IDEAS home Printed from https://ideas.repec.org/a/gam/jadmsc/v14y2024i12p316-d1531472.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-3387/14/12/316/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-3387/14/12/316/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kashyap, Abhishek & Shukla, Om Ji & Kumar, Rupesh & Alam, Md Mahmudul & Oberoi, Sarbjit Singh, 2025. "Online retailing and the metaverse: Addressing stakeholder impediments in e-commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
    2. Borba, Rafael Lucas & de Paula Ferreira, Iuri Emmanuel & Bertucci Ramos, Paulo Henrique, 2024. "Addressing discriminatory bias in artificial intelligence systems operated by companies: An analysis of end-user perspectives," Technovation, Elsevier, vol. 138(C).
    3. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    4. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    5. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    6. Weidong Li & Yalin Qin & Changjie Chen & Meng Wang, 2025. "An investigation into personal data sensitivity in the Internet of Everything—insights from China," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    7. Byung-Jik Kim & Julak Lee, 2024. "The mental health implications of artificial intelligence adoption: the crucial role of self-efficacy," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    8. Robertson, Jeandri & Botha, Elsamari & Oosthuizen, Kim & Montecchi, Matteo, 2025. "Managing change when integrating artificial intelligence (AI) into the retail value chain: The AI implementation compass," Journal of Business Research, Elsevier, vol. 189(C).
    9. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
    10. Johnny Chan & Gabrielle Peko & David Sundaram & Valeria Sadovykh, 2025. "Application and Adoption of Emerging Technologies: From AI to Metaverse," Information Systems Frontiers, Springer, vol. 27(2), pages 405-408, April.
    11. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    12. D'Al, Francesco & Santarelli, Enrico & Vivarelli, Marco, 2024. "The KSTE+I approach and the advent of AI technologies: evidence from the European regions," GLO Discussion Paper Series 1473, Global Labor Organization (GLO).
    13. Jun Cui, 2025. "AI-Driven Digital Transformation and Firm Performance in Chinese Industrial Enterprises: Mediating Role of Green Digital Innovation and Moderating Effects of Human-AI Collaboration," Papers 2505.11558, arXiv.org.
    14. Radka Nacheva & Maciej Czaplewski, 2024. "Artificial Intelligence In Helping People With Disabilities: Opportunities And Challenges," HR and Technologies, Creative Space Association, issue 1, pages 102-124.
    15. Fawwaz Tawfiq Awamleh & Ala Nihad Bustami, 2022. "Examine the Mediating Role of the Information Technology Capabilities on the Relationship Between Artificial Intelligence and Competitive Advantage During the COVID-19 Pandemic," SAGE Open, , vol. 12(3), pages 21582440221, August.
    16. Darko B. Vuković & Senanu Dekpo-Adza & Stefana Matović, 2025. "AI integration in financial services: a systematic review of trends and regulatory challenges," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-29, December.
    17. Xueyun Rong & Zhongkai Yang & Yutao Sun, 2024. "Inventors’ brokerages dynamic and exploratory innovation: the moderating role of knowledge diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(5), pages 2533-2558, May.
    18. Zhou, Qiwei & Chen, Keyu & Cheng, Shuang, 2024. "Bringing employee learning to AI stress research: A moderated mediation model," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    19. Anshul Ujlayan & Sanjay Bhattacharya & Sonakshi, 2023. "A Machine Learning-Based AI Framework to Optimize the Recruitment Screening Process," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 38-53, December.
    20. Mustak, Mekhail & Salminen, Joni & Mäntymäki, Matti & Rahman, Arafat & Dwivedi, Yogesh K., 2023. "Deepfakes: Deceptions, mitigations, and opportunities," Journal of Business Research, Elsevier, vol. 154(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jadmsc:v:14:y:2024:i:12:p:316-:d:1531472. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.