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

知识管理 个人知识管理 知识价值链 计算机科学 知识整合 独创性 知识库 组织学习 大数据 知识共享 竞争优势 知识工程 业务 人工智能 定性研究 社会学 营销 操作系统 社会科学
作者
Muhammad Saleem Sumbal,Quratulain Amber,Adeel Tariq,Muhammad Mustafa Raziq,Eric Tsui
出处
期刊:Industrial Management and Data Systems [Emerald (MCB UP)]
卷期号:124 (9): 2736-2757
标识
DOI:10.1108/imds-06-2023-0360
摘要

Purpose The 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/approach Using 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. Findings This 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/implications This 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 implications The 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/value This is one of the first studies exploring the linkage between ChatGPT and knowledge management for informed decision-making.

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