| 研究生: |
區秀靈 Oncheunjit, Marisa |
|---|---|
| 論文名稱: |
Measuring Success of Virtual Communities for Traffic Information: A Comparative Study of Multi-Channel Information Communities and Community-based Application Measuring Success of Virtual Communities for Traffic Information: A Comparative Study of Multi-Channel Information Communities and Community-based Application |
| 指導教授: |
陳正忠
Chen, Victor |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 國際經營管理研究所 Institute of International Management |
| 論文出版年: | 2018 |
| 畢業學年度: | 106 |
| 語文別: | 英文 |
| 論文頁數: | 96 |
| 外文關鍵詞: | Virtual communities, Relational capital, Traffic information, IS success, Dedication-based mechanism, Continuance intention, Information exchange, Commitment |
| 相關次數: | 點閱:72 下載:1 |
| 分享至: |
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As traffic information is important information for commuters nowadays to their daily life planning. People can meet unexpected situations on the roads anywhere at any time. Therefore, the traffic information is one of the information types that many people share, consume or exchange throughout various online platforms.
This study aims to understand what makes such virtual communities success or sustainable by comparing 2 different paradigms One is the multi-channel traffic information community who has been specialized in traffic information for many years and has adopted several kinds of social media to engage with their audience and another paradigm is a community-based traffic application who created an application to help people exchange and contribute traffic information with real-time navigation. Their success will be measured by the theory of IS success and social capital through out dedication-based commitment mechanism. The data was collected through online questionnaires from 2 platforms: JS 100 which is traffic information community that utilized various media types to provide traffic information and receive the reported traffic information from their audience. Another platform is Waze which is a navigation application that can re-route automatically after the newly uncovered traffic information is reported in order to bring the users to the destination right in time. The findings show that the effect of satisfaction and affective commitment are not much different between two platforms while their antecedents play different roles in forming satisfaction and affective commitment due to their different nature and characteristics. These findings suggest that the information quality and service quality of the platform are crucial to the traffic information virtual communities across platforms while system quality was found significant for community-based application only
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