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Drawing from social contagion theory, this study aims to clarify whether consumers become motivated to help a brand and its community when observing other members contributing to society. The authors also analyzed the boundary conditions and mechanisms of this process.

A mixed-method approach was used to test hypotheses. Study 1 collected survey data from Chinese automobile brand communities, which were analyzed by using partial least squares structural equation modeling. Study 2 conducted an experiment with a fictional Chinese smartphone brand community.

Results showed that brand community social responsibility influenced brand community citizenship behavior but did not directly influence brand citizenship behavior. Collective self-esteem respectively mediated the relationships between brand community social responsibility and both brand community citizenship behavior and brand citizenship behavior. Additionally, a sequential mediation mechanism was identified, where collective self-esteem and brand community citizenship behavior functioned as the first and second mediators. Furthermore, membership duration positively moderated the relationship between brand community social responsibility and collective self-esteem and moderated the mediation effects.

Brand community managers should conduct various social responsibility activities to elicit community and brand citizenship behaviors by cultivating ethical awareness. These activities should be tailored to the membership duration.

To the best of the authors’ knowledge, this study is the first to explore how brand community social responsibility cultivates community and brand citizenship behavior. It is also based on social contagion theory to demonstrate the sequential mediation mechanism.

Technological innovations are rapidly transforming service frontlines, resulting in increasingly complex service touchpoints. These touchpoints place greater demands on frontline employees (FLEs) to deliver a positive customer experience. Despite the considerable extant body of knowledge on FLE competencies, the literature on frameworks for managing the complexity of contemporary frontlines from the FLE’s perspective is sparse. This paper aims to fill this critical gap by developing a framework that enables FLEs to deliver positive moments of truth (MOTs) while ensuring the well-being of all actors involved.

This paper uses a conceptual approach rooted in the organizational mindfulness and individual mindfulness literature as the theoretical lens. This is complemented by a comprehensive review of the FLE skills literature supported by marketplace examples to illustrate the optimal use of the said skills.

This paper proposes a conceptual framework of mindfulness orientation which delineates how FLE competencies underpinned by a set of key skills can deliver positive MOTs and actor well-being.

The research is conceptual in nature and does not contain validation through empirical data.

This comprehensive skill set provides a clear roadmap for firms in both recruitment and developing training for their FLEs, thus contributing to practice.

Firstly, we present a conceptual framework of mindfulness, combining organizational mindfulness and individual mindfulness that will enable employees to help facilitate the creation of positive MOTs. Secondly, we develop a comprehensive set of employee skills that underpin the mindfulness orientation framework.

Data quality assurance (DQA) is essential for enabling the sharing and reuse of research data, especially given the increasing focus on data transparency, reproducibility, credibility and validity in research. Although the literature on research data curation is vast, there remains a lack of theory-guided exploration of DQA modeling in research data repositories (RDRs).

This study addresses this gap by examining 12 distinct cases of DQA-related knowledge organization tools, including four metadata vocabularies, three metadata schemas, one ontology and four standards used to guide DQA work in RDRs.

The study analyzed the cases utilizing a theoretical framework based on activity theory and data quality literature and synthesized a model and a knowledge artifact, a DQA ontology (DQAO, Lee et al., 2024), that encodes a DQA theory for RDRs. The ontology includes 127 classes, 44 object properties, 7 data properties and 18 instances. The article also uses problem scenarios to illustrate how the DQAO can be integrated into the FAIR ecosystem.

The study provides valuable insights into DQA theory and practice in RDRs and offers a DQA ontology for designing, evaluating and integrating DQA workflows within RDRs.

This study aims to reflect on the future of work dimensions through the new concept of inclusive organizational behaviour (IOB) and its practices.

This work is a reflective concept development paper that focuses on new dimensions of organizational behaviour (OB) exploring IOB practices in the new workplace which can broaden the concept of OB that fits into the future of work.

The IOB practices will adapt and help in adapting to the new work dynamics that can create more humane and stimulating workplaces, thereby benefiting society at large. Individual positive psychological traits, team dynamics and a fusion of digital corporate culture with a human-centric approach and sustainability are highlighted in the redefined IOB, expanding the concept of OB from the three levels of analysis (individual, group and the entire organization’s behaviour) in the new normal post-COVID situation.

Limited research studies are being conducted to investigate the future of work dynamics in the new standard post-COVID environment, which is dominated by digitization. The lack of literature and the changing situations that impact OB are the limitations.

Corporate houses, policymakers and leaders who understand the workplace dynamics in the post-COVID scenario can effectively leverage the insights from this work and may chalk out a road map for future work through IOB practices.

This research extends knowledge pertaining to IOB practices and the changing dynamics that need to be followed in the future OB practices.

This study aims to examine the relationship between high commitment human resource management (HCHRM) practices and employee well-being in the food service industry, with a focus on the mediating roles of job demands and psychological conditions.

A survey was conducted among 296 frontline employees in the food service industry, and the data were analyzed using structural equation modeling (SEM) in AMOS ver26.

The results showed that HCHRM practices do not directly affect employee well-being. However, psychological conditions play a crucial role in mediating the relationship between HCHRM practices and employee well-being. Specifically, the psychological conditions of meaningfulness and availability significantly predicted work engagement and mediated the relationship between HCHRM practices and employee well-being. On the other hand, job demands did not mediate the relationship between HCHRM practices and employee well-being.

Although the study addressed common method variance, the cross-sectional nature of the data limits the ability to infer causal relationships among variables. Future studies could adopt a longitudinal research design to investigate the causal relationships among variables. In addition, the study recommends that managers in the food service industry adopt HCHRM practices and provide necessary psychological conditions to promote employee well-being.

This study extends the current literature on HCHRM and employee well-being in the food service industry by providing new insights into the mediating role of psychological conditions. The findings suggest that HCHRM practices can indirectly promote employee well-being through the enhancement of psychological conditions. These insights could help managers in the food service industry to design effective HRM strategies that foster employee well-being and reduce turnover.