Submit a Manuscript to the Journal
Cogent Social Sciences
For an Article Collection on
The Impact of Artificial Intelligence on Tourists’ Destination Choices
Manuscript deadline
Article Collection Guest Advisor(s)
Assoc. Prof. Dr. Nguyen Quoc Cuong,
Industrial University of Ho Chi Minh City
nguyenquoccuong@iuh.edu.vn
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The Impact of Artificial Intelligence on Tourists’ Destination Choices
Artificial Intelligence (AI) is transforming the tourism industry by reshaping how travelers search for information, receive recommendations, and make destination decisions. From AI-powered chatbots and virtual assistants to personalized travel suggestions and sentiment analysis, AI is influencing every stage of the tourist journey. This special issue seeks to explore the diverse ways in which AI is affecting tourists’ destination choices, traveler behavior, and the strategies of tourism stakeholders worldwide.
Key Questions include:
- How do AI-driven recommendation systems influence tourists’ destination selection?
- What is the role of AI-powered virtual assistants, chatbots, and digital influencers in shaping travel preferences?
- In what ways do personalized marketing and predictive analytics alter tourist decision-making processes?
- What ethical considerations arise from using AI to influence tourists’ choices (e.g., privacy, bias, manipulation)?
- How do tourists perceive and trust AI-generated content in travel planning?
- How do AI applications affect sustainable tourism and lesser-known destinations?
- What are the implications of AI adoption for destination marketing organizations (DMOs) and travel intermediaries?
This Collection welcomes empirical, theoretical, and review papers, including (but not limited to):
- AI and tourist behavior: case studies, experiments, and surveys
- Impacts of AI-driven platforms (e.g., Google, Expedia, TripAdvisor) on destination selection
- Trust, credibility, and perceived risk in AI-powered travel recommendations
- Social media algorithms and their influence on destination popularity
- AI’s role in crisis management (e.g., during pandemics, natural disasters)
- Cross-cultural differences in AI adoption for travel decisions
- AI ethics, transparency, and governance in tourism marketing
- Future trends: Virtual Reality, Metaverse, and AI in experiential tourism
Authors are invited to submit original research articles, reviews, and case studies. Interdisciplinary and cross-sector perspectives are encouraged. For submission instructions, please follow Cogent Social Sciences’ guidelines.
When submitting to this Collection, please be sure to select both the name of the Collection, as well as the Leisure and Tourism section when prompted.
Assoc. Prof. Dr. Nguyen Quoc Cuong is the Dean of the Faculty of Commerce and Tourism of Industrial University of Ho Chi Minh City in Vietnam. He holds a Bachelor of Business from La Trobe University (Australia), a Master of Management from the University of Wollongong (Australia), and a PhD in Management Science from University Paris 1 Panthéon-Sorbonne (France). His research focuses on tourism, marketing, business and management. He has published several papers in reputable journals such as Tourism Management, Current Issues in Tourism, Journal of Travel & Tourism Marketing, International Journal of Tourism Cities, Quality & Quantity, Cogent Education and Journal of Innovation and Entrepreneurship.
The Guest Advisor acknowledges the use of Quillbot, Grammarly and Google Gemini in the formation of this proposal.
The Guest Advisor does not have conflicts of interest to disclose.
For more information about this Collection, please contact the Commissioning Editor, Dr. Molly Cole, at molly.cole@taylorandfrancis.com.
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All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Guest Advisors for this Collection will not be involved in peer-reviewing manuscripts unless they are an existing member of the Editorial Board. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.