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The more we get together, the more we can save? A transaction cost perspective

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  • Li, Chia-Ying
  • Fang, Yu-Hui

Abstract

Although sharing is not a new subject, sharing behavior enabled by peer-to-peer software technologies is a recent phenomenon. Studies have explored the impact of the sharing economy on consumers by applying the theory of planned behavior, complexity theory, and social exchange theory, but few studies have explored transaction costs in the sharing economy. By integrating network externalities with transaction cost theory, this study explores transaction costs and their determinants in the context of the sharing economy. Structural equation modeling analysis was conducted on data from 375 users of Airbnb. The findings indicate that personalization of asset specificity and transaction frequency negatively influence transaction costs. Additionally, learning of asset specificity and transaction uncertainty positively affects transaction costs, which in turn influence behavioral intention. Furthermore, perceived complementarity has a direct effect on transaction uncertainty. Finally, the number of users moderates the relationship between transaction costs and behavioral intention. This understanding will assist managers in numerous industries impacted by the rapid development of the sharing economy by providing them with strategies for coping with this trend.

Suggested Citation

  • Li, Chia-Ying & Fang, Yu-Hui, 2022. "The more we get together, the more we can save? A transaction cost perspective," International Journal of Information Management, Elsevier, vol. 62(C).
  • Handle: RePEc:eee:ininma:v:62:y:2022:i:c:s0268401221001274
    DOI: 10.1016/j.ijinfomgt.2021.102434
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    Citations

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    Cited by:

    1. Nguyen, Phuong Ngoc-Duy & Nguyen, Huan Hong, 2024. "Unveiling the link between digital entrepreneurship education and intention among university students in an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. Dammak, Wael & Hamad, Salah Ben & de Peretti, Christian & Eleuch, Hichem, 2023. "Pricing of European currency options considering the dynamic information costs," Global Finance Journal, Elsevier, vol. 58(C).
    3. Yanling Yang & Yanling Zheng & Guojie Xie & Yu Tian, 2022. "The Influence Mechanism of Strategic Partnership on Enterprise Performance: Exploring the Chain Mediating Role of Information Sharing and Supply Chain Flexibility," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    4. Haifeng Zhao & Nosherwan Khaliq & Chunling Li & Judit Oláh, 2024. "In quest of perceived transaction cost’s impact on fintech users’ intention: the moderating role of situational factors," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    5. Xinyi Lyu & Tiaojun Xiao & Jingquan Li, 2024. "Evolution of direct network effects: A perspective of market thickness of an online freight platform," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-16, December.
    6. Verma, Anuj & Chakraborty, Debarun & Verma, Meenakshi, 2023. "Barriers of food delivery applications: A perspective from innovation resistance theory using mixed method," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    7. Cicatiello, Lorenzo & De Simone, Elina & Mascio, Fabrizio Di & Gaeta, Giuseppe Lucio & Natalini, Alessandro & Worthy, Ben, 2024. "Response, awareness and requester identity in FOI law: Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 12-30.

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