在電腦和網路逐漸普及化之後，隨者人們對網路使用依賴越來越深下，虛擬社群逐漸產生。隨者資訊科技越來越進步下，搜尋引擎如Google功能如此發達下，資訊的取得已經越來越容易，使用者對資訊的需求可以簡單地被滿足，取而代之的是，使用者能否可以找到有中介可以有系統、組織管理這些資訊，而成為知識。因此，在眾多使用者有此需求下，虛擬社群逐漸讓使用者彼此分享交流資訊，並且有系統地整理並編排資訊成為知識，而讓眾多使用者逐漸仰賴虛擬社群成為解決問題的地方也就是知識社群。
知識社群中的數量和品質對於知識社群的發展則非常重要，但知識的分享並非為自發行為，成員間受到眾多因素所影響，因此需要外在因素去促發社群內成員間知識分享行為為知識社群內重要的議題。
因此本研究運用符號聚合理論和衝突理論來按討知識社群內知識品質和知識分享行為，從完整的角度來彌補過去文獻的不足，過去文獻皆以單一角度(宏觀或微觀)來探討虛擬社群內的知識分享，鮮少以兩種角度來完整探討，本研究認為用完整性的兩種角度來完整性的探討知識社群，並同時呈現對社群內個人互動與整體現象的探討，彌補單一角度的不足。
本研究以資訊科技的知識社群為母體來發放問卷，共回收359份有效問卷。透過結構方程式來進行資料分析，研究結果發現社群中的共享語言程度越高對成員間的共享情感與願景、社群意識、知識品質、持續知識分享行為有顯著性的正面影響；而知識品質對社群意識與持續知識分享行為有顯著性的正面影響結果，本研究最後針對研究結果提出學術上與實務上的貢獻給社群管理者參考，也提供了未來研究方向留待未來延伸。

As a result of recent advancements in technology and the Internet, people now rely on the Internet and search engines such as Google more than ever before. It is very convenient to get information, so users can be easily satisfied. The key issue now is finding a method by which to manage this information systematically and in an organized way. Therefore, virtual communities have been developed for the purpose of providing useful platforms by which users can obtain information and transform it into knowledge, and this is how a knowledge community works.
It is very important to develop knowledge communities because of their quality and the quantity of information that can be made available. However, knowledge sharing may not happen by itself. Actually, it depends on many factors including external factors that will stimulate members to share their knowledge, which is a key issue related to community knowledge.
First of all, some studies have only claimed one position on either side of this issue (either the Micro view or the Macro view), but my study focus on the application of Symbolic Convergence Theory and Conflict Theory and aim to explore the topic of community knowledge with both the Micro view and Macro view.
In this research, a total of 359 questionnaires are distributed. By applying structural equation modeling to analyze the data, the study shows that both shared language and shared emotional connection have a positive influence on both the quality and quantity of knowledge. Also, a sense of community is found to positively influence knowledge sharing behavior in a community. In conclusion, this study provides academic and useful suggestions for reference and the further research directions for extension.

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