Forthcoming Articles

International Journal of Bibliometrics in Business and Management

International Journal of Bibliometrics in Business and Management (IJBBM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Bibliometrics in Business and Management (2 papers in press)

Regular Issues

  • Emerging Trends of Artificial Intelligence in Management Research: A Bibliometric Analysis   Order a copy of this article
    by Nidhin K. P.  
    Abstract: This study investigates the evolving trajectory of Artificial Intelligence within management research by conducting a bibliometric analysis of 2,569 journal articles published between 1989 and 2024, sourced from the Web of Science database. Findings reveal a marked rise in Artificial intelligence across diverse management fields. The analysis highlights the pivotal role of Generative AI as an emerging paradigm that reshapes traditional managerial assumptions and research priorities. Despite this growth, persistent global disparities in research contributions and scientific productivity persist, particularly in the South American and African regions, indicating inequalities in knowledge production and collaboration. The thematic evolution indicates a shift from technology-focused adoption studies to more complex sociotechnical questions about organizational transformation, workforce dynamics, and decision making. By highlighting underexplored and emerging themes, the study provides direction for future research.
    Keywords: AI; Artificial Intelligence; Management; Bibliometric Analysis.
    DOI: 10.1504/IJBBM.2026.10077649
     
  • Mapping Technostress and Digital Burnout through the TCCM Lens: A Structured Review of Employee Well-being and Performance Studies   Order a copy of this article
    by Suryanarayana Murthy Yamijala, Sairoop Allena, A. Narasimha Rao 
    Abstract: This paper critically reviews research on technostress and digital burnout, focusing on their implications for employee wellbeing and productivity. Using bibliometric techniques (Biblioshiny and VOSviewer), it analyses Scopusindexed studies from 2000 to 2025 to map publication trends, intellectual structures, and collaboration networks. The findings are integrated with the TCCM framework to provide deeper insights beyond descriptive analysis. Results show that the literature is largely grounded in the technostress model, the Job DemandsResources model, and the Conservation of Resources theory, with limited integration of emerging perspectives, such as digital wellbeing and resilience. Empirical studies are concentrated in ITintensive sectors and developed regions, while South Asia remains underexplored. Although key constructs, such as technostress creators and emotional exhaustion, are well established, reliance on crosssectional designs limits understanding of dynamic processes. The study identifies gaps in theory, context, and methodology, and proposes directions for future research to promote healthier digital workplaces.
    Keywords: Technostress; Digital Burnout; Employee Well-being; Job Performance; Bibliometric Analysis; Information Technology Sector.
    DOI: 10.1504/IJBBM.2025.10078719
     

 

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