentions [94].
Perceived value is the main antecedent dimension of a consumer’s behavioral intention [95]. The behavioral intention of Muslim customers could be directly stimulated by cognitive and affective components [17]. Muslim cognition influences the intention to visit a non-Islamic country [94]. Muslims are more likely to behave positively when they have experienced destination attractiveness [67]. When Muslims’ perceived values are related to the image of the Muslim-friendly products/services they decide on, they tend to generate an intention to experience halal tourism [66].
Trust toward destination service providers impacts behavioral intention [22] because the role of trust influences consumers’ decisions related to travel plans, based on the sharing of experience (i.e., share content), information search, satisfaction, desire, and cognition [96]. Because of the above impact on a consumer’s decision-making mechanism, destination trust has been studied as a key important antecedent of behavioral outcomes such as behavior intention [79], destination loyalty [97,98], revisit intention [99,100,101], and visit intention/intention to visit [102,103]. Therefore, the following hypotheses were proposed:
Hypothesis 7. (H7).
Muslims’ perceived value positively influences their visit intention in relation to a non-Islamic country.
Hypothesis 8. (H8).
Muslims’ destination trust positively influences their visit intention in relation to a non-Islamic country.
This study extended the S–O–R model to the halal tourism context by proposing the halal-friendly attributes as a stimulus, perceived value and destination trust as an organism, and visit intention as a response. Figure 1 depicts the conceptual model and hypotheses.

3. Method

3.1. Questionnaire Design

The initial questionnaire was developed in English, and a back-translation procedure was used to obtain the Thai version [104]. Thai native experts evaluated and corrected for clarity, comprehension, and suitable wording [105,106]. This questionnaire verified the translation using the back-to-back method [107]. The language translations were considered by two individuals proficient in English and Thai [108]. Then the clarity, comprehension, and suitable wording of scale items were checked by two qualified experts in tourism and hospitality [109]. Afterward, the chosen questionnaire was translated again into English by two individuals proficient in Thai and English without seeing the original questionnaire [52]. The translated version was reviewed and discussed by the same experts in tourism and hospitality [110]. The similarities between the original questionnaire and the re-translated version were identified [111]. Hence, the translation questionnaire was accepted for data collection.
The questionnaire comprised five parts. The first part examined the Islamic physical attributes (seven items) and Islamic non-physical attributes (seven items) with measurement constructs adopted from Muharam and Asutay [112]; Stephenson [43]; Wardi et al. [40]; and Wingett and Turnbull [113]. The second section determined the perceived value (eight items) with measurement variables adopted from Eid and El-Gohary [39]; and Jeaheng et al. [17]. The third part assessed destination trust (seven items) with the measurement adopted from Abubakar and Ilkan [79]; Abubakar et al. [78]; Y. Su et al. [65]. The four latent variables for visit intention in the fourth section were adopted from Atzeni et al. [114] (see in Appendix A). The 5-point Likert scale ranged from 1 (strongly disagree) to 5 (strongly agree). All the measurement variables are presented in endogenous and exogenous constructs. The fifth section of the questionnaire investigated the demographic information of the respondents, including gender, age, education level, occupation, and monthly income.

3.2. Data Collection

The study conducted a pilot test for 155 respondents who were not included in the target respondents. The survey questionnaire was modified accordingly. An internet-based survey distributed the final data collection from 307 respondents from 8 March to 8 April 2022. Based on SEM articles reviewed, most studies used a sample size of between 151 and 400 respondents (99 articles, 47.4%) [115]. A minimum sample size of 200 is usually required for SEM, which is considered to be a large sample method [116]. The sampling technique applied in this study was a purposive sampling technique [117]. The selection criteria of the participants of this study were: (1) they must be Muslims [77]; their ages must be above 18 years old [118]. Hence, in this study, the fundamental unit of analysis was the individual (i.e., Thai Muslims). A web link and electronic mail (e-mail) were used to distribute the survey and collect data from respondents.

3.3. Data Analysis

Data analysis of this study addressed a two-step approach via a measurement model and a structural model by using partial least squares structural equation modeling (PLS-SEM) [119]. The first step required validated measurement constructs in the conceptual framework [119,120]. The second step concerned structural equation modeling (SEM) analysis for testing the hypotheses’ purposes and the validity of the conceptual framework. As a result, the measurement and structural models used an approach to assess the conceptual framework.

4. Results

4.1. Descriptive Statistics

This study divided the respondents into two gender groups: males (37.79%) and females (62.21%). These age groups dominated the distribution, between 25 and 30 years old (38.76%) and between 19 and 25 years old (20.52%). The majority of respondents (41.70%) reported a monthly income between 15,001 and 30,000 Thai baht (THB), while more than one-third (36.48%) reported a monthly income of less than 15,000 Thai baht (THB). Most respondents (85.34%) held a graduate degree. Lastly, 75.90% of the respondents were employed in other occupations. Detailed information on the participants’ demographic characteristics is reported in Table 1 below.

4.2. PLS-SEM Analysis

PLS-SEM analysis was divided into two categories: measurement model (reflective and formative) and structural model [121].

4.2.1. Assessment of the Measurement Model

This study developed a theoretical or conceptual research framework that structured attributes into one second-order reflective–formative construct, namely, halal-friendly attributes. The framework had three reflective indicators: perceived value, destination trust, and visit intention. As a second-order formative construct, halal-friendly attributes were divided into two dimensions (Islamic physical and non-physical attributes). According to Sarstedt et al. [122] and Thien [123], redundancy analysis involves a two-stage approach. In the first step, this study determined the second-order construct (i.e., halal-friendly attributes) using a formative construct as an exogenous latent variable to predict the same construct operationalization by reflective indicators. Other measurement models (i.e., perceived value, destination trust, and visit intention) were based on a reflective first-order construct.
The statistics were proposed to evaluate common method bias (CMB). First, this study performed Harman’s Single Factor Technique [124] to assess the data. The principal component factor analysis illustrated that the variance explained by the first factor was 35.36% (<40%), describing CMB bias as not a concern in this study [125]. Then, the CMB was further analyzed using the full collinearity assessment suggested by Kock and Lynn [126]. The full collinearity method produces a more stable result and is considered more advanced than traditional methods [127]. As shown in Table 2, this study measured full collinearity variance inflation factors for each construct, which were between 1.240 and 1.740. A random dummy variable was regressed against all the variables in the model, which were less than 3.33 [126]. Therefore, this concluded that this study had no serious issue related to common method bias.
Both reliability (i.e., composite reliability and average variance extracted or AVE) and convergent validity (see Table 3 for details) and discriminant validity (see Table 4 for details) were examined. Cronbach’s alpha tested the internal reliability of each scale. Cronbach’s alpha for each construct ranged from 0.871 to 0.954, greater than the 0.70 suggested by Hair et al. [128]. Composite reliability is the reliability of the summation or composite, which is expected to be greater than 0.70 [128]. AVE is the variance in the indicators (i.e., the factor loadings) explained by common factors, which have a value greater than 0.50 [128]. As shown in Table 3, the factor loading for all indicators with the constructs was greater than 0.70. Additionally, the composite reliability (CR) and Cronbach’s alpha (α) were greater than 0.70. Additionally, the AVE values for all constructs were greater than 0.50. As a result, composite reliability (CR), average variance extracted (convergent validity), and Cronbach’s alpha (α) were acceptable.
Convergent validity indicates that tests developed to measure the same trait measure and the same construct [129]. It is evaluated by checking the factor loadings on each measurement scale [130], which have a value greater than 0.50 [128]. Table 3 demonstrates that all factor loadings were greater than 0.70 and were significant at p < 0.001.
In the second step, as part of the conceptual framework, halal-friendly attributes were included as a second-order formative construct composed of two first-order components: Islamic physical and non-physical attributes. The halal-friendly attributes construct achieved the score of the concerned components (Islamic physical and non-physical attributes) from the first state [121]. Consequently, in this second stage, the constructs consisted of a second-order formative construct (i.e., halal-friendly attributes) and three reflective constructs (i.e., perceived value, destination trust, and visit intention). This study evaluated formative measurements by analyzing the variance inflation factor (VIF) and determining the significance of outer weights [128]. This study used a collinearity test to assess the issue of the multicollinearity of variables. The VIF value should be less than 5. Additionally, the outer weights must be significant to establish an acceptable measurement framework for the formative constructs [131].
As the same time, the outer weights must also be significant to evaluate an acceptable measurement framework for the formative constructs [131]. As shown in Table 5, the measurement model assessment and results of the VIF (i.e., physical and non-physical attributes) were 1.309. Thus, the formative construct was acceptable in terms of collinearity. It is noteworthy that the outer weights of each dimension (i.e., Islamic physical and non-physical attributes) as the formative constructs were significant.
Accordingly, Table 4 shows the acceptable discriminant validity based on the HTMT approach. As discriminant validity is necessary to establish the correlation interval between constructs in the structural model, several criteria were imposed to assess discriminant validity [132] as recommended by F. Hair Jr et al. [132]. Two commonly used methods to evaluate discriminant validities are Fornel-Larcker’s criterion and the heterotrait–monotrait (HTMT) ratio of correlation [133]. The heterotrait–monotrait (HTMT) ratio can assess discriminant validity in the present study. Discriminant validity assessment analyzes the relationships between latent variables in variance-based structural equation modeling such as partial least squares; through a simulation study, the heterotrait–monotrait ratio of correlations is superior to the performance of the Fornel-Larcker criterion [134]. All constructs with HTMT values less than 0.90 demonstrate discriminant validity based on HTMT analysis [70].

4.2.2. Structure Model and Hypothesis Testing

Partial least squares were used to test the proposed hypotheses. The results of the structural model showed that the R2 values for perceived value, destination trust, and visit intention were 0.113, 0.313, and 0.353, respectively (Figure 2). Therefore, the R2 should be greater than 0.10 [37].
As a result of the following hypothesis testing (Table 6), five hypotheses of direct effect and two of indirect effects were supported, while one hypothesis of direct effect was not significant. Based on the findings, halal-friendly attributes have a direct impact on perceived value and destination trust (H1, H4), The study provides evidence that perceived value has a direct impact on destination trust (H5) and destination trust on visit intention (H8), and the indirect effects of halal-friendly attributes on visit intention through perceived value (H3), and perceived value has a direct impact on visit intention (H7), and the indirect effects of halal-friendly attributes and visit intention through destination trust (H6).
To determine the significance of the path coefficient, a bootstrap resampling method (5000 samples) was carried out [135,136,137]. Consequently, the bootstrap method was applied to analyze the mediator in this study [76]. It was demonstrated in this study that perceived value mediates the relationship between halal-friendly attributes and destination trust. There is also a significant mediator role for destination trust between two other dimensions of halal-friendly attributes and perceived value on visit intention. This study demonstrates halal-friendly attributes’ visit intention. However, the results indicated that halal-friendly attributes did not significantly influence visit intention (H2).

4.2.3. The Mediating Role of Perceived Value and Destination Trust

To prove the mediating role of perceived value and destination trust in the relationship between halal-friendly attributes and visit intention (see Table 7), this study followed [138] four major conditions to investigate the mediating role:
(1)
The independent variable should have a significant influence on the outcome variable;
(2)
The independent variable’s influence on the presumed mediator variable should be significant;
(3)
The presumed mediator variable should have a significant influence on the outcome variable;
(4)
The relationship between the independent and outcome variable must be significantly reduced when the presumed mediator variable is included in the model.
The results support the presumed mediator variable in the relationship between halal-friendly attributes and visit intention based on the above conditions. The beta coefficient between halal-friendly attributes and visit intention significantly decreased, from β = 0.265 (p < 0.001) in step 1 to β = −0.022 (p > 0.05) in the following condition. As such, the findings of the mediation analysis support the full mediating effect between halal-friendly attributes and visit intention of perceived value and destination trust.

5. Discussions, Implications, and Limitations

5.1. Discussion

The present study explored the associations among stimulus (halal-friendly attributes; both Islamic physical and non-physical attributes), organism (perceived value and destination trust), and response (visit intention) in a non-Islamic context. H1, H3, H4, H5, H6, H7, and H8 (see Table 6) were accepted, which is a consistent interpretation with previous studies in the literature review [22,51,54,66,77,139]. In particular, the results investigated halal-friendly factors as the stimulus that enhances Muslims’ perceived value and destination trust (acceptance using H1 and H4), rather than visit intention (rejected of H2). Perceived value influences destination trust (accepted of H5). Both perceived value and destination trust are the antecedents of visit intention (accepted H7 and H8). Moreover, these findings revealed that perceived value and destination trust mediate between halal-friendly attributes and visit intention (accepted H3 and H6).
Muslims’ perception of halal-friendly attributes significantly affects the perceived value (H1). This study supports the authors of [67], who found that halal-friendly destination attributes significantly affect the perceived value. In addition, Suhartanto et al. [1] investigated positively significant halal experience quality (i.e., physical and non-physical attributes) on perceived value. The relevant role of halal management in non-Islamic countries should provide a guarantee of separating halal from non-halal; hence Muslims will tend to be more satisfied and will seem more satisfied with the product and service. Certainly, the halal-friendly attributes are environmental factors of Muslims’ perceived value.
The halal-friendly attributes had no significant influence on visit intention in the results of this study (H2). Similar findings were reported by Aji et al. [19], who revealed that Islamic value was not directly influenced by Muslims’ intention to visit non-Muslim countries. This finding contradicts the authors of [52], who studied Islamic attributes’ impact on visit intention toward Muslim countries. However, the different results need to be explained. Muslims are not directly attracted to non-Muslim countries by their Islamic attributes but rather by other factors such as shopping, beaches, and other visitor attractions [140], which could be essential for future research. Isa et al. [9] found that environmental stimuli such as culture and the Islamic atmosphere could be essential tools to influence Muslim tourists to travel.
Perceived value significantly mediates between halal-friendly attributes and visit intention of Muslim to non-Islamic countries (H3). This present study found that an indirect relationship through perceived value was a mediator. This finding provides an empirical mediator to the statement made by Lestari et al. [66], who found that Muslims’ perception of halal destination management indirectly affects the intention to visit halal tourism significantly through perceived value as a mediator. Moreover, Mursid and Anorage [75] also pointed out that Muslims’ intention to visit is not directly influenced by their perception of halal-friendly destination attributes. However, they are still considered more likely indirectly through their perceived value as a key element of the mediator. Therefore, when Muslims perceive the halal-friendly destination in non-Islamic countries, they will be satisfied with the tourism site’s products and services. Therefore, when they are perceived as halal-friendly destinations, they will intend to visit that destination site. Hence, perceived value has a full mediation effect between halal-friendly attributes and visit intention.
Muslims’ perception of halal-friendly attributes significantly affects destination trust (H4). A further finding of the present study is related to Han et al. [54], who studied Islamic physical attributes on international Muslim decision-making (i.e., halal food). They found that Islamic physical attributes are the influence factors on the Muslims’ destination trust. In addition, Lestari et al. [66] studied the perception of Muslims on Islamic non-physical attributes (i.e., halal destination management). They found that Islamic non-physical attributes have a significant impact on destination trust. Therefore, the confidence in halal-friendly attributes motivates Muslim toward non-Muslim countries. The halal-friendly attributes are environmental factors of destination trust.
Perceived value has a significant effect on destination trust (H5). This finding is related to Abror et al. [77], who found that when Muslims perceive the product and service value, it will make them trust a product and service in a destination. Moreover, this is also in line with Al-Ansi and Han [38], who revealed a significant relationship between perceived value and destination trust for Muslim visitors’ behavior. Therefore, when Muslims perceive value in the product and service in the halal tourism destination, it will impact Muslims’ trust in the destination.
Destination trust significantly mediates the relationship between halal-friendly attributes and the visit intention of Muslims to non-Islamic countries (H6). This study also found an indirect relationship through destination trust as a mediator. Similar findings were reported by Han et al. [54], who discovered that Muslims’ trust in halal food performance indirectly affects visit intention significantly through destination trust as a mediator. This result also relates to Lestari et al. [66]. They found that Muslims’ trust in halal environmental factors indirectly affects the intention to visit halal tourism significantly through destination trust as a mediator. When Muslims trust halal environmental factors in non-Islamic countries, they will be confident with the tourist destination [1]. Al-Ansi and Han [38] reported that trust in the destination is positively influenced by halal-friendly attributes and the intention to visit Muslim tourists. It will reduce Muslims’ perception of risk and increase Islamic values in non-Islamic countries [19]. Therefore, destination trust has a full mediation effect in the relationship between halal-friendly attributes and visit intention.
The perceived value of Muslims significantly impacts visit intention (H7). This finding is consistent with previous studies [23,25], which found that tourists’ perceived value is an antecedent of their visit intention. Aji et al. [19] found that Muslims’ perceived attitudes strongly impact visit intention toward non-Islamic countries. Muslims’ perception of environmental factors (i.e., halal-friendly attributes) impact their perception of a tourism site in non-Islamic countries. When they are perceived with the product and services, they intend to visit in non-Islamic countries. Therefore, the perceived value is the antecedent of visit intention.
Finally, this study found that Muslims’ trust in a destination significantly impacts visit intention (H8). This finding is related to Setiawan et al. [141] and Sultana et al. [31]. They studied the tourists’ perception of confidence at the destination and discovered that destination trust has a significant impact on visit intention. In addition, Jeaheng et al. [22] found that Muslim belief in halal-friendly destinations considerably impacts visit intention. The characteristics of a halal-friendly destination will increase Muslims’ perception of trust in the destination. When they trust the environmental factors (i.e., halal-friendly destinations), they intend to visit non-Islamic countries. Hence, destination trust is the antecedent of visit intention.

5.2. Theoretical Implications

Although prior studies have examined the influence of environmental factors on tourist perceptions [142,143,144], few studies have investigated halal-friendly attributes and the combination of Islamic physical and non-physical attributes. Previous studies have found that the environmental factors impact Muslims’ perceptions, such as multi-halal-friendly hotel attributes, Umrah travelers’ participation, and inconvenience experience of Muslim travelers, and respond to the different behavior outcomes [17,20,67]. This present study makes a contribution by bridging the gaps. Therefore, this is the first study to investigate halal-friendly attributes from the perspective of Muslims and find their significant impact on Muslims’ perceived value and trust in a non-Islamic destination. These findings refine and deepen the research on halal-friendly attributes in a non-Islamic destination. Furthermore, the authors reviewed the existing literature on tourism. They revealed that the mediating role of perceived value in the relationship between halal-friendly attributes and visit intention is still unknown. Previous studies have explored the impact of environmental factors and perceived value on their behavior and found that perceived value does act as a mediator in the relationship [1,70,93]. In the field of tourism studies, See and Goh [25] researched and exerted the positive and significant influence of perceived value on tourists’ intention to visit heritage hotels. Mencarelli and Lombart [145] studied and found that perceived value positively influences customer intention to purchase. Nevertheless, few empirical tourism researchers have explored what environmental factors affect the perceived value and how Muslims’ perceptions influence the destination [25]. This current study aimed to fill the research gap and find the mediating role of perceived value on the relationship between the environmental factors (i.e., halal-friendly attributes) and visit intention. In particular, Muslim’s cognitive and affective perception of halal-friendly attributes offered in the non-Muslim country will mean they will strongly prefer to visit the non-Islamic country. Perceived value is an important driver of visit intention toward these environmental factors. Therefore, perceived value is a key mediator affecting internal Muslim perceptions.
Moreover, this study also examined the mediating role of destination trust in the relationship between halal-friendly attributes and visit intention. Previous studies have investigated the impact of environmental factors and trust on their behavior and found that trust significantly mediated this relationship [146,147]. Furthermore, some research has shown that destination trust and intention to visit have a positive influence [66,85,86]. However, few studies have investigated what environmental factors impact Muslims’ trust in a destination [148]. This present study would be the first empirical work to unearth the fact that destination trust mediates the relationship between environmental factors (i.e., halal-friendly attributes) and visit intention. Specifically, halal-friendly attributes are perceived by Muslims, and then they will have a strong attitude towards the intention to visit non-Islamic countries. Therefore, these findings highlight the importance of destination trust as a key mediator. Destination trust is verified as one of the internal perceptions of halal-friendly attributes and visit intention.
Finally, this study clarified the mediation of these constructs (i.e., perceived value and destination trust). The findings show that environmental factors (i.e., halal-friendly attributes) can enhance the perception of Muslims and result in stronger visit intention. Therefore, this study’s contribution to the existing literature is related to the investigation of the S–O–R model in relation to halal tourism in a non-Islamic country and the examination of “halal-friendly attributes” as environmental factors (stimulus) that impact Muslim’s perceptions (organism) and visit intentions (response).

5.3. Practical Implications

This study provides valuable insights and has important implications for marketing management and practitioners. Most importantly, tourism destination managers can practically use the halal-friendly attributes to stimulate the internal perceptions of Muslims in relation to the non-Islamic destination. Thus, non-Islamic countries can increase Muslim tourists’ desire to visit for halal-friendly attributes.
The findings of this study showed that halal-friendly attributes have great importance in relation to Muslims’ perceptions and intentions to visit a destination. Therefore, destination managers could help shape the image of the halal-friendly attributes of the non-Islamic destination. The result also confirms the important role of halal-friendly attributes as a robust Muslim religious belief. For example, in relation to Islamic physical attributes, they might actively undertake halal-friendly responsibilities, halal food preparation by the rules of Islam, make Muslim consumers more confident by indicating a halal logo, and provide prayer facilities (i.e., prayer room, prayer rugs, Qibla direction, prayer time, and ablution space). In terms of Islamic non-physical attributes, they should focus on separating service facilities based on the sex of the guest (e.g., segregated male and female facilities) and guest facilities (e.g., conservative uniforms, no gambling, night, toilets fitted with a bidet shower, Qibla direction signage).
Moreover, this study considered the mediating effect of halal-friendly attributes and visit intention by examining the perceived value and destination trust as mediators. The findings showed that both mediations fully mediated the relationship, providing important implications for all stakeholders in tourism. Service providers can be directly and indirectly involved in delivering services, including airlines, tour operators, attraction sites, hotels, restaurants, etc. Service providers are key elements in supplying destination tourism which determines tourists’ perceptions of destinations. Therefore, service providers are recommended to encourage Muslims to visit non-Islamic destinations. In addition, they should use social media, social networks, and other media in marketing communications. A wide range of communication has been possible through multimedia marketing, especially sensory-stimulating media, which build an emotional message with customers to create an awareness of Muslims who will generate behavioral intentions using the media perception. Perceptional media could have added benefits for Muslims by concentrating on general information, and the message could be the individual interpretation and perceptions of the destination. Social media can strengthen the internal perceptions between Muslims and the destination to motivate positive behavior outcomes such as Muslim’s intention to visit.
Therefore, non-Islamic countries might consider making a competitive strategy for halal tourism elsewhere to make their halal-friendly destinations attractive to Muslim tourists. Non-Islamic countries need to understand Muslims’ perceptions. This study offers a market segmentation tool that will be useful for serving Muslim markets in different regions. Therefore, destination marketers should use social media in marketing, marketing communications, and branding strategies.

5.4. Limitations

This study verified the conceptual framework through an online survey instrument and achieved some important related implications. Nevertheless, some conditions and implications provide suggestions for future studies. First, the participants of this study were recruited from one country in South-East Asia; hence, the results of this study may not be generalized to other continents. Future research may collect data that can cover wider geographic areas as well as other cultural spectra, such as the Middle East, South Asia, and Europe. Second, this study concentrated on the mediations (i.e., perceived value and destination trust) and visit intention as outcome variables of halal-friendly attributes. Future studies could consider examining other outcome variables for visitor tourists (i.e., tourist satisfaction and loyalty), further test the interrelationships of halal-friendly attributes and other variables and, accordingly, develop a more comprehensive framework of visitor responses to halal-friendly attributes. Finally, this study may have had a sampling bias due to many young respondents. Therefore, future studies should examine this issue through the systematic sampling process. The research can guarantee that each unit of the sample respondents is an equivalent portion of the whole population.

6. Conclusions

Research on the perception of Muslims on halal-friendly attributes and visit intention has been limited to Islamic countries [14]. Meanwhile, the hospitality and tourism industry is a social and cultural phenomenon that closely represents the dimensions of ethnicity and religion [39]. The tourism industry is progressively moving away from mass tourism and niche tourism to segment markets to address the different consumer psychology of a particular target market, such as religious tourism, Islamic tourism, spiritual tourism, Muslim-friendly tourism, Sharia tourism, and halal tourism. This exploratory study on the perception of Muslims could influence the visit intention to non-Islamic countries. This study found that the Muslims’ perception of the external environment (i.e., halal-friendly attributes) was not directly influenced by their intention to visit a non-Muslim country. In contrast, Muslims’ visit intention in decision making is affected by the role of the internal cognitive state. For example, their perception of products and services, the destination’s image, and intent to purchase and consume halal products and services. Consequently, this market offers great interest in halal tourism. This study evaluated Muslims’ perception via the stimulus–organism–response (S–O–R) model. The S–O–R model is a potential model for understanding consumers’ decision making and responses [32], especially in the context of the halal-friendly attributes. These results indicate that halal-friendly attributes positively impact perceived value and destination trust. The findings found that the perceived value and destination trust fully mediated the relation between halal-friendly attributes and visit intention.
In addition, in today’s technology and data-driven world, the message and media are important to communicate between the target groups [149]. They have become an inexpensive way to inform and reach potential target groups [150]. Therefore, promotional marketing or marketing communications are essential marketing tools to communicate between the target groups [149]. Marketing communication includes personal selling, advertising, promotions, public relations, and direct marketing [151]. Directing marketing for sharing with target groups has changed greatly with the emergence of social networking sites, social media, and mobile devices (i.e., Facebook, WhatsApp, Facebook Messenger, WeChat, Electronic mail, and mobile applications) [152]. The use of the smart application is quite widespread among generation Y (born between 1980 and 1995) and Z (born after 1995). In addition, these applications make their daily lives easier and faster [153]. Mavletova and Couper [154] studied device use in web surveys and found that participation rates for PC web respondents were not higher than for mobile usage. Kim et al. [36] found that respondents used mobile-based applications (63.4%) twice as often as personal computer platforms. The millennial generation (20–38 years old) accounted for 51.4% of the sample. Furthermore, the first thing many consumers do in the morning is to check their mobile phones since 80 and 81% use the alarm clock function on their devices [155]. Therefore, generations Y and Z are the respondents likely to use the mobile-based device in response to web surveys.

Author Contributions

Conceptualization, A.S. and R.L.-W.H.; methodology, A.S. and R.L.-W.H.; validation, R.L.-W.H.; formal analysis, A.S.; investigation, A.S.; data curation, A.S.; writing—original draft preparation, A.S.; writing—review and editing, A.S. and R.L.-W.H.; visualization, A.S.; supervision, R.L.-W.H.; project administration, A.S.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

N/A.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangementas), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

Appendix A

Table A1. Measurement items.
Table A1. Measurement items.
ConstructsLatent Variables
Halal-friendly attributes (HFA)
Islamic physical attributes (PA)
[40,43,112,113]
Availability of restaurant with halal logo/
certification (PA1) [112]
Restaurant without non-halal foods (no pork/lard) (PA2) [43]
Availability of prayer facilities/room at
tourism sites (PA3) [112]
Availability of halal food at tourism sites,
airport, shopping mall (PA4) [40]
Availability of water supply in toilets at
tourism sites, airport, shopping mall (PA5) [113]
Availability of separated swimming pool
and gymnasia for men and
women (PA6) [112]
Availability provides an ablution
(Wudhu before prayer) facility (PA7) [43]
Islamic non-physical attributes (NPA)Hotel/restaurant staff in Muslim costumes (NPA1) [43]
No facilities for gambling (NPA2) [40]
Muslim-friendly TV channels (NPA3) [112]
There are no night club facilities (NPA4) [40]
Islamic-friendly decoration/art (NPA5) [43]
Availability of segregated services (halal
kitchen) and areas (women only) (NPA6) [112]
Banning of gambling activities by the
authority at public places (NPA7) [113]
Perceived valueThe quality of the product and service was maintained thoroughly (PV1) [17,39]
The product and services offered had an
acceptable level of quality (PV2) [17,39]
The product and service offered was reasonably priced (PV3) [17,39]
The product and services offered at
tourism destination was economical (PV4) [17,39]
Product and services offered helped me feel relaxed (PV5) [17,39]
The product and services offered at the
destination gave me a positive feeling (PV6) [17,39]
The product and services offered at the destination gave me social approval (PV7) [17,39]
The product and services offered at the destination made a good impression from other
people (PV8) [17,39]
Destination trustI believe that Taiwan is a safe country
(DT1) [65,78,79]
I believe that Taiwan will not make me
disappointed (DT2) [65,78,79]
Taiwanese people are trustworthy (DT3) [65,78,79]
I believe that traveling to Taiwan will
satisfy me (DT4) [65,78,79]
I believe that Taiwan will meet my needs (DT5) [65,78,79]
I believe Taiwanese people are concerned about privacy (DT6) [65,78,79]
I believe Taiwanese people are more
welcome (DT7) [65,78,79]
Visit intentionI plan to visit Taiwan someday (VI1) [114]
I intend to visit Taiwan in the near future (VI2) [114]
I am willing to visit Taiwan (VI3) [114]
I will make an effort to visit Taiwan
(VI4) [114]

References

  1. Suhartanto, D.; Dean, D.; Wibisono, N.; Astor, Y.; Muflih, M.; Kartikasari, A.; Sutrisno, R.; Hardiyanto, N. Tourist experience in Halal tourism: What leads to loyalty? Curr. Issues Tour. 2021, 24, 1976–1990. [Google Scholar] [CrossRef]
  2. Possamai, A.; Blasi, A.J. The SAGE Encyclopedia of the Sociology of Religion; SAGE: Thousand Oaks, CA, USA, 2020. [Google Scholar]
  3. Population Reference Bureau. 2011. Available online: https://www.prb.org/resources/the-global-muslim-population/ (accessed on 3 August 2022).
  4. Almuhrzi, H.M.; Alsawafi, A.M. Muslim perspectives on spiritual and religious travel beyond Hajj: Toward understanding motivations for Umrah travel in Oman. Tour. Manag. Perspect. 2017, 24, 235–242. [Google Scholar] [CrossRef]
  5. Pew Research Center. 2017. Available online: https://www.pewresearch.org/fact-tank/2017/01/31/worlds-muslim-population-more-widespread-than-you-might-think/ (accessed on 3 August 2022).
  6. Rasul, T. The trends, opportunities and challenges of halal tourism: A systematic literature review. Tour. Recreat. Res. 2019, 44, 434–450. [Google Scholar] [CrossRef]
  7. Wibawa, B.M.; Pranindyasari, C.; Bhawika, G.W.; Mardhotillah, R.R. Discovering the importance of halal tourism for Indonesian Muslim travelers: Perceptions and behaviors when traveling to a non-Muslim destination. J. Islam. Mark. 2021; ahead-of-print. [Google Scholar] [CrossRef]
  8. Mannaa, M.T. Halal food in the tourist destination and its importance for Muslim travellers. Curr. Issues Tour. 2020, 23, 2195–2206. [Google Scholar] [CrossRef]
  9. Isa, S.M.; Chin, P.N.; Mohammad, N.U. Muslim tourist perceived value: A study on Malaysia Halal tourism. J. Islam. Mark. 2018, 9, 402–420. [Google Scholar] [CrossRef]
  10. Rodrigo, P.; Turnbull, S. Halal holidays: How is value perceived by Muslim tourists? Int. J. Tour. Res. 2019, 21, 675–692. [Google Scholar] [CrossRef]
  11. Aji, H.M.; Muslichah, I. Is Halal Universal? The Impact of Self-Expressive Value on Halal Brand Personality, Brand Tribalism, and Loyalty: Case of Islamic Hospitals. J. Islam. Mark. 2022; ahead-of-print. [Google Scholar] [CrossRef]
  12. Nawi, N.B.C.; Al Mamun, A.; Nasir, N.A.M.; Abdullah, A.; Mustapha, W.N.W. Brand image and consumer satisfaction towards Islamic travel packages: A study on tourism entrepreneurship in Malaysia. Asia Pac. J. Innov. Entrep. 2019, 13, 188–202. [Google Scholar] [CrossRef]
  13. Han, H.; Al-Ansi, A.; Koseoglu, M.A.; Lin, P.M.C.; Park, J.; Yu, J.; Kim, W. Halal tourism: Travel motivators and customer retention. J. Travel Tour. Mark. 2019, 36, 1012–1024. [Google Scholar] [CrossRef]
  14. Mursid, A. Examining revisit intention from the basic foundation of Islam: The role of halal destination attributes and perceived value. J. Islam. Mark. 2022; ahead-of-print. [Google Scholar] [CrossRef]
  15. Shafaei, F.; Mohamed, B. Involvement and brand equity: A conceptual model for Muslim tourists. Int. J. Cult. Tour. Hosp. Res. 2015, 9, 54–67. [Google Scholar] [CrossRef]
  16. Mohamed, N.; Taheri, B.; Farmaki, A.; Olya, H.; Gannon, M.J. Stimulating satisfaction and loyalty: Transformative behaviour and Muslim consumers. Int. J. Contemp. Hosp. Manag. 2020, 32, 2903–2923. [Google Scholar] [CrossRef]
  17. Jeaheng, Y.; Al-Ansi, A.; Han, H. Halal-friendly hotels: Impact of halal-friendly attributes on guest purchase behaviors in the Thailand hotel industry. J. Travel Tour. Mark. 2019, 36, 729–746. [Google Scholar] [CrossRef]
  18. Jia, X.; Chaozhi, Z. “Halal tourism”: Is it the same trend in non-Islamic destinations with Islamic destinations? Asia Pac. J. Tour. Res. 2020, 25, 189–204. [Google Scholar] [CrossRef]
  19. Aji, H.M.; Muslichah, I.; Seftyono, C. The determinants of Muslim travellers’ intention to visit non-Islamic countries: A halal tourism implication. J. Islam. Mark. 2021, 12, 1553–1576. [Google Scholar] [CrossRef]
  20. Al-Ansi, A.; Han, H.; Kim, S.S.; King, B. Inconvenient Experiences among Muslim Travelers: An Analysis of the Multiple Causes. J. Travel Res. 2021, 60, 1352–1370. [Google Scholar] [CrossRef]
  21. Alhothali, G.T.; Elgammal, I.; Mavondo, F.T. Religious servicescape and intention to revisit: Potential mediators and moderators. Asia Pac. J. Tour. Res. 2021, 26, 308–328. [Google Scholar] [CrossRef]
  22. Jeaheng, Y.; Al-Ansi, A.; Han, H. Impacts of Halal-friendly services, facilities, and food and Beverages on Muslim travelers’ perceptions of service quality attributes, perceived price, satisfaction, trust, and loyalty. J. Hosp. Mark. Manag. 2020, 29, 787–811. [Google Scholar] [CrossRef]
  23. De Toni, D.; Eberle, L.; Larentis, F.; Milan, G.S. Antecedents of Perceived Value and Repurchase Intention of Organic Food. J. Food Prod. Mark. 2018, 24, 456–475. [Google Scholar] [CrossRef]
  24. Hasan, K.; Abdullah, S.K.; Islam, F.; Neela, N.M. An Integrated Model for Examining Tourists’ Revisit Intention to Beach Tourism Destinations. J. Qual. Assur. Hosp. Tour. 2020, 21, 716–737. [Google Scholar] [CrossRef]
  25. See, G.-T.; Goh, Y.-N. Tourists’ intention to visit heritage hotels at George Town World Heritage Site. J. Herit. Tour. 2019, 14, 33–48. [Google Scholar] [CrossRef]
  26. Cheng, Y.-S.; Kuo, N.-T.; Chang, K.-C.; Chen, C.-H. How a Tour Guide Interpretation Service Creates Intention to Revisit for Tourists from Mainland China: The Mediating Effect of Perceived Value. J. China Tour. Res. 2019, 15, 84–104. [Google Scholar] [CrossRef]
  27. Zhai, X.; Luo, Q.; Wang, L. Why tourists engage in online collective actions in times of crisis: Exploring the role of group relative deprivation. J. Destin. Mark. Manag. 2020, 16, 100414. [Google Scholar] [CrossRef]
  28. Kim, D.; Hyun, H.; Park, J. The effect of interior color on customers’ aesthetic perception, emotion, and behavior in the luxury service. J. Retail. Consum. Serv. 2020, 57, 102252. [Google Scholar] [CrossRef]
  29. Zheng, W.; Qiu, H.; Morrison, A.M.; Wei, W.; Zhang, X. Rural and Urban Land Tourism and Destination Image: A Dual-Case Study Approach Examining Energy-Saving Behavior and Loyalty. Land 2022, 11, 146. [Google Scholar] [CrossRef]
  30. Su, L.; Chen, H.; Huang, Y. The influence of tourists’ monetary and temporal sunk costs on destination trust and visit intention. Tour. Manag. Perspect. 2022, 42, 100968. [Google Scholar] [CrossRef]
  31. Sultana, N.; Amin, S.; Islam, A. Influence of perceived environmental knowledge and environmental concern on customers’ green hotel visit intention: Mediating role of green trust. Asia-Pac. J. Bus. Adm. 2022, 14, 223–243. [Google Scholar] [CrossRef]
  32. Mehrabian, A.; Russell, J.A. An Approach to Environmental Psychology; The MIT Press: Cambridge, MA, USA, 1974. [Google Scholar]
  33. Renart, A.; Machens, C.K. Variability in neural activity and behavior. Curr. Opin. Neurobiol. 2014, 25, 211–220. [Google Scholar] [CrossRef]
  34. Song, S.; Yao, X.; Wen, N. What motivates Chinese consumers to avoid information about the COVID-19 pandemic?: The perspective of the stimulus-organism-response model. Inf. Process. Manag. 2021, 58, 102407. [Google Scholar] [CrossRef]
  35. Kim, J.-H.; Park, J.-W. The Effect of Airport Self-Service Characteristics on Passengers’ Perceived Value, Satisfaction, and Behavioral Intention: Based on the SOR Model. Sustainability 2019, 11, 5352. [Google Scholar] [CrossRef]
  36. Kim, K.; Han, S.-L.; Jang, Y.-Y.; Shin, Y.-C. The Effects of the Antecedents of “Buy-Online-Pick-Up-In-Store” Service on Consumer’s BOPIS Choice Behaviour. Sustainability 2020, 12, 9989. [Google Scholar] [CrossRef]
  37. Akhtar, N.; Jin, S.; Alvi, T.H.; Siddiqi, U.I. Conflicting halal attributes at halal restaurants and consumers’ responses: The moderating role of religiosity. J. Hosp. Tour. Manag. 2020, 45, 499–510. [Google Scholar] [CrossRef]
  38. Al-Ansi, A.; Han, H. Role of halal-friendly destination performances, value, satisfaction, and trust in generating destination image and loyalty. J. Destin. Mark. Manag. 2019, 13, 51–60. [Google Scholar] [CrossRef]
  39. Eid, R.; El-Gohary, H. The role of Islamic religiosity on the relationship between perceived value and tourist satisfaction. Tour. Manag. 2015, 46, 477–488. [Google Scholar] [CrossRef]
  40. Wardi, Y.; Abror, A.; Trinanda, O. Halal tourism: Antecedent of tourist’s satisfaction and word of mouth (WOM). Asia Pac. J. Tour. Res. 2018, 23, 463–472. [Google Scholar] [CrossRef]
  41. El-Gohary, H. Halal tourism, is it really Halal? Tour. Manag. Perspect. 2016, 19, 124–130. [Google Scholar] [CrossRef]
  42. Eid, R. Integrating Muslim Customer Perceived Value, Satisfaction, Loyalty and Retention in the Tourism Industry: An empirical study: Muslim Customer Perceived Value. Int. J. Tour. Res. 2015, 17, 249–260. [Google Scholar] [CrossRef]
  43. Stephenson, M.L. Deciphering ‘Islamic hospitality’: Developments, challenges and opportunities. Tour. Manag. 2014, 40, 155–164. [Google Scholar] [CrossRef]
  44. Lari, L.A.D.A.; Iyanna, S.; Jabeen, F. Islamic and Muslim tourism: Service quality and theme parks in the UAE. Tour. Rev. 2019, 75, 402–413. [Google Scholar] [CrossRef]
  45. Rahman, M.K.; Sarker, M.; Hassan, A. Medical Tourism: The Islamic Perspective. In Tourism Products and Services in Bangladesh; Hassan, A., Ed.; Springer: Singapore, 2021; pp. 87–99. ISBN 978-981-334-278-1. [Google Scholar]
  46. Razzaq, S.; Hall, C.M.; Prayag, G. The capacity of New Zealand to accommodate the halal tourism market—Or not. Tour. Manag. Perspect. 2016, 18, 92–97. [Google Scholar] [CrossRef]
  47. Adel, A.M.; Dai, X.; Yan, C.; Roshdy, R.S. Halal strategies on official government tourism websites: An extension and validation study. Tour. Hosp. Res. 2021, 21, 229–244. [Google Scholar] [CrossRef]
  48. Alserhan, B.A.; Wood, B.P.; Rutter, R.; Halkias, D.; Terzi, H.; Al Serhan, O. The transparency of Islamic hotels: “Nice Islam” and the “self-orientalizing” of Muslims? Int. J. Tour. Res. 2018, 20, 475–487. [Google Scholar] [CrossRef]
  49. Battour, M.; Ismail, M.N.; Battor, M. The impact of destination attributes on Muslim tourist’s choice: Marketing Travel Destinations to Muslim Tourists. Int. J. Tour. Res. 2011, 13, 527–540. [Google Scholar] [CrossRef]
  50. Battour, M.; Ismail, M.N. Halal tourism: Concepts, practises, challenges and future. Tour. Manag. Perspect. 2016, 19, 150–154. [Google Scholar] [CrossRef]
  51. Papastathopoulos, A.; Koritos, C.; Mertzanis, C. Effects of faith-based attributes on hotel prices: The case of halal services. Int. J. Contemp. Hosp. Manag. 2021, 33, 2839–2861. [Google Scholar] [CrossRef]
  52. Papastathopoulos, A.; Kaminakis, K.; Mertzanis, C. What services do Muslim tourists want? Uncovering nonlinear relationships and unobserved heterogeneity. Tour. Manag. Perspect. 2020, 35, 100720. [Google Scholar] [CrossRef]
  53. Rahman, M.; Moghavvemi, S.; Thirumoorthi, T.; Rahman, M.K. The impact of tourists’ perceptions on halal tourism destination: A structural model analysis. Tour. Rev. 2020, 75, 575–594. [Google Scholar] [CrossRef]
  54. Han, H.; Lho, L.H.; Raposo, A.; Radic, A.; Ngah, A.H. Halal Food Performance and Its Influence on Patron Retention Process at Tourism Destination. Int. J. Environ. Res. Public Health 2021, 18, 3034. [Google Scholar] [CrossRef]
  55. Fiore, A.M.; Kim, J. An integrative framework capturing experiential and utilitarian shopping experience. Int. J. Retail Distrib. Manag. 2007, 35, 421–442. [Google Scholar] [CrossRef] [Green Version]
  56. Peng, C.; Kim, Y.G. Application of the Stimuli-Organism-Response (S-O-R) Framework to Online Shopping Behavior. J. Internet Commer. 2014, 13, 159–176. [Google Scholar] [CrossRef]
  57. Sherman, E.; Mathur, A.; Smith, R.B. Store environment and consumer purchase behavior: Mediating role of consumer emotions. Psychol. Mark. 1997, 14, 361–378. [Google Scholar] [CrossRef]
  58. Ledoux, J.E. Cognitive-Emotional Interactions in the Brain. Cogn. Emot. 1989, 3, 267–289. [Google Scholar] [CrossRef]
  59. Lai, S.; Zhang, S.; Zhang, L.; Tseng, H.-W.; Shiau, Y.-C. Study on the Influence of Cultural Contact and Tourism Memory on the Intention to Revisit: A Case Study of Cultural and Creative Districts. Sustainability 2021, 13, 2416. [Google Scholar] [CrossRef]
  60. Ge, Y.; Qiu, J.; Liu, Z.; Gu, W.; Xu, L. Beyond negative and positive: Exploring the effects of emotions in social media during the stock market crash. Inf. Process. Manag. 2020, 57, 102218. [Google Scholar] [CrossRef]
  61. Kucukergin, K.G.; Kucukergin, F.N.; Dedeoglu, B.B. An overview of the destination physical servicescape with SOR paradigm: The importance of prestige sensitivity. Asia Pac. J. Tour. Res. 2020, 25, 473–488. [Google Scholar] [CrossRef]
  62. Anh, N.T.; Dung, N.H.; Thu, D.T. Privatization in Rural Water Supply and Customer Satisfaction: An Empirical Case Study in Vietnam. Sustainability 2022, 14, 5537. [Google Scholar] [CrossRef]
  63. Jeong, Y.; Kim, S. A study of event quality, destination image, perceived value, tourist satisfaction, and destination loyalty among sport tourists. Asia Pac. J. Mark. Logist. 2019, 32, 940–960. [Google Scholar] [CrossRef]
  64. Tsai, H.; Fong, L.H.N. Casino-induced satisfaction of needs and casino customer loyalty: The moderating role of subjective norms and perceived gaming value: Article. J. Travel Tour. Mark. 2021, 38, 478–490. [Google Scholar] [CrossRef]
  65. Su, Y.; Xu, J.; Sotiriadis, M.; Shen, S. Authenticity, Perceived Value and Loyalty in Marine Tourism Destinations: The Case of Zhoushan, Zhejiang Province, China. Sustainability 2021, 13, 3716. [Google Scholar] [CrossRef]
  66. Lestari, Y.D.; Saidah, F.; Aliya Putri, A.N. Effect of destination competitiveness attributes on tourists’ intention to visit halal tourism destination in Indonesia. J. Islam. Mark. 2022; ahead-of-print. [Google Scholar] [CrossRef]
  67. Mursid, A.; Wu, C.H.-J. Halal company identity and halal restaurant loyalty: The role of customer satisfaction, customer trust and customer-company identification. J. Islam. Mark. 2021; ahead-of-print. [Google Scholar] [CrossRef]
  68. Akamavi, R.K.; Mohamed, E.; Pellmann, K.; Xu, Y. Key determinants of passenger loyalty in the low-cost airline business. Tour. Manag. 2015, 46, 528–545. [Google Scholar] [CrossRef]
  69. Kim, M.; Thapa, B. Perceived value and flow experience: Application in a nature-based tourism context. J. Destin. Mark. Manag. 2018, 8, 373–384. [Google Scholar] [CrossRef]
  70. Molinillo, S.; Aguilar-Illescas, R.; Anaya-Sánchez, R.; Liébana-Cabanillas, F. Social commerce website design, perceived value and loyalty behavior intentions: The moderating roles of gender, age and frequency of use. J. Retail. Consum. Serv. 2021, 63, 102404. [Google Scholar] [CrossRef]
  71. Sánchez, J.; Callarisa, L.; Rodríguez, R.M.; Moliner, M.A. Perceived value of the purchase of a tourism product. Tour. Manag. 2006, 27, 394–409. [Google Scholar] [CrossRef]
  72. Stein, K.F. Schema Model of the Self-Concept. Image J. Nurs. Sch. 1995, 27, 187–193. [Google Scholar] [CrossRef]
  73. Hoffmann, E. Consumer integration in sustainable product development. Bus. Strategy Environ. 2007, 16, 322–338. [Google Scholar] [CrossRef]
  74. Li, Z.; Shu, S.; Shao, J.; Booth, E.; Morrison, A.M. Innovative or Not? The Effects of Consumer Perceived Value on Purchase Intentions for the Palace Museum’s Cultural and Creative Products. Sustainability 2021, 13, 2412. [Google Scholar] [CrossRef]
  75. Mursid, A.; Anoraga, P. Halal destination attributes and revisits intention: The role of destination attractiveness and perceived value. Int. J. Tour. Cities 2022, 8, 513–528. [Google Scholar] [CrossRef]
  76. Han, H.; Kiatkawsin, K.; Kim, W.; Lee, S. Investigating customer loyalty formation for wellness spa: Individualism vs. collectivism. Int. J. Hosp. Manag. 2017, 67, 11–23. [Google Scholar] [CrossRef]
  77. Abror, A.; Patrisia, D.; Engriani, Y.; Omar, M.W.; Wardi, Y.; Noor, N.M.B.M.; Sabir Ahmad, S.S.; Najib, M. Perceived risk and tourist’s trust: The roles of perceived value and religiosity. J. Islam. Mark. 2021; ahead-of-print. [Google Scholar] [CrossRef]
  78. Abubakar, A.M.; Ilkan, M.; Meshall Al-Tal, R.; Eluwole, K.K. eWOM, revisit intention, destination trust and gender. J. Hosp. Tour. Manag. 2017, 31, 220–227. [Google Scholar] [CrossRef]
  79. Abubakar, A.M.; Ilkan, M. Impact of online WOM on destination trust and intention to travel: A medical tourism perspective. J. Destin. Mark. Manag. 2016, 5, 192–201. [Google Scholar] [CrossRef]
  80. Shipp, A.J.; Edwards, J.R.; Lambert, L.S. Conceptualization and measurement of temporal focus: The subjective experience of the past, present, and future. Organ. Behav. Hum. Decis. Process. 2009, 110, 1–22. [Google Scholar] [CrossRef]
  81. Chen, Y.; Chang, C. Towards green trust: The influences of green perceived quality, green perceived risk, and green satisfaction. Manag. Decis. 2013, 51, 63–82. [Google Scholar] [CrossRef]
  82. Jago, L.; Chalip, L.; Brown, G.; Mules, T.; Ali, S. Building Events Into Destination Branding: Insights From Experts. Event Manag. 2003, 8, 3–14. [Google Scholar] [CrossRef]
  83. Reza Jalilvand, M.; Samiei, N.; Dini, B.; Yaghoubi Manzari, P. Examining the structural relationships of electronic word of mouth, destination image, tourist attitude toward destination and travel intention: An integrated approach. J. Destin. Mark. Manag. 2012, 1, 134–143. [Google Scholar] [CrossRef]
  84. Um, S.; Chon, K.; Ro, Y. Antecedents of revisit intention. Ann. Tour. Res. 2006, 33, 1141–1158. [Google Scholar] [CrossRef]
  85. Su, L.; Lian, Q.; Huang, Y. How do tourists’ attribution of destination social responsibility motives impact trust and intention to visit? The moderating role of destination reputation. Tour. Manag. 2020, 77, 103970. [Google Scholar] [CrossRef]
  86. Tan, W.-K.; Wu, C.-E. An investigation of the relationships among destination familiarity, destination image and future visit intention. J. Destin. Mark. Manag. 2016, 5, 214–226. [Google Scholar] [CrossRef]
  87. Fricke, K.; Vogel, S. How interindividual differences shape approach-avoidance behavior: Relating self-report and diagnostic measures of interindividual differences to behavioral measurements of approach and avoidance. Neurosci. Biobehav. Rev. 2020, 111, 30–56. [Google Scholar] [CrossRef] [PubMed]
  88. Dickson, K.S.; Ciesla, J.A.; Reilly, L.C. Rumination, Worry, Cognitive Avoidance, and Behavioral Avoidance: Examination of Temporal Effects. Behav. Ther. 2012, 43, 629–640. [Google Scholar] [CrossRef]
  89. Hui-Wen Chuah, S.; Sujanto, R.Y.; Sulistiawan, J.; Cheng-Xi Aw, E. What is holding customers back? Assessing the moderating roles of personal and social norms on CSR’S routes to Airbnb repurchase intention in the COVID-19 era. J. Hosp. Tour. Manag. 2022, 50, 67–82. [Google Scholar] [CrossRef]
  90. de la Hoz-Correa, A.; Muñoz-Leiva, F. The role of information sources and image on the intention to visit a medical tourism destination: A cross-cultural analysis. J. Travel Tour. Mark. 2019, 36, 204–219. [Google Scholar] [CrossRef]
  91. Hung, V.V.; Dey, S.K.; Vaculcikova, Z.; Anh, L.T.H. The Influence of Tourists’ Experience on Destination Loyalty: A Case Study of Hue City, Vietnam. Sustainability 2021, 13, 8889. [Google Scholar] [CrossRef]
  92. Kani, Y.; Aziz, Y.A.; Sambasivan, M.; Bojei, J. Antecedents and outcomes of destination image of Malaysia. J. Hosp. Tour. Manag. 2017, 32, 89–98. [Google Scholar] [CrossRef]
  93. Xu, Q.; Hwang, B.-G.; Lu, Y. Households’ acceptance analysis of a marketized behavioral intervention—Household energy-saving option. J. Clean. Prod. 2021, 318, 128493. [Google Scholar] [CrossRef]
  94. Reisinger, Y.; Crotts, J.C. An empirical analysis of young adult Kuwaiti nationals’ intention to travel to non-Muslim countries. J. Tour. Cult. Chang. 2022, 20, 241–272. [Google Scholar] [CrossRef]
  95. Ryu, K.; Lee, H.; Gon Kim, W. The influence of the quality of the physical environment, food, and service on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions. Int. J. Contemp. Hosp. Manag. 2012, 24, 200–223. [Google Scholar] [CrossRef]
  96. Liu, W.; Shih, H.-P. How do search-based and experience-based information matter in the evaluation of user satisfaction? The case of TripAdvisor. Aslib J. Inf. Manag. 2021, 73, 659–678. [Google Scholar] [CrossRef]
  97. Almeida-Santana, A.; Moreno-Gil, S. Understanding tourism loyalty: Horizontal vs. destination loyalty. Tour. Manag. 2018, 65, 245–255. [Google Scholar] [CrossRef]
  98. Yoon, Y.; Uysal, M. An examination of the effects of motivation and satisfaction on destination loyalty: A structural model. Tour. Manag. 2005, 26, 45–56. [Google Scholar] [CrossRef]
  99. Li, M.; Cai, L.A.; Lehto, X.Y.; Huang, J.Z. A Missing Link in Understanding Revisit Intention—The Role of Motivation and Image. J. Travel Tour. Mark. 2010, 27, 335–348. [Google Scholar] [CrossRef]
  100. Jang, S.S.; Feng, R. Temporal destination revisit intention: The effects of novelty seeking and satisfaction. Tour. Manag. 2007, 28, 580–590. [Google Scholar] [CrossRef]
  101. Zhang, H.; Wu, Y.; Buhalis, D. A model of perceived image, memorable tourism experiences and revisit intention. J. Destin. Mark. Manag. 2018, 8, 326–336. [Google Scholar] [CrossRef]
  102. Verma, V.K.; Chandra, B.; Kumar, S. Values and ascribed responsibility to predict consumers’ attitude and concern towards green hotel visit intention. J. Bus. Res. 2019, 96, 206–216. [Google Scholar] [CrossRef]
  103. Verma, V.K.; Chandra, B. An application of theory of planned behavior to predict young Indian consumers’ green hotel visit intention. J. Clean. Prod. 2018, 172, 1152–1162. [Google Scholar] [CrossRef]
  104. Ozolins, U.; Hale, S.; Cheng, X.; Hyatt, A.; Schofield, P. Translation and back-translation methodology in health research—A critique. Expert Rev. Pharmacoecon. Outcomes Res. 2020, 20, 69–77. [Google Scholar] [CrossRef]
  105. Kang, O.; Thomson, R.I.; Moran, M. Empirical Approaches to Measuring the Intelligibility of Different Varieties of English in Predicting Listener Comprehension: Measuring Intelligibility in Varieties of English. Lang. Learn. 2018, 68, 115–146. [Google Scholar] [CrossRef]
  106. Salamonson, Y.; Glew, P.; Everett, B.; Woodmass, J.M.; Lynch, J.; Ramjan, L.M. Language support improves oral communication skills of undergraduate nursing students: A 6-month follow-up survey. Nurse Educ. Today 2019, 72, 54–60. [Google Scholar] [CrossRef] [PubMed]
  107. Rhondali, W.; Girard, R.; Saltel, P.; Lloyd-Williams, M.; Filbet, M. Validity and acceptability of a French-language version of the Brief Edinburgh Depression Scale. Prog. Palliat. Care 2012, 20, 1–6. [Google Scholar] [CrossRef]
  108. Sousa, V.D.; Rojjanasrirat, W. Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: A clear and user-friendly guideline: Validation of instruments or scales. J. Eval. Clin. Pract. 2011, 17, 268–274. [Google Scholar] [CrossRef] [PubMed]
  109. Carrera, P.M.; Bridges, J.F. Globalization and healthcare: Understanding health and medical tourism. Expert Rev. Pharmacoecon. Outcomes Res. 2006, 6, 447–454. [Google Scholar] [CrossRef] [PubMed]
  110. Han, H. The healthcare hotel: Distinctive attributes for international medical travelers. Tour. Manag. 2013, 36, 257–268. [Google Scholar] [CrossRef]
  111. Gosens, T.; Hoefnagels, N.H.M.; de Vet, R.C.W.; Dhert, W.J.A.; van Langelaan, E.J.; Bulstra, S.K.; Geesink, R.G.T. The “Oxford Heup Score”: The translation and validation of a questionnaire into Dutch to evaluate the results of total hip arthroplasty. Acta Orthop. 2005, 76, 204–211. [Google Scholar] [CrossRef]
  112. Muharam, I.N.; Asutay, M. Online disclosure practices of halal-friendly hotels. J. Islam. Mark. 2022, 13, 119–132. [Google Scholar] [CrossRef]
  113. Wingett, F.; Turnbull, S. Halal holidays: Exploring expectations of Muslim-friendly holidays. J. Islam. Mark. 2017, 8, 642–655. [Google Scholar] [CrossRef]
  114. Atzeni, M.; Del Chiappa, G.; Mei Pung, J. Enhancing visit intention in heritage tourism: The role of object-based and existential authenticity in non-immersive virtual reality heritage experiences. Int. J. Tour. Res. 2022, 24, 240–255. [Google Scholar] [CrossRef]
  115. Dash, G.; Paul, J. CB-SEM vs. PLS-SEM methods for research in social sciences and technology forecasting. Technol. Forecast. Soc. Chang. 2021, 173, 121092. [Google Scholar] [CrossRef]
  116. Nunkoo, R.; Ramkissoon, H.; Gursoy, D. Use of Structural Equation Modeling in Tourism Research: Past, Present, and Future. J. Travel Res. 2013, 52, 759–771. [Google Scholar] [CrossRef]
  117. Guarte, J.M.; Barrios, E.B. Estimation Under Purposive Sampling. Commun. Stat. -Simul. Comput. 2006, 35, 277–284. [Google Scholar] [CrossRef]
  118. Ragab, H.; Mahrous, A.A.; Ghoneim, A. Egypt’s perceived destination image and its impact on tourist’s future behavioural intentions. Int. J. Tour. Cities 2019, 6, 449–466. [Google Scholar] [CrossRef]
  119. Hair, J.F., Jr.; Sarstedt, M.; Hopkins, L.; Kuppelwieser, V.G. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. Eur. Bus. Rev. 2014, 26, 106–121. [Google Scholar] [CrossRef]
  120. Kim, K.-H.; Park, D.-B. Relationships Among Perceived Value, Satisfaction, and Loyalty: Community-Based Ecotourism in Korea. J. Travel Tour. Mark. 2017, 34, 171–191. [Google Scholar] [CrossRef]
  121. Becker, J.-M.; Klein, K.; Wetzels, M. Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models. Long Range Plann. 2012, 45, 359–394. [Google Scholar] [CrossRef]
  122. Sarstedt, M.; Hair, J.F.; Cheah, J.-H.; Becker, J.-M.; Ringle, C.M. How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM. Australas. Mark. J. 2019, 27, 197–211. [Google Scholar] [CrossRef]
  123. Thien, L.M. Assessing a second-order quality of school life construct using partial least squares structural equation modelling approach. Int. J. Res. Method Educ. 2020, 43, 243–256. [Google Scholar] [CrossRef]
  124. Min, H.; Park, J.; Kim, H.J. Common method bias in hospitality research: A critical review of literature and an empirical study. Int. J. Hosp. Manag. 2016, 56, 126–135. [Google Scholar] [CrossRef]
  125. Babin, B.J.; Griffin, M.; Hair, J.F. Heresies and sacred cows in scholarly marketing publications. J. Bus. Res. 2016, 69, 3133–3138. [Google Scholar] [CrossRef]
  126. Kock, N.; Lynn, G. Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations. J. Assoc. Inf. Syst. 2012, 13, 546–580. [Google Scholar] [CrossRef]
  127. Midi, H.; Sarkar, S.K.; Rana, S. Collinearity diagnostics of binary logistic regression model. J. Interdiscip. Math. 2010, 13, 253–267. [Google Scholar] [CrossRef]
  128. Hair, J.F.; Hult, G.T.M.; Ringle, C.M.; Sarstedt, M.; Thiele, K.O. Mirror, mirror on the wall: A comparative evaluation of composite-based structural equation modeling methods. J. Acad. Mark. Sci. 2017, 45, 616–632. [Google Scholar] [CrossRef]
  129. Peter, J.P.; Churchill, G.A. Relationships among Research Design Choices and Psychometric Properties of Rating Scales: A Meta-Analysis. J. Mark. Res. 1986, 23, 1–10. [Google Scholar] [CrossRef]
  130. Azis, N.; Amin, M.; Chan, S.; Aprilia, C. How smart tourism technologies affect tourist destination loyalty. J. Hosp. Tour. Technol. 2020, 11, 603–625. [Google Scholar] [CrossRef]
  131. Akter, S.; Fosso Wamba, S.; Dewan, S. Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality. Prod. Plan. Control 2017, 28, 1011–1021. [Google Scholar] [CrossRef]
  132. Hair, J.F.; Risher, J.J.; Sarstedt, M.; Ringle, C.M. When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 2019, 31, 2–24. [Google Scholar] [CrossRef]
  133. Rönkkö, M.; Cho, E. An Updated Guideline for Assessing Discriminant Validity. Organ. Res. Methods 2022, 25, 6–14. [Google Scholar] [CrossRef]
  134. Henseler, J.; Ringle, C.M.; Sarstedt, M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 2015, 43, 115–135. [Google Scholar] [CrossRef]
  135. Battour, M.; Ismail, M.N.; Battor, M.; Awais, M. Islamic tourism: An empirical examination of travel motivation and satisfaction in Malaysia. Curr. Issues Tour. 2017, 20, 50–67. [Google Scholar] [CrossRef]
  136. Jiang, J.; Zhang, J.; Zhang, H.; Yan, B. Natural soundscapes and tourist loyalty to nature-based tourism destinations: The mediating effect of tourist satisfaction. J. Travel Tour. Mark. 2018, 35, 218–230. [Google Scholar] [CrossRef]
  137. Rahman, M.; Rana, M.S.; Hoque, M.N.; Rahman, M.K. Brand perception of halal tourism services and satisfaction: The mediating role of tourists’ attitudes. Int. J. Tour. Sci. 2019, 19, 18–37. [Google Scholar] [CrossRef]
  138. Baron, R.M.; Kenny, D.A. The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J. Pers. Soc. Psychol. 1986, 51, 1173–1182. [Google Scholar] [CrossRef] [PubMed]
  139. Juliana, J.; Putri, F.F.; Wulandari, N.S.; Saripudin, U.; Marlina, R. Muslim tourist perceived value on revisit intention to Bandung city with customer satisfaction as intervening variables. J. Islam. Mark. 2022, 13, 161–176. [Google Scholar] [CrossRef]
  140. Muneeza, A.; Mustapha, Z.; Nashwa Badeeu, F.; Reesha Nafiz, A. Need to pioneer Islamic tourism in tourist resorts in Maldives. J. Islam. Mark. 2019, 11, 895–916. [Google Scholar] [CrossRef]
  141. Setiawan, P.Y.; Purbadharmaja, I.B.P.; Widanta, A.A.B.P.; Hayashi, T. How electronic word of mouth (e-WOM) triggers intention to visit through destination image, trust and satisfaction: The perception of a potential tourist in Japan and Indonesia. Online Inf. Rev. 2021, 45, 861–878. [Google Scholar] [CrossRef]
  142. Cheung, M.L.; Ting, H.; Cheah, J.-H.; Sharipudin, M.-N.S. Examining the role of social media-based destination brand community in evoking tourists’ emotions and intention to co-create and visit. J. Prod. Brand Manag. 2021, 30, 28–43. [Google Scholar] [CrossRef]
  143. Sultan, P.; Wong, H.Y.; Azam, M.S. How perceived communication source and food value stimulate purchase intention of organic food: An examination of the stimulus-organism-response (SOR) model. J. Clean. Prod. 2021, 312, 127807. [Google Scholar] [CrossRef]
  144. Yang, Y.; Chen, G. In search of fresher air: The influence of relative air quality on vacationers’ perceptions of destinations’ restorative qualities. Int. J. Tour. Res. 2021, 23, 504–516. [Google Scholar] [CrossRef]
  145. Mencarelli, R.; Lombart, C. Influences of the perceived value on actual repurchasing behavior: Empirical exploration in a retailing context. J. Retail. Consum. Serv. 2017, 38, 12–21. [Google Scholar] [CrossRef] [Green Version]
  146. Ibrahim, B.; Aljarah, A.; Sawaftah, D. Linking Social Media Marketing Activities to Revisit Intention through Brand Trust and Brand Loyalty on the Coffee Shop Facebook Pages: Exploring Sequential Mediation Mechanism. Sustainability 2021, 13, 2277. [Google Scholar] [CrossRef]
  147. Zhu, L.; Li, H.; Wang, F.-K.; He, W.; Tian, Z. How online reviews affect purchase intention: A new model based on the stimulus-organism-response (S-O-R) framework. Aslib J. Inf. Manag. 2020, 72, 463–488. [Google Scholar] [CrossRef]
  148. Cuesta-Valiño, P.; Bolifa, F.; Núñez-Barriopedro, E. Sustainable, Smart and Muslim-Friendly Tourist Destinations. Sustainability 2020, 12, 1778. [Google Scholar] [CrossRef]
  149. Camilleri, M.A. Market Segmentation, Targeting and Positioning. In Travel Marketing, Tourism Economics and the Airline Product; Tourism Hospitality & Event Management; Springer International Publishing: Cham, Switzerland, 2018; pp. 69–83. ISBN 978-3-319-49848-5. [Google Scholar]
  150. Ahmad, S.Z.; Ahmad, N.; Abu Bakar, A.R. Reflections of entrepreneurs of small and medium-sized enterprises concerning the adoption of social media and its impact on performance outcomes: Evidence from the UAE. Telemat. Inform. 2018, 35, 6–17. [Google Scholar] [CrossRef]
  151. Zephaniah, C.O.; Ogba, I.-E.; Izogo, E.E. Examining the effect of customers’ perception of bank marketing communication on customer loyalty. Sci. Afr. 2020, 8, e00383. [Google Scholar] [CrossRef]
  152. Wang, C.L. New frontiers and future directions in interactive marketing: Inaugural Editorial. J. Res. Interact. Mark. 2021, 15, 1–9. [Google Scholar] [CrossRef]
  153. Bencsik Andrea, A.; Horváth-Csikós, G.; Juhász Tímea, G. Y and Z Generations at Workplaces. J. Compet. 2016, 6, 90–106. [Google Scholar] [CrossRef]
  154. Mavletova, A.; Couper, M.P. Device use in Web Surveys: The effect of differential incentives. Int. J. Mark. Res. 2016, 58, 523–544. [Google Scholar] [CrossRef] [Green Version]
  155. Bencsik, A.; Machová, R.; Zsigmond, T. Analysing customer behaviour in mobile app usage among the representatives of generation X and generation Y. J. Appl. Econ. Sci. 2018, XIII, 1668–1677. [Google Scholar]
Figure 1. Conceptual model. H: hypothesis.
Figure 1. Conceptual model. H: hypothesis.
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Figure 2. Results of assessment of structural model.
Figure 2. Results of assessment of structural model.
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Table 1. Demographic characteristics of respondents (n = 307).
Table 1. Demographic characteristics of respondents (n = 307).
ItemsFrequencyPercentage (%)
Gender
Male11637.79
Female19162.21
Age
19–25 years old6320.52
25–30 years old11938.76
31–35 years old299.45
36–40 years old3110.10
41–45 years old3310.75
46–50 years old206.51
51–55 years old61.95
56–60 years old51.63
Over 60 years old10.33
Education
Diploma237.49
Undergraduate Degree154.89
Graduate Degree26285.34
Postgraduate Degree/higher72.28
Occupation
Manager165.21
Non-Manager247.82
Self-employed30.97
Housewife103.26
Student216.84
Others23375.90
Income (Monthly)
Under THB 15,001 11236.48
THB 15,001–30,000 12841.70
THB 30,001–45,000 3511.40
Over THB 45,000 289.12
Others41.30
Note: THB: Thai Baht.
Table 2. Result of full collinearity.
Table 2. Result of full collinearity.
Laten VariableRandom Dummy Variable (VIF)
Halal-friendly attributes1.240
Perceived value1.468
Destination trust1.740
Visit intention1.545
Note: VIF (Variance Inflation Factor).
Table 3. Reliability coefficients of the constructs.
Table 3. Reliability coefficients of the constructs.
ConstructLatent VariablesFactor LoadingCronbach’s AlphaCRAVE
First-order
Perceive value0.9540.9610.756
PV5Product and services offered meant I would feel relaxed0.902
PV8The product and services offered at the destination made a good impression on other people0.893
PV6The product and services offered at the destination gave me a positive feeling0.888
PV2The product and services offered had an acceptable level of quality0.873
Destination trust0.9350.9470.719
DT4I believe that Taiwan will satisfy me0.886
DT5I believe that Taiwan will meet my needs0.862
DT7I believe Taiwanese people are more welcome0.854
DT2I believe that Taiwan will not make me disappointed0.853
Visit intention0.8710.9130.724
VI4I will make an effort to visit Taiwan0.898
VI1I plan to visit Taiwan someday0.891
VI3I am willing to visit Taiwan0.857
VI2I intend to visit Taiwan in the near future 0.760
Note: All loadings are significant at level p < 0.001 using bootstrapping with 5000 samples. AVE: average variance extracted; CR: composite reliability.
Table 4. Discriminant validity using HTMT ratio.
Table 4. Discriminant validity using HTMT ratio.
ConstructsPVTRVI
PV
TR0.521
VI0.5100.602
Table 5. The VIF values of formative measurement.
Table 5. The VIF values of formative measurement.
ConstructDimensionWeightsConfidence Intervals Bias CorrectedVIF
Second-order
Halal-friendly attributesIslamic physical attributes0.556[0.245, 0.816]1.309
Islamic non-physical attributes0.604[0.290, 0.873]1.309
All loadings are significant at a VIF of less than 5 with 5000 sample bootstrapping. VIF: variance inflation factor.
Table 6. Results indicate the hypothesis model using partial least squares (PLS).
Table 6. Results indicate the hypothesis model using partial least squares (PLS).
HypothesisDirect/Indirect EffectPath CoefficientConfidence Interval (95%) Bias CorrectedSupported
Hypothesis 1HFA → PV0.336[0.170, 0.476]Yes
Hypothesis 2HFA → VI−0.022[−0.150, 0.112]No
Hypothesis 3HFA → PV → VI0.088[0.040, 0.151]Yes
Hypothesis 4HFA → TR0.278[0.141, 0.399]Yes
Hypothesis 5PV → DT0.401[0.296, 0.502]Yes
Hypothesis 6HFA → DT → VI0.265[0.148, 0.382]Yes
Hypothesis 7PV → VI0.262[0.142, 0.375]Yes
Hypothesis 8DT → VI0.429[0.308, 0.545]Yes
Note: A bootstrapping procedure of 5000 samples was conducted.
Table 7. Mediating effects of the proposed research model.
Table 7. Mediating effects of the proposed research model.
Four Major Conditions to InvestigateBeta (β)t-Value
Condition 1: independent variable on outcome variable
Halal-friendly attributes → visit intention

0.265

4.365 ***
Condition 2: independent variable on presumed mediator variable
Halal-friendly attributes → perceived value
Halal-friendly attributes → destination trust

0.336
0.278

4.305 ***
4.266 ***
Condition 3: presumed mediator variable on the outcome variable
Perceived value → visit intention
Destination trust → visit intention

0.262
0.429

4.444 ***
7.140 ***
Condition 4: independent variable and outcome variable
Halal-friendly attributes → visit intention

−0.022

0.340
Note: *** p < 0.001.
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Sodawan, A.; Hsu, R.L.-W. Halal-Friendly Attributes and Muslims’ Visit Intention: Exploring the Roles of Perceived Value and Destination Trust. Sustainability 2022, 14, 12002. https://doi.org/10.3390/su141912002

AMA Style

Sodawan A, Hsu RL-W. Halal-Friendly Attributes and Muslims’ Visit Intention: Exploring the Roles of Perceived Value and Destination Trust. Sustainability. 2022; 14(19):12002. https://doi.org/10.3390/su141912002

Chicago/Turabian Style

Sodawan, Ammarn, and Robert Li-Wei Hsu. 2022. "Halal-Friendly Attributes and Muslims’ Visit Intention: Exploring the Roles of Perceived Value and Destination Trust" Sustainability 14, no. 19: 12002. https://doi.org/10.3390/su141912002

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