AI-empowered KM processes for decision-making: empirical evidence from worldwide organisations

被引:1
|
作者
Leoni, Luna [2 ]
Gueli, Ginetta [3 ]
Ardolino, Marco [1 ]
Panizzon, Mateus [4 ]
Gupta, Shivam [5 ]
机构
[1] Univ Brescia, Dept Mech & Ind Engn, Brescia, Italy
[2] Tor Vergata Univ Rome, Dept Management & Law, Rome, Italy
[3] InfoCert, Dept Int, Strateg Programs Governance, Rome, Italy
[4] Univ Caxias Sul, Dept Business & Management, Caxias Do Sul, Brazil
[5] NEOMA Business Sch, Dept Informat Syst, Supply Chain Management & Decis Support, Reims, France
关键词
Artificial intelligence; Knowledge management; Decision-making; Framework; Thematic analysis; KNOWLEDGE MANAGEMENT PROCESSES; ARTIFICIAL-INTELLIGENCE; BIG DATA; SYSTEMS; CHALLENGES; TECHNOLOGIES; INVOLVEMENT; INTERVIEWS; INNOVATION; FRAMEWORK;
D O I
10.1108/JKM-03-2024-0262
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
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 forprofit 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.
引用
收藏
页码:320 / 347
页数:28
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