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Role of artificial intelligence in knowledge management: an empirical study of industry experts using stepwise multiple regression

Author

Listed:
  • Arun Mittal
  • Sonia Singh
  • S. Suman Rajest

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).

Suggested Citation

  • Arun Mittal & Sonia Singh & S. Suman Rajest, 2023. "Role of artificial intelligence in knowledge management: an empirical study of industry experts using stepwise multiple regression," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 12(4), pages 403-422.
    • Handle: RePEc:ids:ijelfi:v:12:y:2023:i:4:p:403-422
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