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This study aims to conduct a bibliometric assessment of existing literature in the fields of health communication and social media in the Asian context.

Using 265 Scopus-indexed papers, a comprehensive bibliometric study was performed, incorporating both performance and science mapping analyses.

The results reveal an increasing trend in the publication of this topic. This study also identified the top author, country, articles and author collaboration clusters. Four primary themes emerged from the publications: “Papillomavirus” and “the COVID-19 pandemic” were categorized as niche themes; “gender and cohort” was identified as a basic theme; and “behavioral intention” was classified as an emerging or declining theme. These can serve as the foundations for future research directions.

This research used only the Scopus database as its data source. However, future bibliometric research could investigate other databases.

This paper has practical implications for researchers, health communication managers, government and policymakers. It provides valuable information that can guide researchers in conducting new studies, fostering collaborations and conducting further bibliometric analyses. Health communication managers can use this paper to design and manage social media-based health communication programs. The government could leverage these findings to support evidence-based policy implementation in the field of health communication.

This study, to the best of the authors’ knowledge, marks the first bibliometric analysis focused on the literature in the field of health communication and social media in the Asian context.

This paper aims to analyse the bibliometric characteristics of the ISO 50001 publication, map the state of the art of the research topic and identify future research issues.

This research is a bibliometric study. The data were collected from Scopus. Both performance and science mapping analysis were performed.

The research results showed the top author, paper and country of ISO 50001 publications. There are four author collaboration clusters and five country collaboration clusters. Eight research themes were mapped into four quadrants based on the density and centrality. The bibliometric coupling analysis showed six research clusters. Finally, the research issues were mapped. The implications were discussed.

This research gave several implications for researchers, practitioners and public policymakers. For researchers, the bibliometric analysis provides several research issues that can be followed up by future research. For practitioners, the bibliometric analysis showed that applied tools and methods that can assist the implementation of ISO 50001-based energy management have been developed. For public policymakers, the bibliometric analysis offered the knowledge structure on ISO 50001 that can be used in public policymaking development. The author collaboration cluster and the bibliometric coupling cluster can be used to trace the scientific information that is needed as the foundation of public policy.

Many ISO 50001 studies have been performed. However, based on the search in several main academic scientific paper databases, there is no bibliometric study on the research topic. This is the first bibliometric study on ISO 50001 publication. This study takes a holistic approach combining performance analysis and science mapping analysis that includes elaborated thematic mapping and evolution analysis.

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.

While there has been extensive research on understanding the effects of online reviews on product sales, there is not enough investigation of the inter-relationships between online reviews, online search and product sales. The study attempts to address this gap in the context of the Indian car market.

The research uses text mining and considers six important review features volume, valence, length, deviation of valence, sentiment and readability within the heuristic and systematic model of information processing. Panel data regression is used along with mediation analysis to study the inter-relationships between features of reviews, online search and sales.

The study finds that numerical heuristic features significantly affect sales and online search, numerical systematic feature affects sales and the textual heuristic and systematic features do not affect sales or online search in the Indian car market. Further, online search mediates the association between features of reviews and sales of cars.

Although only car sales data from India is considered in this research, similar relationships between review features, online search and sales could exist for the car market of other countries as well.

This research uncovers the unique role of online search as a mediator between review features and sales, whereas prior literature has considered review features and online search as independent variables that affect sales.

This study investigates the evolution of digital transformation research trends in the context of the fashion industry. The paper analyzes and addresses the impact of digital innovations on three areas of the industry: products, processes and business models.

The study examined 277 peer-reviewed articles using various bibliometric tools and indicators, aiming to identify and organize the contributions of the most influential works. Additionally, a critical review of the ten most cited papers in the field was carried out.

The study shows that digitalization is not merely a technological trend; rather, it is a transformative force reshaping the fashion industry. It fosters collaboration, innovation and sustainability, creating an ecosystem where businesses can thrive by aligning with circular principles and leveraging digital tools.

The paper reveals a gap in the scientific systematization and exploration of the variety of applications of digital tools in the fashion industry. The study’s limitations include the keywords chosen for the research and the period of the research from 1998 to 2023.

The paper pursues to contribute to the current discussion on sustainable practices within the fashion industry, while also setting the foundation for future progress in digital innovation that supports the increasing need for sustainable and personalized products.