Two decades of chatbot research in tourism and hospitality: Bibliometric analysis and future directions

Introduction Over the past two decades, the integration of chatbots in the tourism and hospitality sectors has revolutionised customer service and operational efficiency. This paper offers a comprehensive bibliometric analysis of scholarly research on chatbots within these fields from 2003 to 2023. By analysing 398 documents from 278 sources, the study aims to map the evolution of research, identify prominent themes, and highlight influential collaborative networks and schools of thought. The objective is to provide a thorough overview and outline potential future research directions, offering valuable insights for scholars, practitioners, and policymakers interested in the intersection of technology and tourism.Material and Method This study employs bibliometric analysis to systematically review the research landscape of chatbots in tourism and hospitality over the past twenty years. Data was collected from a total of 398 documents sourced from 278 distinct publications. The analysis was conducted using R software, which facilitated a detailed examination of publication trends, keyword frequencies, citation patterns, and co-authorship networks. Key themes and influential research clusters were identified through co-occurrence analysis and network visualisation techniques, providing a clear picture of the evolution and current state of research in this area.Results The bibliometric analysis reveals several significant trends and patterns in chatbot research within the tourism and hospitality sectors. Over the past two decades, there has been a notable increase in publications, with peaks corresponding to advancements in chatbot technology and its applications. Key research themes include customer interaction, operational efficiency, and the impact of chatbots on user experience. Influential collaborative networks and major schools of thought have been identified, highlighting a shift towards interdisciplinary approaches combining technology, management, and consumer behaviour. The study also reveals gaps in current research and emerging areas ripe for further exploration.Conclusion This study offers a detailed overview of chatbot research in tourism and hospitality from 2003 to 2023, mapping research themes, collaborative networks, and key perspectives. It highlights significant progress and identifies opportunities for further technological and academic exploration. This foundational work serves as a reference for future research and practical applications, guiding scholars, practitioners, and policymakers in integrating chatbots in these industries.

Authors

Institutions

Publication Details

Journal
Sustainable communities.
Published
2025-04-29
DOI
https://doi.org/10.1080/29931282.2025.2496475
Citations
3
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
7.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two decades of chatbot research in tourism and hospitality: Bibliometric analysis and future directions

Muhammad Bilal, Mohamed Aboelmaged, Saadat M. Alhashmi, Mohamed Hashem
3 citations
Sustainable communities.
AI in Service Interactions
7.44
article

Two decades of chatbot research in tourism and hospitality: Bibliometric analysis and future directions

Muhammad Bilal, Mohamed Aboelmaged, Saadat M. Alhashmi, Mohamed Hashem
article en
3 citations

Abstract

Introduction Over the past two decades, the integration of chatbots in the tourism and hospitality sectors has revolutionised customer service and operational efficiency. This paper offers a comprehensive bibliometric analysis of scholarly research on chatbots within these fields from 2003 to 2023. By analysing 398 documents from 278 sources, the study aims to map the evolution of research, identify prominent themes, and highlight influential collaborative networks and schools of thought. The objective is to provide a thorough overview and outline potential future research directions, offering valuable insights for scholars, practitioners, and policymakers interested in the intersection of technology and tourism.Material and Method This study employs bibliometric analysis to systematically review the research landscape of chatbots in tourism and hospitality over the past twenty years. Data was collected from a total of 398 documents sourced from 278 distinct publications. The analysis was conducted using R software, which facilitated a detailed examination of publication trends, keyword frequencies, citation patterns, and co-authorship networks. Key themes and influential research clusters were identified through co-occurrence analysis and network visualisation techniques, providing a clear picture of the evolution and current state of research in this area.Results The bibliometric analysis reveals several significant trends and patterns in chatbot research within the tourism and hospitality sectors. Over the past two decades, there has been a notable increase in publications, with peaks corresponding to advancements in chatbot technology and its applications. Key research themes include customer interaction, operational efficiency, and the impact of chatbots on user experience. Influential collaborative networks and major schools of thought have been identified, highlighting a shift towards interdisciplinary approaches combining technology, management, and consumer behaviour. The study also reveals gaps in current research and emerging areas ripe for further exploration.Conclusion This study offers a detailed overview of chatbot research in tourism and hospitality from 2003 to 2023, mapping research themes, collaborative networks, and key perspectives. It highlights significant progress and identifies opportunities for further technological and academic exploration. This foundational work serves as a reference for future research and practical applications, guiding scholars, practitioners, and policymakers in integrating chatbots in these industries.

Sustainable communities.Vol. 2(1)
University of Sharjah (AE), University of Business and Technology (SA), Sunway University (MY), College of Business Administration (LV)
Decent work and economic growth
Openalex Percentile: Top 3%
AI in Service Interactions
7.44
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.