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TM Call for Papers: Fostering Responsible Generative Artificial Intelligence in Tourism

2025, Tourism Management

Related Papers

Professor Dimitrios Buhalis

Bulchand-Gidumal, J., William, E., O’Connor, P., Buhalis, D., 2023, Artificial Intelligence’s impact on Hospitality and Tourism Marketing: Exploring key themes and addressing challenges, Current Issues in Tourism, https://doi.org/10.1080/13683500.2023.2229480. ABSTRACT Understanding how Artificial Intelligence (AI) impacts organizational functions supports stakeholders to prepare accordingly and profit from these developments. Adopting a grounded theory approach, this study uses three interlinked stages (in-depth interviews, focus groups and a questionnaire-based survey) to explore the impact of AI on the marketing function of hotels. The results identify ten trends related to AI’s contribution to hotel marketing, clustered in four themes. AI reengineers internal processes and procedures by enabling data and content as catalysts of competitiveness; empowering the augmented worker and performing mass personalization and customization. AI also impacts relationships with stakeholders by determining return on investment; improving sustainability; and governing legal aspects and ethics regarding data use. AI supports networks to which the organizations belong by concentrating and integrating organizations and transforming distribution models. AI transforms customer processes and services by engaging smart and predictive customer care and by employing predictive and augmented product and service design. The study illustrates the changes that AI will likely bring to hospitality and tourism marketing, developing a research agenda and raising discussion points for academic and industry practitioners respectively. KEYWORDS: AI marketing customization personalization innovation big data

Administrative sciences

MIGUEL ANGEL GARCIA MADURGA

This study aims to comprehensively synthesize existing literature on AI in tourism, highlighting key themes, strengths, and limitations, and illuminating pathways for future research, including the identification of emerging areas within this context. AI technology is rapidly transforming various sectors, including tourism, by augmenting customer service, improving operational efficiency, personalizing travel experiences, and supporting sustainability initiatives. Despite the growing body of research on this topic, there is a need for a comprehensive and systematic summary of the existing literature to illuminate the most effective uses of AI in this context and to identify gaps for future research. We employed the ‘overview of reviews’ methodology, which involved systematically locating, appraising, and synthesizing the results of previous review articles. Using Web of Science, we identified and analyzed 31 previous review articles on the application of AI in tourism. Their synthesis presents a comprehensive perspective on the present status of AI technology in the tourism sector. It provides valuable insights, not only for practitioners contemplating the implementation of AI solutions but also for academics aspiring to advance this study area. Moreover, the academic implications of this study reaffirm its objective to shape future inquiries into AI applications within tourism, advocate for the efficacious and sustainable employment of AI, and provoke scholarly exploration at the nexus of technology and sustainability in this sector.

https://doi.org/10.25204/iktisad.1347642

This study aims to investigate the impact of artificial intelligence (AI) on the workforce in the tourism sector, suggest measures that managers and employees can utilize to mitigate the adverse effects of AI, and predict the future of employment in tourism. In the study, the interview technique was used in qualitative research approaches. ChatGPT was used as an interviewer. Eight questions were posed during the interviews using the ChatGPT question screen (https://chat.openai.com/chat). The study showed that artificial intelligence (AI) will emerge in fifteen new job positions within tourism. The study revealed that integrating artificial intelligence (AI) in the tourism industry has several advantages for employees, such as enhancing job satisfaction and commitment, making more informed decisions, reducing their workload and burnout, formulating more effective business strategies and service offerings, continuing professional development, discover new career paths, and acquiring practical problem-solving abilities. The study highlighted that AI has potentially adverse effects on employees on subjects, including job displacement, job mismatches, skills gap, reskilling challenges, adopting, creativity, decision-making, workload, burnout, ethical, fairness, job performance, job satisfaction, sense of monotony, career advancement, and identity lost.

JOURNAL OF THE ASIATIC SOCIETY OF MUMBAI

chandra shekhar

Multiple technological breakthroughs (most notably, artificial intelligence in tourism and hospitality) have resulted in a fundamental revolution and the formation of dozens of new companies, poisoning companies while providing significant value to ultimate clients. AI is used in nearly every sector of the hospitality and tourism industry and is present in numerous applications. Significant progress in AI is being made due to recent advancements in information, techniques, and advanced technology. While it is essential to analyze the effects of artificial intelligence on the entire hospitality and tourism industry, it is indeed important to study artificial intelligence's impacts on the sector overall. For the tourism and hospitality industry, this report's objective is to help them see the significance of artificial intelligence (AI). The paper looks at how key tourism and hospitality industries have been modified and continue to adjust to Artificial Intelligence (AI). The focus of this article is also on the future advancements and problems in tourism. In terms of tourism and hospitality, the researchers looked at AI's functions from a tourist's standpoint and determined their level of AI innovation satisfaction. Statistical studies using various instruments are being conducted to determine how AI affects tourism, hospitality, and visitor satisfaction. Results show that "there is an impact of AI on tourism and hospitality industry and there is a significant difference between the satisfaction level of tourist on use of AI in tourism and hospitality industry".

Sabrina Francesconi

Advances in Hospitality and Tourism Research (AHTR)

Volkan Aşkun

Teresa Tiago

Abstract: Recent studies have called into question the credibility and relevance of travel-related user-generated content (UGC). Regardless these matters, tourists not only read and use information from the Internet during their pre-travel choice process, but also post information on the Internet during and post-travel stages. And, these contents are use and meaning to others travelers decision process, but in different degrees. So, what makes a UCG relevant and for whom? To better understand these questions, data was gathered from TripAdvisor regarding customer opinions concerning their restaurant experiences in top 10 restaurants, from two island destinations (USA versus Europe). Results validate the existence of different travelers expertise profile in what concerns UCG restaurant related. Also, the results further reinforce the literature relative to the importance online social media in the buyer decision-making process and to the restaurant experience as a whole.

Annals of Tourism Research

Patrick van Esch , Professor Jochen Wirtz

The tourism industry has adopted AI agents as substitutes for human contact. We examine how tourists respond to AI in hotel service settings during a pandemic. Four studies show that services featuring human interaction is preferred to AI enabled interaction. Moreover, subjective happiness is identified as the underlying causal mechanism that drives this effect. We provide further nuanced insights by showing that politically conservative tourists discriminate between service agent types more. Theoretically we contribute to a more finegrained understanding of tourists' responses towards AI by examining an affective and an individual difference factor (political ideology). Practically, marketers are encouraged to incorporate tourists' ideologies and psychographics into segmentation, targeting, and positioning considerations, thereby enhancing their marketing effectiveness.

Journal of Sport Sciences Research

This study explores the potential benefits of employing generative pre-trained transformers (GPTs) in recreational tourism, the difficulties that arise when implementing such technology, the impact it has on tourist behaviour, and the ways it can be utilised in recreational tourism management. The original aspect of the study is that it is the first to give detailed information about the use of GPT in recreational tourism. ChatGPT was used as an interviewer in the study. ChatGPT is a software application that utilizes the high-powered machine learning software called Generative Pre-trained Transformer (GPT-3), developed by the OpenAI organization. Six questions were posed on the ChatGPT query screen (https://chat.openai.com/chat). The interview queries were prepared with reference to the study by Fusté-Forné and Orea-Giner (2023). The question statements in this study on the use of GPT in gastronomy tourism were changed to recreational tourism. ChatGPT's replies were tabulated and presented descriptively. Inferences and suggestions were made in line with the answers given by ChatGPT. The study showed that using GPT technology in recreational-based tourism can offer better customer interaction, decision-making, and a personalized travel experience. ChatGPT underlined that new technologies continue to evolve, and recreational-based tourism will become more personalized, informative, and immersive, ultimately enhancing the overall travel experience, and contributing to the growth and sustainability of the tourism industry. ChatGPT also noted GPT models have the potential to shape and enhance the entire travel experience for tourists, from the initial planning stages to the actual trip itself. Although GPT makes significant contributions to recreational tourism management and recreational tourists, there are deficiencies in ethical, privacy, and authenticity concerns.

Journal of Tourism Sciences

Prof. Dr. Dr. Roman Egger

There is no doubt that we live in an information age, and the amount of data produced every day continues to increase rapidly. Our society is dependent on generating, processing, storing, and sharing data, and no matter what situation we find ourselves in, data has become a fundamental part of our daily lives (Johnson, 2014). Tourism has always been an information-intensive industry, and, currently, there are numerous indications implying that it will develop into a data-driven sector. According to a study by McKinsey (2018), the potential for incremental value from ambient intelligence (AI), over other analytic techniques, is higher in tourism than in any other industry using big data, thus forming the basis of new directions in research. Moreover, due to the popularity of social media platforms, specifically, the amount of user-generated content (UGC) in tourism is rising tremendously (Egger & Herdin, 2007). In addition to Facebook and Twitter, the so-called "pictorial turn" (Curtis, 2011) has brought about an enormous influx to platforms such as Instagram in particular, allowing people worldwide to share their experiences and adventures in text, image, video, and audio formats. At the same time, vast amounts of metadata are being created, further providing even more detailed descriptions of multiple phenomena. For example, tourist photos are accompanied by geodata along with the time at which they were taken, and posts are tagged with additional data such as the author, tags, and user engagement of the recipients in the form of likes and comments, to name but a few. In addition to UGC, transactional and process data are also continuously being generated, and the trend towards wearable devices and the Internet of Things (IoT) leads to data being recorded via a wide variety of sensors (Gretzel et al., 2015). Throughout our journeys, individuals leave behind a vast amount

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CfP Tourism Management: Generative AI

Call for Paper for a Virtual Special Issue of Tourism Management.

Fostering Responsible Generative Artificial Intelligence in Tourism

Guest Editors: McCabe S, Li X, Cheah JH, Hollebeek LD, Ameen N & Law R

Deadline: 30 October 2024

Generative AI (GAI) is an artificial intelligence sub-type that is able to generate original content, including images, text, audio, and code, by learning from (large) data (Peres et al., 2023; Kim et al., 2023). It, therefore, stands as a ground-breaking technology capable of identifying data patterns and using those patterns to generate new content in response to specific content inputs (e.g., users’ questions). Remarkably, its output mirrors the quality that is typically associated with human experts, yet it is accomplished in a fraction of the time and at a significantly reduced cost, coupled with augmented creativity (Xie-Carson et al., 2023; Berente et al., 2021), thus potentially revolutionizing the creation, consumption, and delivery of tourism services (Li et al., 2023; Yin et al., 2023; Ameen et al., 2023). Specifically, GAI may be leveraged to personalize tourism offerings or their (e.g., marketing) content, among others, in turn boosting their competitiveness, effectiveness, or performance (Law et al., 2023; Yang et al., 2022; Qiang & McCabe, 2021). For example, while Expedia is using GAI to generate personalized travel itineraries for its customers (FastCompany, 2023), KLM Royal Dutch Airlines is using GAI to personalize its marketing campaigns (Diginomica, 2023).

However, despite its promise, GAI also raises potential ethical issues, including in terms of its accountability (e.g., by creating misleading/deceptive content), privacy, fairness, discrimination, or other biases that may impact tourism stakeholders (Xiang et al., 2021; Zhang et al., 2021). For example, GAI may generate content that inadvertently reinforces prevailing stereotypes, discriminates against specific (e.g., race, gender, or ethnic) demographics based on the data and/or algorithm it has been trained on (Dwivedi et al., 2023; Pazzanese, 2020), in turn exacerbating societal disparities or raising other ethical issues (Kim et al., 2023; Dogru et al., 2023a/b). Moreover, lacking transparency around the informational sources leveraged by GAI may raise concerns regarding the validity of its output (e.g., by questioning the reasoning behind GAI recommendations). For example, GAI may manipulate online hotel/restaurant reviews or mass-create false identity accounts. Consequently, its capacity to create misleading, obsolete, or misconstrued information may trigger the development of negative attitudes to GAI or GAI misconceptions that may adversely influence tourism stakeholders’ GAI-related decision-making, engagement, and/or wellbeing (Hollebeek & Belk, 2021; He et al., 2018).

However, scholarly attention to the dynamics characterizing these potential ethical GAI challenges, and responsible GAI adoption, in tourism lags behind, exposing an important literature-based gap. In other words, scholars require an in-depth understanding of the ethical implications of tourism-based GAI design, adoption, and usage, along with relevant guidelines and best practices for responsible GAI implementation, as, therefore, addressed in this VSI. This VSI thus provides a platform to explore the interface of tourism, GAI, and ethics to boost tourism provider performance.

We invite submissions that explore key hallmarks, drivers, consequences, and/or contingency factors characterizing tourism-based GAI design, adoption, and usage, thus moving the field of tourism management forward by contributing to its theoretical/methodological and practical advancement. We welcome qualitative, quantitative, or pluralistic contributions that make a substantive theoretical contribution and that address issues, including, but not limited to, the following: • What key ethical challenges characterize tourism-based GAI design, adoption, usage, and engagement and how can these be minimized or resolved? • What (e.g., security/privacy) measures may be implemented to protect users’ data (e.g., travel preferences or booking details) from unauthorized GAI access and/or misuse? • What tourism stakeholder roles, skills, and responsibilities are required to secure responsible GAI adoption and usage? • How can responsible tourism-based GAI design be leveraged to boost specific tourism stakeholders’ (e.g., customers’ or employees’) engagement, trust, co-creation, satisfaction, or wellbeing? • How can GAI be used to responsibly strengthen tourism stakeholder (e.g., customer) relationships? • To what extent and how can tourism-based GAI be used to identify and combat tourism- related mis- or disinformation (e.g., fake reviews)? • How may GAI be leveraged to raise inclusion, diversity, and equity of specific stakeholders’ (e.g., customers’) tourism experiences (e.g., by making relevant tourism- related recommendations? • How should tourism-based GAI be governed (e.g., to minimize the emergence of monopolistic practices, to allow smaller, resource-constrained providers to still flourish)? • How can GAI be used to support organizational, environmental, social, and governance (E.S.G.), or other responsible (e.g., sustainable) firm objectives? • What key implications does tourism-based GAI implementation have for tourism policymaking, • What are the key legal and policymaking implications of tourism-based GAI implementation? • How will GAI adoption affect tourism scholarship and practice?

Submission Procedure

Interested authors are encouraged to submit a 500-word abstract of their work to Dr Jacky Cheah and Dr Nisreen Ameen by  April 15, 2024 , which members of the Guest Editor team will provide feedback on. The final deadline for VSI submissions is  October 30, 2024 , via the  Tourism Management  online submission portal . Though full manuscripts are to be submitted to the journal on a rolling basis up until the deadline, earlier submissions are encouraged and will be handled as they are received.

When submitting your manuscript, please select the VSI: “Responsible GAI in Tourism” from the drop-down menu. Submissions should be prepared in accordance with the editorial policy and author guidelines of  Tourism Management . The guest editors will screen submissions to ensure their appropriate scope, fit with the journal, (e.g., theoretical) contribution, and relevance to the VSI’s aims and objectives. Manuscripts that do not pass this initial screening will be returned to the authors, while the remaining manuscripts will be reviewed in accordance with  Tourism Management ’s guidelines and procedures.

Guest Editors:

o Professor Scott McCabe, University of Birmingham, UK  o Professor Xiang (Robert) Li, Temple University, USA o Dr. Jun Hwa Cheah, University of East Anglia, UK o Professor Linda D. Hollebeek, Sunway University, Malaysia o Dr. Nisreen Ameen, Royal Holloway University of London, UK o Professor Rob Law, University of Macau, China

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ISSN: 0972-7310 ( UGC-CARE List Group I )

Call for paper.

Home Call for Paper

Call for Papers

Journal of Tourism - An International Research Journal on Travel & Tourism Vol. XXIV, Number-1, June 2023 & Vol. XXIV, Number-2, December 2023 Current Trends, Issues and Challenges in Tourism and Hospitality Industry

The potential topics include, but are not limited to the followings:

• New norm of travel in a post-pandemic world
• Emerging technologies in tourism and hospitality
• Paradigm shifts in hospitality/tourism
• Consumer behaviour in hospitality/tourism
• Human Resource Management in Hospitality/Tourism
• New opportunities in hospitality/tourism
• New challenges in hospitality/tourism
• Tourism and climate change
• Community based tourism
• Tourism and social media
• Destination branding and sustainable tourism
• Smart Tourism business ecosystem
• Hypermedia communication spaces in tourism
• Responsible Tourism
• Nature based tourism and Ecotourism

Dr. Pankaj Kumar

[email protected]

Call For Papers

PSYCHOLOGY OF WELL-BEING APPLIED TO TOURISM

(Special Issue)

This Special Issue, to which we invite submissions, aims to study the attitudes and behaviours towards the tourism phenomena, since tourism can affect their lives, in a positive or negative way. Moreover, research should give attention to those working in the hospitality sector, trying to understand their employment and work conditions (namely the effects of seasonality and overwork), satisfaction levels, career expectations, gender discrimination and distress.

Potential manuscripts for this special issue may include, but are not limited to, the following topics pertaining to well-being in the field of tourism:

• Stakeholders’ well-being
• Hospitality professionals’ well-being
• Tourists’ well-being
• Tourism and residents
• Tourism and quality of life
• Second home Tourism
• Social Impacts of Tourism
• Cultural Impacts of Tourism
• Health Tourism
• Sports and Tourism
• Healthy Workplaces in Hospitality
• Lifestyle Mobilities and Migration

GUEST-EDITORS:

Saúl Neves de Jesus , PhD, Universidade do Algarve: [email protected]

Soraia Garcês , PhD, University of Madeira: [email protected]

Dorota Bazuń , PhD, University of Zielona Góra: [email protected]

SUBMISSION DETAILS:

All papers will be peer-reviewed. Articles must follow the publication rules as presented in the Author’s Guidelines . Full articles should be submitted by November 15, 2023 , to the Guest-Editors. Any comments or doubts should be sent to the Guest-Editors.

ISSN: 2795-5044 Renamed from: Journal of Spatial and Organizational Dynamics

Make a submission

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NoDerivatives 4.0

International License

This journal is financed by National Funds provided by FCT- Foundation for Science and Technology through project UIDB/04020/2020 with DOI 10.54499/UIDB/04020/2020

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Call for Chapters: Examining Tourist Behaviors and Community Involvement in Destination Rejuvenation

Call for chapters, introduction, target audience, recommended topics, submission procedure.

Researchers and practitioners are invited to submit on or before March 10, 2024 , a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by March 24, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by May 12, 2024 , and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Examining Tourist Behaviors and Community Involvement in Destination Rejuvenation. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery ® online submission manager.

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com . This publication is anticipated to be released in 2025.

Important Dates

March 10, 2024 : Proposal Submission Deadline March 24, 2024 : Notification of Acceptance May 12, 2024 : Full Chapter Submission June 16, 2024 : Review Results Returned July 14, 2024 : Final Acceptance Notification July 21, 2024 : Final Chapter Submission

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