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This study scrutinizes the evolution of thematic directions in the domain of growth-oriented women entrepreneurship research over the past two decades. Furthermore, it explores the implications of this evolution for future research and practical endeavors.

The authors conduct a bibliometric analysis of 741 publications from 2004 to 2023. The analysis first examines publication numbers and identifies important journals and articles based on performance analysis. Moreover, using science mapping techniques, the study provides four thematic maps organized into five-year periods, as well as a Sankey diagram.

The analysis reveals a significant surge in research activity, particularly since 2014, in terms of both the quantity and diversity of themes. The findings show that in 2004–2008, six themes were driving the research domain, but in 2019–2023, the number of themes increased to 24. Moreover, this study offers a holistic perspective on prospective research directions, emphasizing two key themes: emerging economies and sustainability.

This study makes an important contribution by bringing together scholarship on women entrepreneurs and growth-oriented ventures. These themes can be a significant factor in stimulating new approaches to economic growth when considered together. Moreover, this study emphasizes the need for a more diverse and inclusive research environment.

The growth of social media globally has led to brands adopting memes as a tool for communication. They have influenced digital culture, politics and marketing. This study aims to highlight the research gap in meme literature by profiling and science mapping.

This study has performed a bibliometric analysis of research papers on memes from the Scopus database. The authors profiled the literature and found the most relevant journal, author and document. Science mapping techniques such as thematic analysis, thematic evolution and co-citation of papers with content analysis were used.

Profiling of literature revealed that the most relevant journal, based on a number of papers and citations, is New Media and Society. The top researcher on memes is Shiffman L (seven papers), and the most cited author is Menczer F (717 citations). The paper titled “Towards A Unified Science of Cultural Evolution” has the highest number of citations (402). Thematic mapping revealed “Social Movements” and “Twitter” are the currently trending themes. The co-citation analysis clustered the literature into two. The first cluster elucidates the theoretical underpinnings of memes, while the second cluster explicates the various contexts in which memes are studied.

This study will be vital to researchers hoping to study internet memes by providing directions for future research. Furthermore, the insights from this study will enable social media managers to use memes effectively.

To the best of the authors’ knowledge, this study seems to be the first to use bibliometric analysis to profile and map meme literature. This study provides a new perspective for meme researchers to explore memes and suggests marketers implement novel meme-based strategies in their marketing communications.

Supply chain (SC) research has boomed over the past two decades. Significant contributions have been made to the field from various analytical and decision-making perspectives. This paper, a comprehensive bibliometric study, aims to identify the key research contributors, institutions and themes.

A comprehensive knowledge domain visualization of over 1,000 articles, published between 2000 and 2022, is carried out to construct a bird’s eye view of the field in terms of research production, key authors, main publication outlets, geographic disparity of the contributions and emerging research trends. Additionally, collaboration patterns among researchers and institutions are mapped to highlight the communication networks underlying research initiatives.

Results show an explosive growth in the number of articles tackling supply chain optimization (SCO) issues with a significant concentration of the contributions in a relatively small cluster of authors, journals, institutions and countries. Among the many important findings, our analysis indicates that mixed-integer linear programming is the most commonly used model, while robust optimization is the method of choice for handling uncertainty. Furthermore, most SC models are developed at only one level of the organizational hierarchy and consider only one planning horizon. The importance of developing integrated SCO systems is key for future research.

The study fills the optimization techniques gap that exists in SC management bibliometric studies and presents a thematic map for the SCO research highlighting the various research foci.

Purpose: Since its inception in 1987, the literature on the VUCA that represents the volatile, uncertain, complex, and ambiguous nature of the business environment has progressively increased. This study systematically evaluates the vast literature on the VUCA world. Since review-based studies have been criticised as biased, this study uniquely amalgamates bibliometric analysis with content analysis, thereby taking a research triangulation discourse.

Need of the Study: This study was conducted to consolidate the literature about the VUCA environment and uncover the foundational and emerging themes for future research agendas.

Design/Methodology/Approach: This study conducts a performance analysis and science mapping of 193 carefully selected articles (using PRISMA) published in various sources during 2012–2023. Articles for the study were procured from the SCOPUS database. While performance analysis focused on analysing publication and citation evolution, thematic evolution, leading publications, country publication analysis, and most relevant authors and sources. On the other hand, science mapping revealed conceptual structures (keyword plus co-occurrence analysis and thematic maps) and intellectual structures (co-authorship analysis). VOSviewer and Biblioshiny (R-tool for comprehensive science mapping) were used for this study’s choice of application.

Findings: This chapter concludes with future research agendas using content analysis of the ‘scope for the future research’ section of selected publications and bibliographic coupling (to unearth emerging themes).

Practical Implications: The work presented in this chapter will help the researchers gain a structured conceptual, intellectual, and social understanding of the vast literature on the VUCA environment.

Due to the financial disturbances created by the COVID-19 pandemic and the burden on the government exchequer, it is expected to see a rise in the knowledge base of the research corpus so far as the government's fiscal sustainability is concerned. Therefore, the present research examines a systematic quantitative analysis of public debt sustainability research by applying a bibliometric approach. Research also analyzes journals, institutions, countries and authors contributing to public debt sustainability.

This paper scrutinizes the published scientific research on public debt sustainability based on the dataset of 535 articles from 1991 to 2021 obtained from the Scopus database. Biblioshiny (R-based application) and VoSviewer software were used to perform bibliometric analysis through Performance analysis and science mapping techniques. The authors combined co-citation analysis (CCA), bibliometric analysis, keyword co-occurrence analysis (KCA) and a conceptual thematic map of the most cited articles to find the intellectual structure.

The research identified three dominating clusters, e.g. fiscal sustainability and policy rules, empirical sustainability testing and debt and growth dynamics. Another finding was that most articles were analytical and empirical and few descriptive articles were found. Owing to the empirical nature of the domain, the issues concerning public debt sustainability have continued to change over the past decades for different economies, reflecting the complexity and diversity of economic structures of different economies at different times.

The insight of this article provides academicians and researchers with a more refined comprehension of the conceptual and intellectual structure of the research corpus. The present research complements the existing literature review studies by pushing the research towards emerging or less developed issues such as financial and debt crises.

This paper aims to review, systematize and integrate existing research on disposition effect and investments. This study conducts bibliometric analysis, including performance analysis and science mapping and thematic analysis of studies on disposition effect.

This study adopted a thematic and bibliometric analysis of the papers related to the disposition effect. A total of 231 papers published from 1971 to 2021 were retrieved from the Scopus database for the study, and bibliometric analysis and thematic analysis were performed.

This study’s findings demonstrate that research on the disposition effect is interdisciplinary and influences the research in the domain of both corporate and behavioral finance. This review indicates limited research on cross-country data. This study indicates a strong presence of work on investor psychology and behavioral finance when it comes to the disposition effect. The findings of thematic analysis further highlight that most of the research has focused on prospect theory, trading strategies and a few cognitive and emotional biases.

The findings of this study can be used by investors to minimize their biases and losses. The study also highlights new techniques in machine learning and neurosciences, which can help investment firms better understand their clients’ behavior. Policymakers can use the study’s findings to nudge investors’ behavior, focusing on minimizing the effects of the disposition effect.

This study has performed the quantitative bibliometric and thematic analysis of existing studies on the disposition effect and identified areas of future research on the phenomenon of disposition effect in investments.

This paper aims to study the intellectual landscape of green purchase (GP) literature, visualize and analyse the temporal evolution, thematic mapping of emerging and future research themes using a systematic and quantitative literature review approach.

The study employs a bibliometric analysis and examines the bibliometric metadata consisting of 440 studies extracted from the Scopus database for the years 1990–2022 within the GP field.

The findings based on performance analysis and visualization networks reveal the productivity trend of GP by years, authors, academic relationships, international collaborations, top cited publications, most occurring keywords, existing and emerging themes and temporal theme evolution.

It provides a broader/macro view of the topic and lacks specificity and deeper analysis, which can be addressed in future bibliometric studies.

The integration of topics contributes to the development of the intellectual landscape of the GP research field and suggests thrust areas for future research. The study offers important implications for the academic community to gain a comprehensive and global understanding of green purchasing.

This research is unique as previous studies have not quantitatively compiled and extensively analysed work of these characteristics on the area under study using bibliometrics.

This study aims to examine the characteristics of cross-border central bank digital currencies (CBDCs) while pinpointing research trends and adoption variables at both individual and macroeconomic levels. Additionally, it delves into the impact of terminology within CBDC-related scholarly literature themes.

The authors perform a bibliometric study using the metadata of academic papers about CBDC from ScienceDirect, Scopus and Web of Science (WoS), three reputable research databases. Word maps are produced using VOSviewer, an open-source bibliometric analytics program, to find pertinent and predominate words and phrases based on their frequency, placement, connection and co-occurrence. Additionally, the authors use the R programing language to assess the Jaccard similarity between bibliometric metadata and the financial terms in the Loughran-McDonald Master Dictionary (LMMD).

The study pinpoints the factors that affect CBDC adoption at the micro and macroeconomic levels. Insights into prospective future study themes are provided by the analysis of the metadata corpus, which shows significant and predominate words/phrases and themes in CBDC literature. Notably, the relatively low Jaccard similarity scores in the scholarly literature on CBDC-related topics across all three bibliometric databases suggest a restricted concentration on financial issues. This shows that CBDC research is still in its early stages and that there are still many undiscovered financial aspects.

The identification of literature’s themes using dominant and pertinent words based on bibliometric metadata, considering factors such as frequency and co-occurrence, enriches the evolving field of meta-analysis. Additionally, the use of the Jaccard index to assess the coverage of financial terms within bibliometric metadata represents a unique approach, shedding light on the distinctive aspects of CBDC research.

Green knowledge management (GKM) has become a more prominent research topic because of its ability to balance business sustainability, performance and society's well-being. The purpose of this paper is to study how GKM literature evolved before and after two major events: the introduction of sustainable development goals (SDGs) and the first conceptualization of GKM. In this paper, GKM is holistically examined following the stages of the knowledge management cycle, a framework for organizational knowledge-processing phases.

This study performed a bibliometric analysis of 1,274 papers related to GKM from 1995 until January 2024.

Over the three decades, this research outlined the intertwined relationships between core themes in the domain such as knowledge management in the context of corporate social responsibilities, sustainable development (SD), competitive advantage and so on, and popular theories. GKM evolved from an “industrial and technical view” of knowledge management to a more emerging perspective of a “social process.” Emerging themes were identified such as green innovation, information security or organizational learning sub-themes with key technologies like block-chain, big data analytics and artificial intelligence. Future research can explore themes such as green knowledge integration, green entrepreneurship, green supply chain and green knowledge integration capabilities.

This review offers practitioners a holistic picture of GKM to tackle emerging environmental concerns and increase businesses' competitive advantages. This study provides insights into the future practices of GKM, incorporating emerging technological advancement, to gain green intellectual capital and build dynamic capabilities for sustainability.

To the best of authors’ knowledge, this study is the first to provide a comprehensive picture of the GKM literature, from its earliest forms of corporate social responsibility and SD until the introduction of SDGs, and in combination with the evolution of knowledge management cycle stages.

This paper examines the growth trajectory, documents, journals, worldwide distribution authors, scientific production and thematic focus in the field of sustainable HRM.

A total of 765 publications (between 1982 and 2023) were chosen from the Scopus database that were diligently examined to reach insightful results. To aid the investigation, the Biblioshiny tool was used.

Through thematic mapping, the study finds that sustainable HRM is still an emerging and contemporary concept. Moreover, the themes of sustainable HRM are underdeveloped and need conceptual clarity. Additionally, these themes have evolved internally which have made a modest contribution to the advancement of the discipline. Furthermore, topic trending, word frequency and document citations indicate that a growing body of literature on sustainable HRM focuses extensively on environmental issues, demonstrating that HRM should be given greater attention to roles related to sustainability in the workplace.

Sustainable HRM should be a top priority for businesses, with an emphasis on environmental and sustainability concerns. To be in line with global sustainability standards, HR training needs to be updated. Companies should develop HR policies that put sustainability first and spend money on analytical tools. Academic and industrial cooperation can improve the field more quickly. Best practices can be standardized by participation in forums. It is crucial to take a holistic approach that balances environmental, social and economic factors.

This study distinguishes itself by adding highlights on bibliometric insights and thematic emphasis on sustainable HRM, adding to the progress of the field's knowledge and offering insightful pathways for future research.