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This study assesses the current landscape of business continuity management (BCM) research while exploring research trends, structures and delineating potential future directions.

A comprehensive bibliometric analysis was conducted on 360 articles from the Scopus and Web of Science databases using Biblioshiny software. A meta-synthesis was employed to aggregate and synthesize findings from the bibliometric results.

The results demonstrate a notable increase in publication numbers since the onset of the pandemic, reaching a peak in 2022 with a total of 342 articles. A collaborative bond among scholars transcends geographical boundaries and national affiliations. The analytical results propose avenues for future research, addressing crucial areas such as the integration of business continuity management systems (BCMS), the development of BCM frameworks and a comparative analysis of business impact analysis (BIA) frameworks through pertinent theories.

The study contributes theoretical and practical implications, serving as a valuable resource for academics and practitioners seeking to deepen their understanding of BCM’s role in business recovery and preserving organizational continuity in the face of disruptions.

This study pioneers a comprehensive approach by integrating bibliometric analysis and qualitative meta-synthesis, providing a consolidated overview of BCM research. Additionally, it presents future research proposals in this area.

Recently, autonomous vehicles (AV) acceptance has been studied intensively. This paper aims to map and analyze the bibliometric characteristics of AV acceptance literature. Furthermore, this research aims to identify research gaps and propose future research opportunities.

The bibliometric analysis was performed. Scopus database was used as the source of the literature. This study selected and analyzed 297 AV acceptance papers. The performance and science mapping analysis were performed.

The developed countries tended to dominate the topic. The publication outlet tended to be in transportation or technology journals. There were four research themes in existing literature. Technology acceptance model (TAM) and UTAUT2 tended to be used for explaining AV acceptance. AV acceptance studies tended to use two types of psychological concepts for understanding AV acceptance, namely risk related concepts and functional utilitarian benefit related concepts. In the context of research design, quantitative approach tended to be used. Self-driving feature was the most exploited feature of AV in the existing literature. Three research gaps were mapped and future research opportunities were proposed.

This paper provided a comprehensive information that allowed scientists to develop future research on AV acceptance.

There is lack of paper that discussed the bibliometric characteristics of AV acceptance literature. This paper fulfilled the gap.

The study aims to investigate the roles of trust and team cohesiveness as mediating variables to transmit the effect of transformational leadership dimensions on job satisfaction.

The study employs a quantitative approach with 405 respondents as the samples. The respondents are teachers and staff of schools in East Java, Indonesia. The data are analyzed using partial least square (PLS).

Trust and team cohesiveness fully mediate the relationship between idealized influences on job satisfaction. Besides, idealized influence, inspirational motivation and individualized consideration directly affect job satisfaction.

The relationship between transformational leadership and employee job satisfaction in educational institutions has been rarely explored. The study contributes to the literature on the role of trust and team cohesiveness in transmitting the effect of transformational leadership dimensions on job satisfaction of school employees.

To increase employee job satisfaction at schools, principals need to be highly concerned about trust in the leader–follower relationship. Therefore, principals are responsible for responding to the followers' needs and aspirations and caring for followers.

The significance of the result findings lies in the detailed model that transmits the direct and indirect effect of the transformational leadership dimensions on job satisfaction.