An Analysis of Customer E-Complaints about Hotel Enterprises

Purpose –The aim of the current study is to investigate the reflections of hotel guests' complaints on web-based customer-opinion forums. For this purpose, negative guest reviews about 4-and 5-star hotel establishments were examined through Tripadvisor.com, which is a tourism-related social media platform and the world's largest travel site. The complaint's main themes and their sub-themes that caused the comments were also identified.Design/methodology/approach –In the study, the content analysis method was employed as a qualitative approach. In the scope of the research, all reviews in all languages against all 4-and 5-star hotels in Konya posted to Tripadvisor.com were investigated. The content analysis was conducted by the MAXQDA 2020 program. The data were also described in termsof frequency and percentage using descriptive statistics.Findings –According to the results of the study, male guests were more unhappy with the hotels than female ones. The majority (33,6%) of the e-complaints from guests had to do with the hotels' food and beverage offerings, especially the quality and variety of the food and beverages.Discussion –Customer satisfaction is very important in the hotel industry. Swiftly, effectively, and professionally resolving problems can help to avoid unfavorable reviews and comments from guests. In this respect, hotel management can adopt a number of proactive measures to reduce the spreading of negative word-of-mouth on social media and travel websites.

Authors

Publication Details

Journal
Journal of Business Research - Turk
Published
2024-12-29
DOI
https://doi.org/10.20491/isarder.2024.1903
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Analysis of Customer E-Complaints about Hotel Enterprises

Gamze Temizel, Erkan Akgöz
1 citations
Journal of Business Research - Turk
Technology Adoption and User Behaviour
1.05
article

An Analysis of Customer E-Complaints about Hotel Enterprises

Gamze Temizel, Erkan Akgöz
article en
1 citations

Abstract

Purpose –The aim of the current study is to investigate the reflections of hotel guests' complaints on web-based customer-opinion forums. For this purpose, negative guest reviews about 4-and 5-star hotel establishments were examined through Tripadvisor.com, which is a tourism-related social media platform and the world's largest travel site. The complaint's main themes and their sub-themes that caused the comments were also identified.Design/methodology/approach –In the study, the content analysis method was employed as a qualitative approach. In the scope of the research, all reviews in all languages against all 4-and 5-star hotels in Konya posted to Tripadvisor.com were investigated. The content analysis was conducted by the MAXQDA 2020 program. The data were also described in termsof frequency and percentage using descriptive statistics.Findings –According to the results of the study, male guests were more unhappy with the hotels than female ones. The majority (33,6%) of the e-complaints from guests had to do with the hotels' food and beverage offerings, especially the quality and variety of the food and beverages.Discussion –Customer satisfaction is very important in the hotel industry. Swiftly, effectively, and professionally resolving problems can help to avoid unfavorable reviews and comments from guests. In this respect, hotel management can adopt a number of proactive measures to reduce the spreading of negative word-of-mouth on social media and travel websites.

Journal of Business Research - Turk
Decent work and economic growth
Openalex Percentile: Top 11%
Technology Adoption and User Behaviour
1.05
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.