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This paper aims to provide a process-driven scientific data quality (DQ) monitoring framework by information product map (IP-Map) in identifying the root causes of poor DQ issues so as to assure the quality of scientific data.

First, a general scientific data life cycle model is constructed based on eight classical models and 37 researchers’ experience. Then, the IP-Map is constructed to visualize the scientific data manufacturing process. After that, the potential deficiencies that may arise and DQ issues are examined from the aspects of process and data stakeholders. Finally, the corresponding strategies for improving scientific DQ are put forward.

The scientific data manufacturing process and data stakeholders’ responsibilities could be clearly visualized by the IP-Map. The proposed process-driven framework is helpful in clarifying the root causes of DQ vulnerabilities in scientific data.

As for the implications for researchers, the process-driven framework proposed in this paper provides a better understanding of scientific DQ issues during implementing a research project as well as providing a useful method to analyse those DQ issues based on IP-Map approach from the aspects of process and data stakeholders.

The process-driven framework is beneficial for the research institutions, scientific data management centres and researchers to better manage the scientific data manufacturing process and solve the scientific DQ issues.

This research proposes a general scientific data life cycle model and further provides a process-driven scientific DQ monitoring framework for identifying the root causes of poor data issues from the aspects of process and stakeholders which have been ignored by existing information technology-driven solutions. This study is likely to lead to an improved approach to assuring the scientific DQ and is applicable in different research fields.

Drawing on the framework of the trickle-down effect and social learning theory, this study aims to examine how and when leaders' voluntary green behavior (VGB) stimulates that of employees.

This study conducted a time-lagged multisource field survey. The final sample consisted of 417 employees matched to 67 leaders. The unconflated multilevel modeling (MLM) approach was employed.

A social learning mechanism underlies the trickle-down effect of leaders' VGB, which involves observation and imitation. The green role model influence serves as a mediator of these two processes. Moreover, leader-member exchange (LMX) moderates the strength of the social learning mechanism.

Leaders can gain useful insights of how to promote employees' VGB and are further inspired to reflect on the managerial philosophy of leading by example.

This study contributes to workplace green behavior literature by examining the trickle-down effect of leader VGB and uncovering a social learning mechanism. This study also offers promising directions for leadership research concerning about role modeling.

As the current Coronavirus 2019 pandemic eases, international tourism, which was greatly affected by the outbreak, is gradually recovering. The attraction of countries to overseas tourists is related to their overall performance in the pandemic. This research integrates the data of vaccination of different countries, border control policy and holidays to explore their differential impacts on the overseas tourists’ intention during the pandemic. This is crucial for destinations to built their tourism resilience. It will also help countries and industry organizations to promote their own destinations to foreign tourism enterprises.

This study proposes an analysis based on panel data for ten countries over 1,388 days. The coefficient of variation is used to measure monthly differences of Chinese tourists’ intention to visit overseas country destinations.

Results show that, for tourist intention of going abroad: border control of the destination country has a significant negative impact; daily new cases in the destination country have a significant negative impact; domestic daily new cases have a significant positive impact; holidays have significant negative impact; daily vaccination of the destination countries has significant positive impact; and domestic daily vaccination have negative significant impact.

First, there is a large uncertainty in studying consumers’ willingness to travel abroad in this particular period because of unnecessary travel abroad caused by the control of the epidemic. Second, there are limitations in studying only Chinese tourists, and future research should be geared toward a broader range of research pairs.

First, from the government perspective, a humane response can earn the respect and trust of tourists. Second, for tourism industry, to encourage the public take vaccine would be beneficial for both the tourism destination and foreign tourism companies. The same effect can be achieved by helping tourists who are troubled by border control.

First, this research provides suggestions for the government and the tourism industry to deal with such a crisis in the future. Second, this study found that vaccination has a direct impact on tourism. This provides a basis for improving people’s willingness to vaccinate. Thirdly, this study proves suggestion for the destinations to build tourism resilience.

This study analyzes the unique control measures and vaccination in different countries during the pandemic, then provides suggestions for the tourism industry to prepare for the upcoming postpandemic tourism recovery. This study is valuable for improving the economic resilience of tourism destinations. Additionally, it helps to analyze the advantages and disadvantages of different restrain policies around the world.

The purpose of this paper is to investigate customer loyalty in the online-to-offline (O2O) model by conceptualizing and measuring emotion and cognition.

An online survey was used to collect 514 questionnaire responses. The data were analyzed using structural equation modeling.

Three emotional factors influence two cognitive factors, which in turn affect customer loyalty. The type of message source acts as a moderator. In addition to pleasure and arousal, dominance is a key factor of emotion. The effects of social enhancement and store environment on customer loyalty reflect the O2O model’s integration of online and offline environments.

The moderating role of the type of message source implies that marketers of brick-and-mortar stores can promote positive offline experiences to attract online customers and then encourage these customers to disseminate personal messages in their social circles. By attracting online customers through appealing m-services and retaining these customers through favorable store environments, marketers can maximize the utility of the O2O model.

Three emotional factors and two cognitive factors are conceptualized to predict customer loyalty in the O2O model. This study shows that the relationships between cognitive factors and customer loyalty are moderated by the type of message source. When check-in activity messages are sent by friends, the perception of social enhancement can lead to greater customer loyalty. In contrast, when check-in activity messages are sent by unfamiliar sources, customer loyalty is driven more by cognition of the store environment than by online interaction. The findings enrich existing knowledge of the O2O model and m-services, and have implications for researchers and marketers.

This study aims to empirically test the influence of pull factors on the intention to engage in Muslim-friendly travel. This study proposes a distinct path between Islamic attributes and emotional value and scepticism, along with destination image and its functional value. This study also proposes the role of halal awareness in moderating the relationship between Islamic attributes and scepticism.

This study used a quantitative approach using an online survey. The authors purposively selected younger individuals who had travelled inside the country at least three times during the past five years. With a total of 416 valid responses, this study used variance-based partial least squares to test the hypotheses.

The results show that intention to engage in Muslim-friendly travel is positively influenced by emotional and functional values, but negatively by scepticism. Emotional value and scepticism are influenced by Islamic attributes, whereas functional value is influenced by destination image. More specifically, halal awareness is proven to moderate the relationship between Islamic attributes and scepticism, in which individuals with a higher level of halal awareness tend to be less sceptical about halal offerings.

This study supports a previous study in which emotional and functional values are considered differently by consumers. Furthermore, the dual role of Islamic attributes, as pull factors, is confirmed, providing a deeper understanding of its influence on emotional value and scepticism. To the best of the authors’ knowledge, this study is also the first to investigate the role of halal awareness in increasing the level of scepticism among Muslim consumers.

The food supply chain (FSC) challenges coupled with global disruptions, such as the recent coronavirus disease 2019 (COVID-19) pandemic outbreak, exacerbate its vulnerability. The Internet of things (IoT) is one of the disruptive technologies being adopted in food supply chain management (FSCM). This study aims to address the challenges of IoT adoption in the FSC by systematically analyzing the prior pertinent literature.

A structured literature review was used to collate a list of peer-reviewed and relevant publications. A total of 72 out of 210 articles were selected for the final evaluation.

The literature review findings suggest five themes: technical, financial, social, operational, educational and governmental related challenges. A total of 15 challenges were devised from the review related literature of IoT adoption. The study concludes with future research recommendations for scholars and practical implications for practitioners.

While this study focuses on the overall FSC, further research should address other domains in the FSC such as cold supply chain, agriculture and perishable food to gain a better contextual understanding of the specific case.

The topic of IoT adoption in the FSCM is still considered emerging. Therefore, the present work contributes to the limited studies and documentation on the level of IoT implementation in the FSCM. This study should help organizations to assimilate how to adopt and manage the IoT application by addressing the factors and challenges presented in this research.

Islam describes business as a legitimate means of halal income. However, little is known about what attracts people towards Islamic entrepreneurship or halalpreneurship. By applying the theory of planned behaviour, this study aims to contribute to this underexplored area by investigating the factors that affect Islamic entrepreneurial intention (IEI).

This study examined a mediation model using two country samples. First, the hypotheses were tested on a sample recruited from a high-income economy (i.e. Saudi Arabia) using structural equation modelling in AMOS V26. The authors then conducted a replication study to investigate the robustness of the findings using a sample recruited from a lower-middleincome economy (i.e. Bangladesh) and a different analysis technique, the PROCESS mediation model in SPSS V25.

The findings suggest that IEI depends on four antecedents, namely, attitude towards Islamic entrepreneurship, general entrepreneurial self-efficacy, Islamic entrepreneurial self-efficacy and perceived halal income. These antecedents also mediate the relationship between moral judgement and IEI.

This study offers an empirical framework that captures several perspectives on the formation of IEI. The findings contribute to entrepreneurial intention and motivation research by suggesting factors that motivate individuals to engage in Islamic entrepreneurship.

The findings imply that the framework of IEI can withstand diverse socioeconomic contexts. A novel perspective of this study is that Muslims who are motivated by perceived halal income show greater interest in becoming Islamic entrepreneurs.

This study aims to use the framework of customer dominant logic to explore the mediating role of service co-creation on the relationships between customer involvement and perceived service performance and between customer involvement and word-of-mouth (WOM). It also investigates the moderating role of customer relational-motivational orientation on the relationship between customer involvement and service co-creation.

A questionnaire survey was conducted to collect responses from 289 Hong Kong's customers in different service settings. Structural equation modeling was used to test the proposed research model.

The results of structural equation modeling showed that the freedom of co-creation and the degree of collaboration fully mediated the effect of customer involvement on perceived service performance and WOM. Additionally, relational-motivational orientation moderated the relationships between customer involvement and the freedom of co-creation and between customer involvement and the degree of collaboration.

This research provides implications to managers on how to facilitate an environment that stimulates customer co-creation. Customer-contact employees must be trained with the necessary interpersonal skills to serve customers with different levels of relational-motivational orientation.

The study is one of the first to identify customer involvement as a key antecedent of service co-creation attributes and the moderating role of relational-motivational orientation on the relationships between customer involvement and service co-creation attributes.

There are many entrepreneurial communities in the Asian subcontinent, which are known for their economic resilience and religious orientation but have received limited attention in extant literature. These communities include Memon, Delhiwala, Chinioti, Ismaili and Bohri, which have been persistent in keeping their members economically stable, as many centuries, while also retaining their religio-sociocultural identity. This paper aims to add to the body of literature by documenting the possible factors, which contribute toward advancing socio-economic justice for the members of respective communities.

This study uses Eisenhardth research strategy within a social constructivist paradigm to process data from in-depth interviews, memos and documentary sources to explore the internal dynamics of three most prominent of these communities (Memon, Delhiwala and Chinioti) in Pakistan.

The findings reveal that the secret to their resilience is, perhaps, rooted in their religio-sociocultural communal norms, which may not just ensure effective wealth redistribution among the deserving segments of the society but may also enable its deserving members to achieve self-reliance through community-supported–entrepreneurial–activity. This study proposes that a culture of community-based–family–entrepreneurship coupled with the spirit of cooperation, sacrifice and reciprocity may eliminate the possibility of socioeconomic injustice.

The religious entrepreneurial communities may be seen as an alternate to free-market or state-driven methods to impart socioeconomic justice where needed. The voluntary inclination of entrepreneurs in such communities to facilitate those in need may, perhaps, reduce or even eliminate the need to involve state intervention to redistribute wealth through taxation, which may also eliminate the cost of the state bureaucracy, which is used for the collection and redistribution of taxes.

The findings add to the body of literature which could help similar communities to improve their socioeconomic stability in a just manner for all its members. Policymakers can also take notice of the religio-sociocultural norms at the source of socioeconomic justice within the respective communities to formulate policies conducive to sustaining such norms where necessary.