Nazeer, Sumaira, Sumbal, Muhammad Saleem, Liu, Gang, Munir, Hina, and Tsui, Eric (2025) The next big thing: role of ChatGPT in personal knowledge management challenges and opportunities for knowledge workers across diverse disciplines. Global Knowledge, Memory and Communication, 74 (7-8). pp. 2255-2269.

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Abstract

Purpose: The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines.

Design/methodology/approach: The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability.

Findings: This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM.

Research limitations/implications: This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research.

Originality/value: ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.

Item ID:	90342
Item Type:	Article (Research - C1)
ISSN:	2514-9350
Copyright Information:	Published Version: © Emerald Publishing. AAM may be made open access in an Institutional Repository under a CC BY-NC license without embargo.
Date Deposited:	28 Jan 2026 23:17
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4610 Library and information studies > 461004 Information governance, policy and ethics @ 50%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 100%
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