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Leveraging the technology acceptance model (TAM) and the stimulus–organism–response (S–O–R) theory, this paper aims to investigate how the utilitarian and hedonic factors in virtual reality (VR) technologies affect consumers' intention to travel in the endemic phase of COVID-19. At the same time, the study incorporated emotional engagement and two forms of trust as possible organisms for this model.

Through snowball sampling, data collected from 263 respondents were analysed using the partial least square structural equation modelling (PLS-SEM).

The findings revealed that among the different forms of hedonic and utilitarian factors, all but perceived entertainment has a significant positive relationship to emotional engagement. Additionally, emotional engagement positively influences trust in the product and seller. However, the results show that only trust in the seller has a significant relationship with travelling intention. Predictive analysis shows that the model displays a strong predictive power.

This study differentiates from the existing literature by investigating the effect of VR technologies on the two different forms of trust and emotional engagement on travelling intention. This study extends earlier studies by supplementing the explanatory perspective with a predictive focus, which is particularly important in making sound recommendations on managerial decision-making.

The current complex halal food supply chain (SC) has caused food scandals, which have illustrated the weakness of multiple food quality standards and certification and audits in ensuring food safety. Drawn on the resource-based view (RBV) theory, the purpose of this study is to explore the impacts of SC integration (SCI) on halal food SC integrity and, consequently, food quality.

Empirical data were collected from 275 halal-certified food companies in Malaysia and analysed using structural equation modelling – SmartPLS3.0.

The results confirmed that SCI, including internal, supplier and customer integrations, has significant effects on the dimensions of the halal food SC integrity which, in turn, lead to halal food safety and quality.

The importance of SCI in halal food SC is highlighted in this study. The impact of SCI is contexted in halal food SC integrity and food quality. Therefore, it provides a clear understanding to managers of SC applicability in the halal food industry.

Based on the RBV theory, this study contributes to the limited body of research of the relationships among SCI from the context of the halal industry with a specific focus on food supply chain integrity and food quality.

Although the value of artificial intelligence (AI) has been acknowledged by companies, the literature shows challenges concerning AI-enabled business-to-business (B2B) marketing innovation, as well as the diversity of roles AI can play in this regard. Accordingly, this study investigates the approaches that AI can be used for enabling B2B marketing innovation.

Applying a bibliometric research method, this study systematically investigates the literature regarding AI-enabled B2B marketing. It synthesises state-of-the-art knowledge from 221 journal articles published between 1990 and 2021.

Apart from offering specific information regarding the most influential authors and most frequently cited articles, the study further categorises the use of AI for innovation in B2B marketing into five domains, identifying the main trends in the literature and suggesting directions for future research.

Through the five identified domains, practitioners can assess their current use of AI and identify their future needs in the relevant domains in order to make appropriate decisions on how to invest in AI. Thus, the research enables companies to realise their digital marketing innovation strategies through AI.

The research represents one of the first large-scale reviews of relevant literature on AI in B2B marketing by (1) obtaining and comparing the most influential works based on a series of analyses; (2) identifying five domains of research into how AI can be used for facilitating B2B marketing innovation and (3) classifying relevant articles into five different time periods in order to identify both past trends and future directions in this specific field.

The purpose of this paper is to establish a conceptual model adopted from a strategy-structure-performance paradigm for investigating the fit between the supply chain integration and halal food supply chain integrity and the impact of halal food supply chain integrity on firms’ performance in a Malaysian context.

This study comprises a sample of a halal manufacturing firm in Malaysia. A cross-sectional research design was used in this study. Data were gathered based on mailed and personally administered questionnaires. SmartPLS was used to analyse the 254 valid responses.

The research findings indicate that internal integration and strategy have positive impact on halal food supply chain integrity. The study results confirmed that customer integration and supplier integration contributes to halal food supply chain integrity. It also finds that halal food supply chain integrity has a significantly positive impact.

The results suggested that a strategic collaboration with the supplier pivoted around the quality and integrity of the raw materials should be undertaken.

The results from this study supports that the managers should adopt all halal food supply chain integrity components to achieve a superior performance. Even though some of the components did not yield significant results in terms of their relationships with firms’ performance, these dimensions were generally related to the standardised industry requirements, such as certifications.

The findings are original and unique and are based on established theories from the literature on supply chain management practices. The research findings are useful to academics and policymakers interested in fostering a halal supply chain in Malaysia.

The purpose of this paper is to examine the factors influencing Sabah’s indigenous food consumption, namely Kadazan-Dusun food, among tourists from China, Europe and Malaysia (non-Sabahans).

Survey forms were distributed to tourists from China, Europe and Malaysia using purposive sampling at tourist spots in Sabah, Malaysia. In total, 254 responses were collected, and the data were analyzed using the partial least squares structural equation modeling (PLS-SEM).

The findings demonstrate that tourists from China and Europe possess some similarities in consuming indigenous food in Sabah. They enjoy trying indigenous food even they are not familiar with the food. Additionally, our findings also show that tourists from China regard sensory appeal as an important aspect of food choice. Meanwhile, it is found that convenience and mood influence Malaysian’s choice of indigenous food.

This study provides insights regarding Sabah’s Kadazan-Dusun food consumption from foreign and domestic tourists’ perspectives. As such, it also provides direction to the local eateries and relevant tourism authorities to better promote indigenous food to foreign and domestic tourists.

Despite the potential influence of data analytics capability on servitization, the understanding of the underlying mechanisms of this influence remains unclear. This study aims to explore how data analytics capability affects servitization by examining the mediation effect of bricolage and the conditional role of innovation orientation.

This study employs the moderated mediation method to examine the proposed research model with archival data and multiple-respondent surveys from 1,206 top managers of 402 manufacturing firms in the Yangtze River Delta area in China.

Bricolage partially mediates the positive relationship between data analytics capability and servitization, and innovation orientation positively moderates this effect.

Manufacturers can leverage bricolage to materialize data analytics capability for servitization. Manufacturers should also pursue an innovation orientation to fully glean the benefits of bricolage in transforming data analytics capability into servitization.

This study opens the black box of how data analytics capability affects servitization by revealing the underlying mechanism of bricolage and the boundary condition role of innovation orientation for this mechanism. It offers valuable insights for practitioners to leverage data analytics to improve servitization through developing bricolage and cultivating a culture of innovation orientation.

Festivals are becoming a growing commodity for countries keen to increase their portfolio of tourist attractions. The benefits experienced by the local community and the visitors at festivals are multi-faceted. However, existing tourism research has primarily focussed on the value of the event in terms of customer satisfaction. It has yet to explicitly identify the affect music festivals have on individuals' well-being. This study aims to investigate the effect of music festival unique attributes on visitors' satisfaction levels and how it influences individuals' well-being.

A paper-based questionnaire was distributed to participants visiting the Miri Country Music Festival (MCMF) in Malaysia, and partial least squares–structural equation modelling (PLS-SEM) was used for data analysis.

The results from 288 respondents revealed that the festival programme was the main attribute in influencing one's satisfaction to a festival, which in turn improved one's subjective well-being. The other attributes that influence an individual's satisfaction in a music festival include food, information services and festival value.

This study advances the body of knowledge by integrating the self-determination theory and the environmental psychology theory as the bases that a music festival potentially provides an engaging environment that is conducive for positive well-being among the participants. This is the first study that confirms the influence of the different predictors on the perceived value of MCMF, proposing a model in developing a better understanding of the participants' well-being.

This study aims to investigate the intention of using mobile payment (m-payment) services in Sarawak, Malaysia.

A total of 194 online payment users were selected to respond to the structured questionnaire. The partial least squares-structural equation modelling (PLS-SEM) was used to analyse the data by assessing the measurement and model.

Perceived usefulness (PU) and perceived ease of use mediated the relationship between perceived compatibility (PC) and the intention to use the mobile payment for mobile network operators’ services.

The analysis provides insights that PC is considered as a significant determinant for mobile payment of mobile network operators’ services.

The operators can consider factors such as PC in the design of their mobile applications and the potential to expand the m-payment services to others e-wallet such as Sarawak e-wallet. The model possesses medium prediction power, which suggests that other variables such as perceived security and personal innovativeness also can be used to predict the usage behaviour of mobile payment for the mobile network services.

The present study contributes to the m-payment users’ behaviour intention literature by investigating the mobile-based predictors of using m-payment technology in an emerging digital economy state in Sarawak, Malaysia. This study also extends the knowledge of technology acceptance model by introducing the mediation effect of PU and ease of use between the mobile-based predictors and m-payment intention.

Meaningful work is gaining importance in the core domains of human resources research. However, there is confusion regarding what constitutes meaningful work and its determinants and outcomes. Earlier studies have conflated conceptual and empirical arguments. Hence, researchers lack clear insights into factors related to employees' experiences of meaningfulness. This study aims to discuss the aforementioned issue.

The authorsconducted a systematic literature review (SLR) of 88 studies (2000–2020) meeting relevant criteria to identify dominant trends and significant gaps in the authors’ understanding of meaningful work.

This review identified six aspects to conceptualize meaningful work. At the same time, the authors highlighted the dominant theory and the instrument used to explain and measure meaningful work. Based on the same, the authors identified different groups of individual and organizational-level determinants and outcomes of finding meaning in work. The analysis also indicates that the comprehension of meaningful work was restricted because most data were obtained from the USA, Europe and certain regions of Asia. During this assessment, the authors observed that several studies emphasized individual-level effects, self-reporting and cross-sectional studies, which restricted the ability to make causal inferences.

This study extends earlier works where the authors stock-take existing research for the past 20 years and build on past trajectories to enrich the authors’ understanding of meaningful work. Unlike earlier works that focused on a specific domain, such as human resource development, this work differentiates by taking an integrated framework-based approach leveraging the antecedents, decisions and outcomes (ADO) and the theories, contexts and method (TCM) framework to consolidate and advance knowledge in the field thoroughly.