隨著智慧型手機行動上網與定位系統的普及化，由於定位性服務Apps具方便且快速的搜尋特性，觸控手機螢幕即可以找附近是否有所須的服務(如:餐廳、銀行等)，因此定位性服務Apps已成為使用者新型態的資訊查詢工具。目前定位性服務Apps之評論者大部份以匿名呈現，本研究為了增進評論內容的有效性與可信度，採用共存理論(Co-presence theory)，探討定位性服務Apps與社群網絡(SNSs)連結後，從原本的匿名評論變成揭露自身的社群身分，對使用者感知的來源可信度、共存感及評論價值是否會造成影響。本研究共蒐集426份有效網路問卷，以結構方程模型(SEM)進行計量分析與假設檢定。資料分析結果顯示，評論者因素對來源可信度皆呈現顯著正向影響；存在感中的具體化形象與社會存在感對共存感亦呈顯著正向影響;來源可信度與共存感皆對定位性服務Apps評論價值有正向影響效果。此外，在評論的內文品質對來源可信度、共存感與評論價值之間沒有干擾效果，而在來源可信度與評論價值之間卻有中介效果。最後，本研究建議行動商務業者在開發定位性服務Apps時，必須提升使用者的信任感與其評論價值，可以將其評論與社群網絡作連結。此外，也必須為揭露社群身分後可能造成的隱私問題提供解決方案，讓使用者能在不顧忌自身隱私問題之下，可獲得所須的資訊且願意留言與評論，以提升定位性服務Apps的普及率，並增益行動業者之利潤。

With the popularization of wireless networks and global positioning system (GPS) applications, the features of location-based service (LBS) apps, such as convenience and speed, have become the newest information search tools. Users only need to touch their smartphone screens to find the nearby services they’re searching for (e.g. restaurants, banks, and etc.). Current review systems for LBS apps are mostly anonymous. This study adopts co-presence theory to explore that whether linking LBS apps with SNSs can enhance the value of LBS reviews. 426 valid questionnaires were collected by using an online-based survey. The structural equation model (SEM) was adopted for data analysis. The results indicated that messenger factors have positive effects on source credibility; sense of presence also has positive effects on co-presence with the exception of telepresence. Source credibility and co-presence both have positive effects on the value of LBS reviews. In addition, content quality doesn’t have a moderating effect, but the relationship between source credibility and the value of LBS reviews is partially mediated by content quality. This study suggested that LBS apps developers should link LBS apps with SNSs. It would enhance the source credibility of information and in turn earn users’ trust and their perception of the value of LBS reviews. LBS apps developers also have to be aware of privacy concerns once reviewers disclose their identities so reviewers can review without any concern. Thus, developers will be able to upgrade the penetration rate of LBS apps and increase their profits.

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