IDEAS home Printed from https://ideas.repec.org/a/abw/journl/y2026id1243.html

The Role of Artificial Intelligence in Knowledge Management: Strategic Implications and Mechanism Transformation

Author

Listed:
  • P. D. Serezhin

Abstract

The adoption of artificial intelligence (AI) has affected all areas of activity in modern companies, including knowledge management systems. The aim of this article is to identify the opportunities for implementing and applying AI in the key stages of knowledge management, namely knowledge creation, storage, processing, and utilization in the development of innovations. In addition, the article proposes a mechanism for transforming knowledge management systems through the integration of AI technologies. The process of developing knowledge-based innovations is inherently multifactorial, as such innovations emerge from the functioning of the knowledge management system and the organization՚s innovation process. Moreover, organizations differ in their levels of maturity with respect to both knowledge management systems and the organization’s innovation process. For this reason, the proposed mechanism for generating knowledge-based innovations accounts for the heterogeneity of potential users and is designed to be adaptable for use by different organizations. The article demonstrates the construction of an applied mechanism for fostering knowledge-based innovations.

Suggested Citation

  • P. D. Serezhin, 2026. "The Role of Artificial Intelligence in Knowledge Management: Strategic Implications and Mechanism Transformation," Strategic decisions and risk management, Real Economy Publishing House, vol. 16(4).
    • Handle: RePEc:abw:journl:y:2026:id:1243
    DOI: 10.17747/2618-947X-2025-4-395-403
    as

    Download full text from publisher

    File URL: https://www.jsdrm.ru/jour/article/viewFile/1243/1189
    Download Restriction: no
    File URL: https://www.jsdrm.ru/jour/article/viewFile/1243/1198
    Download Restriction: no
    File URL: https://libkey.io/10.17747/2618-947X-2025-4-395-403?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
    ---><---

    References listed on IDEAS

    as
    1. Canhoto, Ana Isabel & Clear, Fintan, 2020. "Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential," Business Horizons, Elsevier, vol. 63(2), pages 183-193.
    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. 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.
    2. Paschen, Jeannette & Wilson, Matthew & Ferreira, João J., 2020. "Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel," Business Horizons, Elsevier, vol. 63(3), pages 403-414.
    3. Kinkel, Steffen & Baumgartner, Marco & Cherubini, Enrica, 2022. "Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies," Technovation, Elsevier, vol. 110(C).
    4. Berk Kaan Kuguoglu & Haiko van der Voort & Marijn Janssen, 2021. "The Giant Leap for Smart Cities: Scaling Up Smart City Artificial Intelligence of Things (AIoT) Initiatives," Sustainability, MDPI, vol. 13(21), pages 1-16, November.
    5. Bavaresco, Rodrigo Simon & Nesi, Luan Carlos & Victória Barbosa, Jorge Luis & Antunes, Rodolfo Stoffel & da Rosa Righi, Rodrigo & da Costa, Cristiano André & Vanzin, Mariangela & Dornelles, Daniel & J, 2023. "Machine learning-based automation of accounting services: An exploratory case study," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    6. Fernandez Martinez, Roberto & Lostado Lorza, Ruben & Santos Delgado, Ana Alexandra & Piedra, Nelson, 2021. "Use of classification trees and rule-based models to optimize the funding assignment to research projects: A case study of UTPL," Journal of Informetrics, Elsevier, vol. 15(1).
    7. Mancuso, Ilaria & Petruzzelli, Antonio Messeni & Panniello, Umberto & Vaia, Giovanni, 2025. "The bright and dark sides of AI innovation for sustainable development: Understanding the paradoxical tension between value creation and value destruction," Technovation, Elsevier, vol. 143(C).
    8. Ayat Sami ODEIBAT, 2021. "The Effect Of Technology Evolution On The Future Of Jobs," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 17, pages 57-67, June.
    9. Neubert, Mitchell J. & Montañez, George D., 2020. "Virtue as a framework for the design and use of artificial intelligence," Business Horizons, Elsevier, vol. 63(2), pages 195-204.
    10. Wenwen Chen & Yangchongyi Men & Noelia Fuster & Celia Osorio & Angel A. Juan, 2024. "Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review," Sustainability, MDPI, vol. 16(21), pages 1-22, October.
    11. 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).
    12. Li, Chia-Ying & Zhang, Jin-Ting, 2023. "Chatbots or me? Consumers’ switching between human agents and conversational agents," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    13. Li, Qianru & Zhang, Yuhao & Um, Geumchul, 2025. "Intertwining artificial intelligence and efficiency: An empirical analysis of AI focus and operational efficacy in Chinese listed firms," Finance Research Letters, Elsevier, vol. 80(C).
    14. Alina Köchling & Marius Claus Wehner, 2020. "Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 795-848, November.
    15. Holmström, Jonny, 2022. "From AI to digital transformation: The AI readiness framework," Business Horizons, Elsevier, vol. 65(3), pages 329-339.
    16. 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).
    17. Nick Drydakis, 2022. "Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic," Information Systems Frontiers, Springer, vol. 24(4), pages 1223-1247, August.
    18. Plekhanov, Dmitry & Franke, Henrik & Netland, Torbjørn H., 2023. "Digital transformation: A review and research agenda," European Management Journal, Elsevier, vol. 41(6), pages 821-844.
    19. Plattfaut, Ralf & Koch, Julian, 2021. "Preserving the legacy – Why do professional soccer clubs (not) adopt innovative process technologies? A grounded theory study," Journal of Business Research, Elsevier, vol. 136(C), pages 237-250.
    20. Graziela Molling & Amarolinda Zanela Klein, 2022. "Value proposition of IoT-based products and services: a framework proposal," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 899-926, June.

    More about this item

    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:abw:journl:y:2026:id:1243. 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: ООО Ð˜Ð·Ð´Ð°Ñ‚ÐµÐ»ÑŒÑ ÐºÐ¸Ð¹ дом Â«Ð ÐµÐ°Ð»ÑŒÐ½Ð°Ñ Ñ ÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ°Â» (email available below). General contact details of provider: https://www.jsdrm.ru/jour/about/journalSponsorship .

    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.