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

• Published in: Industrial management + data systems Vol. 124; no. 9; pp. 2736 - 2757
• Main Authors: Sumbal, Muhammad Saleem, Amber, Quratulain, Tariq, Adeel, Raziq, Muhammad Mustafa, Tsui, Eric
• Format: Journal Article
• Language: English
• Published: Wembley Emerald Publishing Limited 28-08-2024; Emerald Group Publishing Limited
• Subjects: Academic disciplines; Artificial intelligence; Big Data; Case studies; Chatbots; Continuous improvement; COVID-19; Decision making; Employees; Explicit knowledge; Generative artificial intelligence; Information management; Information retrieval; Knowledge bases (artificial intelligence); Knowledge management; Knowledge sharing; Language; Management systems; Organizational aspects; Organizations; Product development; Real time; Social networks; Tacit knowledge; Technology; Knowledge management; Big data; ChatGPT; Decision making; Explicit knowledge; Tacit knowledge
• ISSN: 0263-5577; 1758-5783
• DOI: 10.1108/IMDS-06-2023-0360

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.