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  • 标题:An exploration study to find important factors influencing on expert systems
  • 本地全文:下载
  • 作者:Naser Azad ; Mohammad Teymouri ; Reyhaneh Malekzadeh
  • 期刊名称:Management Science Letters
  • 印刷版ISSN:1923-9335
  • 电子版ISSN:1923-9343
  • 出版年度:2013
  • 卷号:3
  • 期号:9
  • 页码:2473-2478
  • DOI:10.5267/j.msl.2013.08.016
  • 出版社:Growing Science
  • 摘要:Knowledge management plays an important role in modern management systems since many existing systems move towards learning organizations. Expert systems, on the other hand, are considered as the most popular techniques for adapting recent developments on knowledge management. This paper presents an empirical investigation to find important factors influencing adaptation of expert systems. The proposed study designs a questionnaire in Likert scale consists of 25 questions, distributes it among 258 people who have recently graduated from computer science and they are familiar with implementation of expert systems. Cronbach alpha is calculated as 0.730 and Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Approx. Chi-Square are 0.748 and 1377.397, respectively. The study has implemented principal component analysis and the results have indicated that there were four factors influencing expert systems including systems management, intelligence systems, system analysis and specialized analysis.

  • 关键词:Expert systems; Factor analysis; Knowledge management; Intelligence system; Neural network
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