Artificial intelligence in knowledge management: Identifying and addressing the key implementation challenges

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2025-05-02 DOI:10.1016/j.techfore.2025.124183

Mojtaba Rezaei

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引用次数: 0

Abstract

In today's digital landscape, Knowledge Management (KM) is crucial for organisational competitiveness. Artificial Intelligence (AI) offers transformative potential for KM practices, yet its integration presents multifaceted challenges. This study addresses significant gaps in the literature by identifying and prioritising critical challenges associated with AI integration in KM.

Employing a tripartite methodological approach, this research combines a literature review on KM and AI’s challenges, a Delphi study with domain experts, and confirmatory factor analysis (CFA) across four KM processes. Data from retail sector professionals validate the challenges identified by experts.

Findings reveal a comprehensive landscape of challenges, categorised into technological, organisational, and ethical domains, with variations across different KM processes. The study contributes to the field by comprehensively exploring AI-related challenges in KM, offering a quantitative ranking, and enhancing understanding of the AI-KM interplay.

This research provides valuable insights for business leaders, facilitating the development of strategies to foster robust knowledge ecosystems. By addressing these challenges proactively, organisations can enhance their KM practices, leveraging AI to maintain competitiveness in an increasingly digital business environment. The study contributes to theoretical discourse and offers practical implications for organisations navigating AI integration in their KM practices.

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知识管理中的人工智能：识别和解决关键的实现挑战

在当今的数字环境中，知识管理（KM）对组织竞争力至关重要。人工智能（AI）为知识管理实践提供了变革的潜力，但它的整合带来了多方面的挑战。本研究通过识别和优先考虑与知识管理中人工智能集成相关的关键挑战，解决了文献中的重大空白。本研究采用三方方法学方法，结合了关于知识管理和人工智能挑战的文献综述、领域专家的德尔菲研究以及四个知识管理过程的验证性因素分析（CFA）。来自零售业专业人士的数据验证了专家们所确定的挑战。研究结果揭示了挑战的综合景观，分为技术、组织和道德领域，在不同的知识管理过程中存在差异。该研究通过全面探索知识管理中与人工智能相关的挑战，提供定量排名，并加强对人工智能与知识管理相互作用的理解，为该领域做出了贡献。这项研究为企业领导者提供了有价值的见解，促进了培育强大知识生态系统的战略发展。通过积极应对这些挑战，组织可以加强他们的知识管理实践，利用人工智能在日益数字化的商业环境中保持竞争力。该研究有助于理论论述，并为组织在其知识管理实践中导航人工智能集成提供了实践意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

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