This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)'s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19-22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of…mehr
This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)'s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19-22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.
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Autorenporträt
Wolfgang Wörndl is Senior Researcher and Lecturer at the Department of Informatics of the Technical University of Munich (TUM, Germany). His current research focuses on interactive recommender systems in mobile scenarios such as travel and tourism. He has co-organized and served as a program committee member for a large number of journals, conferences, and workshops, e.g., Co-Chair of the Workshop on Recommenders in Tourism (RecTour) series at the ACM RecSys Conference. Chulmo Koo is Professor and Chair in the Smart Tourism Education Platform (STEP), and Managing Director of the Smart Tourism Research Center (STRC), Kyung Hee University (Seoul, Korea). His current research interests focus on smart tourism, and his work has been published in journals like Tourism Management, Journal of Tourism Research, International Journal of Hospitality Management, Information Technology and People, Electronic Markets, Current Issues in Tourism, Asia Pacific Journal of Tourism Research, and other prominent outlets. Jason L. Stienmetz is Assistant Professor of Tourism Information Technology and Digitalization for the Department of Tourism and Service Management, Modul University Vienna (Austria). His research interests include measuring, modeling, and managing tourism destination systems; visitor experience and value creation; and big data. Dr. Stienmetz serves on the editorial boards of the Journal of Travel Research and the Journal of Information Technology and Tourism.
Inhaltsangabe
Part I: Technology.- The Evolution of Chatbots in Tourism: a Systematic Literature Review.- In-room voice-based digital assistants transforming on-site hotel services and guests' experiences.- Co-Creating Personalised Experiences in the Context of Personalisation-Privacy Paradox.- AI based Self-Service Technology Service Failure in Hotel.- Part II: Innovation.- Loyalty Programs and Direct Website Performance: An Empirical Analysis of Global Hotel Brands.- A Netnographic Study of Consumer Value in Slow Travel.- Coworking & coliving: do they attract digital nomad tourist?.- Robo-tipping: Are customers game?.- Part III: Social Media & User Generated Content.- Tourist experiences at overcrowded attractions: A text analytics approach.- A Pinterest Netnography.- Contextual Effects of Online Review Recency: Three Research Propositions.- Cultural traits in the consumption of luxury hotel services. An exploratory analysis through online reviews data.- Part IV: Destinations.- The Digitized Ecosystem of Tourism in Europe: Current Trends and Implications.- Destination Imagery Diagnosis Model: The Case of Switzerland.- Discovering Cultural Differences through Information Flow of National DMOs Websites.- Smart Tourism Cities' Competitiveness Index: A Conceptual Model.- Part V: COVID-19.- Hear no virus, see no virus, speak no virus: Swiss hotels' online communication regarding Coronavirus.- Factors influencing tourists' intention to use COVID-19 contact tracing app.- Examining Post COVID-19 Tourist Concerns Using Sentiment Analysis and Topic Modeling.- Enhancing the Visitor Experience in the time of COVID 19. The use of AI Robotics in Pembrokeshire Coastal Pathway.
Part I: Technology.- The Evolution of Chatbots in Tourism: a Systematic Literature Review.- In-room voice-based digital assistants transforming on-site hotel services and guests' experiences.- Co-Creating Personalised Experiences in the Context of Personalisation-Privacy Paradox.- AI based Self-Service Technology Service Failure in Hotel.- Part II: Innovation.- Loyalty Programs and Direct Website Performance: An Empirical Analysis of Global Hotel Brands.- A Netnographic Study of Consumer Value in Slow Travel.- Coworking & coliving: do they attract digital nomad tourist?.- Robo-tipping: Are customers game?.- Part III: Social Media & User Generated Content.- Tourist experiences at overcrowded attractions: A text analytics approach.- A Pinterest Netnography.- Contextual Effects of Online Review Recency: Three Research Propositions.- Cultural traits in the consumption of luxury hotel services. An exploratory analysis through online reviews data.- Part IV: Destinations.- The Digitized Ecosystem of Tourism in Europe: Current Trends and Implications.- Destination Imagery Diagnosis Model: The Case of Switzerland.- Discovering Cultural Differences through Information Flow of National DMOs Websites.- Smart Tourism Cities' Competitiveness Index: A Conceptual Model.- Part V: COVID-19.- Hear no virus, see no virus, speak no virus: Swiss hotels' online communication regarding Coronavirus.- Factors influencing tourists' intention to use COVID-19 contact tracing app.- Examining Post COVID-19 Tourist Concerns Using Sentiment Analysis and Topic Modeling.- Enhancing the Visitor Experience in the time of COVID 19. The use of AI Robotics in Pembrokeshire Coastal Pathway.
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