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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anthony Alaegor, 2025. "The Role of Artificial Intelligence in Enhancing Business Efficiency and Competitiveness of Smes in Aba, Abia State, Nigeria," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 10(10), pages 2165-2176, October.
    2. 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, Sciendo, vol. 19(1), pages 3936-3949.

    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. Erika GRABOCKA & Ervisa NDOKA, 2025. "AI-driven innovation within the ICT sector," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 9(1), pages 77-97, January.
    2. Deng, Shichang & Zhang, Jingjing & Lin, Zhengnan & Li, Xiangqian, 2024. "Service staff makes me nervous: Exploring the impact of insecure attachment on AI service preference," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Simón, Cristina & Revilla, Elena & Jesús Sáenz, Maria, 2024. "Integrating AI in organizations for value creation through Human-AI teaming: A dynamic-capabilities approach," Journal of Business Research, Elsevier, vol. 182(C).
    4. Denis Dennehy & Anastasia Griva & Nancy Pouloudi & Yogesh K. Dwivedi & Matti Mäntymäki & Ilias O. Pappas, 2023. "Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI," Information Systems Frontiers, Springer, vol. 25(1), pages 1-7, February.
    5. Hans Fredrik Hansen & Elise Lillesund & Patrick Mikalef & Νajwa Altwaijry, 2024. "Understanding Artificial Intelligence Diffusion through an AI Capability Maturity Model," Information Systems Frontiers, Springer, vol. 26(6), pages 2147-2163, December.
    6. 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).
    7. Ayala, Néstor Fabián & Rodrigues da Silva, Jassen & Cannarozzo Tinoco, Maria Auxiliadora & Saccani, Nicola & Frank, Alejandro G., 2025. "Artificial Intelligence capabilities in Digital Servitization: Identifying digital opportunities for different service types," International Journal of Production Economics, Elsevier, vol. 284(C).
    8. Roberto Moro-Visconti & Salvador Cruz Rambaud & Joaquín López Pascual, 2023. "Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    9. 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).
    10. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    11. Woszczyna Karolina & Mania Karolina, 2023. "The European map of artificial intelligence development policies: a comparative analysis," International Journal of Contemporary Management, Sciendo, vol. 59(3), pages 78-87, September.
    12. 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.
    13. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
    14. 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.
    15. Jose Ramon Saura & Rita Bužinskienė, 2025. "Behavioral economics, artificial intelligence and entrepreneurship: an updated framework for management," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-33, December.
    16. Weidong Li & Yalin Qin & Changjie Chen & Meng Wang, 2025. "An investigation into personal data sensitivity in the Internet of Everything—insights from China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    17. Maslinawati Mohamad & Fatmawati Jusoh & Noor Faiza M. Ja'afar & Rabiatul Alawiyah Zainal Abidin, 2024. "From Threat to Shield: How Fintech Empowers Financial Institutions in Combating Fraud," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(14), pages 346-354, December.
    18. Chmielarz Witold & Sołtysik-Piorunkiewicz Anna, 2024. "Changes in IT Project Management Awareness According to Business Process Management Experts’ Opinion: Comparative Study 2017-2023," Economics and Culture, Sciendo, vol. 21(2), pages 44-58.
    19. Byung-Jik Kim & Julak Lee, 2024. "The mental health implications of artificial intelligence adoption: the crucial role of self-efficacy," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    20. Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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.