Understanding guests’ distrust of P2P accommodation: A dual-stage analysis using PLS-SEM and fsQCA

Trust is crucial in peer-to-peer (P2P) housing services; they typically include many stages of interactions among hosts and guests in both online and offline situations. However, few explorations have focused on examining the main factors affecting guests' distrust of P2P accommodation. This empirical study presented a more in-depth understanding of how to simulate guests' distrust of P2P accommodation in the UK. The proposed configurational model built upon both complexity theory and fsQCA to test the study hypotheses. Guests' demographics, personal traits, and hosts' attributes represent the three main configurations that predict the causal antecedents of guests' distrust of P2P accommodation. Our model was tested using data collected from 746 P2P guests in the UK. The findings revealed that personal traits (i.e., agreeableness, openness to experience, neuroticism, conscientiousness, extraversion) and hosts' attributes (i.e., ulterior motivation; fake identity) are key drivers of guest distrust towards P2P. The fsQCA results revealed that 5 recipes were valid for attaining high distrust of P2P. Our study offers significant theoretical and managerial implications. The findings underscore the complex nature of consumers trust towards P2P accommodation, suggesting that firms should closely monitor consumers personal traits and hosts’ attributes to improve consumers trust towards P2P accommodation.

Authors

Institutions

Publication Details

Journal
Journal of Hospitality and Tourism Management
Published
2026-01-02
DOI
https://doi.org/10.1016/j.jhtm.2025.101390
Citations
2
Primary Topic
Sharing Economy and Platforms
Type
article
Field-Weighted Citation Impact
156.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding guests’ distrust of P2P accommodation: A dual-stage analysis using PLS-SEM and fsQCA

Gomaa Agag, Mohamed M. Elsotouhy, Mohamed A. Khashan, Mohamed Abdelwahab et al.
2 citations
Journal of Hospitality and Tourism Management
Sharing Economy and Platforms
156.22
article

Understanding guests’ distrust of P2P accommodation: A dual-stage analysis using PLS-SEM and fsQCA

Gomaa Agag, Mohamed M. Elsotouhy, Mohamed A. Khashan, Mohamed Abdelwahab, Mohamed A. Ghonim, Thouraya Gherissi Labben
article en
2 citations

Abstract

Trust is crucial in peer-to-peer (P2P) housing services; they typically include many stages of interactions among hosts and guests in both online and offline situations. However, few explorations have focused on examining the main factors affecting guests' distrust of P2P accommodation. This empirical study presented a more in-depth understanding of how to simulate guests' distrust of P2P accommodation in the UK. The proposed configurational model built upon both complexity theory and fsQCA to test the study hypotheses. Guests' demographics, personal traits, and hosts' attributes represent the three main configurations that predict the causal antecedents of guests' distrust of P2P accommodation. Our model was tested using data collected from 746 P2P guests in the UK. The findings revealed that personal traits (i.e., agreeableness, openness to experience, neuroticism, conscientiousness, extraversion) and hosts' attributes (i.e., ulterior motivation; fake identity) are key drivers of guest distrust towards P2P. The fsQCA results revealed that 5 recipes were valid for attaining high distrust of P2P. Our study offers significant theoretical and managerial implications. The findings underscore the complex nature of consumers trust towards P2P accommodation, suggesting that firms should closely monitor consumers personal traits and hosts’ attributes to improve consumers trust towards P2P accommodation.

Journal of Hospitality and Tourism ManagementVol. 66
Mansoura University (EG), United Arab Emirates University (AE), Imam Mohammad ibn Saud Islamic University (SA), University of Sadat City (EG), Oxford BioMedica (United Kingdom) (GB), Nottingham Trent University (GB)
Sustainable cities and communities
Openalex Percentile: Top 0%
Sharing Economy and Platforms
156.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Understanding guests’ distrust of P2P accommodation: A dual-stage analysis using PLS-SEM and fsQCA — Gomaa Agag, Mohamed M. Elsotouhy, et al. · Journal of Hospitality and Tourism Management (2026) | TGRS Research Map | TGRS