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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/114181

    Title: 探討共享經濟潛在顧客交易前之信任基礎 : 以Airbnb為例
    Other Titles: Explore the trust basis of potential customers before transacting in the sharing economy : the case of Airbnb
    Authors: 于璇;Yu, Hsuan
    Contributors: 淡江大學國際企業學系碩士班
    Keywords: 共享經濟;交易成本理論;社會交換理論;信任;Airbnb;The Sharing Economy;Transaction Cost Economics;Social exchange theory;Trust
    Date: 2017
    Issue Date: 2018-08-03 14:44:12 (UTC+8)
    Abstract: Airbnb在全球的崛起,喚起社會對共享經濟企業的重視。Airbnb的商業模式主要建立在與陌生人間的信任,然而道德風險的發生便是造成房東與房客之間信任破滅的主要原因,連帶出現許多使用Airbnb所產生的社會問題,導致未來使用者對於其現有的信任機制產生諸多質疑的聲音。



    (一) 潛在顧客的信任基礎主要建立在熟悉基礎與計算基礎之上。熟悉基礎的建立主要是由於潛在顧客在過去使用其他網路訂房所學習到的經驗,相對地影響到其用同樣的方式在評估Airbnb信任機制是否可以有效率地解決其所認知的道德風險問題。即便有熟悉基礎作參考,潛在顧客最終仍會透過計算基礎去影響其的決策。

    (二) 潛在顧客信任的情況受到內外控特質的影響。整體面來看,具有外在控制源的潛在顧客較具內在控制源的潛在顧客易轉變成Airbnb的平台顧客。
    Because Airbnb has arisen worldwide, it arouses people treat sharing economy enterprises more seriously. Airbnb’s business model has built upon the trust between strangers. The causes of moral hazard, however, are the essential reasons that hosts and guests break up the trust, and in turn appears a great many social problems. Because of that, potential guests doubt that whether Airbnb’s current trust mechanism could effectively protect their safety when they choose using Airbnb to live in a stranger’s house.

    This study applies qualitative method of focus group, interviewing with potential guests who have heard Airbnb before but not used Airbnb yet. Meanwhile, we adopt content analysis to explore the degrees to which the potential guests has acknowledged the moral hazard before making decisions, and to which potential guests has been persuaded by Airbnb’s current trust mechanism. Then, interpretive method has been used to infer what the trust bases upon which potential guests build are, and explain whether the trust mechanism could increase potential guests’ using willingness.

    Conclusions of this research are as follows.

    1.Potential guests’ trust bases are mainly built upon the knowledge-based trust and the calculative-based trust. Knowledge-based trust is due to potential guests’ learning from previous experience based on using other similar accommodation-booking website, leading them to use similar ways to assess whether Airbnb’s trust mechanism could effectively solve acknowledged moral hazard problems. Despite the reference of knowledge-based trust, potential guests eventually make decisions with the reference of calculative-based trust.

    2.The trust situations among potential guests are affected by locus of control. Overall, potential guests with external locus of control seem more easily to become Airbnb’s guests than potential guests with internal locus of control.
    Appears in Collections:[Graduate Institute & Department of International Business] Thesis

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