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Information and Communication Technologies in Tourism 2024

ENTER 2024 International eTourism Conference, Izmir, Türkiye, January 17-19

  • Open Access
  • 2024
  • Open Access
  • Book

About this book

For more than 30 years, Information and Communication Technology (ICT) has been revolutionizing travel, tourism, and hospitality, and as we look to the next 30 years, the change of pace does not seem to be diminishing. This open-access book provides an extensive overview of the latest developments of ICTs in the tourism and hospitality industry. Featuring papers presented at the International Federation for IT and Travel & Tourism’s (IFITT) 31st annual ENTER International eTourism Conference (ENTER24) held in Izmir, Türkiye, this book presents research on topics such as artificial general intelligence (AGI) in tourism and hospitality; emerging technologies in tourism education; virtual reality; technologies for sustainability, health and wellbeing; big data and analytics, among others.

This is an open access book.

Table of Contents

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  1. AI for Future Tourism and Hospitality

    1. Frontmatter

    2. Preference Management in a Single User Group Recommender System

      • Open Access
      Hanif Emamgholizadeh, Amra Delić, Francesco Ricci
      The chapter delves into the complexities of group decision-making in the context of food preferences, highlighting the unique challenges faced by a single organizer. It introduces MyFoodGRS, a recommender system that supports organizers in recalling and anticipating group members' preferences and resolving incompatible preferences. The system employs machine learning models and association rule mining to predict and extend food preferences, ultimately helping organizers make better choices. The chapter also presents the results of a user study, demonstrating the effectiveness of the system's supporting functionalities. The findings indicate that the system significantly improves the quality of choices made by organizers, reducing individual loss and increasing group satisfaction. This research contributes to the field of group recommender systems by addressing a gap in supporting single organizers and provides valuable insights for future developments in the area.
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    3. How Distinct and Aligned with UGC is European Capitals’ DMO Branding on Instagram?

      • Open Access
      Lyndon J. B. Nixon
      The chapter delves into the role of visual content in destination marketing, particularly on Instagram. It discusses the challenges and opportunities of analyzing user-generated content (UGC) to understand destination image and branding. The authors introduce a novel methodology using a fine-tuned visual classifier and compositional data analysis to measure and compare the visual branding strategies of DMOs and UGC. The study offers insights into how European capitals position themselves visually and how aligned their branding is with what visitors find significant. The results highlight both the distinctiveness and alignment of DMO branding with UGC, providing valuable insights for tourism marketers.
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    4. Automated Topic Analysis with Large Language Models

      • Open Access
      Andrei Kirilenko, Svetlana Stepchenkova
      The chapter delves into the evolution of automated topic analysis, from early exploratory factor analysis to modern large language models (LLMs). It critiques the limitations of Latent Dirichlet Allocation (LDA), particularly its reliance on lengthy documents and susceptibility to noise. The study introduces the use of LLMs, such as GPT-3, for topic extraction, showcasing their ability to infer topics from short, noisy texts. The authors compare LLM-extracted topics with those from LDA, using social media reactions to Li Ziqi's videos as a case study. The results indicate that LLMs significantly outperform LDA in accuracy and specificity, opening new avenues for topic modeling in tourism and social media analysis.
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    5. AI-Generated Future: What Awaits Tourism and Hospitality with AI-Based Deep Learning Technologies?

      • Open Access
      Ayşe Collins, Seyid Amjad Ali, Semih Yılmaz
      This chapter delves into the future of tourism and hospitality through the lens of AI-based deep learning technologies. It begins by addressing the gap in existing literature regarding the specific AI technologies relevant to tourism. The study identifies seven key deep learning technologies, including Convolutional Neural Networks, Style Transfer, Deep Learning Based Recommendation Systems, Generative Adversarial Networks, Variational Autoencoders, Recurrent Neural Networks, and Graph Neural Networks. Each technology is examined for its potential applications in tourism, such as personalized itineraries, secure registrations, and polylingual tour guiding. The chapter also underscores the importance of interdisciplinary frameworks and the challenges posed by data reliability in these industries. By providing a detailed review and highlighting both opportunities and obstacles, this chapter offers valuable insights into how AI can revolutionize the tourism and hospitality sectors.
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  2. Innovations in Destination Marketing and Management

    1. Frontmatter

    2. Cross-Cultural Differences in Emotional Response to Destination Commercials

      • Open Access
      Christian Weismayer, Ilona Pezenka
      The chapter delves into the impact of cultural differences on emotional responses to destination commercials, emphasizing the need for culturally sensitive advertising campaigns. It introduces a methodology that uses automatic facial expression analysis and time series clustering to objectively measure emotional reactions. By comparing emotional responses between Austrian and Colombian participants, the study reveals significant cultural variations, providing valuable insights for destination management organizations seeking to engage diverse audiences effectively.
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    3. Authentication of SMIs by Culturally Different Audiences: Investigation with Chat GPT-3 Prompt Engineering

      • Open Access
      Svetlana Stepchenkova, Andrei Kirilenko, Jing Yang
      This chapter delves into the authentication of SMIs by culturally different audiences, focusing on the concept of existential authenticity. It examines how viewers perceive the authenticity of Li Ziqi, a Chinese SMI, through online discussions on YouTube and Weibo. The study employs LLM prompt engineering to analyze and compare the topics of these discussions, revealing differences in how domestic and international audiences authenticate SMIs. The chapter highlights the importance of existential authenticity in shaping public perceptions of SMIs and their content, offering valuable insights for marketers and cultural researchers.
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    4. Varying Roles of Destination Management Organizations in the Digital Business Ecosystem of Tourist Destinations

      • Open Access
      Volha Herasimovich, Aurkene Alzua-Sorzabal, Basagaitz Guereño-Omil, Daniela Thiel-Ellul
      The study examines the multifaceted roles of Destination Management Organizations (DMOs) within the digital business ecosystem of tourist destinations. Conceptualizing tourist destinations as complex systems of interconnected actors, the chapter focuses on DMOs as key players facilitating connections within and between destinations. It investigates the digital representations of tourism stakeholders, using hyperlink network analysis and webometric techniques to analyze DMOs' online activities. The research highlights the significant role of DMOs in establishing connections and bridging actors within the digital ecosystem, with central DMOs demonstrating higher activity than peripheral ones. The findings offer valuable insights into the digital strategies and impacts of DMOs, contributing to a better understanding of destination management in the digital age.
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    5. Does More Data Create Better Strategies for Destinations?

      • Open Access
      Anne-Maria Moilanen, Juho Pesonen, Johanna Heinonen
      This chapter delves into the potential of big data to enhance strategic planning in tourism destinations. It begins by highlighting the vast amounts of data available to businesses today and the challenges in effectively utilizing this data. The research problem is the lack of study on how tourism data can support strategy development, despite its crucial role in competitive advantage. The study is grounded in strategic management and knowledge management theories, focusing on how data can be transformed into actionable knowledge. The methodology involves qualitative research with semi-structured interviews of Finnish DMOs, providing insights into their current practices and challenges. The results show that while DMOs recognize the potential of big data, they struggle to convert it into competitive strategies due to limited knowledge management skills and resources. The chapter concludes by emphasizing the need for strategic management expertise to leverage data effectively and continuously evaluate strategies. It offers a unique perspective on the intersection of big data and strategic planning in the tourism industry.
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  3. Emerging Technologies in Tourism Education

    1. Frontmatter

    2. Can ChatGPT Inspire Me? Evaluate Students’ Questioning Techniques on AI Tool for Overcoming Fixation

      • Open Access
      Rosanna Leung, Iris Sheungting Lo
      The chapter evaluates the perceived usefulness of AI chatbots like ChatGPT as a creativity tool for idea generation and students' questioning techniques for idea generation. A pre-post experiment was conducted to examine students' creativity in three different settings: no tool, with an AI Chatbot, and with a structured question guide. The study aims to address whether AI Chatbots can effectively help overcome fixation in idea generation. Theoretical backgrounds on idea generation, fixation, questioning, and narrative approaches are discussed. The findings suggest that while ChatGPT can expand thinking, its effectiveness depends on the student's ability to ask questions that help overcome fixation. The study also highlights the impact of creative self-concept on the perceived usefulness of ChatGPT.
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    3. Applying Design Thinking to Improve Students’ Experience in Online Hospitality Courses

      • Open Access
      Katerina Berezina, Rasoul Mahdavi, Mahsa Talebi
      This chapter delves into the application of design thinking to improve the student experience in online hospitality courses. It begins by highlighting the rapid shift to online education due to the COVID-19 pandemic and the subsequent need to enhance the effectiveness of online learning. The author introduces design thinking as a methodology to address the challenges of online courses, such as lack of interaction and reduced motivation. The chapter reviews the stages of the design thinking process—empathize, define, ideate, prototype, and test—and illustrates how these stages can be applied to redesign an online hospitality course. A practical example is provided, detailing the steps taken to understand student experiences, identify problems, generate solutions, and test these solutions. The chapter concludes by emphasizing the importance of a user-centric approach in course redesign and suggests future research directions for further enhancing online learning experiences.
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    4. Escaping the Routine: Virtual Escape Rooms in Online Hospitality Courses

      • Open Access
      Katerina Berezina, Olena Ciftci, Mahsa Talebi, Rasoul Mahdavi
      The chapter discusses the growing trend of online learning, particularly in hospitality and tourism education, and the need for innovative teaching methods like gamification. It introduces virtual escape rooms (VERs) as a tool to enhance student engagement and learning experiences. The authors provide a detailed methodology for building VERs using Google Workspace products, including Google Sites, Forms, and Slides, and present a case study of implementing a VER in a hospitality course. The benefits and challenges of using VERs are explored, along with student feedback that highlights their effectiveness in making learning more enjoyable and interactive. The chapter concludes with a discussion on the future potential of VERs in education and suggestions for further research.
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  4. Immersive Technologies in Tourism

    1. Frontmatter

    2. Body and Mind in Virtual Dark Tourism Experiences and Artwork Creations: Embodied Cognition Reaction Perspectives

      • Open Access
      Halim Budi Santoso, Benjamin Quarshie, Dandison Ukpabi, Jyun-Cheng Wang
      The chapter delves into the intersection of virtual reality and dark tourism, examining how multisensory experiences influence individuals' perceptions and emotions. It explores the role of narratives and auditory stimuli in enhancing the impact of virtual dark tourism experiences, using an embodied cognition perspective. The study also investigates the creation of artworks as a means of understanding and expressing the cognitive and affective states induced by these experiences. Through a qualitative vignette experiment, the research provides a comprehensive analysis of participants' reflections and artwork creations, highlighting the complex interplay between sensory stimuli, cognition, and emotion in the context of virtual dark tourism.
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    3. A Journey for All Senses: Multisensory VR for Pre-travel Destination Experiences

      • Open Access
      Jakob C Uhl, Barbara Prodinger, Markus Murtinger, Armin Brysch
      This chapter delves into the transformative potential of multisensory virtual reality (VR) in the tourism industry, focusing on pre-travel destination experiences. It discusses the rapid development of VR hardware and its implications for the tourism sector, where physical travel is becoming increasingly exclusive. The study introduces a novel multisensory VR experience that incorporates olfactory, gustatory, and haptic stimuli, and compares its effects with traditional VR in a user study. The research aims to answer key questions about the enhanced sense of presence and technology acceptance among potential tourists. The chapter also explores the Technology Acceptance Model (TAM) and its relevance to multisensory VR, highlighting the importance of perceived usefulness and ease of use. Through a mixed-methods approach, the study provides valuable insights into the benefits of multisensory VR over traditional VR, suggesting that it can significantly enhance the sense of presence and technology acceptance in pre-travel experiences.
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    4. Hospitality in the Cyborg Age: The Power of Brain-Computer Interfaces in a Field-Experiment

      • Open Access
      Alexander Kiess, Alexander Lennart Schmidt
      The chapter 'Hospitality in the Cyborg Age: The Power of Brain-Computer Interfaces in a Field-Experiment' investigates the potential of brain-computer interfaces (BCI) to transform hospitality experiences. It begins by discussing the ongoing debate on the impact of digital technologies in the hospitality sector and the limited research on guest perceptions of BCI. The study aims to address this gap by analyzing how guests perceive BCI-enhanced experiences compared to traditional methods, particularly in service recovery scenarios. A pre-study involving a quasi-field experiment with a BCI-equipped waitress demonstrated significantly improved service performance and guest perceptions of warmth and superiority. The findings suggest that BCI technology can enhance service recovery processes, leading to more favorable customer outcomes. The chapter concludes by highlighting the potential contributions of this research to both hospitality and information systems literature and outlines plans for further investigation.
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    5. Enhancing the Museum Experience on the Metaverse: The Blend of Technological Embodiment and Social Presence

      • Open Access
      Carlos Flavián, Sergio Ibáñez-Sánchez, Carlos Orús
      The chapter delves into the intersection of the metaverse and museum experiences, highlighting the potential of this virtual platform to revolutionize how visitors engage with art and culture. By drawing on Social Presence Theory and the Theory of Technological Mediation, the authors examine how digital technologies can enhance the affective, cognitive, sensory, conative, social, and personal dimensions of the customer experience. A qualitative study reveals that while participants found the metaverse museum experience novel and immersive, they also identified areas for improvement, particularly in terms of technological embodiment and social presence. The chapter concludes with a proposal for a subsequent quantitative study to further investigate these factors, offering a comprehensive approach to understanding the metaverse's role in shaping future museum experiences.
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Title
Information and Communication Technologies in Tourism 2024
Editors
Katerina Berezina
Lyndon Nixon
Aarni Tuomi
Copyright Year
2024
Electronic ISBN
978-3-031-58839-6
Print ISBN
978-3-031-58838-9
DOI
https://doi.org/10.1007/978-3-031-58839-6

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