Topic modeling in hospitality and tourism research: Application areas, business insights, and managerial implications

Purpose – Topic modeling (TM) explores customer experience and behaviors from large volumes of textual data, such as online reviews uncovering (dis)satisfaction cues often overlooked by hospitality managers. Despite its potential, TM application in hospitality research is limited compared to other...

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Main Author: Olivera Grljević
Format: Article
Language:English
Published: University of Kragujevac, Faculty of Hotel Management and Tourism in Vrnjačka Banja 2025-08-01
Series:Mенаџмент у хотелијерству и туризму
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Online Access:https://www.htmanagementvb.com/index.php/HITM/article/view/348
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author Olivera Grljević
author_facet Olivera Grljević
author_sort Olivera Grljević
collection DOAJ
description Purpose – Topic modeling (TM) explores customer experience and behaviors from large volumes of textual data, such as online reviews uncovering (dis)satisfaction cues often overlooked by hospitality managers. Despite its potential, TM application in hospitality research is limited compared to other social science methods. This paper aims to investigate the scope of TM research in the hospitality domain and contribute to the understanding of the areas where it can be effectively applied, the purposes it can serve, and the types of problems it can address. Methodology – The research methodology is rooted in the systematic literature review – 40 relevant papers were collected and analysed to identify the areas of hospitality where TM is mostly applied, business insights derived from TM application, and commonly utilised TM approaches. Findings – TM research in hospitality is conducted in five research areas: accommodation and lodging, food and beverages, attractions and events, nature-based tourism, and travel services. Researchers apply TM to gain nine different business insights, such as dissatisfaction drivers, segment-based preferences, sentiments, preference changes over time, service quality perception, or underexplored areas. Implications – TM-based research provides actionable recommendations for the enhancement of managerial practices within the hospitality industry, such as promotion and destination management, service improvements, and reduction of overtourism.
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institution Kabale University
issn 2620-0279
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language English
publishDate 2025-08-01
publisher University of Kragujevac, Faculty of Hotel Management and Tourism in Vrnjačka Banja
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series Mенаџмент у хотелијерству и туризму
spelling doaj-art-1b4782088f4443f6b6f2fbea226016312025-08-20T03:36:14ZengUniversity of Kragujevac, Faculty of Hotel Management and Tourism in Vrnjačka BanjaMенаџмент у хотелијерству и туризму2620-02792620-04812025-08-0110.5937/menhottur2500010GTopic modeling in hospitality and tourism research: Application areas, business insights, and managerial implicationsOlivera Grljević0University of Novi Sad, Faculty of Economics in Subotica, Subotica, Serbia Purpose – Topic modeling (TM) explores customer experience and behaviors from large volumes of textual data, such as online reviews uncovering (dis)satisfaction cues often overlooked by hospitality managers. Despite its potential, TM application in hospitality research is limited compared to other social science methods. This paper aims to investigate the scope of TM research in the hospitality domain and contribute to the understanding of the areas where it can be effectively applied, the purposes it can serve, and the types of problems it can address. Methodology – The research methodology is rooted in the systematic literature review – 40 relevant papers were collected and analysed to identify the areas of hospitality where TM is mostly applied, business insights derived from TM application, and commonly utilised TM approaches. Findings – TM research in hospitality is conducted in five research areas: accommodation and lodging, food and beverages, attractions and events, nature-based tourism, and travel services. Researchers apply TM to gain nine different business insights, such as dissatisfaction drivers, segment-based preferences, sentiments, preference changes over time, service quality perception, or underexplored areas. Implications – TM-based research provides actionable recommendations for the enhancement of managerial practices within the hospitality industry, such as promotion and destination management, service improvements, and reduction of overtourism. https://www.htmanagementvb.com/index.php/HITM/article/view/348topic modelingnatural language processinghospitalityuser-generated content
spellingShingle Olivera Grljević
Topic modeling in hospitality and tourism research: Application areas, business insights, and managerial implications
Mенаџмент у хотелијерству и туризму
topic modeling
natural language processing
hospitality
user-generated content
title Topic modeling in hospitality and tourism research: Application areas, business insights, and managerial implications
title_full Topic modeling in hospitality and tourism research: Application areas, business insights, and managerial implications
title_fullStr Topic modeling in hospitality and tourism research: Application areas, business insights, and managerial implications
title_full_unstemmed Topic modeling in hospitality and tourism research: Application areas, business insights, and managerial implications
title_short Topic modeling in hospitality and tourism research: Application areas, business insights, and managerial implications
title_sort topic modeling in hospitality and tourism research application areas business insights and managerial implications
topic topic modeling
natural language processing
hospitality
user-generated content
url https://www.htmanagementvb.com/index.php/HITM/article/view/348
work_keys_str_mv AT oliveragrljevic topicmodelinginhospitalityandtourismresearchapplicationareasbusinessinsightsandmanagerialimplications