Hitting the Sweet Spot: How Optimal Arousal Enhances Adventurous Experiences in Glamping

Glamping combines the wilderness of camping with the luxury of hospitality. This study explains customer satisfaction strategies in glamping using the concepts of sensory marketing and Optimal Arousal Theory. Travelers’ reviews were collected from Booking.com, which led to a total of 110,098 reviews from 25 countries. Structural topic modeling was performed to reveal important themes separately for satisfaction and dissatisfaction in glamping. The study highlights the impact of camp location, accommodation comfort, traveler experience, and staff behavior as determinants of satisfaction. Stay duration and traveler type act as moderators for glamping satisfaction. In addition, the results reveal a concave relationship between traveler emotions and customer satisfaction. Some important practical implications are key areas for managing traveler satisfaction as two categories: hard and soft aspects of glamping. While hard aspects are related to accommodation, they are highly capital intensive and difficult to change in a short duration. On the other hand, soft aspects are related to human factors that are relatively easier to modify. The originality of our study lies in the identification of dissatisfaction as not a mere lack of features but due to factors distinct from those of satisfaction.

Authors

Institutions

Publication Details

Journal
Tourism Analysis
Published
2025-06-17
DOI
https://doi.org/10.3727/108354225x17401276776462
Primary Topic
Consumer Behavior in Brand Consumption and Identification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hitting the Sweet Spot: How Optimal Arousal Enhances Adventurous Experiences in Glamping

Pooja Sengupta, Arindra Nath Mishra, Baidyanath Biswas
1 links
Tourism Analysis
Consumer Behavior in Brand Consumption and Identification
article

Hitting the Sweet Spot: How Optimal Arousal Enhances Adventurous Experiences in Glamping

Pooja Sengupta, Arindra Nath Mishra, Baidyanath Biswas
article en

Abstract

Glamping combines the wilderness of camping with the luxury of hospitality. This study explains customer satisfaction strategies in glamping using the concepts of sensory marketing and Optimal Arousal Theory. Travelers’ reviews were collected from Booking.com, which led to a total of 110,098 reviews from 25 countries. Structural topic modeling was performed to reveal important themes separately for satisfaction and dissatisfaction in glamping. The study highlights the impact of camp location, accommodation comfort, traveler experience, and staff behavior as determinants of satisfaction. Stay duration and traveler type act as moderators for glamping satisfaction. In addition, the results reveal a concave relationship between traveler emotions and customer satisfaction. Some important practical implications are key areas for managing traveler satisfaction as two categories: hard and soft aspects of glamping. While hard aspects are related to accommodation, they are highly capital intensive and difficult to change in a short duration. On the other hand, soft aspects are related to human factors that are relatively easier to modify. The originality of our study lies in the identification of dissatisfaction as not a mere lack of features but due to factors distinct from those of satisfaction.

Tourism AnalysisVol. 30(4)
Management Development Institute (IN), University of Auckland (NZ), Trinity College Dublin (IE)
Openalex Percentile: Top 83%
Consumer Behavior in Brand Consumption and Identification
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.