Integrating artificial intelligence for knowledge management systems – synergy among people and technology: a systematic review of the evidence

Rashmi Yogesh Pai, Ankitha Shetty, Adithya D. Shetty, Rakshith Bhandary, Jyothi Shetty, Santosh Nayak, Tantri Keerthi Dinesh and Komal Jenifer D'souza

Economic Research-Ekonomska Istraživanja, 2022, vol. 35, issue 1, 7043-7065

Abstract: This paper analyses Artificial Intelligence (AI) and Knowledge Management (KM) and focuses primarily on examining to what degree AI can help companies in their efforts to handle information and manage knowledge effectively. A search was carried out for relevant electronic bibliographic databases and reference lists of relevant review articles. Articles were screened and the eligibility was based on participants, procedures, comparisons, outcomes (PICO) model, and criteria for PRISMA (Preferred Reporting Items for Systematic Reviews). The results reveal that knowledge management and AI are interrelated fields as both are intensely connected to knowledge; the difference reflects in how – while AI offers machines the ability to learn, KM offers a platform to better understand knowledge. The research findings further point out that communication, trust, information systems, incentives or rewards, and the structure of an organization; are related to knowledge sharing in organizations. This systematic literature review is the first to throw light on KM practices & the knowledge cycle and how the integration of AI aids knowledge management systems, enterprise performance & distribution of knowledge within the organization. The outcomes offer a better understanding of efficient and effective knowledge resource management for organizational advantage. Future research is necessary on smart assistant systems thus providing social benefits that strengthen competitive advantage. This study indicates that organizations must take note of definite KM leadership traits and organizational arrangements to achieve stable performance through KM.

Date: 2022
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DOI: 10.1080/1331677X.2022.2058976

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