Proceedings of the International Conference on Sustainable Economics and Finance in the Digital Business Transformation (INCOSEF 2025)

The Next Frontier of Service: A Data-Driven Synthesis for Human-Centered Digital Transformation in AI-Enabled Hospitality

Authors
Duy Yen Linh Nguyen1, *, Duy Dang Pham Thien1, Phuc Huynh Nguyen Hoang2, Thi-Linh Ho2
1RMIT University, Ho Chi Minh City, Vietnam
2Ton Duc Thang University, Ho Chi Minh City, Vietnam
*Corresponding author. Email: ndylinh@hcmiu.edu.vn
Corresponding Author
Duy Yen Linh Nguyen
Available Online 6 April 2026.
DOI
10.2991/978-94-6239-624-1_15How to use a DOI?
Keywords
Artificial Intelligence; Authenticity; Service Encounter; Algorithm; Customer Experience; Sustainable Service Innovation
Abstract

The integration of artificial intelligence (AI) into hospitality and tourism has accelerated digital transformation, reshaping how organizations innovate, deliver services, and co-create experiences. Despite growing scholarly attention, research on AI’s role in hospitality service encounters remains fragmented, with limited synthesis of conceptual, methodological, and thematic developments. This study addresses this gap through a systematic literature review that combines bibliometric mapping and text-mining analysis to identify emerging trends, key themes, and research frontiers in AI-driven hospitality. Following PRISMA protocols, 487 peer-reviewed articles published between 2000 and 2024 were analyzed using co-occurrence networks, clustering algorithms, and TF-IDF keyword extraction. Six major thematic clusters were identified, representing focal areas such as service automation, customer experience, cultural adaptation, chatbot communication, and human–robot collaboration. The findings reveal a paradigm shift in the field’s intellectual structure, moving decisively from efficiency and automation to a human-centric focus on empathy, ethics, and affective intelligence. This study contributes a holistic synthesis of the field, bridging technological and human-centered perspectives in hospitality. By mapping intellectual structures and conceptual gaps, it provides a foundation for future research agendas that align AI adoption with empathy, authenticity, and sustainable service design.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Economics and Finance in the Digital Business Transformation (INCOSEF 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
6 April 2026
ISBN
978-94-6239-624-1
ISSN
2352-5428
DOI
10.2991/978-94-6239-624-1_15How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Duy Yen Linh Nguyen
AU  - Duy Dang Pham Thien
AU  - Phuc Huynh Nguyen Hoang
AU  - Thi-Linh Ho
PY  - 2026
DA  - 2026/04/06
TI  - The Next Frontier of Service: A Data-Driven Synthesis for Human-Centered Digital Transformation in AI-Enabled Hospitality
BT  - Proceedings of the International Conference on Sustainable Economics and Finance in the Digital Business Transformation (INCOSEF 2025)
PB  - Atlantis Press
SP  - 191
EP  - 212
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-624-1_15
DO  - 10.2991/978-94-6239-624-1_15
ID  - Nguyen2026
ER  -