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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.

This paper provides an overview of the visiting friends and relatives category in international tourism researchover the last decade. It was delivered as a keynote paper at the international conference, “VFR Tourism: Issues and implications” held at the Victoria University of Technology, Melbourne, Australia, in October 1996.

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.

The purpose of this paper is to analyze the business model of techno parks (TPs) in Turkey and shed light on the value co-creation in TPs in the light of the service perspective and stakeholder theory.

In this conceptual paper, a generic business model canvas for Turkish TPs has been elicited based on an in-depth review of the literature. Then, the functioning of the model and the nature of value co-creation have been viewed through the lenses of service perspective and stakeholder theory, and then the relationships and flows between the components of the business model have been visualized with a dynamic model.

The institutional environment leads Turkish TPs to have similar business models with functional differences. The value is co-created by stakeholders in TPs and value co-creation depends on the skills, competencies and cooperative efforts of all actors involved in the functioning of the business model.

This paper provides insight for TP management companies to improve their business models, for policymakers to refine institutional framework to enable effective functioning of TPs and for stakeholders to understand their role in value co-creation.

This paper provides a dynamic framework and a model for understanding business models of TPs and the value co-creation process, which is an understudied area, especially in a developing country context. It also extends the business model and value co-creation literature in the context of TPs by integrating multiple theoretical perspectives.

This study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.

A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.

The results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.

The primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.

Understanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.

The study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.

This research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.