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Marketing and Artificial Intelligence in Tourism Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Tourism, Culture, and Heritage".

Deadline for manuscript submissions: closed (31 January 2026) | Viewed by 2889

Special Issue Editors


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Guest Editor
1. Instituto Politécnico de Tomar, Quinta do Contador, Estrada da Serra, 2300-313 Tomar, Portugal
2. GOVCOPP, Campus Universitário de Santiago, Rua de S. Tiago, 3810-193 Aveiro, Portugal
3. CiTUR—Centre for Tourism Research, Development and Innovation, Polytechnic of Leiria, 2520-641 Peniche, Portugal
4. ISLA—Instituto Superior de Gestão e Administração, 2000-241 Santarém, Portugal
Interests: marketing; tourism; sustainability; innovation; management; hospitality
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. School of Hospitality and Tourism (ESHT), IPCA-Polytechnic University of Cávado and Ave, 4750-810 Barcelos, Portugal
2. UNIAG—Applied Management Research Unit, 4900-347 Viana do Castelo, Portugal
3. CiTUR—Centro de Investigação, Desenvolvimento e Inovação em Turismo, 4750-810 Barcelos, Portugal
Interests: tourism innovation; sustainable tourism; sustainable marketing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Considering the role and impact of marketing and artificial intelligence within the context of tourism management, it is mandatory to continue to advance scientific knowledge related to this. Currently, and guaranteed in the future, the application of the outcomes derived from scientific research is the key and the trigger for the tourism and hospitality management/planning industry, addressing marketing and artificial intelligence to maintain a competitive advantage and integrating a value chain in strategic, tactical, and operational terms. 

The main aim of the Special Issue is to bring innovative boundaries, trends, challenges, opportunities, benchmarks, recommendations, and future agendas for professionals and academics into marketing and artificial intelligence in tourism management. 

Moreover, the subject entirely relates to the journal scope, due to the fact the themes completely cover the major topics and concepts addressed in the journal Sustainability

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Marketing in destinations and territories;
  • Digital marketing in tourism planning;
  • CRM in tourism and hospitality contexts;
  • Social media in tourism sector;
  • Virtual and augmented reality in tourism;
  • Marketing intelligence into tourism management;
  • Green marketing/sustainable marketing/ethical marketing in hotel and tourism industry;
  • AI in travel agencies, tour operators and aviation companies;
  • AI in tourist experience and tourist behavior;
  • AI in the management of tourism services and operations;
  • AI in tourist customer segmentation, targeting and positioning;
  • AI in creating new tourist experiences;
  • AI tools and technologies in tourism;
  • AI in analyzing tourism demand/supply data and decision-making.

Dr. Vasco Ribeiro Santos
Dr. Bruno Barbosa Sousa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • tourism marketing
  • tourism AI
  • AI technologies
  • digital platforms

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Published Papers (1 paper)

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Research

19 pages, 829 KB  
Article
The Impact of AI on Digital Quality and Technical Sustainability of Travel Websites
by Teodora Maria Begu, Simona Soica and Anisor Nedelcu
Sustainability 2025, 17(21), 9879; https://doi.org/10.3390/su17219879 - 5 Nov 2025
Viewed by 1746
Abstract
The tourism industry is currently experiencing a substantial digital transformation, with Online Travel Agencies (OTAs) committed to integrating innovations such as artificial intelligence (AI) in order to enhance service delivery and personalize user experiences. This study investigates the relationship between the utilization of [...] Read more.
The tourism industry is currently experiencing a substantial digital transformation, with Online Travel Agencies (OTAs) committed to integrating innovations such as artificial intelligence (AI) in order to enhance service delivery and personalize user experiences. This study investigates the relationship between the utilization of AI and the technical quality scores of tourism websites, aiming to identify significant associations and variances in the critical conversion phase. An exploratory research design is employed to evaluate the technical quality of three prominent international tourism websites, i.e., Booking.com, Airbnb.com, and Tripadvisor.com. The investigation uses Google Lighthouse, with Performance, Accessibility, Best Practices, and Search Engine Optimization (SEO) as variables analyzed across both desktop and mobile versions, as well as on pages with and without AI functionality. Data analysis is performed using JASP (version 0.19.3), including linear regression analysis to quantify the predictive relationship. The analysis confirms that the Performance variable is the most sensitive to the influence of AI. AI integration demonstrates a significant positive influence on the Performance score of travel websites. The regression model indicates that AI usage explains 78.9% of the variation in the Performance score (R2 = 0.789, p < 0.001), indicating a substantial correlation with technical sustainability. Nevertheless, there remains an ongoing necessity for optimization, particularly with regard to the enhancement of overall performance and improvement of scores for mobile devices. The study acknowledges certain limitations related to the sample size of AI applications and the accessibility of specific AI versions in particular geographic regions. Full article
(This article belongs to the Special Issue Marketing and Artificial Intelligence in Tourism Management)
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