Power of Sentiment Expressions on Peer-to-Peer Rental Platforms: A Mixed-Method Approach

Author:

Zhang Xi1,Wei Xin1ORCID,Zhang Te1,Liang Sai2ORCID,Ma Yao1,Law Rob3

Affiliation:

1. College of Management and Economics, Tianjin University, Tianjin, China

2. College of Tourism and Service Management, Nankai University, Tianjin, China

3. Asia-Pacific Academy of Economics and Management. Integrated Resort and Tourism Management, Faculty of Business Administration, University of Macau, Macao, S.A.R., China

Abstract

Studies have confirmed the ineffectiveness of sentiment expressions generated by sellers in improving guests’ purchasing intentions. However, how sentiment expressions can influence guest behavior and host performance remains unclear, given the relative importance of seller-generated content in peer-to-peer rental platforms. After collecting data from Airbnb and developing empirical models, this study confirmed that hosts’ sentiment expressions largely benefit from their online performance. This case is especially true when their properties did not receive high-quality negative reviews. To further reveal the mechanism behind this effect, we further conducted two experiments. Results show that trust plays an intermediary role in the relationship between hosts’ sentiment expressions and guests’ purchasing intentions. This work contributes to tourism literature and property owners on peer-to-peer rental platforms in practice.

Funder

Humanities and Social Science Foundation of Ministry of Education of China

National Natural Science Foundation of China

Natural Science Foundation of Tianjin City

One Hundred Talents Program of Nankai University

Fellowship of China Postdoctoral Science Foundation

Publisher

SAGE Publications

Subject

Tourism, Leisure and Hospitality Management,Transportation,Geography, Planning and Development

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