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Article

Education Beats at the Heart of the Sustainability in Thailand: The Role of Institutional Awareness, Image, Experience, and Student Volunteer Behavior

1
Faculty of Hospitality and Tourism, Prince of Songkla University, Phuket Campus, Phuket 83120, Thailand
2
Faculty of Management in Production and Transportation, Politehnica University of Timisoara, 300191 Timisoara, Romania
3
Head, Sustainable Cooperative Business Group (RIG), Faculty Business and Management, University Teknologi MARA, Sarawak Branch, Jalan Meranek, Kota Samarahan 94300, Sarawak, Malaysia
*
Authors to whom correspondence should be addressed.
Sustainability 2023, 15(2), 918; https://doi.org/10.3390/su15020918
Submission received: 10 November 2022 / Revised: 23 December 2022 / Accepted: 27 December 2022 / Published: 4 January 2023

Abstract

:
The grim effects of COVID-19 have widely obstructed every sector of life, and the education sector is not an exception. The physical meeting restrictions, lockdowns, social distancing, and movement control orders increased the dropouts of students in educational institutes. These dropouts compromised the contribution of the educational sector to the gross domestic product (GDP) and worsened the economic situation. The spike of COVID-19 shaped a curve of fears, and students are clueless as to how to mitigate its affects. Therefore, this study proposes an implication of a rare phenomenon termed as student volunteering behavior. Student volunteering behavior has the capacity to turn existing students into advocates of the institute, a great assistance to attract potential students and bring back the dropout students. This study suggests that educational institutes in Thailand should provide a better experience to students, strengthen the institute’s image, and make students aware of their services. Their memorable experiences of institutional services will enhance students’ loyalty and urge them to exhibit volunteering behavior. The result of this study indicates significant fallout of institute experience and image to student loyalty and to the student volunteering behavior. However, the study unveiled insignificant results of the relationship between institute awareness to the student loyalty and student volunteering behavior. Furthermore, the study proposes directions for further studies based on the rarer limitations.

1. Introduction

The education literature has well documented the significance of students’ behavior, and educational institutes have taken it seriously due to its intervention in their services [1]. The focus of education shifted from a tangible centered perspective, e.g., a focus on distinct facilities and tangible offerings, to a service-centered perspective, e.g., intangibles, exchange processes, and relationships [2]. A major striking boost in shifts was noticed after upsurge of COVID-19. COVID-19 changed lifestyles, social practices, businesses, education trends, and student behaviors as well. Social distancing due to COVID-19 restricted physical encounters that affected the learning process of students and their valuable co-creation [3]. Numerous initiatives have been taken into account that include online teachings, virtual services, and access to relevant databases to mitigate issues of co-creation [4]. The situations become intense once educational services are delivered in mass service settings, including online and offline settings. Students influence fellow students through their behaviors in mass service settings [5]. In the education sector, students spend time with each other and share space, facilities, and studies, all of which urge them to interact with each other. The interactions of students strengthen their relationships with each other and their institutes [6].
Constructive behavior of students enriches the experience of fellow students, and they become more engaged with their institutes [7]. However, destructive behavior of students also affects fellow students and spreads negative word of mouth, and it urges fellow students to shift to competitive educational institutes [8]. The mass service settings include hotels, cinemas, transportations, and education institutes, places where the behaviors of individuals shape the behaviors of others due to their frequent interactions.
The interaction of students is an inseparable part of services in educational sectors [9]. This makes it crucial for educational institutes to form the student behavior in their favor to gain positive outcomes of it [10]. The reason behind the forming of student behavior is that it is nearly impossible for educational institutes to focus on each student individually, so they have to form their behavior accordingly [11].
The services literature term this favored and positively biased behavior of students “student volunteering behavior” (SVB) [12,13,14]. Student volunteer behavior encourages students to help fellow students, spread positive word of mouth, tolerate unpleasant situations, and advocate for their educational institute in the presence of fellow students and among competitors [15]. The engagement of students in volunteer acts is not obligatory, but it provides great assistance to the institute [16]. The volunteering behavior of the students helps the institute maintain long-term and profitable relationships with students [17], increase market share and good will in market [4], and attract potential students [18].
There are great number of studies that incorporate volunteering behavior in a diverse perspective by considering its significance and support to institutes and organizations, industries, and distinctive sectors [7,12,19,20,21,22,23,24,25,26]. A review of marketing literature yielded the understanding that the influence of individuals’ behavior on other individuals exists in almost every service sector, including the education sector as well. However, there are limited studies that incorporate volunteering behaviors in the educational sector [22]. In addition, the term student volunteer behavior was first introduced as an extension of customer volunteer behavior, providing profound evidence of the implication, usefulness, advancement, and applicability of volunteering in the educational sector [27].
The importance of the students’ volunteer behavior has been crucially increased in educational sector as there has been a drastic drop observed in revenues, profits, and turnover of students in Thailand due to COVID-19. The students are not tending to return to their institutes, and a 10% rate of student dropout is observed [28]. According to Professor Sompong Jitradub, the director of Civil Society at The Equitable Education Fund (EEF), “This year Thailand is facing a severe education crisis. As a result of the pandemic, poverty and inequality have reached new heights; without assistance or government support, the dropout rate could hike 10 to 15 percent” [29]. Moreover, according to Perry Hobson, pro vice chancellor of Sunway University, current issues and crisis have contributed a lot to stopping students in achieving their targets. It is also noticed that international student enrollment can be flat, and this is a crucial matter to resolve immediately [30].
Based on the arguments, this study proposes the implication of students’ volunteer behavior in Thailand educational institutes as it would attract potential students and help retain current students [17] and maintain long-term and profitable relationships of educational institutes with students [31]. Students’ volunteer behavior is vital for educational institutes’ survival and gaining a competitive advantage because of its assistance to the institutes by enhancing their performance and generating profits [15,18].

2. Literature Review

2.1. Student Volunteer Behavior (SVB)

The volunteer behavior is an emerging concept in marketing and services literature. It was first introduced by Barnard (1938) to highlight the extra role of behaviors of customers in service settings [32]. The volunteer behavior was formally introduced in 19th century and it is still an understudied phenomenon that is operationalized through diverse aspects [19]. Throughout this study, student volunteer behavior is operationalized as an interchangeable term with customer volunteer behavior due to its pertinence in the educational sector. Customer volunteer acts are the biased behavior of customers, the same way students show their belongingness to educational institutes [33].
The educational literature has mentioned four dimensions of student volunteer behavior: helping behavior, feedback, advocacy, and tolerance. Helping behavior refers to the help of fellow students in educational institutes [31]. The students help each other by providing relevant information, giving priority to others, and spreading useful information and word of mouth to fellow students [13]. The helping behavior of students encourages fellow students to assist their institute and fellow students to improve their in/out campus living style [6]. Furthermore, student volunteer behavior impels students to provide feedback to educational institutes to improve their services [34]. The feedback of students helps educational institutes resolve the complaints of dissatisfied students and improve their experiences [35]. Student volunteer behavior urges students to influence the institute to improve the quality of services [15]. Feedback helps educational institutes to strengthen the relationship with students and to facilitate students in better way [36]. Moreover, student volunteer behavior urges students to help educational institutes by advocating for them and spreading positive information. The advocacy refers to protecting the educational institute from negative word of mouth and spreading positive word of mouth [15]. Advocacy is great way to attract potential students and strengthen the relationship of an educational institute and students. Student volunteer behavior urges students to be advocates of their institute and defend its reputation at any cost [37]. Furthermore, students who engage in volunteer behavior exhibit tolerance of any unpleasant situation [34]. It helps students to not feel bad about the institute if at any time a situation is unfavorable or if any disruption happens during service delivery.
Student volunteer behavior was measured in this study by four dimensions through the adaptation of the scale from [15]. A large number of studies operationalized it as a unidimensional construct [38,39,40]. Moreover, the study operationalized student volunteering behavior as a second order construct proposed by literature [12,17,41,42].

2.2. Determinants of Student Volunteer Behavior

2.2.1. Institute Experience

The customer experience with organizations, brands, and institutes was first introduced in the 19th century [43]. It was categorized as cognition, affect, and behavioral aspects of service consumption. Furthermore, it included emotional, sensory, and relational values that replace functional values, considering service consumers as rational and emotional during service delivery [44]. Therefore, the institute experience is considered as a subjective internal response (feelings, sensation, cognition, and behavior) of students due to institute-related stimuli that varies in strength and intensity [45]. It can be positive, negative, short-term or long-term and impacts student loyalty. An institute experience that creates the student perception of a bad experience shatters their loyalty and urges them to switch [46]. The institute experience involves students’ emotions and senses and creates an emotional bond between the institute and students to strengthen their loyalty [47]. The institute experience is far beyond functional benefits, as it more concerned with emotional values. Students seek a superior experience while co-creating the service, and it enhances students’ engagement with institute [48]. The experience of students enhances their loyalty toward their institutes [49]. The loyal students not only show helping behavior but also advocate for their institutes, spread positive word of mouth, and provide feedback to improve the service offered by institute.
H1: 
The institute experience has significant influence on student volunteer behavior.
H2: 
The institute experience has significant influence on student volunteer behavior through the mediation of student loyalty.

2.2.2. Institute Image

The institute image is a core construct that reflects the institute and makes it easy for students to evaluate the institute based on their preferences. Therefore, maintaining a good image is always a priority of an institute [50]. The institute image helps students to trust and select an institute for their studies [51]. Moreover, the institute image also helps it to establish its fictitious position in the industry and strengthen the performance of institute [52]. The institute image is the perception of students that shapes their behavior and decisions to be biased for the institute [21]. The institute image help students to identify how their needs are fulfilled and differentiate the institute from others of same kind, which results in the likelihood of students selecting the institute [53]. The institute image helps the institutes to communicate their underlying benefits to student to earn their loyalty. The image of an institute is explained as the set of associations students have in their memories [54]. The image of the institute helps students to recognize their institute in presence of competitors. The institute image can be explained as an emotional attachment of students to their institutes [50]. The literature highlights that students become loyal to their institutes once they perceive a positive image of their institute [55]. The services literature describes the institute image as an important predictor of loyalty [56]. The upsurge in student loyalty grows their desire to perform volunteer behaviors as well [22]. Based on the arguments above, the following hypotheses are proposed:
H3: 
The institute image has significant influence on student volunteer behavior.
H4: 
The institute image has significant influence on student volunteer behavior through the mediation of student loyalty.

2.2.3. Institute Awareness

Institute awareness holds the potential readiness of an institute in students’ minds and is considered a pre-condition before an encounter. Institute awareness is a crucial element to enhance students’ trust in educational services. Institute awareness is the first step to make students aware before they join the institute [57]. The higher the awareness of the institute, that higher the chance it will be selected by students, as institute awareness generates desirability in students [58]. This study refers to institute awareness as the ability of students to recognize and recall an institute’s name in the presence of a competitor [59]. Institute awareness yields loyalty in students and urges them to choose a particular institute [60]. Student loyalty is highly dependent on awareness provided by institutes as it displays the overall perception of the institute, information, and experience, all of which boost students’ loyalty [61]. The literature claims that student loyalty leads to volunteer behavior [22]. The service literature proposes the relationship of student loyalty and student volunteer behavior and highlights its applicability [62]. This study proposes the following hypotheses based on the abovementioned arguments:
H5: 
Institute awareness has significant influence on student volunteer behavior.
H6: 
Institute awareness has significant influence on student volunteer behavior through the mediation of student loyalty.

2.2.4. Student Loyalty

Student loyalty has been defined multiple ways, such as student likelihood, feelings, biased behavior, a student’s supporting behavior, psychological processes, and attitude of students. However, the literature is not settled on the general definition of loyalty; it is a heated phenomenon from the 19th century, and it is still understudied [63,64,65]. The first term for loyalty introduced was “insistence”, which describes the likelihood of students to choose particular institutes [66]. The engagement of students with their institutes defines their loyalty. The loyalty of students makes them advocates of their institute and urges them to spread positive words, tolerate unpleasant situations, and help other students [25]. Student loyalty urges them to help fellow students, to make the processes and service delivery smoother [67]. The help of fellow students enhances their institute experience positively and also urges them to stay loyal [5]. The loyalty of students impels them to adopt volunteering behavior toward the institute [25]. The discussion is depicted in following hypothesis:
H7: 
Student loyalty has significant influence on student volunteer behavior.
Based on the proposed hypotheses, the following research model is proposed. The institute experience, institute image, and institute awareness are the independent variables. Student loyalty is the mediating variable, and student volunteering behavior is the dependent variable, as shown in Figure 1.

3. Materials and Methods

The survey data were gathered from 223 students from public and private universities of Thailand. The respondents were given a questionnaire based on a 7-point Likert scale. On that scale, 1 referred to strongly agree, 2 referred to slightly agree, 3 referred to agree, 4 referred to neutral, 5 referred to disagree, 6 referred to slightly disagree, and 7 referred to strongly disagree.
The measurements of student volunteering behavior were adapted from [15] and operationalized as a second order construct. Student loyalty was measured by attitudinal perspective, and the measurement was adapted from [68]. The institute experience operationalized as second order construct and the measurement adapted from [45]. The measurement of institute image was adapted from [69]. This study adapted the measurement of institute awareness from [70] and operationalized it as a second order construct. This study used the statistical package for social sciences (SPSS 23) and the structural equation modeling partial least square (PLS-SEM). The measurements of study are provided in the following Table 1.

Pilot Testing

For this study, measurements were adapted from several studies, so pilot testing of instruments was essential. The pilot study allowed us to render the problems of the main study [71]. The selected sample size of the pilot study was based on 40 respondents, which is sufficient as per recommendations by the services literature [72]. The outcome of pilot study showed Cronbach’s alpha as being between the 0.70 and 0.9 threshold, which indicated that the measurements were reliable [73]. Moreover, this study undertook the method of Harman’s one factor test or Harman’s single factor test to measure the common method bias [74]. According to this approach, the common method variance value should be less than 50% [75]. In this study, results of Harman’s test identified that variance of the data was less than 50%.

4. Results

4.1. Measurement Model Assessment

In this stage, the formative model was measured through convergent validity, internal consistency, and discriminant validity. The internal consistency was exhibited through composite reliability (CR). The convergent validity was investigated by average variance extracted (AVE) and outer loadings. The discriminant validity of this study was examined through cross loadings and Fornell–Larcker’s criterion [76]. The values are provided in Table 2 and presented in Figure 2.
The internal consistency measures the consistency of results between the items of the same test. It tests the extent to which items of an instrument are homogeneous and exposes the underlying construct [77]. According to past studies, the minimum acceptance level for CR is 0.6 to 0.7 [78]. The values between 0.7 and 0.9 can be said to be satisfactory. A value of CR ranging 0.9 to 0.95 is not adequate, but if items of the measurement scale do not have redundancy issues, then it can be considered a highly reliable scale to explain phenomena. In this study, the value of CR ranged from 0.60 to 0.94, which indicates that the values are acceptable and reliable.
The reliability test measures the consistency of inter-correlation among items to measure a concept. There is no single item that can measure the concept fully, so it is good to run diagnostic tests to measure internal consistency. Among the series of tests, measurement of Cronbach’s alpha is a renowned technique [73]. In general, a value of Cronbach’s alpha less than 0.6 is considered poor [79]. Cronbach’s alpha ranging from 0.6 to 0.7 is acceptable, ranging from 0.8 to 0.95 is good value, but a value of Cronbach’s alpha more than 0.95 is not necessarily good [80]. In this study, Cronbach’s alpha value ranged from 0.6 to 0.95, which confirms the reliability of measurements.
After the discussion of internal consistency, the convergent validity is the next step to check. The convergent validity measures the degree of correlation of two different sources responding to the same measure [79]. To identify the elements of convergence, AVE is used, as suggested by prior literature [76]. The threshold value for AVE is 0.5, and a value more than 0.5 indicates adequate convergent reliability [81]. In this study, the value of AVE was more than 0.5, which indicates the successful establishment of convergent validity. Convergent validity also includes factor loadings, which are the correlation of any factor and its given item. The value of factor loading should be higher than 0.5 [82]. In this study, factor loading examined based on the threshold level and outer loading of each construct was more than 0.5.

4.2. Discriminant Validity

Discriminant validity is measured by using Fornell–Larcker’s criterion. Fornell–Larcker’s criterion checks the discriminant validity at the construct level and the discriminant validity at the items’ level. Discriminant validity measures the extent to which one construct is different from another construct [83]. Prior studies did not define the threshold point for discriminant validity, and most of studies agree that loading of measurement items of a construct should be higher than that of any other one constructs [84]. According to Fornell–Larcker’s criterion, the square root of AVE should be greater than correlations with other constructs to achieve discriminant validity [85]. The square root of the average extracted variance for reflective measures was, namely, institute awareness 0.815, institute experience 0.901, institute image 0.928, student loyalty 0.853, and student volunteering behavior 0.762, which is loaded higher only on the one construct, which shows its correlation and discriminant validity [78].

4.3. Hypothesis Testing

Hypothesis 1 (H1) proposed that institute experience influences student loyalty. Results showed a significant and positive relationship between institute experience and student loyalty (β = 0.359, p < 0.05), and H1 is supported. Hypothesis 2 (H2) discussed the relationship of institute experience and student volunteering through the mediation of student loyalty. Results demonstrated a positive relationship between the variables (β = 0.239, p < 0.05); therefore, H2 is sustained.
Hypothesis 3 (H3) proposed that institute image influences student loyalty. Results presented a positive relationship between institute image and student loyalty (β = 0.468, p < 0.05) that supports H3. Hypothesis 4 (H4) describes the relationship between institute image and student volunteering behavior through the mediation of student loyalty. Results showed a positive relationship between the variables (β = 0.312, p < 0.05), and H4 is supported.
Hypothesis 5 (H5) showed the significant relationship between institute awareness and student loyalty. There is a dearth of evidence to support this relationship of institute awareness and student loyalty (β = 0.001, p > 0.05). Therefore, H5 is unsupported. Hypothesis 6 (H6) discussed the relationship of institute awareness and student volunteering behavior through the mediation of student loyalty. Results showed (β = 0.001, p > 0.005); therefore, this hypothesis is rejected.
Hypothesis 7 (H7) explained the relationship between student loyalty and student volunteering behavior. Results showed the positive relationship in both variables (β = 0.667, p < 0.05); therefore, H7 is supported.
This study also measured the predictive relevance (Q2). Q2 ensures the predictive relevance of the structural model through the Stone–Geisser criterion, which can be measured though blindfolding procedures. The Stone–Geisser criterion assumes that a model should provide endogenous latent variable indicators [86]. Q2 is measurement of a model’s predictive power, and it examines the accuracy of the model to predict data that were not used in the estimation of model parameters [87]. Q2 value should be above zero, and values less than zero indicate a lack of predictive relevance. Q2 value above zero indicates that values are well constructed and the model has predictive relevance [88]. Therefore, predictive relevance was also measured in this study, and the value of Q2 is 0.230.
One of the commonly used measures for structural model assessment is the coefficient of determination (R2) of endogenous latent variables. It explains the variance of endogenous constructs, which is explained by predictor constructs [89]. The R2 acceptability level depends on the research context [90]. The literature considers the R2 value to be moderate to be acceptable, which is between 0.33 and 0.67 [91]. Another study explains acceptable R2 should be higher than 10% of the threshold level [92]. In this study, the value of R2 is 0.442, which determines that the model has substantial predictive validity.
After predictive relevance and coefficient of determination, another criterion of evaluating a model is the assessment of effect size. In addition to the change in R2 when a specific independent variable is omitted from a model, it measures whether this construct has a substantive impact on the dependent variable. This measurement calls f2 the effect size and is increasingly encouraged by researchers [71]. An effect size less than 0.02 indicates no effects. An effect size from 0.02 to 0.14 is considered weak, from 0.15 to 0.34 is considered moderate, and from 0.35 or more is considered strong [93]. In this study, the effect size of institute experience on student loyalty is 0.095, which indicates the effect of the exogeneous variable. Effect size of institute image on student loyalty is 0.155, which indicates the effect of institute image, whereas the effect size of institute awareness on student loyalty is 0.00, which indicates it does not have an effect. The effect size of student loyalty to student volunteering behavior is 0.800, which shows the effects of the variables. The structural model is defined as follows in Table 3.

5. Discussion

This study discusses the role of student volunteer behavior in Thailand educational institutes. Although volunteer behavior phenomena have attracted the attention of scholars and practitioners, there is still a dearth of research investigating this phenomenon in educational sectors. To fill this void, this study offered a model of direct and multiple mediated effects that cause an enhancement of student volunteer behavior. Moreover, this study adds to the education literature by incorporating the role of students’ experience, image of institute, and role of awareness on the enhancement of student loyalty. The research on student volunteer behavior is still in its infancy, given an increasing popularity of volunteer behavior in the service sector. The study observed that student volunteer behavior provides a benefit to fellow students and the institute as well. The helping behavior fosters students’ willingness to help fellow students, guide them about the institute procedures, and help fellow students when they need. The volunteer behavior is behavior of students to take care of the institutes’ place and equipment, follow procedures and rules, provide feedback to institute staff, and spread positive word of mouth and bear with uncertain situations.
This study found a positive relationship between institute experience and image and the loyalty of students. Its plausible explanation can be that the institute increases student loyalty by providing them with a better experience. The analysis of this study revealed that the highest correlation exists between institute experience and student loyalty. The students who receive quality education, supportive behavior of administrative and academic staff, career opportunities, comfort, and security on campus and who receive rewards for their performances are loyal to their institutes. The results of the relationship of institute experience and student loyalty are also consistent with previous studies [45,47,94,95,96].
The other determinant of student loyalty is the image of the institute. The students who perceive their institute higher than others in the marketplace, being capable of recognizing their institute’s worth among other institutes’ rankings, believe that their institute makes the best decisions for them, takes care of their favors and interests, shows competencies, fulfils its promises, ensures transparency in each matter of conflicts, and resolves their complaints. These students are able to recall their institute from memory whenever they are asked. The results of the proposed relationship of institute image and student loyalty are also consistent with previous studies [55,56,97].
Furthermore, this study discovered an insignificant result of institute awareness and student loyalty. The results of this relationship are inconsistent and in opposition to previous studies [60,61,98,99,100]. It can be due to the context of study; another reason can be that students may already be aware because they are part of the digitized era.
This study also found a significant relationship between student loyalty and student volunteer behavior. Student loyalty leads the student to exhibit volunteer behavior. The volunteer behavior encourages students to provide suggestions to their institute to improve education level, highlight the problems, provide feedback to institute management, spread positive words, and advocate their institute name and tolerate unpleasant situations. The result of this relationship is likewise consistent with previous studies [1,23,27,62,101].

6. Conclusions

The study provides several contributions to the services and education literature by focusing on volunteer behavior of students. Previous studies widely focused on customer volunteer behavior only [7,21,23]. This study incorporated volunteering through the lens of students and educational institutes. This study integrated a different theoretical perspective of students and educational institutes. Moreover, this study contributes to the mediating factors of loyalty among students due to their institute’s experiences. Another important contribution of this study is the incorporation of community-based learning and providing its link to student volunteering.
Moreover, this study has underscored the importance of student volunteer behavior, as it is extremely valued by the institute, particularly in the current service environment. Moreover, the educational situations of Thailand are facing downward trends; international students were restricted to travel to Thailand, and inter-state students were under strict regulations [102]. Moreover, the situation of COVID-19 spiked and seems to be not under control as any new variant can be expected at any time, and it effects educational institutes badly [103]. That is why the implication of student volunteer behavior is very crucial for educational institutes of Thailand to be successful in unpredicted situations.
This study links a rare perspective of community-based learning with student volunteering behavior. The community-based learning is a set of strategies that enables students to learn from the community. It is an intentional pedagogy to align student learning with community engagement [104]. Educational institutes can take the opportunity to engage students in learning from volunteers of the community to increase their practical knowledge, understanding, and skills [105]. The implication of community-based learning in educational institutes is a double-edged sword, and it would benefit the students and the institutes at the same time. In this regard, the educational institute of Thailand can create strategies to facilitate students learning from the community of society [106]. It would not only add to the well-being of students, but also educational institutes can experience tremendous advantages. As the studies suggested, educational institutes should enrich students’ experience through training provided by the community as it is requirement of the modern era [107,108,109,110].

Limitations, Implications, and Future Research

This study provides significant theoretical and empirical contribution; however, there are a few limitations that need to be considered. This study was conducted in Thailand, and educational institute students were chosen. To increase the generalizability of the study, the study can be longitudinal, and ASEAN countries can also be considered. Moreover, the study has highlighted the role of community-based learning in Thailand; future studies can include the comparison of self-learning to service learning and the dark side of community-based learning. Moreover, future studies can provide different nuances and more innovative methodologies. Future study can also consider the management perspective of institutes and the data collection from them to check the impacts of student volunteer behavior. This study has highlighted positive and volunteer behavior of students. Future studies can also consider negative emotions of students and their sabotage behavior. In addition, this study operationalized measurement items at the second stage and used formative measures. Future studies can analyze this model at the first stage through reflective measures.

Author Contributions

Conceptualization, M.R. and R.K.; methodology, M.R. and R.K.; software, M.R.; validation, M.R., R.K. and L.I.; formal analysis, L.I.; investigation, L.I.; resources, L.I.; data curation, J.K.; writing—original draft preparation, M.R.; writing—review and editing, L.I.; visualization, J.K.; supervision, L.I.; project administration, M.R.; funding acquisition, L.I. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Participants were also advised that their participation was purely voluntary, and they could withdraw anytime if they wished to do so. Since no personal identifiers have been kept or recorded in the database, the conclusions of this article will be made available by the authors without undue reservation.

Informed Consent Statement

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

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy restrictions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Anaza, N.; Zhao, J. Encounter-based antecedents of e-customer citizenship behaviors. J. Serv. Mark. 2013, 27, 130–140. [Google Scholar] [CrossRef]
  2. Choi, L.; Lotz, S.L.; Kim, M. The impact of social exchange-based antecedents on customer organizational citizenship behaviors (cocbs) in service recovery. J. Mark. Dev. Compet. 2014, 8, 11–24. [Google Scholar]
  3. Mehta, S.; Saxena, T.; Purohit, N. The New Consumer Behaviour Paradigm amid COVID-19: Permanent or Transient? J. Health Manag. 2020, 22, 291–301. [Google Scholar] [CrossRef]
  4. Yi, Y.; Nataraajan, R.; Gong, T. Customer participation and citizenship behavioral influences on employee performance, satisfaction, commitment, and turnover intention. J. Bus. Res. 2011, 64, 87–95. [Google Scholar] [CrossRef]
  5. Curth, S.; Uhrich, S.; Benkenstein, M. How commitment to fellow customers affects the customer-firm relationship and customer citizenship behavior. J. Serv. Mark. 2014, 28, 147–158. [Google Scholar] [CrossRef]
  6. Kim, H.S.; Choi, B. The effects of three customer-to-customer interaction quality types on customer experience quality and citizenship behavior in mass service settings. J. Serv. Mark. 2016, 30, 384–397. [Google Scholar] [CrossRef]
  7. Gong, T.; Yi, Y. A review of customer citizenship behaviors in the service context. Serv. Ind. J. 2019, 41, 169–199. [Google Scholar] [CrossRef]
  8. Nyffenegger, B.; Kähr, A.; Krohmer, H.; Hoyer, W.D. How Should Retailers Deal with Consumer Sabotage of a Manufacturer Brand? J. Assoc. Consum. Res. 2018, 3, 379–395. [Google Scholar] [CrossRef] [Green Version]
  9. Polo, Y.; Sese, F.J.; Verhoef, P.C. The effect of pricing and advertising on customer retention in a liberalizing market. J. Interact. Mark. 2011, 25, 201–214. [Google Scholar] [CrossRef]
  10. Khalid, R.; Raza, M.; Sawangchai, A.; Somtawinpongsai, C. The challenging factors affecting women entrepreneurial activities. J. Lib. Int. Aff. 2022, 8, 51–66. [Google Scholar] [CrossRef]
  11. Jung, J.H.; Yoo, J.J. Customer-to-customer interactions on customer citizenship behavior. Serv. Bus. 2017, 11, 117–139. [Google Scholar] [CrossRef]
  12. Choi, L.; Lotz, S.L. Exploring antecedents of customer citizenship behaviors in services. Serv. Ind. J. 2017, 38, 607–628. [Google Scholar] [CrossRef]
  13. Bettencourt, L.A. Customer voluntary performance: Customers as partners in service delivery. J. Retail. 1997, 73, 383–406. [Google Scholar] [CrossRef]
  14. Dang, A.; Arndt, A.D. How personal costs influence customer citizenship behaviors. J. Retail. Consum. Serv. 2017, 39, 173–181. [Google Scholar] [CrossRef]
  15. Yi, Y.; Gong, T. Customer value co-creation behavior: Scale development and validation. J. Bus. Res. 2013, 66, 1279–1284. [Google Scholar] [CrossRef]
  16. Lishan, X.; Wenxuan, Z.; Yinmei, P. Mediation effect of brand relationship quality between airline brand experience and customer citizenship behavior. In Proceedings of the 11th International Conference on Service Systems and Service Management, Beijing, China, 25–27 June 2014. [Google Scholar] [CrossRef]
  17. Revilla-Camacho, M.; Vega-Vázquez, M.; Cossío-Silva, F.J. Customer participation and citizenship behavior effects on turnover intention. J. Bus. Res. 2015, 68, 1607–1611. [Google Scholar] [CrossRef]
  18. Jaakkola, E.; Alexander, M. The role of customer engagement behavior in value co-creation. J. Serv. Res. 2014, 17, 247–261. [Google Scholar] [CrossRef] [Green Version]
  19. Li, S.; Wei, M. Hotel servicescape and customer citizenship behaviors: Mediating role of customer engagement and moderating role of gender. Int. J. Contemp. Hosp. Manag. 2021, 33, 587–603. [Google Scholar] [CrossRef]
  20. Hwang, J.; Lyu, S.O. Relationships among green image, consumer attitudes, desire, and customer citizenship behavior in the airline industry. Int. J. Sustain. Transp. 2019, 14, 437–447. [Google Scholar] [CrossRef]
  21. Huang, W.; Chen, M. Research on Influence of the Congruence of Self-Image and Brand Image on Consumers’ Citizenship Behavior. Open J. Bus. Manag. 2018, 6, 193–201. [Google Scholar] [CrossRef]
  22. Nagy, E.-S.A.; Marzouk, W.G. Factors affecting customer citizenship behavior: A model of university students. Int. J. Mark. Stud. 2018, 10, 54–70. [Google Scholar] [CrossRef] [Green Version]
  23. Ho, J.S.Y.; Gaur, S.S.; Chew, K.W.; Khan, N. Gender roles and customer organisational citizenship behaviour in emerging markets. Psychol. Mark. 2017, 30, 461–469. [Google Scholar] [CrossRef]
  24. Xie, L.; Poon, P.; Zhang, W. Brand experience and customer citizenship behavior: The role of brand relationship quality. J. Consum. Mark. 2017, 34, 268–280. [Google Scholar] [CrossRef]
  25. Tung, V.W.S.; Chen, P.-J.; Schuckert, M. Managing customer citizenship behaviour: The moderating roles of employee responsiveness and organizational reassurance. Tour. Manag. 2017, 59, 23–35. [Google Scholar] [CrossRef]
  26. Tsai, C.-Y.D.; Wu, S.-H.; Huang, S.C.-T. From mandatory to voluntary: Consumer cooperation and citizenship behaviour. Serv. Ind. J. 2017, 37, 521–543. [Google Scholar] [CrossRef]
  27. Van Tonder, E.; Fullerton, S.; De Beer, L.T.; Saunders, S.G. Social and personal factors influencing green customer citizenship behaviours: The role of subjective norm, internal values and attitudes. J. Retail. Consum. Serv. 2023, 71, 103–190. [Google Scholar] [CrossRef]
  28. Education Dropout Figures Keep Rising. Bangkok Post. 25 June 2021. Available online: https://www.bangkokpost.com/thailand/general/2138011/education-dropout-figures-keep-rising (accessed on 21 June 2022).
  29. Saokaew, D. COVID-19: Thailand’s School Dropout Rate Soars. CGTN. 8 July 2021. Available online: https://news.cgtn.com/news/2021-07-08/COVID-19-Thailand-s-school-dropout-rate-soars-11JmsBKXkv6/index.html (accessed on 20 August 2022).
  30. Malaysia to Recalibrate Its Strategy as 200k Int’l Student Target by 2020 Looks Unlikely. The Pie News, 27 September 2020.
  31. Balaji, M.S. Managing customer citizenship behavior: A relationship perspective. J. Strateg. Mark. 2014, 22, 222–239. [Google Scholar] [CrossRef]
  32. Barnard, C. The Functions of the Executive; Harvard University Press: Cambridge, MA, USA, 1938. [Google Scholar]
  33. Groth, M. Customers as good soldiers: Examining citizenship behaviors in internet service deliveries. J. Manag. 2005, 31, 7–27. [Google Scholar] [CrossRef]
  34. Cheng, J.-C.; Luo, S.-J.; Yen, C.-H.; Yang, Y.-F. Brand attachment and customer citizenship behaviors. Serv. Ind. J. 2016, 36, 263–277. [Google Scholar] [CrossRef]
  35. Yi, Y.; Gong, T. The antecedents and consequences of service customer citizenship and badness behavior. Seoul J. Bus. 2006, 12, 145–176. Available online: http://strathprints.strath.ac.uk/38577/ (accessed on 3 July 2022).
  36. Hansong, Y.; Keyi, W.; Dan, Y.; Rong, L. The influences of customer citizenship behaviors on brand reputation. In Proceedings of the International Conference on Information Management, Innovation Management and Industrial Engineering, Sanya, China, 20–21 October 2012; pp. 393–396. [Google Scholar]
  37. Lacey, R.; Morgan, R.M. Customer advocacy and the impact of B2B loyalty programs. J. Bus. Ind. Mark. 2008, 24, 3–13. [Google Scholar] [CrossRef]
  38. Cheng, J.-C.; Wu, C.-S.; Yen, C.-H.; Chen, C.-Y. Tour leader attachment and customer citizenship behaviors in group package tour: The role of customer commitment. Asia Pacific J. Tour. Res. 2015, 21, 642–657. [Google Scholar] [CrossRef]
  39. Nguyen, H.; Groth, M.; Walsh, G.; Hennig-Thurau, T. Consumer perceptions of online shopping environments. Psychol. Mark. 2014, 30, 461–469. [Google Scholar] [CrossRef]
  40. Zoghbi-Manrique-De-Lara, P.; Suárez-Acosta, A.M.; Guerra-Báez, R.M. Customer citizenship as a reaction to hotel’s fair treatment of staff: Service satisfaction as a mediator. Tour. Hosp. Res. 2017, 17, 190–203. [Google Scholar] [CrossRef]
  41. Shamim, A.; Ghazali, Z.; Jamak, A.B.S.A. Extrinsic experiential value as an antecedent of customer citizenship behavior. In Proceedings of the International Symposium on Technology Management and Emerging Technologies (ISTMET), Langkawi Island, Malaysia, 25–27 August 2015; pp. 202–206. [Google Scholar] [CrossRef]
  42. Tan, V.; Quoquab, F.; Ahmad, F.S.; Mohammad, J. Mediating effects of students’ social bonds between self-esteem and customer citizenship behaviour in the context of international university branch campuses. Asia Pacific J. Mark. Logist. 2017, 29, 305–329. [Google Scholar] [CrossRef]
  43. Holbrook, M.B.; Hirschman, E.C. The experiential aspects of consumption: Consumer fantasies, feeling, and fun. J. Consum. Res. 1982, 9, 132–140. [Google Scholar] [CrossRef] [Green Version]
  44. Schmitt, B. Experiential marketing. J. Mark. Manag. 1999, 15, 53–67. [Google Scholar] [CrossRef]
  45. Brakus, J.J.; Schmitt, B.H.; Zarantonello, L. Brand experience: What is it? How is it measured? Does it affect loyalty? J. Mark. 2009, 73, 52–68. [Google Scholar] [CrossRef]
  46. Zarantonello, L.; Schmitt, B.H. Using the brand experience scale to profile consumers and predict consumer behaviour. J. Brand Manag. 2010, 17, 532–540. [Google Scholar] [CrossRef]
  47. Cleff, T.; Walter, N.; Xie, J. The effect of online brand experience on brand loyalty: A web of emotions. IUP J. Brand Manag. 2018, 15, 7–24. [Google Scholar]
  48. Shamim, A.; Ghazali, Z. An integrated model of corporate brand experience and customer value co-creation behaviour. Int. J. Retail Distrib. Manag. 2016, 44, 139–158. [Google Scholar] [CrossRef]
  49. Zarantonello, L.; Schmitt, B.H. The impact of event marketing on brand equity: The mediating roles of brand experience and brand attitude. Int. J. Advert. 2013, 32, 255–280. [Google Scholar] [CrossRef] [Green Version]
  50. Islam, J.U.; Rahman, Z. Examining the effects of brand love and brand image on customer engagement: An empirical study of fashion apparel brands. J. Glob. Fash. Mark. 2016, 7, 45–59. [Google Scholar] [CrossRef]
  51. Dirsehan, T.; Kurtuluş, S. Measuring brand image using a cognitive approach: Representing brands as a network in the Turkish airline industry. J. Air Transp. Manag. 2018, 67, 85–93. [Google Scholar] [CrossRef]
  52. Nyadzayo, M.W.; Khajehzadeh, S. The antecedents of customer loyalty: A moderated mediation model of customer relationship management quality and brand image. J. Retail. Consum. Serv. 2016, 30, 262–270. [Google Scholar] [CrossRef]
  53. Hsieh, M.; Pan, S.; Setiono, R. Dimensions and Purchase Behavior: A multicountry analysis. J. Acad. Mark. Sci. 2004, 32, 251–270. [Google Scholar] [CrossRef]
  54. Keller, K.L. Conceptualizing, measuring, and managing customer-Based Brand Equity. Source J. Mark. 1993, 57, 1–22. [Google Scholar] [CrossRef]
  55. Ferdiawan, Y.; Hermawan, A.; Wardana, L.W.; Arief, M. Satisfaction as effect mediation of brand image and customer relationship management on customer’s loyalty. In Proceedings of the The First International Research Conference on Economics and Business, Medan, Indonezia, 8–9 October 2018; pp. 34–50. [Google Scholar] [CrossRef]
  56. Sondoh, L.; Omar, M.; Wahid, N.; Ismail, I.; Harun, A. The effect of brand image on overall satisfaction and loyalty intention in the context of color cosmetic. Asian Acad. Manag. 2007, 12, 83–107. Available online: http://web.usm.my/aamj/12.1.2007/AAMJ 12-1-6.pdf (accessed on 9 April 2022).
  57. Lucas, D.B.; Britt, S.H. Advertising Psychology and Research; McGraw-Hill: New York, NY, USA, 1950. [Google Scholar]
  58. Langaro, D.; Rita, P.; Salgueiro, M. Do social networking sites contribute for building brands? Evaluating the impact of users’ participation on brand awareness and brand attitude. J. Mark. Commun. 2018, 24, 146–168. [Google Scholar] [CrossRef]
  59. Aaker, D.A. Managing Brand Equity; The Free Press: New York, NY, USA, 1991. [Google Scholar]
  60. Gómez, M.; Martín-Consuegra, D.; Díaz, E.; Molina, A. Determinants and outcomes of price premium and loyalty: A food case study. J. Consum. Behav. 2018, 17, 64–74. [Google Scholar] [CrossRef]
  61. Rompas, I.A.; Pangemanan, S.S.; Rumokoy, F.S. The impact of price and brand awareness toward brand loyalty of tri provider in north sulawesi case study: University students UNKLAB, DE LA SALLE, UNIMA, AND, UNSRAT. J. EMBA 2018, 6. [Google Scholar] [CrossRef]
  62. Bove, L.L.; Pervan, S.J.; Beatty, S.E.; Shiu, E. Service worker role in encouraging customer organizational citizenship behaviors. J. Bus. Res. 2009, 62, 698–705. [Google Scholar] [CrossRef]
  63. Day, G.S. A Two-Dimensional concept of brand loyalty. J. Advert. Res. 1969, 9, 89. [Google Scholar] [CrossRef]
  64. Dick, A.S.; Basu, K. Customer loyalty: Toward an integrated conceptual framework. J. Acad. Mark. Sci. 1994, 22, 99–113. [Google Scholar] [CrossRef]
  65. Jacoby, J.; Kyner, D.B. Brand loyalty vs. repeat purchasing behavior. J. Mark. Res. 1973, 10, 1. [Google Scholar] [CrossRef]
  66. Copeland, M.T. Relation of consumers’ buying habits to marketing methods. Harv. Bus. Rev. 1923, 1, 282–289. [Google Scholar]
  67. Bartikowski, B.; Walsh, G. Investigating mediators between corporate reputation and customer citizenship behaviors. J. Bus. Res. 2011, 64, 39–44. [Google Scholar] [CrossRef]
  68. Karjaluoto, H.; Jayawardhena, C.; Leppäniemi, M.; Pihlström, M. How value and trust influence loyalty in wireless telecommunications industry. Telecomm. Policy 2012, 36, 636–649. [Google Scholar] [CrossRef]
  69. Shafiee, M.M.; Sanayei, A.; Shahin, A.; Dolatabadi, H.R. The role of brand image in forming airlines passengers’ purchase intention: Study of Iran aviation industry. Int. J. Serv. Oper. Manag. 2014, 19, 360. [Google Scholar] [CrossRef]
  70. Buil, I.; Martínez, E.; de Chernatony, L. The influence of brand equity on consumer responses. J. Consum. Mark. 2013, 30, 62–74. [Google Scholar] [CrossRef] [Green Version]
  71. Fan, Y.; Chen, J.; Shirkey, G.; John, R.; Wu, S.R.; Park, H.; Shao, C. Applications of structural equation modeling (SEM) in ecological studies: An updated review. Ecol. Process. 2016, 5, 19. [Google Scholar] [CrossRef] [Green Version]
  72. Johanson, G.A.; Brooks, G.P. Initial scale development: Sample Size for pilot studies. Educ. Psychol. Meas. 2010, 70, 394–400. [Google Scholar] [CrossRef]
  73. Tavakol, M.; Dennick, R. Making sense of Cronbach’s alpha. Int. J. Med. Educ. 2011, 2, 53–55. [Google Scholar] [CrossRef]
  74. Harman, H.H. Modern Factor Analysis; University of Chicago Press: Chicago, IL, USA, 1976. [Google Scholar]
  75. Baumgartner, H.; Weijters, B.; Pieters, R. The biasing effect of common method variance: Some clarifications. J. Acad. Mark. Sci. 2021, 49, 221–235. [Google Scholar] [CrossRef]
  76. 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. [Google Scholar] [CrossRef]
  77. Cooper, D.R.; Schindler, P.S. Business Research Methods; McGraw-Hill: New York, NY, USA, 2014. [Google Scholar]
  78. Hair, J.F.; Anderson, R.E.; Tatham, R.L.; Black, W.C.; Babin, B.J.; Anderson, R.E. Multivariate Data Analysis; Prentice Hall: Hoboken, NJ, USA, 1998; Volume 1. [Google Scholar] [CrossRef]
  79. Sekaran, U.; Bougie, R. Research Methods for Business; A Skill Building Approach; John and Wiley and Sons: Hoboken, NJ, USA, 2016. [Google Scholar]
  80. Ursachi, G.; Horodnic, I.A.; Zait, A. How reliable are measurement scales ? External factors with indirect influence on reliability estimators. Procedia Econ. Financ. 2015, 20, 679–686. [Google Scholar] [CrossRef] [Green Version]
  81. Bagozzi, R.P.; Yi, Y. On the evaluation of structural equation models. J. Acad. Mark. Sci. 1988, 16, 74–94. [Google Scholar] [CrossRef]
  82. Hair, J.F.; Ringle, C.M.; Sarstedt, M. Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Plan. 2013, 46, 1–12. [Google Scholar] [CrossRef]
  83. 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]
  84. Chin, W.W. The partial least squares approach to structural equation modeling. In Modern Methods for Business Research; Lawrence Erlbaum Associates: Mahwah, NJ, USA, 1998. [Google Scholar]
  85. Fornell, C.; Larcker, D.F. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Am. Mark. Assoc. 1981, 18, 39–50. [Google Scholar]
  86. Henseler, J.; Ringle, C.M.; Sinkovics, R.R. The Use of Partial Least Squares Path Modeling In International Marketing; Emerald Group Publishing Limited: Bingley, UK, 2009. [Google Scholar] [CrossRef] [Green Version]
  87. Sarstedt, M.; Ringle, C.M.; Smith, D.; Reams, R.; Hair, J.F., Jr. Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. J. Fam. Bus. Strategy 2014, 5, 105–115. [Google Scholar] [CrossRef]
  88. 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, 2–4. [Google Scholar] [CrossRef]
  89. Hair, J.F.; Hult, G.T.M.; Ringle, C.; Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM); Sage Publications Ltd.: Thousand Oaks, CA, USA, 2013. [Google Scholar]
  90. Hult, G.T.M.; Hair, J.F., Jr.; Proksch, D.; Sarstedt, M.; Pinkwart, A.; Ringle, C.M. Addressing endogeneity in international marketing applications of partial least squares structural equation modeling. J. Int. Mark. 2018, 26, 1–21. [Google Scholar] [CrossRef]
  91. Henseler, J.; Ringle, C.M.; Sarstedt, M. Using partial least squares path modeling in advertising research: Basic concepts and recent issues. In Handbook of Research on International Advertising; Edward Elgar Publishing: Cheltenham, UK, 2012. [Google Scholar]
  92. Falk, R.F.; Miller, N.B. A Primer for Soft Modeling; University of Akron Press: Akron, OH, USA, 1992. [Google Scholar]
  93. Hair, J.; Hollingsworth, C.L.; Randolph, A.B.; Chong, A.Y.L. An updated and expanded assessment of PLS-SEM in information systems research. Ind. Manag. Data Syst. 2017, 117, 442–458. [Google Scholar] [CrossRef]
  94. Khan, I.; Rahman, Z.; Fatma, M. The role of customer brand engagement and brand experience in online banking. Int. J. Bank Mark. 2016, 34, 1025–1041. [Google Scholar] [CrossRef]
  95. Mathew, V.; Thomas, S. Direct and indirect effect of brand experience on true brand loyalty: Role of involvement abstract. Asia Pac. J. Mark. Logist. 2018, 30, 725–748. [Google Scholar] [CrossRef]
  96. van der Westhuizen, L.-M. Brand loyalty: Exploring self-brand connection and brand experience. J. Prod. Brand Manag. 2018, 27, 172–184. [Google Scholar] [CrossRef] [Green Version]
  97. Rahi, S. Impact of customer value, public relations perception and brand image on customer loyalty in services sector of Pakistan. Arab. J. Bus. Manag. Rev. 2016, 3, 16–32. [Google Scholar] [CrossRef]
  98. Chinomona, R.; Maziriri, E.T. The influence of brand awareness, brand association and product quality on brand loyalty and repurchase intention: A case of male consumers for cosmetic brands in South Africa. J. Bus. Retail Manag. Res. 2017, 12, 143–154. [Google Scholar] [CrossRef] [Green Version]
  99. Pratama, H.; Suprapto, B. The Effect of Brand Image, Price, and Brand Awareness on Brand Loyalty: The Rule of Customer Satisfaction as a Mediating Variable. Glob. J. Bus. Soc. Sci. Rev. 2017, 5, 52–57. [Google Scholar] [CrossRef]
  100. Su, J.; Chang, A. Factors affecting college students’ brand loyalty toward fast fashion. Int. J. Retail Distrib. Manag. 2018, 46, 90–107. [Google Scholar] [CrossRef]
  101. Patterson, P.G.; Razzaque, M.A.; Terry, C.S.L. Customer citizenship behaviour in service organisations: A social exchange model. In Proceedings of the Australian and New Zealand Academy Conference, Fremantle, Australia, 2–5 December 2003; pp. 2079–2089. [Google Scholar]
  102. Shahzad, A.; Hassan, R.; Aremu, A.Y.; Hussain, A.; Lodhi, R.N. Effects of COVID-19 in E-learning on higher education institution students: The group comparison between male and female. Qual. Quant. 2020, 55, 805–826. [Google Scholar] [CrossRef] [PubMed]
  103. Jennings, R. Malaysian COVID-19 Cases Soar to Thousands per Day. Voanews, 22 January 2021. [Google Scholar]
  104. Owens, T.R.; Wang, C. Community-based learning: A foundation for meaningful educational reform. Sch. Improv. Res. Ser. 1996. Available online: https://digitalcommons.unomaha.edu/slceslgen/37 (accessed on 5 May 2022).
  105. Kornbluh, M.; Wilking, J.; Roll, S.; Banks, L.; Stone, H.; Candela, J. Learning and Doing Together: Student Outcomes from an Interdisciplinary, Community-Based Research Course on Homelessness in a Local Community. J. Community Engagem. Scholarsh. 2020, 13, 36–50. [Google Scholar] [CrossRef]
  106. Mushtaque, I.; Khan, M.R.; Zahra, R.; Fatima, S.M.; Ejaz, M.; Lak, T.A.; Rizwan, M.; Awais-E-Yazdan, M.; Raza, M.; Psychologist, G.S.M.T.H.C. Prevalence of Coronavirus Anxiety, Nomophobia, and Social Isolation Among National and Overseas Pakistani Students. J. Popul. Soc. Stud. 2022, 30, 408–422. [Google Scholar] [CrossRef]
  107. Eaton, A.D.; Ibáñez-Carrasco, F.; Craig, S.L.; Carusone, S.C.; Montess, M.; Wells, A.; Ginocchio, G.F. A blended learning curriculum for training peer researchers to conduct community-based participatory research. Action Learn. Res. Pract. 2018, 15, 139–150. [Google Scholar] [CrossRef]
  108. Mohsin, M.; Jamil, K.; Naseem, S.; Sarfraz, M.; Ivascu, L. Elongating Nexus Between Workplace Factors and Knowledge Hiding Behavior: Mediating Role of Job Anxiety. Psychol. Res. Behav. Manag. 2022, 15, 441–457. [Google Scholar] [CrossRef]
  109. Sarfraz, M.; Ivascu, L.; Belu, R.; Artene, A. Accentuating the interconnection between business sustainability and organizational performance in the context of the circular economy: The moderating role of organizational competitiveness. Bus. Strat. Environ. 2021, 30, 2108–2118. [Google Scholar] [CrossRef]
  110. Cioca, L.I.; Ivascu, L.; Turi, A.; Artene, A.; Gaman, G.A. Sustainable Development Model for the Automotive Industry. Sustain. J. 2019, 11, 6447. [Google Scholar] [CrossRef]
Figure 1. Conceptual framework.
Figure 1. Conceptual framework.
Sustainability 15 00918 g001
Figure 2. Measurement Model Assessment.
Figure 2. Measurement Model Assessment.
Sustainability 15 00918 g002
Table 1. Measurements scale.
Table 1. Measurements scale.
Student Volunteer Behavior
I provide useful ideas to institute staff to improve their services.
I give my feedback to the institute whenever I receive its services.
I always seek help from institute staff if I have any problem.
I say constructive words about this institute to others.
I recommend this institute to others.
I am inspired by this institute and endorse it to others.
I assist fellow students when they seek help.
I help fellow students when they face any problem.
I teach fellow students the right use of services.
I give advice to fellow students about the provided services of this institute.
I tolerate it if services are not delivered as per my expectations.
If the institute makes a mistake during encounters, I prefer to be persistent.
I choose to wait if I have to wait longer than normal to receive the service.
Student Loyalty
I prefer this institute more than any other institute.
I consider this institute best serves my purpose.
I choose the services of my institute over those of its competitors.
I trust that my institute is better than other institutes.
The offers of my institute always superior to those of others.
Institute Experience
This institute leaves a positive impression on my senses.
This institute is interesting in a sensory way.
This institute is appealing to my senses.
This institute creates positive feelings.
I have positive feelings about this institute.
This institute focuses on creating positive emotions.
I engage in physical actions that favor this institute.
This institute encourages me to think about lifestyle.
This institute emphases experiences through activities.
I engage in a lot of positive thinking when I encounter this institute.
I always have positive thinking about this institute.
This institute stimulates my curiosity.
Institute Image
This institute is a good choice for study.
This institute acts as expected from an institute.
My opinion is good about the study and related issues of this institute.
I choose this institute due to its advantages in comparison with other institutes.
This institute is exciting.
I have profound interest in this institute.
The institute is luxurious.
This institute creates a positive image of me.
This institute fits my personality.
This institute is a good fit for my social status.
This institute leaves a positive impression on other students as well.
I have a progressive image of the institute owning the country.
Institute Awareness
I am aware of the services of this institute.
When I consider institutes for study, this institute is the first to come to my mind.
I am familiar with this institute.
I know what the institute looks like.
I can differentiate this institute from another institute.
Table 2. Reliability construct.
Table 2. Reliability construct.
First OrderSecond OrderItem LabelingLoadingsCRAVECronbach’s Alpha
Sensory 0.9250.8040.878
IE10.906
IE20.888
IE30.896
Affective 0.9080.7670.848
IE40.858
IE50.897
IE60.859
Behavioral 0.8850.7190.805
IE70.821
IE80.823
IE90.849
Intellectual 0.9000.7500.833
IE100.861
IE110.860
IE120.861
Institute Experience 0.9420.8020.942
Sensory0.916
Affective0.907
Behavioral0.873
Intellectual0.907
Technical Functional 0.9240.7520.890
II10.874
II20.890
II30.879
II40.839
Emotional Sensual 0.9090.7700.850
II50.873
II60.867
II70.901
Symbolic Social 0.9070.6630.872
II80.862
II90.846
II100.799
II110.847
II120.706
Institute Image 0.9480.8590.943
Technical Functional0.915
Emotional Sensual0.934
Symbolic Social0.937
Institute AwarenessUnidimensional 0.9080.6650.876
IA10.795
IA20.864
IA30.865
IA40732
IA50.814
Student LoyaltyUnidimensional 0.9310.7310.908
SL10.832
SL20.886
SL30.876
SL40.865
SL50.805
Feedback 0.8810.7120.798
SVB10.846
SVB20.880
SVB30.803
Advocacy 0.9260.8060.879
SVB40.878
SVB50.916
SVB60.899
Helping Behavior 0.8890.6680.834
SVB70.817
SVB80.800
SVB90.829
SVB100.832
Tolerance 0.8760.7020.787
SVB110.835
SVB120.829
SVB130.848
Student Volunteering Behavior 0.6040.8560.891
Feedback0.789
Advocacy0.876
Helping Behavior0.785
Tolerance0.566
Table 3. Structural Model.
Table 3. Structural Model.
Hypothesis/PathsBetaSigVIFEffectQ2R2
Institute Experience ----> Student Loyalty0.3590.0003.7260.0950.1720.442
Institute Image ----> Student Loyalty0.4680.0003.8790.155
Institute Awareness ----> Student Loyalty0.0010.9871.3300.000
Student Loyalty ----> Student Volunteering Behavior0.6670.0001.000.800
Institute Experience ----> Student Loyalty ----> Student Volunteer Behavior0.2390.000
Institute Image ----> Student Loyalty ----> Student Volunteer Behavior0.3120.000
Institute Awareness ----> Student Loyalty ----> Student Volunteer Behavior0.0010.987
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MDPI and ACS Style

Raza, M.; Khalid, R.; Ivascu, L.; Kasuma, J. Education Beats at the Heart of the Sustainability in Thailand: The Role of Institutional Awareness, Image, Experience, and Student Volunteer Behavior. Sustainability 2023, 15, 918. https://doi.org/10.3390/su15020918

AMA Style

Raza M, Khalid R, Ivascu L, Kasuma J. Education Beats at the Heart of the Sustainability in Thailand: The Role of Institutional Awareness, Image, Experience, and Student Volunteer Behavior. Sustainability. 2023; 15(2):918. https://doi.org/10.3390/su15020918

Chicago/Turabian Style

Raza, Mohsin, Rimsha Khalid, Larisa Ivascu, and Jati Kasuma. 2023. "Education Beats at the Heart of the Sustainability in Thailand: The Role of Institutional Awareness, Image, Experience, and Student Volunteer Behavior" Sustainability 15, no. 2: 918. https://doi.org/10.3390/su15020918

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