IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v217y2025ics0040162525002148.html
   My bibliography  Save this article

Artificial intelligence in knowledge management: Identifying and addressing the key implementation challenges

Author

Listed:
  • Rezaei, Mojtaba

Abstract

In today's digital landscape, Knowledge Management (KM) is crucial for organisational competitiveness. Artificial Intelligence (AI) offers transformative potential for KM practices, yet its integration presents multifaceted challenges. This study addresses significant gaps in the literature by identifying and prioritising critical challenges associated with AI integration in KM.

Suggested Citation

  • Rezaei, Mojtaba, 2025. "Artificial intelligence in knowledge management: Identifying and addressing the key implementation challenges," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
  • Handle: RePEc:eee:tefoso:v:217:y:2025:i:c:s0040162525002148
    DOI: 10.1016/j.techfore.2025.124183
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162525002148
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2025.124183?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Muhammad Asrar-ul-Haq & Sadia Anwar, 2016. "A systematic review of knowledge management and knowledge sharing: Trends, issues, and challenges," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1127744-112, December.
    2. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    3. Grzegorz Mazurek & Karolina Małagocka, 2019. "Perception of privacy and data protection in the context of the development of artificial intelligence," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 344-364, October.
    4. 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).
    5. Flostrand, Andrew & Pitt, Leyland & Bridson, Shannon, 2020. "The Delphi technique in forecasting– A 42-year bibliographic analysis (1975–2017)," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    6. Mojtaba Rezaei & Cemil Gündüz & Nizar Ghamgui & Marco Pironti & Tomas Kliestik, 2024. "Navigating change: examining the influence of COVID-19 on knowledge-sharing dynamics in family firms within the restaurant and fast-food industry," Post-Print hal-04919045, HAL.
    7. Borges, Aline F.S. & Laurindo, Fernando J.B. & Spínola, Mauro M. & Gonçalves, Rodrigo F. & Mattos, Claudia A., 2021. "The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions," International Journal of Information Management, Elsevier, vol. 57(C).
    8. William Black & Barry J. Babin, 2019. "Multivariate Data Analysis: Its Approach, Evolution, and Impact," Springer Books, in: Barry J. Babin & Marko Sarstedt (ed.), The Great Facilitator, pages 121-130, Springer.
    9. Lei Zhu & Izak Benbasat & Zhenhui Jiang, 2010. "Let's Shop Online Together: An Empirical Investigation of Collaborative Online Shopping Support," Information Systems Research, INFORMS, vol. 21(4), pages 872-891, December.
    10. Leone, Daniele & Schiavone, Francesco & Appio, Francesco Paolo & Chiao, Benjamin, 2021. "How does artificial intelligence enable and enhance value co-creation in industrial markets? An exploratory case study in the healthcare ecosystem," Journal of Business Research, Elsevier, vol. 129(C), pages 849-859.
    11. Nizar Ghamgui & Mojtaba Rezaei & Ikhlas Hentati & Nihel Louati & Mohamed Karim Kefi, 2025. "The role of business planning for internationalisation: Navigating digital transformation in an emerging economy," Post-Print hal-05123393, HAL.
    12. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    13. Robinson, Stephen Cory, 2020. "Trust, transparency, and openness: How inclusion of cultural values shapes Nordic national public policy strategies for artificial intelligence (AI)," Technology in Society, Elsevier, vol. 63(C).
    14. Viswanath Venkatesh, 2022. "Adoption and use of AI tools: a research agenda grounded in UTAUT," Annals of Operations Research, Springer, vol. 308(1), pages 641-652, January.
    15. de Loë, Rob C. & Melnychuk, Natalya & Murray, Dan & Plummer, Ryan, 2016. "Advancing the State of Policy Delphi Practice: A Systematic Review Evaluating Methodological Evolution, Innovation, and Opportunities," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 78-88.
    16. Jarrahi, Mohammad Hossein & Askay, David & Eshraghi, Ali & Smith, Preston, 2023. "Artificial intelligence and knowledge management: A partnership between human and AI," Business Horizons, Elsevier, vol. 66(1), pages 87-99.
    17. Ghasemaghaei, Maryam & Calic, Goran, 2020. "Assessing the impact of big data on firm innovation performance: Big data is not always better data," Journal of Business Research, Elsevier, vol. 108(C), pages 147-162.
    18. De Bruyn, Arnaud & Viswanathan, Vijay & Beh, Yean Shan & Brock, Jürgen Kai-Uwe & von Wangenheim, Florian, 2020. "Artificial Intelligence and Marketing: Pitfalls and Opportunities," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 91-105.
    19. Gauri, Dinesh K. & Jindal, Rupinder P. & Ratchford, Brian & Fox, Edward & Bhatnagar, Amit & Pandey, Aashish & Navallo, Jonathan R. & Fogarty, John & Carr, Stephen & Howerton, Eric, 2021. "Evolution of retail formats: Past, present, and future," Journal of Retailing, Elsevier, vol. 97(1), pages 42-61.
    20. Lene Pettersen, 2019. "Why Artificial Intelligence Will Not Outsmart Complex Knowledge Work," Work, Employment & Society, British Sociological Association, vol. 33(6), pages 1058-1067, December.
    21. Surajit Bag & Shivam Gupta & Ajay Kumar & Uthayasankar Sivarajah, 2021. "An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance," Post-Print hal-03188195, HAL.
    22. Venkatraman, N. & Henderson, John C. & Oldach, Scott, 1993. "Continuous strategic alignment: Exploiting information technology capabilities for competitive success," European Management Journal, Elsevier, vol. 11(2), pages 139-149, June.
    23. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    24. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation," NBER Working Papers 24449, National Bureau of Economic Research, Inc.
    25. Amirhossein Dehkhodaei & Bahar Amiri & Hasan Farsijani & Abbas Raad, 2023. "Barriers to big data analytics (BDA) implementation in manufacturing supply chains," Journal of Management Analytics, Taylor & Francis Journals, vol. 10(1), pages 191-222, January.
    26. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 115-146, National Bureau of Economic Research, Inc.
    27. Rezaei, Mojtaba & Jafari-Sadeghi, Vahid & Cao, Dongmei & Mahdiraji, Hannan Amoozad, 2021. "Key indicators of ethical challenges in digital healthcare: A combined Delphi exploration and confirmative factor analysis approach with evidence from Khorasan province in Iran," Technological Forecasting and Social Change, Elsevier, vol. 167(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. Mariani, Marcello & Dwivedi, Yogesh K., 2024. "Generative artificial intelligence in innovation management: A preview of future research developments," Journal of Business Research, Elsevier, vol. 175(C).
    2. Brendan James Keegan & Denis Dennehy & Peter Naudé, 2024. "Implementing Artificial Intelligence in Traditional B2B Marketing Practices: An Activity Theory Perspective," Information Systems Frontiers, Springer, vol. 26(3), pages 1025-1039, June.
    3. Huang, Ming-Hui & Rust, Roland T., 2022. "A Framework for Collaborative Artificial Intelligence in Marketing," Journal of Retailing, Elsevier, vol. 98(2), pages 209-223.
    4. Robertson, Jeandri & Ferreira, Caitlin & Botha, Elsamari & Oosthuizen, Kim, 2024. "Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction," Business Horizons, Elsevier, vol. 67(5), pages 499-510.
    5. Alexandra Theben & Nia Plamenova & Ana Freire, 2025. "The “new currency of the future”: a review of literature on the skills needs of the workforce in times of accelerated digitalisation," Management Review Quarterly, Springer, vol. 75(1), pages 495-526, February.
    6. Wu, Qinqin & Zhuang, Qinqin & Liu, Yitong & Han, Longyan, 2024. "Technology shock of ChatGPT, social attention and firm value: Evidence from China," Technology in Society, Elsevier, vol. 79(C).
    7. Ilaria Tutore & Adele Parmentola & Michele Costagliola di Fiore & Francesco Calza, 2024. "A conceptual model of artificial intelligence effects on circular economy actions," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4772-4782, September.
    8. Sudatta Kar & Arpan Kumar Kar & Manmohan Prasad Gupta, 2021. "Modeling Drivers and Barriers of Artificial Intelligence Adoption: Insights from a Strategic Management Perspective," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 217-238, October.
    9. Abou-Foul, Mohamad & Ruiz-Alba, Jose L. & López-Tenorio, Pablo J., 2023. "The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective," Journal of Business Research, Elsevier, vol. 157(C).
    10. 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.
    11. Drago, Carlo & Costantiello, Alberto & Savorgnan, Marco & Leogrande, Angelo, 2025. "Driving AI Adoption in the EU: A Quantitative Analysis of Macroeconomic Influences," MPRA Paper 124973, University Library of Munich, Germany.
    12. Wu, Min & Tsai, Nien En & Koh, Le Yi & Yuen, Kum Fai, 2025. "Maritime AI socialisation: Exploring the impact of digital enablers on human-AI collaboration and service and process innovation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
    13. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
    14. 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.
    15. Johnson, Prince Chacko & Laurell, Christofer & Ots, Mart & Sandström, Christian, 2022. "Digital innovation and the effects of artificial intelligence on firms’ research and development – Automation or augmentation, exploration or exploitation?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    16. Janarthanan Balakrishnan & Yogesh K. Dwivedi & Laurie Hughes & Frederic Boy, 2024. "Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model," Information Systems Frontiers, Springer, vol. 26(3), pages 921-942, June.
    17. Ramaul, Laavanya & Ritala, Paavo & Ruokonen, Mika, 2024. "Creational and conversational AI affordances: How the new breed of chatbots is revolutionizing knowledge industries," Business Horizons, Elsevier, vol. 67(5), pages 615-627.
    18. Dominic Chalmers & Niall G. MacKenzie & Sara Carter, 2021. "Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1028-1053, September.
    19. Yuming Zhai & Lixin Zhang & Mingchuan Yu, 2024. "AI in Human Resource Management: Literature Review and Research Implications," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 16227-16263, December.
    20. Xie, Yibo & Ma, Wenbin & Ma, Yichuan & Ren, Zhouqi & Tong, Zelin & Wang, Yihuan, 2023. "A counterfactual thinking perspective of moral licensing effect in machine-driven communication: An example of natural language processing chatbot developed based on WeChat API," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

    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:eee:tefoso:v:217:y:2025:i:c:s0040162525002148. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.