The influence of online host–guest interaction on listing popularity in peer-to-peer accommodation: the role of listing price and reputation

Fuzhen Liu, Kee hung Lai, Chaocheng He

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Purpose: To promote the success of peer-to-peer accommodation, this study examines the effects of online host–guest interaction as well as the interaction's boundary conditions of listing price and reputation on listing popularity. Design/methodology/approach: Using 330,686 data collected from Airbnb in the United States of America, the authors provide empirical evidence to answer whether social-oriented self-presentation and response rate influence listing popularity from the perspective of social exchange theory (SET). In addition, the authors investigate how these two kinds of online host–guest interactions work with listing price and reputation to influence listing popularity. Findings: The results reveal the positive association between online host–guest interaction and listing popularity. Notably, the authors find that listing price strengthens but listing reputation weakens the positive effects of online host–guest interactions on listing popularity in peer-to-peer accommodation. Originality/value: This study is the first attempt to adopt SET to explain the importance of online host–guest interactions in influencing listing popularity as well as examine the moderating role of listing price and reputation on the above relationship.

Original languageEnglish
JournalInformation Technology and People
DOIs
Publication statusAccepted/In press - 2023

Keywords

  • Host–guest interaction
  • Online reputation
  • Peer-to-peer accommodation
  • Self-presentation
  • Social exchange theory

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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