Abstract

Currently, sharing economy business models play a significant role in the economy (Quang, 2021). The emergence of such models has generated new business opportunities, such as Airbnb and Uber, which are well-known global leisure businesses (Lee et al., 2021; Tseng & Chan, 2021). Using binary regression analysis, this study investigated the factors influencing the leisure business-sharing economy in Thailand. Since there are few studies on the sharing economy in Thailand, this research could be beneficial to Thai sharing economy leisure enterprises. The findings revealed that the sharing economy (online music — Spotify) could be described using Twitter and Line. The sharing economy (online accommodation — Airbnb) could be described using Facebook, Twitter, and YouTube. The sharing economy (online taxi service — Grab) could be described by being a student and Line. Because more service providers will appear, businesses must adapt significantly, and everyone has an equal opportunity to enter the sharing economy through simple and easy social media. To strengthen community cooperation, create a sense of security and peace of mind, and reduce the gap in consumption of goods and services in the sharing economy, comprehensive and consistent relevant laws are required for the development of the next phase in resource sharing.

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