Purpose

This paper aims to provide empirical evidence on adopting artificial intelligence (AI), including generative AI, in knowledge management (KM) processes and its impact on organisational decision-making. Specifically, the study addresses three key research questions: RQ1: How is (generative) AI adopted within KM processes in organisations? RQ2: What factors influence the adoption of AI in these processes, either facilitating or inhibiting it? RQ3: How does AI adoption in KM processes affect organisational decision-making?

Design/methodology/approach

An explorative investigation has been conducted through semi-structured interviews with KM and AI experts from a worldwide sample of 52 mostly private, large and for-profit organisations. Interviews have been analysed through a mixed thematic analysis.

Findings

The study provides an original framework in which the three investigated concepts are interconnected according to a dual relationship: linear and retroactive and 20 factors affecting AI adoption within KM processes.

Practical implications

The provided model guides managers in improving their organisational decision-making through AI adoption in KM processes. Moreover, according to the rational decision-making model, the authors propose a six-step systematic procedure for managers.

Originality/value

To the best of the authors’ knowledge, this is the first study that simultaneously addresses AI, KM and decision-making and provides an integrated framework showing the relationships between them, allowing organisations to better and practically understand how to ameliorate their decision-making through AI adoption in KM processes.

中文翻译：

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AI 赋能的 KM 决策流程：来自全球组织的经验证据

 目的

本文旨在为在知识管理 （KM） 流程中采用人工智能 （AI），包括生成式 AI 及其对组织决策的影响提供实证证据。具体来说，该研究解决了三个关键研究问题： RQ1：如何在组织的 KM 流程中采用（生成式）人工智能？RQ2：哪些因素会影响 AI 在这些过程中的采用，是促进还是抑制它？RQ3：人工智能在 KM 流程中的采用如何影响组织决策？

设计/方法/方法

通过对来自全球 52 个样本的 KM 和 AI 专家进行半结构化访谈，进行了探索性调查，这些样本主要是私营、大型和营利性组织。访谈通过混合主题分析进行分析。

 发现

该研究提供了一个原始框架，其中所研究的三个概念根据双重关系相互关联：线性和追溯性以及影响 AI 在 KM 流程中采用的 20 个因素。

 实际意义

提供的模型指导管理人员通过在 KM 流程中采用 AI 来改进他们的组织决策。此外，根据理性决策模型，作者为管理者提出了一个六步系统程序。

 原创性/价值

据作者所知，这是第一项同时解决 AI、知识管理和决策的研究，并提供了一个集成框架来显示它们之间的关系，使组织能够更好、更实际地了解如何通过在 KM 流程中采用 AI 来改善其决策。