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

Q4 Economics, Econometrics and Finance

International Journal of Electronic Finance Pub Date : 2023-01-01 DOI:10.1504/ijef.2023.133838

Arun Mittal, Sonia Singh, S. Suman Rajest

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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).

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人工智能在知识管理中的作用:基于行业专家逐步多元回归的实证研究

知识管理(KM)被认为是现代组织增长和可持续性的命脉。各种以信息技术为基础的解决方案的出现彻底改变了知识管理系统，使其高效、迅速和健壮。人工智能就是这样一种IT进化。该研究汇集了来自IT和ITEs、研究、银行、金融科技和零售等不同行业的专家。数据是通过结构化问卷收集217位行业专家，问卷采用五点李克特量表进行测量，其中20项为自变量，1项为因变量。数据分析采用探索性因子分析(EFA)和多元回归分析。研究发现，影响知识管理的最重要因素是“知识分布”，其效应大小为标准化beta(0.806)，其次是“放大效率”(0.307)，实时参与和协作(0.108)，以及“人工智能作为人工神经网络”(0.080)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Electronic Finance Business, Management and Accounting-Management of Technology and Innovation

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： IJEF publishes articles that present current practice and research in the area of e-finance. It is dedicated to design, development, management, implementation, technology, and application issues in e-finance. Topics covered include: -E-business and IT/IS investment -E-banking/m-banking strategy/implementation -Digitisation in financial supply chain -[E-]auditing, e-taxation, e-cash flow -Customer channel management -Data mining/warehousing -E-lending/e-payment/e-procurement -Cultural/social/political issues -E-trading/online auctions -Knowledge management -Business intelligence -E-government regulation -Security/privacy/trust -IT risk analysis -Human-computer interaction