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This study highlights the potential of data-driven analytics in the sharing economy. By analyzing both supply and demand using data such as search rank and rental history, it presents a holistic approach to understanding market activities in peer-to-peer sharing markets by focusing on market gaps as well as market dynamics. The developed framework is accessible, adaptable, and links theoretical concepts with real-world applications.

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Understanding Market Behavior in the Sharing Economy – Insights from Analysis of a Sharing Platform’s Consumer Data

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  • 发表日期：

    2025年

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  • Adriana Ricklin,
  • Guang Lu,
  • Dominik Georgi

摘要

This study highlights the potential of data-driven analytics in the sharing economy. By analyzing both supply and demand using data such as search rank and rental history, it presents a holistic approach to understanding market activities in peer-to-peer sharing markets by focusing on market gaps as well as market dynamics. The developed framework is accessible, adaptable, and links theoretical concepts with real-world applications.