TY - JOUR
T1 - How Electronic Word of Mouth Matters in Peer-to-Peer Accommodation
T2 - The Role of Price and Responsiveness
AU - Liu, Fuzhen
AU - Lai, Kee hung
AU - Wu, Jiang
AU - Luo, Xin
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (grant numbers: 71874131; 72132007) and the key project of philosophy and social science research of the Ministry of Education of China (grant number: 20JZD024).
Publisher Copyright:
© 2022 Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - Under information asymmetry, electronic word of mouth (eWOM) is crucial to understanding customer experience in peer-to-peer (P2P) accommodation. However, the topics of what dimensions are included in eWOM and how these dimensions determine sales performance from a contingency perspective remain starkly underinvestigated. Drawing upon trust transfer theory and signaling theory, we identify two eWOM dimensions (i.e., listing-based eWOM and host-based eWOM) and examine their interactions with price and responsiveness on sales performance. Using objective data from Xiaozhu.com, a leading accommodation-sharing platform in China, we apply machine learning algorithms and economic analysis to illustrate customer behavior. Our results indicate that the valence of listing-based eWOM and that of host-based eWOM are positively associated with sales performance. Compared with listing-based eWOM, host-based eWOM exerts a more decisive influence on sales performance. Notably, the relationship between the valence of listing-based eWOM (host-based eWOM) and sales performance is weakened (strengthened) by listing price (host’s responsiveness). These findings provide helpful managerial insights for service strategies and policy actions to improve the accommodation-sharing economy.
AB - Under information asymmetry, electronic word of mouth (eWOM) is crucial to understanding customer experience in peer-to-peer (P2P) accommodation. However, the topics of what dimensions are included in eWOM and how these dimensions determine sales performance from a contingency perspective remain starkly underinvestigated. Drawing upon trust transfer theory and signaling theory, we identify two eWOM dimensions (i.e., listing-based eWOM and host-based eWOM) and examine their interactions with price and responsiveness on sales performance. Using objective data from Xiaozhu.com, a leading accommodation-sharing platform in China, we apply machine learning algorithms and economic analysis to illustrate customer behavior. Our results indicate that the valence of listing-based eWOM and that of host-based eWOM are positively associated with sales performance. Compared with listing-based eWOM, host-based eWOM exerts a more decisive influence on sales performance. Notably, the relationship between the valence of listing-based eWOM (host-based eWOM) and sales performance is weakened (strengthened) by listing price (host’s responsiveness). These findings provide helpful managerial insights for service strategies and policy actions to improve the accommodation-sharing economy.
KW - eWOM
KW - online sales performance
KW - P2P accommodation
KW - peer-to-peer e-commerce
KW - sharing economy
KW - signaling theory
KW - trust transfer
UR - http://www.scopus.com/inward/record.url?scp=85129394365&partnerID=8YFLogxK
U2 - 10.1080/10864415.2022.2050581
DO - 10.1080/10864415.2022.2050581
M3 - Journal article
AN - SCOPUS:85129394365
SN - 1086-4415
VL - 26
SP - 174
EP - 199
JO - International Journal of Electronic Commerce
JF - International Journal of Electronic Commerce
IS - 2
ER -