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The owners of idle assets and their potential users create economic benefits through providing or sharing idle assets or skills, and this process has been formalized and monetized at large scales by companies such as Uber, Airbnb, USpace and others. This research seeks to understand the factors affecting the purchase intention on Airbnb users in terms of five key factors: rating, rating volume, review, information quality, and media richness. ANOVA and path analysis are used to test the relationships of these factors with perceived value, satisfaction and purchase intention. Results indicate that perceived value and satisfaction are key determinants of intention to buy, while rating volume, review, information quality, and media richness are important precursors. In addition, gender and usage experiences with Airbnb are also used to classify the sample to assess the difference between each classification. The results of this study can provide a useful reference to researchers and firms and individuals working in the sharing economy.  相似文献
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Critical approaches to the smart city concept are used to begin highlighting the promises of makerspaces, that is to say, those emerging urban sites that promote sharing practices; exercise community-based forms of governance; and utilize local manufacturing technologies. A bird’s-eye-view of the history of makerspaces is provided tracing their roots back to the hacker movement. Drawing from secondary sources, their community-building, learning and innovation potential is briefly discussed. Makerspaces, this essay argues, can serve as hubs and vehicles for citizen-driven transformation and, thus, play a key part in a more inclusive, participatory and commons-oriented vision of the smart city.  相似文献
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