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The study aims to refine the local university’s supply chain management curriculum to meet regional industry demands, thus boosting the local economy.

Mixed-methods action research combined with neural network modeling was employed to align educational offerings with the needs of the local supply chain management industry.

The research indicates that curriculum revisions, informed by industry leaders and modeled through neural networks, can significantly improve the relevance of graduates' skills to the SCM sector.

The study is specific to one region and industry, suggesting a need for broader application to verify the findings.

Adopting the recommended curricular changes can yield a workforce better prepared for the SCM industry, enhancing local business performance and economic health.

The study supports a role for higher education in promoting economic vitality and social welfare through targeted, responsive curriculum development.

This study introduces an innovative approach, integrating neural network analysis with action research, to guide curriculum development in higher education based on industry requirements.

This study aims to examine if relational attachment could be considered as a mediator in the relationship between social support and career regret. The theoretical framework is based on Kahn’s (2007) work on meaningful connections.

The authors used a three-part survey for data collection, spread over two months from 368 employees for co-worker social support and 324 employees for supervisor social support working in different sectors in India.

The results indicate that for co-workers, relational attachment acts as a mediator between instrumental support and career regret; but for personal support, the mediation effect is absent. However, instrumental support is not directly related to career regret. Notably, in case of social support from the supervisor, there does not seem to be any mediation effect for personal or instrumental support. But social support is related to career regret for both categories of support.

The authors contribute to literature that examines the mechanism, driving social support and career regret. By understanding how these factors interact and impact one another, researchers can develop interventions and strategies to help individuals navigate career decisions, improve their personal relationships and increase their access to social support. Ultimately, this research can lead to improved well-being and career satisfaction for individuals. As the sample is generalized, there is scope to examine if the relationships differ based on the work structures and idiosyncrasies of the industries.

This study examines the unmapped mechanism that mediates the social support and career regret relationship, and in the process, provides new directions for research.

This study aims to build on social comparison theory to develop a theoretical model of leader–member exchange (LMX) relationship to workplace ostracism through perceived organizational status by coworkers and envy. This study further proposes that warmth and competence may potentially moderate these two indirect effects.

This study tested the hypotheses in a battery manufacturing company located in South China by a survey of 216 employees organized in 55 work teams, using different sources. Additionally, the authors conduct two online vignette experiments to test this study’s mediation, proving the causality.

The authors found that high-level LMX leads to both envy and perceived organizational status by coworkers, which results in a mixed blessing on workplace ostracism toward the employee with high-level LMX. The focal employee’s warmth and competence moderate these indirect relationships.

The authors use LMX to explore antecedents of workplace ostracism and explain how and when these focal employees suffer workplace ostracism from their coworkers. The authors extend the research on LMX by examining the interpersonal risk of being a focal employee. The authors discover two critical boundary conditions – warmth and competence.

This study suggests that it is important to balance the level of the differential LMX; appropriately endorsing other members is a good way to avoid eliciting envy and opposition. Meanwhile, person-oriented citizenship behaviors such as demonstrations of concern or help may shortly build up an employee’s warm impression on their coworkers.

By discovering the bright and dark sides of LMX, this paper has the potential to advance theories on LMX and workplace ostracism. Therefore, the authors believe the current research will have an important impact on relevant research in the future.