Programmer perceptions of knowledge-sharing behavior under social cognitive theory

Ming Ten Tsai, Nai Chang Cheng

研究成果: Article同行評審

55 引文 斯高帕斯(Scopus)


Despite the importance of the software industry, little research using social cognitive perspective has focused on the software industry. This study thus examines key factors, including self-efficacy, expectancy theory and organizational climate, on the software workers to intent to share knowledge, using a social cognitive framework. Programmers and software workers in Taiwan were surveyed to test the proposed research model. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) technique were used to analyze the data and evaluate the research model. Results showed that that the research model fit the data well and the main determinants of knowledge-sharing behavior were the encouraging intentions of knowledge intensive workers. We confirm our hypothesis that knowledge sharing self-efficacy and outcome expectancy, as well as organizational climate, will affect individual intentions to share knowledge. Additionally, organizational climate and perceived managerial incentive were found to positively encourage knowledge-sharing behavior. Research and practical implications are described.

頁(從 - 到)8479-8485
期刊Expert Systems With Applications
出版狀態Published - 2010 12月

All Science Journal Classification (ASJC) codes

  • 工程 (全部)
  • 電腦科學應用
  • 人工智慧


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