Wind of change: how ChatGPT and big data can reshape the knowledge management paradigm?

被引:2
作者
Sumbal, Muhammad Saleem [1 ]
Amber, Quratulain [2 ]
Tariq, Adeel [3 ]
Raziq, Muhammad Mustafa [4 ]
Tsui, Eric [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Peoples R China
[2] Univ Kurdistan Hawler, Sch Management & Econ, Erbil, Iraq
[3] LUT Univ, Ind Engn & Management Dept, Kouvola Unit, Kouvola, Finland
[4] Univ Sharjah, Coll Business Adm, Sharjah, U Arab Emirates
关键词
ChatGPT; Knowledge management; Big data; Explicit knowledge; Tacit knowledge; Decision making; ARTIFICIAL-INTELLIGENCE; TACIT KNOWLEDGE;
D O I
10.1108/IMDS-06-2023-0360
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
PurposeThe new disruption in the form of ChatGPT can be a valuable tool for organizations to enhance their knowledge management and decision-making capabilities. This article explores how ChatGPT can enhance organizations' KM capability for improved decision-making and identifies potential risks and opportunities.Design/methodology/approachUsing existing literature and a small-scale case study, we develop a conceptual framework for implementing artificial intelligence on the internal organizational knowledge base of big data and its integration with a larger knowledge base of ChatGPT.FindingsThis viewpoint conceptualizes integrating knowledge management and ChatGPT for improved organizational decision-making. By facilitating efficient information retrieval, personalized learning, collaborative knowledge sharing, real-time decision support, and continuous improvement, ChatGPT can help organizations stay competitive and achieve business success.Research limitations/implicationsThis is one of the first studies on the integration of organizational knowledge management systems with ChatGPT. This research work proposes a conceptual model on integration of knowledge management with generative AI which can be further tested in actual work settings to check it's applicability and make further modifications.Practical implicationsThe study provided insights to managers and executives who, in collaboration with IT professionals, can devise a mechanism for integrating existing knowledge management systems in organizations with ChatGPT.Originality/valueThis is one of the first studies exploring the linkage between ChatGPT and knowledge management for informed decision-making.
引用
收藏
页码:2736 / 2757
页数:22
相关论文
共 73 条
  • [1] Applying artificial intelligence technique to predict knowledge hiding behavior
    Abubakar, A. Mohammed
    Behravesh, Elaheh
    Rezapouraghdam, Hamed
    Yildiz, Selim Baha
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2019, 49 : 45 - 57
  • [2] Knowledge management, decision-making style and organizational performance
    Abubakar, Abubakar Mohammed
    Elrehail, Hamzah
    Alatailat, Maher Ahmad
    Elci, Alev
    [J]. JOURNAL OF INNOVATION & KNOWLEDGE, 2019, 4 (02): : 104 - 114
  • [3] Revolutionizing education with AI: Exploring the transformative potential of ChatGPT
    Adiguzel, Tufan
    Kaya, Mehmet Haldun
    Cansu, Fatih Kursat
    [J]. CONTEMPORARY EDUCATIONAL TECHNOLOGY, 2023, 15 (03)
  • [4] Al Mansoori S., 2021, Recent Advances in Intelligent Systems and Smart Applications, P163, DOI [DOI 10.1007/978-3-030-47411-9_9, 10.1007/978-3-030-59933-614]
  • [5] The Challenges and Opportunities in the Digitalization of Companies in a Post-COVID-19 World
    Almeida F.
    Duarte Santos J.
    Augusto Monteiro J.
    [J]. IEEE Engineering Management Review, 2020, 48 (03): : 97 - 103
  • [6] COVID-19 and digitalization: The great acceleration
    Amankwah-Amoah, Joseph
    Khan, Zaheer
    Wood, Geoffrey
    Knight, Gary
    [J]. JOURNAL OF BUSINESS RESEARCH, 2021, 136 : 602 - 611
  • [7] Amber Q, 2023, ChatGPT revolution in different fields of life: literature synthesis and research agenda
  • [8] Machine Learning for Public Administration Research, With Application to Organizational Reputation
    Anastasopoulos, L. Jason
    Whitford, Andrew B.
    [J]. JOURNAL OF PUBLIC ADMINISTRATION RESEARCH AND THEORY, 2019, 29 (03) : 491 - 510
  • [9] Ausat A., 2023, Journal on Education, V5, P16100, DOI [10.31004/joe.v5i4.2745, DOI 10.31004/JOE.V5I4.2745]
  • [10] Berg J., 2023, MULTISTAKEHOLDER FOR