{"title":"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","authors":"Arun Mittal, Sonia Singh, S. Suman Rajest","doi":"10.1504/ijef.2023.133838","DOIUrl":null,"url":null,"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).","PeriodicalId":38015,"journal":{"name":"International Journal of Electronic Finance","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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\",\"doi\":\"10.1504/ijef.2023.133838\",\"DOIUrl\":null,\"url\":null,\"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).\",\"PeriodicalId\":38015,\"journal\":{\"name\":\"International Journal of Electronic Finance\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Electronic Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijef.2023.133838\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electronic Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijef.2023.133838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Role of artificial intelligence in knowledge management: an empirical study of industry experts using stepwise multiple regression
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).
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