報告日期: 2010/04/01 指導教授:戴敏育 報 告 人:黃煒勛 (...
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ACCEPTANCE OF BLOG USAGE: THE ROLES OF TECHNOLOGY ACCEPTANCE, SOCIAL INFLUENCE AND KNOWLEDGE SHARING MOTIVATION INFORMATION & MANAGEMENT 45 (2008) CHIN-LUNG HSU, JUDY CHUAN-CHUAN LIN. 報告日期: 2010/04/01 指導教授:戴敏育 報 告 人:黃煒勛 ( 淡江大學資管系 ) 葉鎰維 ( 淡江大學資管系 ). 大綱. Introduction Literature review - PowerPoint PPT PresentationTRANSCRIPT
ACCEPTANCE OF BLOG USAGE: THE ROLES OF TECHNOLOGY ACCEPTANCE,SOCIAL INFLUENCE AND KNOWLEDGE SHARING MOTIVATION
INFORMATION & MANAGEMENT 45 (2008) CHIN-LUNG HSU, JUDY CHUAN-CHUAN LIN
報告日期: 2010/04/01
指導教授:戴敏育報 告 人:黃煒勛 ( 淡江大學資管系 )
葉鎰維 ( 淡江大學資管系 )
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LITERATURE REVIEW
TRA (theory of reasoned action) and related studies
Beliefs regarding technology acceptance Beliefs regarding knowledge sharing Social influence perspectives
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Technology acceptance factor
H1a Perceived usefulness will positively affect users’ attitudes toward participating in a blog.
H1b Perceived ease of use will positively affect users’ attitudes toward participating in a blog.
H1c Perceived enjoyment will positively affect users’ attitudes toward participating in a blog.
H2 Attitude will positively affect users’ intentions to participate in a blog.
Knowledge sharing motivation
H3a Altruism will positively affect users’ attitudes toward participating in a blog.
H3b Expected reciprocal benefit will positively affect users’ attitudes toward participating in a blog.
H3c Reputation will positively affect users’ attitudes toward participating in a blog.
H3d Trust will positively affect users’ attitudes toward participating in a blog.
H3e Expected relationships will positively affect users’ attitudes toward participating in a blog.
Social influence factors
H4a Social norm will positively affect users’ intentions to participate in a blog.
H4b Community identification will positively affect users’ intentions to participate in a blog.
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METHODOLOGY (1/4)
Sample為增加參與者的回應率,在 10大留言版上設置留言維期 2 個月,有填寫問卷者,有 30名機會可獲得 100元圖書禮卷作為獎賞
為避免重覆填寫,過濾相同 IP的資料最後有效問卷有 212個可用的回應
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METHODOLOGY (4/4)
Each item was measured on a five-point Likert scale, ranging from ‘‘disagree strongly’’ (1) to ‘‘agree strongly’’ (5). 10
RESULT (2/6)
Analytic strategy for assessing the model The proposed model was evaluated using SEM
with an estimation of the two components of a causal model: measurement and structural models.
LISREL 8.7 was the software used to assess the measurement and the structural models.
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RESULT (3/6)
The measurement model The measurement model was tested using CFA. The initial assessment of the model indicated
that some items should be removed.
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CONCLUSION
Ease of use and enjoyment appeared to be important variables in the context of blogs.
Altruism and reputation, affected a user’s attitude, while other knowledge sharing motivation factors had no significant effect.
The social viewpoints showed that blog participants gain a sense of belonging.
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