A Study on Influencing Factors of Knowledge Management Systems Adoption: Models Comparison Approach

碩士 === 世新大學 === 資訊傳播學研究所(含碩專班) === 95 === Using structural equation model as analysis method and technology acceptance model and decomposed theory of planned behavior as research foundation, this study approaches mainly from the angle of behavioral intention to examine the influential factors of 421...

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Bibliographic Details
Main Authors: Mei-Chun Yeh, 葉美春
Other Authors: Ming-Shu Yuan
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/93114525679548171910
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Summary:碩士 === 世新大學 === 資訊傳播學研究所(含碩專班) === 95 === Using structural equation model as analysis method and technology acceptance model and decomposed theory of planned behavior as research foundation, this study approaches mainly from the angle of behavioral intention to examine the influential factors of 421 employees adopting knowledge management systems and in the meantime to compare the two method models mentioned on the top. According to the research, there is no, in comparison with technology acceptance model and decomposed theory of planned behavior, apparent increase on the explanatory power with the posterior. On the aspect of influential factors of users toward knowledge management systems, behavioral intention can efficiently predict the usage behavior, while attitude, subjective norm, and perceived behavioral control the behavioral intention, attitude has the strongest predictive power among above, than subjective norm, and the least perceived behavioral control. Perceived usefulness can only predict the behavioral intention indirectly, while perceived ease of use can efficiently predict perceived usefulness. Perceived usefulness and perceived ease of use can predict attitude effectively, but the former owns a better predictive power than the latter. Both peer influence and superior’s influence can operatively predict the subjective norm, but peer influence has a higher predictive power. Compare self efficacy and resource facilitating conditions, the former is more powerful than the latter in predicting perceived behavioral control. From the viewpoint of end-users, this research analyses the effect factors that why users adopt knowledge management system, meanwhile, making this result as a reference for telecommunication dealers who is going to lead into or promote knowledge management systems.