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Artificial Intelligence and Its Role in Shaping Organizational Work Practices and Culture

Author

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  • Obrain Tinashe Murire

    (Administration and Information Management Department, Faculty of Management and Public Administration Sciences, Walter Sisulu University, Butterworth 4960, South Africa)

Abstract

The advent of Artificial Intelligence (AI) is profoundly transforming organizational landscapes, significantly influencing work practices and triggering cultural shifts. This study explores the role of AI in reshaping organizational work practices and examines the resulting cultural transformation. Through a systematic literature review, this study synthesizes existing research to provide a comprehensive understanding of AI’s impact on organizational landscapes. A systematic literature review was conducted, analyzing peer-reviewed articles, books, and conference papers to identify key themes related to AI-driven changes in work practices, including automation, decision making, and employee roles. It also explores how these changes influence organizational culture, particularly shifts toward innovation, agility, and continuous learning, alongside challenges like resistance to change and ethical concerns. While AI adoption promises benefits such as enhanced efficiency, productivity, and innovation, it also presents significant challenges related to cultural alignment, employee resistance, ethical concerns, and leadership communication. Effective leadership, transparent communication, and investments in skills development emerge as pivotal strategies for overcoming these obstacles and ensuring successful AI implementation. The findings offer insights into the complex interplay between AI adoption and cultural transformation, highlighting gaps in the current research and suggesting directions for future studies. This study serves as a valuable resource for academics and practitioners seeking to understand the broader implications of AI on organizational structures and culture.

Suggested Citation

  • Obrain Tinashe Murire, 2024. "Artificial Intelligence and Its Role in Shaping Organizational Work Practices and Culture," Administrative Sciences, MDPI, vol. 14(12), pages 1-16, November.
    • Handle: RePEc:gam:jadmsc:v:14:y:2024:i:12:p:316-:d:1531472
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    References listed on IDEAS

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    1. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    2. Ida Merete Enholm & Emmanouil Papagiannidis & Patrick Mikalef & John Krogstie, 2022. "Artificial Intelligence and Business Value: a Literature Review," Information Systems Frontiers, Springer, vol. 24(5), pages 1709-1734, October.
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    1. repec:bjf:journl:v:10:y:2025:i:10:p:2165-2176 is not listed on IDEAS
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    3. Gheţie Romina-Medea & Cuc Lavinia-Denisia & Rad Dana & Pantea Mioara-Florina & Szentesi Silviu-Gabriel, 2025. "Can AI Redefine Best Practices in Human Resources?," Proceedings of the International Conference on Business Excellence, Paradigm, vol. 19(1), pages 3936-3949.
    4. Alshibani, Safiya & Singhal, Abhishek Bhushan & Gupta, Bhumika & Papa, Armando & Del Giudice, Manlio, 2026. "Prioritizing interoperable AI-driven solutions for sustainable circular economy in the public sector," Technological Forecasting and Social Change, Elsevier, vol. 224(C).

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