Do managerial responses influence traveller retention?

With the growing influence of travel review platforms, management responses to online reviews have gained increasing relevance for hotel online reputation management. While previous research has explored the impact of responding on subsequent ratings, there is limited understanding of how response characteristics influence guests’ decision to revisit, particularly for initially satisfied versus dissatisfied customers. This study investigates the influence of five key response attributes — response length, diversity, personalisation (topic consistency between the review and response), linguistic style matching (LSM), and sentiment polarity — on customer retention (revisit decision). Using review and response data from over 1,000 hotels on TripAdvisor, we employ text analysis to categorise response attributes and assess their effect on guest retention. Our findings reveal that response length, diversity, LSM, and sentiment positively influence customer retention. However, while response length, LSM, and diversity have a stronger positive impact on satisfied customers, they may negatively affect dissatisfied guests. Additionally, topic personalisation is found to have a negative influence, particularly among dissatisfied travellers. These insights offer practical guidance for hotel managers on writing responses that enhance customer retention by adopting an effective linguistic style.

Authors

Institutions

Publication Details

Journal
Tourism Management
Published
2025-07-18
DOI
https://doi.org/10.1016/j.tourman.2025.105243
Citations
2
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
8.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do managerial responses influence traveller retention?

Ravi Ranjan, Badr-Eddine Lahsini, Agnès Gorge
2 citations
Tourism Management
Digital Marketing and Social Media
8.40
article

Do managerial responses influence traveller retention?

Ravi Ranjan, Badr-Eddine Lahsini, Agnès Gorge
article en
2 citations

Abstract

With the growing influence of travel review platforms, management responses to online reviews have gained increasing relevance for hotel online reputation management. While previous research has explored the impact of responding on subsequent ratings, there is limited understanding of how response characteristics influence guests’ decision to revisit, particularly for initially satisfied versus dissatisfied customers. This study investigates the influence of five key response attributes — response length, diversity, personalisation (topic consistency between the review and response), linguistic style matching (LSM), and sentiment polarity — on customer retention (revisit decision). Using review and response data from over 1,000 hotels on TripAdvisor, we employ text analysis to categorise response attributes and assess their effect on guest retention. Our findings reveal that response length, diversity, LSM, and sentiment positively influence customer retention. However, while response length, LSM, and diversity have a stronger positive impact on satisfied customers, they may negatively affect dissatisfied guests. Additionally, topic personalisation is found to have a negative influence, particularly among dissatisfied travellers. These insights offer practical guidance for hotel managers on writing responses that enhance customer retention by adopting an effective linguistic style.

Tourism ManagementVol. 112
Université Mohammed VI Polytechnique (MA)
Openalex Percentile: Top 3%
Digital Marketing and Social Media
8.40
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.

Do managerial responses influence traveller retention? — Ravi Ranjan, Badr-Eddine Lahsini, et al. · Tourism Management (2025) | TGRS Research Map | TGRS