Title: Role of artificial intelligence in knowledge management: an empirical study of industry experts using stepwise multiple regression
Authors: Arun Mittal; Sonia Singh; S. Suman Rajest
Addresses: Department of Management, Birla Institute of Technology, Mesra, Ranchi (Noida Campus), UP-201301, India ' Toss Global Management, Flat 612, CBD 32, International City Dubai, UAE ' Department of Research, Bharath Institute of Higher Education and Research, Chennai-600126, Tamil Nadu, India
Abstract: Knowledge management (KM) is considered the lifeblood of growth and sustainability in modern organisations. The emergence of various information technology-based solutions has thoroughly transformed the KM system by making it efficient, swift, and robust. Artificial intelligence is one such IT evolution. The study has considered experts from different industries like IT and ITEs, research, banking, FinTech, and retail. The data were collected from 217 industry experts through a structured questionnaire containing a five-point Likert scale for measurement, containing 20 items as independent variables and one as the dependent variable. Data analysis was done through 'exploratory factor analysis (EFA)' and multiple regression analysis. The most important factor contributing to knowledge management was found to be 'knowledge distribution' with an effect size of standardised beta (.806), followed by 'amplifying efficiency' (0.307), real-time engagement and collaboration (0.108), and 'AI as an artificial neural network' (0.080).
Keywords: knowledge management; artificial intelligence; knowledge distribution; artificial neural network; ANN; real-time engagement.
International Journal of Electronic Finance, 2023 Vol.12 No.4, pp.403 - 422
Received: 26 Nov 2022
Accepted: 27 Dec 2022
Published online: 04 Oct 2023 *