ABSTRACT The agility construct has garnered the attention of contemporary researchers and practitioners worldwide, with the related HRD literature featuring several terminologies of agility at the individual level. Particularly, learning agility and employee agility are crucial for attaining a competitive advantage in dynamic business environments. In the current literature, these concepts appear to overlap significantly with talent agility, agile mindset, and career agility. This bibliometric study aims to reveal the intellectual structure and evolution of individual agility research by focusing on multiple interrelated terms, thereby guiding future studies in the interdisciplinary area. Citation analysis and co-citation analysis are applied to analyse 220 papers published between 2000 and April 2025. The findings highlight the most influential articles, prominent authors and journals, theoretical foundations, and research opportunities. Two distinct clusters emerge from the scientific mapping, integrating different sub-streams under the individual agility area. The temporal analysis also identifies innovation, retention, and employability as key themes in recent individual agility research against the backdrop of digital disruptions. Based on a comprehensive review, theoretical implications and actionable insights for the global HRD field are presented.

This bibliometric study maps research at the intersection of artificial intelligence (AI), wearable devices, and aging, emphasizing human–computer interaction implications. We analyzed 1,057 Web of Science articles (2005–2024) using science mapping and visualization to identify key contributors, collaboration networks, and research hotspots. Publication output has grown steadily, led by the United States and China, with a nine-year citation half-life indicating both foundational and emerging influence. The field forms an interdisciplinary ecosystem integrating wearable sensing, machine learning, and older adult care. Research hotspots focus on intelligent data processing for health management and chronic disease monitoring, alongside increasing attention to usability, accessibility, and user-centered design. However, theory-driven HCI work remains limited, particularly in addressing older adults’ cognitive, perceptual, and practical needs. These findings highlight links to innovation and health-related Sustainable Development Goals and suggest directions for more inclusive, theory-informed interaction design.

Purpose Channel conflict (CC) is a pervasive and challenging issue that managers frequently encounter. Researchers have been investigating CC for over fifty years, particularly relevant now with digitalization enabling firms to go direct-to-consumer (D2C). Given this influx of digital technologies, this study aims to systematically document the accumulated knowledge that aids managers in addressing these challenges while guiding researchers in future inquiries. Design/methodology/approach The study analyzes 489 research articles from the Scopus database. Through science mapping and performance analysis techniques, the study reveals the intellectual structure of CC research by examining its contributions and interrelationships. To enrich our findings, the study conducts in-depth interviews with industry experts. Findings The study identifies six key themes: multichannel conflict resulting from technological integration, pricing, partner dynamics, franchising relationships, supply chain coordination and consumer choice. Furthermore, it highlights gaps for future research based on these themes and the subsequent technology-driven disintermediation. Research limitations/implications The study demonstrates that offline-first and digital-first firms experience disintermediation and intermediation, which exacerbates CC. The results yield four configurations that elucidate the CC phenomenon stemming from these firms’ adoption of digital and offline channels. This technology-driven disintermediation, prompted by supplier encroachment, bypassing intermediaries, intensifies CC, leading us to propose future research questions. Originality/value This is a comprehensive review of CC literature with implications for business-to-business and channel managers. The findings are based on a multi-method analysis using bibliometrics analysis and in-depth interviews.

Purpose This state-of-the-art study assesses the knowledge structure of abusive leadership by presenting the emerging and future trends based on the aggregation of past studies. Abusive supervision is a negative leadership style that imparts negative consequences to organizations. Design/methodology/approach Employing bibliographic coupling and co-word analysis, this study evaluated 227 journal publications via science mapping analysis. Findings The current and emerging themes denote negative organizational outcomes of abusive leadership, while the future trends revolve around understanding abusive supervision in the workplace. Research limitations/implications The implications of this study are to guide scholars and practitioners in understanding the basis of abusive leadership and to make interventions to mitigate its outcome by developing preventive strategies and supportive organizational practices. Originality/value The originality of this review lies in its use of the science mapping technique to synthesize existing knowledge and highlight prospective research avenues on abusive leadership.

TikTok and young adults: A decade of research on mental health, cognition, sleep, and social outcomes (2016-2025).

The present study offers a bibliometric analysis of academic research concerning the enabling school structures. The study drew data from the Scopus database, identifying 298 publications spanning a 23-year period. In order to maintain analytical consistency and avoid distortions since 2024 was going on at the time of the research, 34 publications from that year were excluded, thereby narrowing the dataset to 264 items. The bibliometric mapping and data visualisation were performed using VOSviewer software. The publications were examined according to various criteria, including publication year, annual citation counts, publication type, country of origin, affiliated institutions, most-cited sources and authors, and keyword distribution. A salient finding of the study is the predominance of journal articles, which account for 220 entries, constituting approximately 83.3% of the total literature. With respect to national contributions, the United States is the leading nation, having published 101 scholarly works. Furthermore, the United States has distinguished itself through its robust international research collaborations. Co-citation analysis revealed Wayne K. Hoy as the most influential scholar in the field, with a total of 1,034 citations. At the institutional level, William & Mary University was the most prolific contributor, with a total of 12 publications. This study provides a comprehensive overview of the intellectual structure and publication trends related to enabling school structures. By highlighting key contributors, institutional affiliations, and evolving research patterns, it provides valuable insights for scholars and policymakers and is expected to guide future research in this domain.

Refuse-derived fuel (RDF) gasification presents a promising pathway for sustainable municipal solid waste (MSW) management and renewable energy generation, while aligning with the principles of the circular economy. Despite its growing relevance, structured reviews of RDF gasification remain limited. This study is novel in its integration of bibliometric science mapping with systematic literature review (SLR) methodologies, providing both a quantitative mapping of research trends and a qualitative synthesis of thematic clusters—an approach not previously applied to RDF gasification. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) protocol, a bibliometric analysis was conducted using VOSviewer to examine citation patterns by documents and author keyword co-occurrence. A total of 257 peer-reviewed articles published from 1986 to 2025 were retrieved from Scopus and Web of Science Core Collection databases. Next, the SLR then narrowed this to 195 articles published from 2015 to 2025 (10-year period). In addition, five relevant peer-reviewed articles were independently retrieved from Google Scholar and incorporated into the SLR dataset to enrich the qualitative analysis. The bibliometric analysis identified the most influential publications, authors, journals, and five thematic research clusters in RDF gasification. The systematic analysis revealed that RDF gasification is both economically viable and environmentally beneficial, though its commercial success depends on factors such as plant scale and consistent feedstock supply, among others. Key technical drivers include feedstock optimization, catalyst–temperature interactions, contaminants abatement, and process integration. Future research should prioritize multi-criteria optimization of RDF gasification systems, including the integration of techno-economic and life cycle assessments to inform policy and investment decisions. This review advances understanding of RDF gasification and supports progress toward the United Nations Sustainable Development Goals (SDGs) 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), 11 (Sustainable Cities and Communities), and 13 (Climate Action), offering a strategic foundation for guiding future research, policy, and investment in sustainable energy solutions.

Investor emotions are increasingly recognized as central determinants of financial decision-making, yet the evidence base remains dispersed across behavioral finance, psychology, information systems, and data-driven market analytics. This study maps the intellectual structure, thematic evolution, and emerging research frontiers of scholarship on investor emotions and financial decision-making through a bibliometric investigation of Scopus-indexed publications retrieved using the search string. Also Using performance analysis and science mapping, the study synthesizes annual scientific production, citation dynamics, and source distribution, complemented by co-citation, bibliographic coupling, and keyword co-occurrence networks generated via established bibliometric tools (e.g., VOSviewer and Bibliometrix/Biblioshiny). Results indicate a clear growth trajectory with modest output during 2010–2017, consolidation during 2018–2022, and a sharp expansion during 2023–2025, while average citations per year peak in earlier cohorts, reflecting citation-window effects. The co-citation structure reveals three foundational knowledge bases: (i) behavioral finance and investor psychology, (ii) affective decision science and emotion regulation perspectives, and (iii) digitally mediated sentiment and information effects. Bibliographic coupling identifies active research fronts anchored by highly influential synthesis work and extending into applied bias research and computational sentiment analytics. Keyword co-occurrence further demonstrates three dominant thematic clusters: behavioral finance and investment decision biases; psychological and survey/experimental emotion research; and data-driven sentiment analysis linked to information systems, big data, and electronic trading. Overall, the findings show a field transitioning toward interdisciplinary integration and scalable emotion measurement, with emerging frontiers in social media-driven investing, retail investor psychology, and emotion-aware AI. The study provides a structured roadmap for future theory development, methodological triangulation, and context-specific research in technology-mediated and high-volatility markets.

Purpose This study aims to develop a conceptual framework explaining how metaverse technologies can enhance employee engagement in hybrid workplaces, integrating embodied social presence (ESP) theory, self-determination theory and the newly introduced construct of sociotechnical fluidity. Design/methodology/approach This study undertakes a structured synthesis of scholarly discourse to explore the intersection of employee engagement and the metaverse in hybrid workplace settings. Leveraging science mapping techniques and scholarly contribution profiling, the analysis identifies thematic clusters, conceptual linkages and emerging research priorities. These insights inform the development of a theory-driven engagement model integrating key constructs and relational pathways. Findings The framework positions embodied social interaction – comprising co-presence, social presence and sociotechnical fluidity – and virtual psychological support – autonomy and relatedness – as sequential mediators between metaverse platform capabilities and employee engagement. Media literacy and organizational support act as moderators. Findings highlight that, in hybrid work contexts, users value effortless navigation, spontaneous collaboration and ambient sociability over purely immersive realism, reflecting the entanglement of social and technical elements. Practical implications These findings offer actionable insights for business leaders and IT decision-makers to develop HR and IT policies that ensure metaverse implementations foster ease of interaction, psychological support and sustained engagement in distributed teams. Originality/value By extending ESP theory with sociotechnical fluidity, this research advances understanding of dynamic, coordinated interactions in metaverse-enabled collaboration. The integration of scholarly synthesis with science mapping offers a novel, multilayered engagement model that provides a foundation for empirical validation and informs strategic adoption of metaverse technologies in hybrid workplace designs.

This article outlines the structure of the metaverse and identifies key themes related to consumer behaviour. It provides a comprehensive bibliometric analysis of consumer behaviour research in the metaverse, based on 143 Scopus articles, offering performance analysis and science mapping insights. Bibliographic coupling reveals five prominent research clusters. Employing the theory–context–characteristics–methods review framework, the study unveils 11 key themes in ‘What affects consumers?’, ‘How and why do they process?’ and ‘How do they respond?’ The study also reflects on how artificial intelligence is likely to impact consumer interaction in the metaverse.

Purpose The purpose of this study is to identify the current and emerging trend of sustainable performance in terms of bibliometric research conducted by authors from various fields. Design/methodology/approach This study provides an analysis in terms of scholarly literature published from 2011 to 2025 on Scopus by using data analytical tool of Perish or Publish and visual software tool, VosViewer. The science mapping includes analysis of citation, author, co-authorship, institution, journal, document type, keyword and title and abstract. Findings This study identifies the most influential countries, authors and institutions in the topic of sustainable performance as well as the themes studied in the relevant disciplines. This paper concludes with the emerging issues and future research agenda in the area of sustainable performance. Research limitations/implications The study concentrates on bibliometric analysis publications on Scopus only while the VOSviewer focuses on quantitative measures. This limitation overlooked other important elements such as theoretical aspects and SDG alignment. Originality/value The originality of this paper lies within its data and mapping. The difference from previous bibliometric analysis is its analysis is not based on specific angle but covers multiple bibliometric papers in multidisciplinary studies.

Background: Exercise is widely recognized as a supplementary or alternative treatment for depression, yet comprehensive scientific mapping in this area remains limited. This study aimed to explore the current research landscape, key findings, and future trends related to exercise and depression across all age groups. Methods: We used the Web of Science database to collect articles on exercise and depression from 2002 to 2022. Eligible data were extracted and analyzed using R Studio with the Bibliometrix package to generate descriptive summaries, annual trends, country and institution outputs, journal impact, and research hotspots. Results: The majority of publications on the subject of exercise and depression originate from the United States and China, with 258 and 161 publications, respectively. Notably, Chongqing Medical University and Harvard University stand out as leading institutions in this field, each contributing 48 publications. The Journal of Affective Disorders, recognized for its high impact and Q1 status, serves as a foundational resource in the exploration of exercise and depression. The thematic map and topic trend analysis highlight aerobic exercise and tai chi as promising exercises, potentially targeting the hippocampus and BDNF in the context of depression. Furthermore, it is noteworthy that PHQ-9 and HADS are frequently utilized measurements in ongoing research endeavors. Conclusion: This study provides a summary of the field about exercise and depression, highlighting emerging trends, sources, prominent institutions, and key topics using bibliometric analysis and network visualization. Our findings offer valuable insights that can guide future research directions and inform clinical practice.

Knowledge mapping of nursing research structures in peripheral endovascular interventions: A bibliometric analysis and scientific mapping.

Four decades of Canine Parvovirus research: A global bibliometric and science mapping study.

Abstract This study investigates the performance and science mapping of ICT adoption in SMEs through a bibliometric analysis of Scopus-indexed publications. We examine how the ICT-in-SMEs literature evolved over 1997–2024 and where accounting and sustainability themes are situated within that corpus. Proxies are operationalized via author and index keywords, co-word structures, and controlled overlays linking ERP, e-invoicing, and cloud to sustainability-accounting mechanisms (measurement, reporting, assurance). The dataset comprised 450 records (1997–2024), of which 442 English-language documents were analyzed; computation and visualization used Biblioshiny (bibliometrix, R) and VOSviewer. We trace the field’s evolution—particularly how ICT underpins accounting for sustainability—identifying key intellectual structures, turning points, and emerging themes. Results show Alshamaila et al. (J Enterp Inf Manag 26(3):250–275, 2013. https://doi.org/10.1108/17410391311325225 ) as the most-cited document (577 citations, Journal of Enterprise Information Management ; as of 28 May 2024); the same journal records the highest local H-index; Rogers and Venkatesh are prominent cited authors; “information and communication technologies” is the most frequent topic; and the United Kingdom emerges as a collaboration hub. Beyond mapping, we interpret platform-centric themes (ERP, e-invoicing/e-commerce, cloud) as digital accounting infrastructures that generate auditable sustainability information (e.g., cost/energy/material accounts, supplier compliance, payment traceability). We integrate thematic clusters with TOE/DOI mechanisms to explain antecedents of these data-generating routines in SMEs. The findings guide future research and adoption strategies, advancing SDG-oriented accountability through efficient, effective digital accounting records.

This study provides a comprehensive analysis of KM research, highlighting emerging trends and critical gaps. It offers practical insights for researchers and policymakers to guide KM strategy development in HEIs. This study conducts a comprehensive bibliometric analysis of knowledge management (KM) research in Scopus-indexed publications from 1998 to 2024, with a particular focus on developments within higher education institutions (HEIs). The research aims to trace the evolution of KM scholarship, identify influential contributors, and uncover emerging thematic trends. A total of 696 articles were analyzed using both quantitative and qualitative bibliometric techniques, including publication and citation analysis, co-authorship networks, and keyword co-occurrence. Performance analysis assessed scholarly output and impact, while science mapping facilitated by VOS-viewer visualized intellectual structures and research clusters. The findings reveal a significant growth in KM research, peaking in 2023 with 72 publications. Northwestern Polytechnical University stood out in citation impact, and the United Kingdom was identified as the most prolific contributor. The journal Computers and Education led in output, and the most cited article addressed KM readiness in HEIs. Notably, artificial intelligence (AI) and digital transformation emerged as promising directions for future research. This study provides valuable insights into the development of KM in the higher education sector and offers strategic implications for researchers, academics, and policymakers aiming to enhance institutional innovation and competitiveness.

Purpose: The rapid development of Generative AI (GenAI), particularly following the launch of ChatGPT in 2022, has triggered significant disruption in global higher education. In accounting education, this technology presents complex challenges regarding academic integrity and information accuracy, while also offering significant opportunities to personalize learning and enhance operational efficiency. This study aims to conduct a bibliometric analysis to visualize the evolution of research, identify key contributors, and map critical themes in GenAI and accounting education from 2022 to 2025. Research Design and Methodology: This study uses a bibliometric approach to integrate performance analysis and science mapping. Fifty-eight Scopus-indexed documents were analyzed via VOSviewer and Bibliometrix. Key visualization techniques, including co-authorship, co-citation, keyword co-occurrence, and topic modeling, were applied to identify and map dominant research themes. Findings and Discussion: A publication surge with an 87.58% annual growth rate. Southeast Asian nations (Indonesia, Malaysia, Vietnam) have emerged as major contributors, rivaling Western output on GenAI integration in accounting. Thematic analysis identifies a shift in focus from technical aspects to student competencies such as critical thinking, AI literacy, and adaptive assessment. Identifying the Journal of Accounting Education and Issues in Accounting Education as core references bridging pedagogy and technology, this study provides a roadmap for curricular reform in the Industry 4.0 era. Implications: GenAI integration forces a redefinition of graduate competencies amidst rapid literary expansion. The focus is shifting from procedural mastery to educational psychology, ethics, and human-machine collaboration to prevent the erosion of foundational skills. Ultimately, successful transformation depends on curriculum developers embedding digital literacy to maintain graduate relevance in the Society 5.0 landscape.

This article maps research trends, key contributors, and thematic structures of the 4Cs—communication, collaboration, critical thinking, and creativity—within Technical and Vocational Education and Training (TVET), while synthesizing experimental efforts to enhance these skills. It addresses a documented gap by combining bibliometric performance analysis and science mapping (RQ1–RQ6) with a systematic review of intervention studies (RQ7). A total of 3,246 documents were obtained, of which 1,655 documents were analyzed bibliometrically, and 32 documents were analyzed through a systematic literature review after screening and applying inclusion/exclusion criteria. The 4Cs–TVET research shows a continuous surge with “communication skills” as the driving theme and creativity relatively unexplored, indicating a thematic focus that still leans toward social competencies. In general, 4Cs–TVET research involves many researchers from various institutions and countries, showing that this research has become a global focus. However, the findings indicate that participation is concentrated in developed and middle-income countries, whereas least developed countries (LDCs) remain underrepresented in this research area. Experimental efforts to improve the 4Cs are spread across five approaches (technology/online, collaborative-interprofessional, gamification, project-based/active learning, simulation), but 56.25% target only one skill—collaboration being the most dominant—and only 6.25% integrate all 4Cs, indicating the need for more holistic intervention design.

Designing for diversity: science mapping of Muslim-friendly tourism experience and future trends

This study presents a systematic bibliometric review of scholarly research on sustainable development from Islamic perspectives published between 2005 and 2024. Using bibliometric techniques and science mapping approaches, the study analyzes publication trends, thematic evolution, collaboration patterns, and the intellectual structure of the field. The findings reveal a steady growth of publications, with sustainable development occupying a central conceptual position closely linked to Islamic finance, banking, and economic growth. Over time, the literature has shifted from fragmented structural and sectoral discussions toward more integrated and impact-oriented themes, particularly Islamic social finance instruments such as zakat, waqf, and Islamic microfinance, alongside emerging concerns related to fintech, poverty alleviation, climate change, and Islamic education. Collaboration analyses indicate that research production is regionally concentrated, with Southeast Asia (especially Malaysia and Indonesia) serving as the primary global hub, while cross-regional collaboration remains uneven. The study highlights both the growing maturity and existing gaps in the field, underscoring the need for greater thematic diversification, interdisciplinary integration, and broader international collaboration to advance Islamic contributions to global sustainable development discourse.