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Analysis of institutional authors

Saura, Jose RamonCorresponding Author

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November 18, 2025
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Generative artificial intelligence use in the workplace: implications for management practice

Publicated to: Review of Managerial Science. - 2025-11-08 (), DOI: 10.1007/s11846-025-00949-z

Authors:

Hernández-Tamurejo, A; Buzinskiene, R; Barbosa, B; Miceikiene, A; Saura, JR
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Affiliations

Rey Juan Carlos Univ, Fac Econ & Business Sci, Madrid, Spain - Author
Univ Porto, Sch Econ & Management, CEF UP, INESC TEC, Porto, Portugal - Author
Univ Porto, Sch Econ & Management, LIAAD, INESC TEC, Porto, Portugal - Author
Vytautas Magnus Univ Agr Acad, Akademija, Lithuania - Author
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Abstract

Generative artificial intelligence (GenAI) promises substantial productivity gains for organisations, yet unresolved questions about data management and privacy continue to shape managers' and employees' confidence. This study examines workplace adoption of GenAI and shows how trust, conditioned by perceptions of data-management integrity, information transparency, and privacy risk, influences acceptance. This mixed-method study tests, using a survey-based structural equation model plus interviews focused on managerial practices among daily GenAI practitioners, two core insights: (i) trust is the strongest predictor of intention to use GenAI, and (ii) trust depends chiefly on manager's and employees' belief that organisational data are handled reliably and objectively through management routines. Perceptions of transparency or privacy risk exert no direct influence on either trust or usage. Building on these results, the study delineates four managerial domains: data-management process, information transparency, privacy risk, and trust, alongside twenty future research questions designed to understand how GenAI is linked to managerial practices. For practice, the findings recommend monitoring, calibrated disclosure, and adaptive privacy protocols as concrete managerial levers to strengthen GenAI acceptance. The evidence highlights trustworthy data governance, not abstract explainability, as the foundation of sustainable GenAI adoption. The study also provides a roadmap of actionable management practices to guide its implementation in modern workplaces.
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Keywords

AcceptanceAiAi data managementAi transparencyAi trustArtificial intelligenceChallengesGenerative aiImpactM1M10M12M15Management practicePrivacyRiskTechnologyTransparencyTrustVariables

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Review of Managerial Science due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 16/420, thus managing to position itself as a Q1 (Primer Cuartil), in the category Management. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-10:

  • WoS: 1
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-10:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 34 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

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    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: Lithuania; Portugal.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author () and Last Author (Saura Lacárcel, José Ramón).

    the author responsible for correspondence tasks has been Saura Lacárcel, José Ramón.

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