An empirical study of evaluating the success of knowledge managementsystems (KMS) in Taiwanese public service sector

• Main Authors: Lin-Hua Zou, 鄒林華
• Other Authors: Jung-Chi Pai
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/70375050293530626013

碩士 === 德明財經科技大學 === 服務業經營管理研究所 === 97 === With the coming of knowledge-based economy era and the rapid change of economic environment, the enterprises and public sector face the challenge of global competition. Furthermore, knowledge management has gradually become the important managerial activities for organizations to enhance their competitive advantages. Organizations can view internal knowledge as an intellectual asset from which they can draw greater productivity, create new value, and increase their competitiveness. Recently, development of knowledge-based e-government has also received great attention from both researchers and practitioners to comply with the dynamic, complicated, and diverse environments. Furthermore, the processing and innovation of core knowledge for organizations have identified as an important issue for assessing the KMS success. Organizations may gain their benefits if they can grasp the user requirements of KMS and the fit of task and technology. According to the literatures, we can see that numerous studies have explored the intention and behavior of using KMS based on the theory of planned behavior (TPB) and technology acceptance model (TAM). Furthermore, the development and applications of knowledge management have been examined from the various perspectives (including organization culture, human resources, performance evaluation, etc) by researchers in recent years. However, seldom research has been conducted on the assessment of KMS based on both information systems success model and the perspective of task-technology fit in the public sector. The main purpose of this study is to assess the KMS success of public service sector by an empirical study. Furthermore the proposed research model was built on the basis of task-technology fit (TTF) framework as well as DeLone and McLean’s IS success Model. Data were collected from the six branches of the Bureau of National Health Insurance in Taiwan using a questionnaire survey. We sent out 300 questionnaires and received 230 useful responses with a response rate of around 76.7%. The respondents all have the experience in using the KMS of the Bureau of National Health Insurance. Moreover, structural equation modeling (SEM) and analysis of variance (ANOVA) were used to analyze the hypothesized relationships between the constructs in the research model, supporting by AMOS 7.0 and SPSS 15.0 software. The implications of the findings for KMS practice are discussed. Moreover, the limitations, contributions, and future research of this study are examined. Finally, this paper provides a valuable reference for the top managers of public service sector who are initiating or conducting knowledge management exercises in the digital era, and for researchers interested in the e-business strategy.