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The purpose of this paper is to explore the knowledge infrastructure of destination food research based on a systematic literature review. This bibliometric analysis involves authors, institutions, countries and co-citation networks and discloses trending developments in the field.

This study is based on 176 articles published in hospitality and tourism journals during the period 2000–2018 and bibliometric data downloaded from the ISI Web of Science. This review applies bibliometric analysis, citation network analysis and content analysis to examine the structure and networks of destination food knowledge so as to provide destination food researchers with a reference guide to the context, methods and focus of previous studies.

The findings demonstrate the development and trends of destination food research. This is the first study to address the limitations of prior systematic literature reviews by applying network analysis to reveal the interrelated structures and properties of the destination food research domain.

Practitioners can also discover trends in the design of development strategies, as well as identify extended themes that may be integrated with research in the field of destination food at present.

As a summary of key characteristics, this report is a useful reference guide to previous studies for researchers. This study presents core content about the destination food field and identifies development trends within destination food research. Based on the results, further research directions are provided.

The purpose of this paper is to examine the impact of performance appraisal satisfaction (PAS) on work engagement (WE) and the impact of WE on turnover intention. Furthermore, this paper investigates the mediating effect of WE between PAS and turnover intention.

The sample consisted of employees of 12 oil and gas organisations operating in Malaysia. The data collection process consists of two surveys using a three-month time lag approach. A total of 295 samples were used for the final data analysis. Partial least squares structural equation modelling was performed to test the research hypotheses.

The results indicate a strong causal relation between PAS, WE and turnover intentions. In brief, PAS was found to be a predictor of WE, and WE has a negative impact on employees’ turnover intention. Furthermore, WE proved to be a mediator between PAS and turnover intentions.

The findings of this study can be used as a basis to consider PAS to increase employees’ level of WE and to decrease voluntary turnover. Overall, the findings provide pragmatic insights for human resource management practitioners and relevant stakeholders.

To date, little is known about the interrelationship between PAS, WE and turnover intention. Importantly, the mediating role of WE between PAS and turnover intention has remained unexplored. This study fills this gap in the existing literature.

The purpose of this paper is to introduce the variable of halal food knowledge (HFK) into the theory of planned behavior framework to investigate Malaysian non-Muslim consumers’ decision-making process in purchasing halal food.

Data were collected through 350 distributed questionnaires toward non-Muslim consumers on five most visited grocery stores (hypermarket-based) in Kuala Lumpur and Selangor. The collected data was analyzed by using Statistical Package for Social Sciences and SmartPLS.

Purchasing halal food remain an uneasy task for the non-Muslim consumers, thus rely on their personal evaluation and closest relative’s approval.

This study is focusing only on two halal food credence attributes namely health attribute and animal-friendly attributes.

Both health and animal friendly credence attributes of halal food should be the main message to be conveyed to the non-Muslim consumers. In addition, the inclusion of non-Muslim consumers within the Malaysian halal ecosystem might provide a solution to tackle the resistance of halal food from foreign countries.

The value of this study is the finding of halal food credence attributes of health and animal friendly, which are the dimensions of HFK.

Given the intense competition in the hotel industry, this study investigates the effect of overwork (OW) and overtime (OT) on turnover intention (TI) as well as the moderating effect of incentives in the context of non-luxury hotels in an emerging market.

Using a purposive sampling technique, a total of 271 front-line employees who are currently working in non-luxury hotels in Sarawak responded to the study. Partial least squares structural equation modeling (PLS-SEM) was used to perform latent variable and moderation analyses.

The findings show that both OW and OT have a direct impact on TI. Contrary to the past studies, incentives do not exert any moderating effect on the relationship between OW, OT and TI among the employees working at non-luxury hotels.

This is one of the first studies to explore the effect of incentives between OW and working OT on TI in the context of the non-luxury hotels in an emerging market and show why incentives might not work. It further advances the understanding of the JD-R theory, demonstrating the necessity for organizations to provide matching resources to address job strains.

The purpose of this paper is to assess the effect of two promotional methods, namely, celebrity endorsed advertisement and selfie promotion, on customers’ decision-making processes using the AISAS model.

A within-subject experimental design was used to observe how young adults in Malaysia would respond to two promotional methods about a new seafood restaurant. A total of 180 responses were collected using a structured questionnaire. Data were assessed and analysed using partial least squares structural equation modelling.

The results show that while celebrity endorsed advertisement remains relevant to customer’s decision-making processes, the effect of selfie promotion is comparable to celebrity endorsement. The sequential mediation for both models is found to be significant, but the AISAS model with selfie promotion produces better in-sample prediction (model selection criteria) and out-of-sample prediction (PLSpredict) compared to celebrity endorsed advertisement, thus suggesting its better representation to reality.

Despite being limited to young adults in Malaysia and a particular product, the study is essential to understanding the effect of celebrity endorsed advertisement and selfie promotion on decision-making processes.

The study provides insights into how business organisations could exploit the advancement of communication technology to encourage selfie behaviour to promote their products in an innovative and competitive manner.

The assessment of the effect of celebrity endorsed advertisement and selfie promotion on decision-making processes using PLSpredict and model selection criteria articulates the relevance of selfie as a promotional tool. It also provides an alternative technique for conducting model comparison research.

This study aims to examine the impact of employees' satisfaction with human resource management (HRM) practices (i.e. training satisfaction, performance appraisal satisfaction and pay satisfaction) on work engagement and subsequently employee turnover intentions. The mediating role of work engagement between employee satisfaction with HRM practices and turnover intentions is also assessed.

Data were collected from Malaysian oil and gas (O&G) professionals. A total of 442 useable questionnaires were obtained for the final data analysis. Partial least squares structural equation modeling (PLS-SEM) was performed to test the hypothesised relationships.

The findings indicate that training satisfaction and performance appraisal satisfaction are the key drivers of employee engagement at work. Work engagement in turn has a negative impact on employee turnover intentions. Furthermore, work engagement mediates the relationship between employees' satisfaction with HRM practices (i.e. training satisfaction and performance appraisal satisfaction) and turnover intentions. Nevertheless, it did not have any mediating effect on pay satisfaction and turnover intention.

Training plans should be designed to make the relevant jobs more attractive and fulfilling, thus increasing employees' level of work engagement. Besides, ensuring that the appraisal system is fair is pivotal to work engagement. Work engagement will cultivate a strong sense of emotional attachment between employees and employers, thus reducing the turnover intention of Malaysian O&G professionals.

To date, little has been done on employees' satisfaction with HRM practices with respect to their attitudinal and behavioural outcomes. The present study enhances our understanding of the importance of employees' satisfaction with HRM practices and its relation to employees' work engagement and turnover intentions.

Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To take full advantage of the purpose of causal prediction in PLS-SEM, it is imperative for researchers to comprehend the efficacy of various quality criteria, such as traditional PLS-SEM criteria, model fit, PLSpredict, cross-validated predictive ability test (CVPAT) and model selection criteria.

A systematic review was conducted to understand empirical studies employing the use of the causal prediction criteria available for PLS-SEM in the database of Industrial Management and Data Systems (IMDS) and Management Information Systems Quarterly (MISQ). Furthermore, this study discusses the details of each of the procedures for the causal prediction criteria available for PLS-SEM, as well as how these criteria should be interpreted. While the focus of the paper is on demystifying the role of causal prediction modeling in PLS-SEM, the overarching aim is to compare the performance of different quality criteria and to select the appropriate causal-predictive model from a cohort of competing models in the IS field.

The study found that the traditional PLS-SEM criteria (goodness of fit (GoF) by Tenenhaus, R2 and Q2) and model fit have difficulty determining the appropriate causal-predictive model. In contrast, PLSpredict, CVPAT and model selection criteria (i.e. Bayesian information criterion (BIC), BIC weight, Geweke–Meese criterion (GM), GM weight, HQ and HQC) were found to outperform the traditional criteria in determining the appropriate causal-predictive model, because these criteria provided both in-sample and out-of-sample predictions in PLS-SEM.

This research substantiates the use of the PLSpredict, CVPAT and the model selection criteria (i.e. BIC, BIC weight, GM, GM weight, HQ and HQC). It provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS-SEM in IS studies.

The purpose of this paper is to explore the role of training satisfaction as a predictor of organisational citizenship behaviour (OCB) and turnover intention. The study further examines the mediating role of OCB between training satisfaction and turnover intention.

Data were collected from 409 Malaysian oil and gas (O&G) sector employees. Partial least squares structural equation modelling (PLS-SEM) was used to test the hypotheses in the research model using SmartPLS 3.0.

This study highlights the significant positive impact of training satisfaction on OCB and the negative effect on turnover intention. Contrary to expectations, OCB proved to be neither a predictor of turnover intention nor a mediator in the model.

Although the main aim of this study was to test the theoretically driven hypotheses, the findings have a number of valuable implications for organisations. This study suggests that O&G organisations should focus on increasing employee satisfaction with training to maximise desired workplace attitudes and behaviours.

This is the first study to explore the causal links between training satisfaction, OCB and turnover intention. Although it has been observed in the past that training does not directly influence turnover intention, the present study indicates that training satisfaction significantly influences turnover intention. Further, this study unexpectedly found no direct relationship between OCB and turnover intention. Also, OCB was not a significant mediator in the present study. These unexpected findings open new avenues for future research, thus representing an important contribution of the present study.

The purpose of this paper is twofold. First, it examines the impact of person-organisation fit (P-O fit) on work engagement (WE) and the impact of WE on turnover intention. Second, it examines the mediating role of WE between P-O fit and turnover intention.

A cross-sectional online survey design was used to collect data through snowball sampling procedure. In total, 422 oil and gas (O&G) professionals participated in this study. In total, 13 incomplete samples were excluded during initial screening. As a result, 409 samples were used for final data analysis. The partial least squares-structural equation modelling, using SmartPLS3.0, was performed to test the hypothesised model.

The results of the study revealed strong ties between P-O fit, WE, and turnover intention. Specifically, P-O fit was found to be a strong predictor of WE and WE is negatively related to employees’ turnover intention. Further, WE mediated the relationship between P-O fit and turnover intention.

The findings of this study suggest that O&G organisations must pay greater attention to P-O fit to increase employees’ level of engagement and decrease voluntary turnover rate. Overall, the findings provide pragmatic insights for human resource management practitioners and the relevant stakeholders.

To date, little attention has been devoted to understanding the mediating role of WE between P-O fit and turnover intention. The present study addresses this gap in the literature.