IDEAS home Printed from https://ideas.repec.org/a/vrs/poicbe/v14y2020i1p597-606n56.html
   My bibliography  Save this article

Incorporating artificial intelligence in knowledge creation processes in organizations

Author

Listed:
  • Neştian Andrei Ștefan

    (Alexandru Ioan Cuza University, Iasi, Romania)

  • Tiţă SilviuMihail

    (Alexandru Ioan Cuza University, Iasi, Romania)

  • Guţă Alexandra Luciana

    (Alexandru Ioan Cuza University, Iasi, Romania)

Abstract

In organizations, the knowledge creation remained an exclusive attribute of humans until the emergence of artificial intelligence. The role of information systems in organizations expanded continuously, including recording, organizing, processing, storage, dissemination and making available the information, until the revolutionary emergence of artificial intelligence. The role of knowledge creation is no longer exclusive to humans. Artificial intelligence becomes a partner entity of employees in knowledge creation processes in organizations. This article investigates how artificial intelligence can be incorporated in knowledge creation processes. Starting from the study of scientific literature, this article presents concepts and taxonomies associated with the use of artificial intelligence in the processes of knowledge creation in organizations. The study is a first step in a larger research, which aims to identify the main consequences, on employees and organizations, of the incorporation of artificial intelligence in the processes of knowledge creation.

Suggested Citation

  • Neştian Andrei Ștefan & Tiţă SilviuMihail & Guţă Alexandra Luciana, 2020. "Incorporating artificial intelligence in knowledge creation processes in organizations," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 597-606, July.
  • Handle: RePEc:vrs:poicbe:v:14:y:2020:i:1:p:597-606:n:56
    DOI: 10.2478/picbe-2020-0056
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/picbe-2020-0056
    Download Restriction: no

    File URL: https://libkey.io/10.2478/picbe-2020-0056?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. Rajendra Akerkar, 2019. "Artificial Intelligence for Business," SpringerBriefs in Business, Springer, number 978-3-319-97436-1, January.
    2. Constantin BRATIANU, 2008. "Knowledgedynamics and Thermodynamics," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(4), pages 43-46.
    3. Bang Nguyen & Xiaoyu (allen) Yu & T. C. Melewar & Junsong Chen, 2015. "Brand innovation and social media : Knowledge acquisition from social media, market orientation, and the moderating role of social media strategic capability," Post-Print hal-02312301, HAL.
    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. Dominik M. Wielgos & Christian Homburg & Christina Kuehnl, 2021. "Digital business capability: its impact on firm and customer performance," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 762-789, July.
    2. Shrutika Mishra & A. R. Tripathi, 2021. "AI business model: an integrative business approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-21, December.
    3. Zhisheng Chen, 2023. "Artificial Intelligence-Virtual Trainer: Innovative Didactics Aimed at Personalized Training Needs," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 2007-2025, June.
    4. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    5. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.
    6. Gerda Zigiene & Egidijus Rybakovas & Rimgaile Vaitkiene, 2020. "Challenges in Applying Artificial Intelligence for Supply Chain Risk Management," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 299-318.
    7. Vătămănescu Elena-Mădălina & Andrei Andreia Gabriela & Zaiţ Adriana, 2020. "Placing self-assessed health within the systems framework: a preliminary insight into social synergy and syntony," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 626-635, July.
    8. Băeşu Camelia & Bejinaru Ruxandra, 2020. "Knowledge management strategies for leadership in the digital business environment," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 646-656, July.
    9. Bhimani, Hardik & Mention, Anne-Laure & Barlatier, Pierre-Jean, 2019. "Social media and innovation: A systematic literature review and future research directions," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 251-269.
    10. Motoc Adrian, 2020. "Romanian family business branding: contextual factors of influence of decisional processes," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 607-616, July.
    11. Hassani, Abdeslam & Mosconi, Elaine, 2022. "Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Nguyen, Bang & Yu, Xiaoyu & Melewar, T.C. & Gupta, Suraksha, 2016. "Critical brand innovation factors (CBIF): Understanding innovation and market performance in the Chinese high-tech service industry," Journal of Business Research, Elsevier, vol. 69(7), pages 2471-2479.
    13. Mónica Santana & Mirta Díaz-Fernández, 2023. "Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives," Review of Managerial Science, Springer, vol. 17(6), pages 1971-2004, August.
    14. Baker, William E. & Mukherjee, Debmalya & Gattermann Perin, Marcelo, 2022. "Learning orientation and competitive advantage: A critical synthesis and future directions," Journal of Business Research, Elsevier, vol. 144(C), pages 863-873.
    15. Agarici Corina & Scarlat Cezar & Iorga Danuţ, 2020. "Turning cross-cultural management conflict into collaboration: Indian and Romanian experiences in Global Project Teams," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 1024-1034, July.
    16. Wang, Qiping & Lau, Raymond Yiu Keung & Xie, Haoran, 2021. "The impact of social executives on firms’ mergers and acquisitions strategies: A difference-in-differences analysis," Journal of Business Research, Elsevier, vol. 123(C), pages 343-354.
    17. Martín-Rojas, Rodrigo & García-Morales, Victor J. & Garrido-Moreno, Aurora & Salmador-Sánchez, Maria Paz, 2021. "Social Media Use and the Challenge of Complexity: Evidence from the Technology Sector," Journal of Business Research, Elsevier, vol. 129(C), pages 621-640.
    18. Negruţiu Cristian & Onea Alexandra & Bădescu Ruxandra, 2020. "Innovation trends in Romanian logistics providers industry," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 807-818, July.
    19. Starr, Richard G. & Zhu, Andrew Q. & Frethey-Bentham, Catherine & Brodie, Roderick J., 2020. "Peer-to-peer interactions in the sharing economy: Exploring the role of reciprocity within a Chinese social network," Australasian marketing journal, Elsevier, vol. 28(3), pages 67-80.
    20. Nebojsa Bacanin & Miodrag Zivkovic & Catalin Stoean & Milos Antonijevic & Stefana Janicijevic & Marko Sarac & Ivana Strumberger, 2022. "Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering," Mathematics, MDPI, vol. 10(22), pages 1-31, November.

    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:vrs:poicbe:v:14:y:2020:i:1:p:597-606:n:56. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.