Forthcoming and Online First Articles

Journal of Business and Management

Journal of Business and Management (JBM)

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 Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

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Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

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(One paper in press)

Regular Issues

  •   Free full-text access Open AccessNavigating the digital frontier: thriving in remote work through AI and human connection
    ( Free Full-text Access ) CC-BY-NC-ND
    by Lu Yu, Xiaoxia Zhu, Hong Ren 
    Abstract: This study explores how integrating artificial intelligence (AI) fosters thriving in remote work by combining AI adoption with organisational understanding and social connections. Utilising a quantitative survey of remote workers from three large US universities, we tested a moderated mediation model examining AI adoption, AI-assisted learning, social ties, organisational understanding, and thriving at work. Findings indicate that while AI adoption promotes continuous learning, genuine thriving depends on fulfilling competence, autonomy, and relatedness needs. Organisational understanding and robust social ties are critical for AI to drive thriving among remote workers. This research contributes to the AI in remote work literature by highlighting organisational and social factors as key conditions for AIs positive impact on employee thriving, aligning with self-determination theory. Organisations should support AI with strong social connections and comprehensive role understanding to enhance employee well-being and growth.
    Keywords: AI adoption; AI learning; thriving at work; remote worker; human connection.

 

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