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標題: | 線上評論社群持續知識分享之預測 Prediction of Continuance Knowledge Sharing in Online Opinion-sharing Communities |
作者: | Yin-An Chen 陳尹安 |
指導教授: | 魏志平 |
關鍵字: | 持續知識分享,持續分享意圖,線上評論社群,行為預測, continuance knowledge sharing,knowledge sharing intention,online opinion-sharing communities,behavior prediction, |
出版年 : | 2013 |
學位: | 碩士 |
摘要: | 過去的文獻指出,存在某些內在或外在因素會影響成員分享知識的意圖,進而產生了「持續分享知識」的行為,而擁有持續且足夠的知識來源是線上社群經營成功與否的關鍵因素。此篇研究的目的為,建立線上評論社群持續知識分享之預測模型。我們嘗試提出客觀的衡量指標來推估某成員的未來是否會持續這樣的行為,利用該成員的資料、信任網路結構、評論行為以及與其他使用者互動情形來預測未來的狀況。此模型可以幫助研究者更進一步了解影響「持續分享知識」行為的重要因素,且能協助線上社群的經營者更有效率地找出對此社群有持續貢獻的成員,並訂定相關策略來提升知識分享的成員數量。實驗數據顯示,我們提出的預測模型有良好的預測能力和穩定度。 Prior works have proposed models based on expected disconfirmation theory and identified several factors that influence behaviors in online communities, such as reputation, relational capital, extrinsic rewards, etc. Instead of conducting a survey to measure users’ attitudes and beliefs in research environment, we observed the actual behavior and relationships of users in veritable opinion-sharing websites - Epinions. The goal of this study is to predict the behavior of individuals continuous share knowledge in online communities. An objective perspective is employed to build a prediction model based on data mining techniques, which was implemented in an idiosyncratic research context exploring the driving factors behind members’ knowledge contributions and the behavior of contributors. It is useful in aiding online community operators in understand the behaviors of their users by in which research to date has offered limited discussion. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61166 |
全文授權: | 有償授權 |
顯示於系所單位: | 資訊管理學系 |
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