Summary: | 碩士 === 國立臺南大學 === 教育學系科技發展與傳播碩士班 === 97 === The purpose of this study was to put forward a concrete module to represent the crucial
factors that affect the intention to share knowledge among the network-based learning
community. Framework of this study was based on Unified Theory of Acceptance and Use of
Technology (UTAUT), and affiliated with the results summarizing from relevant literature.
Five independent variables, “performance expectancy”, “effort expectancy”, “outcome
expectations”, “attainment value”, and “community reward”, and one dependent
variable ”behavioral Intention” were used in the framework.“Influencing factors of
knowledge sharing intention among the network-based learning community” questionnaire
was used as an instrument to collect the data from the skyscrapers community. In total, 754
valid samples were collected. Structural Equation Modeling (SEM) was used to identify the
hypothesis and research framework of this study. The procedure of SEM combined
“reliability and validity analysis”, “confirmatory factor analysis”, “ goodness-of-fit
assessment”, “path moderator” etc.
Results indicated as follows:
1. Knowledge sharing intention of member was positively associated with his performance
expectancy, and their relationship was moderated by “gender” and “experience of using
community”.
2. Knowledge sharing intention of member wasn''t associated with his effort expectancy, and
their relationship wasn''t moderated by “gender” and “experience of using community”.
3. Knowledge sharing intention of member wasn''t associated with his outcome expectancy,
but their relationship was moderated by “gender”.
4. Knowledge sharing intention of member was positively associated with his attainment
value, and their relationship was moderated by “gender” and “experience of using
community”.
5. Knowledge sharing intention of member was positively associated with community
reward, and their relationship was moderated by “gender” and “experience of using
community”.
According to the findings of this study, researcher put forward specific proposals for the
managers among the network-based learning community and follow-up study eventually.
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