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<p>Sharing economy platforms facilitate resource-task matching. However, many users bypass these platforms when carrying out transactions, reducing platform revenue and threatening their sustainability. Drawing upon social exchange theory, this study employed a sequential mixed-methods design to understand platform bypass behavior. First, 30 semi-structured interviews were conducted to identify key antecedents, including perceived risk, perceived benefit, and relevant personality traits. Based on these findings, a theoretical model and hypotheses were developed and tested using survey data. To further validate the results, 20 follow-up semi-structured interviews were conducted and analyzed. The results indicate that perceived risk, trust, and perceived benefit were significantly associated with bypass intention. Moral disengagement, as a personality trait, also related to this intention. In addition, situational factors shaped perceived risk, and different types of perceived benefit drove bypass behavior. This study advances the understanding of platform bypass behavior and offers managerial insights for sustaining sharing economy ecosystems.</p>

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To bypass or not? a mixed-methods investigation of users’ platform bypass intention in peer-to-peer accommodation

  • 期刊论文

  • 发表日期：

    2026年7月28日

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  • Ling Pan,
  • Tingting Hou,
  • Jie Sun,
  • Keke Hou

摘要

Sharing economy platforms facilitate resource-task matching. However, many users bypass these platforms when carrying out transactions, reducing platform revenue and threatening their sustainability. Drawing upon social exchange theory, this study employed a sequential mixed-methods design to understand platform bypass behavior. First, 30 semi-structured interviews were conducted to identify key antecedents, including perceived risk, perceived benefit, and relevant personality traits. Based on these findings, a theoretical model and hypotheses were developed and tested using survey data. To further validate the results, 20 follow-up semi-structured interviews were conducted and analyzed. The results indicate that perceived risk, trust, and perceived benefit were significantly associated with bypass intention. Moral disengagement, as a personality trait, also related to this intention. In addition, situational factors shaped perceived risk, and different types of perceived benefit drove bypass behavior. This study advances the understanding of platform bypass behavior and offers managerial insights for sustaining sharing economy ecosystems.