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篇名 探討自我效能與信任對知識管理系統成功之調節影響
卷期 3:2
並列篇名 The Moderating Effects of Self-Efficacy and Trust on Knowledge Management Systems Success
作者 洪新原吳祥麟黃耀慶
頁次 101-124
關鍵字 知識管理系統資訊系統成功自我效能對於知識貢獻者之信任Knowledge Management SystemsInformation Systems SuccessSelf-EfficacyTrust on Knowledge Contributors
出刊日期 201106

中文摘要

在這競爭激烈的環境中,知識在企業當中所扮演的角色是越來越重要。近幾年,許多大企業普遍採用知識管理系統,來幫助企業提升競爭力,因此許多學者紛紛投入研究影響知識管理系統成功的因素。然而在探討知識管理系統成功因素的同時,使用者個人的因素常被忽略。當使用者面對相同的知識管理系統時,常因個人因素的影響,而有不同的使用意圖及滿意度。因此,本研究目的是要去了解使用者個人的因素中,二個重要的因素,即自我效能與對於知識貢獻者之信任,對於知識管理系統成功的調節效果。本研究使用問卷調查法,以有使用過知識管理系統的12 家企業員工為對象,共發出320 份問卷,回收161 份,經剔除16 份無效問卷後,實際有效樣本數為145 份,有效樣本回收率為45.3%。研究結果顯示知識品質、系統品質以及服務品質皆會顯著的影響使用者對於知識管理系統的使用意圖,而知識品質與服務品質也會顯著影響使用者滿意度。除此之外,自我效能與對於知識貢獻者之信任同樣地皆會調節系統品質對於使用意圖與使用者滿意度之間的影響,並且對於知識貢獻者之信任也會顯著調節服務品質對於使用意圖之間的關係。

英文摘要

Knowledge plays an important role in the highly competitive business environment. In recent years,business widely adopted the knowledge management systems (KMS). Hence, it is crucial to understand what
factors influence the KMS success. There were a lot of studies conducted to explore the way to the KMS success.However, personal factors were ignored among the related studies. Different personal factors may lead to
different degrees of intention to use and satisfaction on KMS with the same KMS. Thus the purpose of this study is to examine the moderating effects of two important personal factors, self-efficacy and trust on knowledge contributors, on KMS success.A survey was conducted and the questionnaires were sent to 320 employees with experience on using KMS
in twelve organizations. One hundred and sixty one were returned. Sixteen of them were excluded. Thus, 145 effective respondents remained, showing a 45.3% response rate. The results indicate that knowledge quality,
system quality and service quality significantly influence intention to use KMS. Also, knowledge quality and service quality significantly influence user satisfaction. Additionally, self-efficacy and trust on knowledge contributors moderate the relationships between system quality and intention to use and system quality and user satisfaction respectively. Finally, trust on knowledge contributors moderates the relationship between service quality and intention to use.

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