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Attributes influencing guests’ experiences: a comparison of nonprofit and for-profit peer-to-peer accommodation platforms Information Technology & Tourism (IF 6.093) Pub Date : 2024-04-16 Vivian C. Medina-Hernandez, Estela Marine-Roig, Berta Ferrer-Rosell
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Simulation of recommender systems driven tourism promotion campaigns Information Technology & Tourism (IF 6.093) Pub Date : 2024-03-30 Greta Piliponyte, David Massimo, Francesco Ricci
With overtourism becoming an increasingly widespread problem, it is becoming more and more important to better analyse trends of tourists’ arrivals in a region, and to foresee the effects that alternative promotion campaigns, if delivered on an online destination platform, may have on the distribution of tourists in the region’s destinations. To facilitate this analysis, the study proposes a tool that
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Investigating the impact of autonomy on presence: a comparative analysis on sense of presence and telepresence Information Technology & Tourism (IF 6.093) Pub Date : 2024-03-21 Guang Liu, Boshi Tian
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Quantifying differences between UGC and DMO’s image content on Instagram using deep learning Information Technology & Tourism (IF 6.093) Pub Date : 2024-01-04 Ángel Díaz-Pacheco, Rafael Guerrero-Rodríguez, Miguel Á. Álvarez-Carmona, Ansel Y. Rodríguez-González, Ramón Aranda
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Does algorithmic filtering lead to filter bubbles in online tourist information searches? Information Technology & Tourism (IF 6.093) Pub Date : 2023-12-29 Yaqi Gong, Ashley Schroeder, Bing Pan, S. Shyam Sundar, Andrew J. Mowen
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Assessing the helpfulness of hotel reviews for information overload: a multi-view spatial feature approach Information Technology & Tourism (IF 6.093) Pub Date : 2023-12-14 Yang Liu, Xingchen Ding, Maomao Chi, Jiang Wu, Lili Ma
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Understanding the adoption of data-driven decision-making practices among Canadian DMOs Information Technology & Tourism (IF 6.093) Pub Date : 2023-12-05 Michelle Novotny, Rachel Dodds, Philip R. Walsh
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Big data analytics of online news to explore destination image using a comprehensive deep-learning approach: a case from Mexico Information Technology & Tourism (IF 6.093) Pub Date : 2023-12-01 Rafael Guerrero-Rodríguez, Miguel Á. Álvarez-Carmona, Ramón Aranda, Ángel Díaz-Pacheco
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Reaching new heights: investigating adoption factors shaping the moon landing of metaverse tourism Information Technology & Tourism (IF 6.093) Pub Date : 2023-10-17 Rajat Kumar Behera, Pradip Kumar Bala, Nripendra P. Rana
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Instagram travel influencers coping with COVID-19 travel disruption Information Technology & Tourism (IF 6.093) Pub Date : 2023-10-18 Andrei Kirilenko, Katarzyna Emin, Karen C. N. Tavares
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The influence of AI and smart apps on tourist public transport use: applying mixed methods Information Technology & Tourism (IF 6.093) Pub Date : 2023-10-09 Myung Ja Kim, C. Michael Hall, Namho Chung
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Does familiarity with the attraction matter? Antecedents of satisfaction with virtual reality for heritage tourism Information Technology & Tourism (IF 6.093) Pub Date : 2023-09-27 Kichan Nam, Jeff Baker, Christopher S. Dutt
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Metaverse for tourists and tourism destinations Information Technology & Tourism (IF 6.093) Pub Date : 2023-09-21 Stelios Ioannidis, Alexios-Patapios Kontis
In response to the growing need for in-depth research on how the metaverse impacts our daily interactions, this study aims to explore the ways in which tourism can be transformed by the metaverse and its underlying technologies, considering both the supply and demand sides. Through an extensive literature review, a grand variety of relevant articles from academic and business sources has been collected
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Deep resource allocation for a massively multiplayer online finance of tourism gamification in metaverse Information Technology & Tourism (IF 6.093) Pub Date : 2023-09-19 Chung-Hua Chu
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Metaverse and tourism development: issues and opportunities in stakeholders’ perception Information Technology & Tourism (IF 6.093) Pub Date : 2023-09-20 Gioacchino Fazio, Stefano Fricano, Salvatore Iannolino, Claudio Pirrone
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Beta tourist world: a conceptual framework for organizing an event in the metaverse Information Technology & Tourism (IF 6.093) Pub Date : 2023-09-07 Ilkay Tas Gursoy, Erdem Aktas, Vahap Tecim, O. Avsar Kurgun
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The determinants of the adoption of blockchain technology in the tourism sector and metaverse perspectives Information Technology & Tourism (IF 6.093) Pub Date : 2023-09-05 Aurélie Corne, Véronique Massot, Saida Merasli
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Will a technology-featured authentic shopping environment motivate participants’ purchasing behavior in tourism live-streamed shopping? Information Technology & Tourism (IF 6.093) Pub Date : 2023-09-05 Xueyan(Even) Xu, Jiahui Huang, Dan Huang, Xinyu Shang
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ARTour: an augmented reality collaborative experience for enhancing tourism Information Technology & Tourism (IF 6.093) Pub Date : 2023-08-25 Menna Elshahawy, Safa Magdy, Nada Sharaf
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Deepsea: a meta-ocean prototype for undersea exploration Information Technology & Tourism (IF 6.093) Pub Date : 2023-08-22 Jinyu Li, Ping Hu, Weicheng Cui, Tianyi Huang, Shenghui Cheng
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Metaverse in the tourism sector for talent management: a technology in practice lens Information Technology & Tourism (IF 6.093) Pub Date : 2023-08-14 Debolina Dutta, Yuvaraj Srivastava, Eshmeeta Singh
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An empirical study of the impact of metaverse storytelling on intentions to visit Information Technology & Tourism (IF 6.093) Pub Date : 2023-08-11 Wenkun Zhang, Yanan Wang
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Urban tourists’ spatial distribution and subgroup identification in a metropolis --the examination applying mobile signaling data and latent profile analysis Information Technology & Tourism (IF 6.093) Pub Date : 2023-08-09 Cheng Shi, Yujia Zhai, Dongying Li
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Exploring the psychological effects of Metaverse on mental health and well-being Information Technology & Tourism (IF 6.093) Pub Date : 2023-08-08 Ikram Ud Din, Ahmad Almogren
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Understanding the development of blockchain-empowered metaverse tourism: an institutional perspective Information Technology & Tourism (IF 6.093) Pub Date : 2023-08-08 Katsy Jiaxin Lin, Huiyue Ye, Rob Law
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A user experience perspective on heritage tourism in the metaverse: Empirical evidence and design dilemmas for VR Information Technology & Tourism (IF 6.093) Pub Date : 2023-08-07 Jeff Baker, Kichan Nam, Christopher S. Dutt
The tourism industry will be shaped by the growth and development of the metaverse in the coming decades. Virtual reality (VR) will enable the creation of virtual worlds, avatars, digital twins, and new social networks. These technologies can be utilized in tourism to enable travelers to preview real-world experiences, to enhance experiences while on-site, to relive experiences after travel, or in
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Tourism in the digital frontier: a study on user continuance intention in the metaverse Information Technology & Tourism (IF 6.093) Pub Date : 2023-08-04 Hyeon Jo
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Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development Information Technology & Tourism (IF 6.093) Pub Date : 2023-06-20 Huy Quan Vu, Shah Jahan Miah, Haiyang Xia, Gang Li, Birgit Muskat, Rob Law
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Attitudes towards machine translation and languages among travelers Information Technology & Tourism (IF 6.093) Pub Date : 2023-06-12 Inês Carvalho, Ana Ramires, Montserrat Iglesias
Machine translation (MT), i.e., automatic translation, is a growing field in artificial intelligence with huge impacts on societies and businesses. Despite its importance for traveling and tourism communication, it has not been approached within tourism research. This study aims to fill this gap in knowledge by analyzing how attitudes toward machine translation are related to tourists’ profiles, travel
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Technology and museum visitor experiences: a four stage model of evolution Information Technology & Tourism (IF 6.093) Pub Date : 2023-06-01 Siqi Emily Lu, Brent Moyle, Sacha Reid, Elaine Yang, Biqiang Liu
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Embracing geospatial analytical technologies in tourism studies Information Technology & Tourism (IF 6.093) Pub Date : 2023-04-19 Yang Yang, Xiang Chen, Song Gao, Zhenlong Li, Zhe Zhang, Bo Zhao
With the ongoing development of information and communications technology, geospatial technologies have become increasingly important in monitoring, managing, and predicting tourism activities. These tools can also uncover tourism’s social, economic, cultural, environmental, and political impacts. In this viewpoint article, we discuss applications of cutting-edge geospatial analysis in tourism studies
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Explicating affordances in travel information search: investigating device use in relation to goals and personal characteristics Information Technology & Tourism (IF 6.093) Pub Date : 2023-04-18 Zohreh (Zara) Zarezadeh, Pierre Benckendorff, Ulrike Gretzel
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ChatGPT for e-Tourism: a technological perspective Information Technology & Tourism (IF 6.093) Pub Date : 2023-04-11 Luisa Mich, Roberto Garigliano
The interest around the conversational system ChatGPT has exploded since OpenAI launched the GPT-3 prototype at the end of November 2022. Applications of ChatGPT could be disruptive for the digital transformation processes, challenging societies, companies, and people in a possibly unprecedented way. Alongside remarkable performances, there are risks related to its intrinsic limitations. In this viewpoint
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Psychological recovery effects of 3D virtual tourism with real scenes -- a comparative study Information Technology & Tourism (IF 6.093) Pub Date : 2023-03-16 Shuangquan Zhang, Yimin Tan, Yongde Zhong, Jianqiong Yuan, Ying Ding
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How do sensory features of places impact on spatial exploration of people with autism? A user study Information Technology & Tourism (IF 6.093) Pub Date : 2023-03-01 Federica Cena, Noemi Mauro, Amon Rapp
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Interactive webcam travel: supporting wildlife tourism and conservation during COVID-19 lockdowns Information Technology & Tourism (IF 6.093) Pub Date : 2023-02-13 Madelene Blaer
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Enhancing sustainable development through tourism digitalisation: a systematic literature review Information Technology & Tourism (IF 6.093) Pub Date : 2022-12-05 Vitor Rodrigues, Celeste Eusébio, Zélia Breda
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Developing a model for smart tourism destinations: an interpretive structural modelling approach Information Technology & Tourism (IF 6.093) Pub Date : 2022-11-24 Sanaz Shafiee, Ali Rajabzadeh Ghatari, Alireza Hasanzadeh, Saeed Jahanyan
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Assessing pre-travel online destination experience values of destination websites: scale development and validation Information Technology & Tourism (IF 6.093) Pub Date : 2022-11-07 Anne Köchling, Martin Lohmann
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Live-streaming community interaction effects on travel intention: the mediation role of sense of community and swift-guanxi Information Technology & Tourism (IF 6.093) Pub Date : 2022-11-03 Wenkun Zhang, Yanan Wang, Tao Zhang, Jinhua Chu
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Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case study Information Technology & Tourism (IF 6.093) Pub Date : 2022-10-17 Almudena Nolasco-Cirugeda, Clara García-Mayor, Cristina Lupu, Alvaro Bernabeu-Bautista
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A digital humanism view on e-tourism Information Technology & Tourism (IF 6.093) Pub Date : 2022-10-11 Hannes Werthner
Informatics, its artefacts and methods, change our society and world, from the individual personal level up to the current geo-political powerplay. Today, Information Technology (IT) serves as the operating system of our society. From an ontological point of view Informatics influences also how we perceive the world and how we think about it. This change has happened during the short span of last half
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The pandemic of loneliness: designing smart tourism for combating loneliness Information Technology & Tourism (IF 6.093) Pub Date : 2022-08-19 Uglješa Stankov, Ulrike Gretzel, Miroslav D. Vujičić, Vanja Pavluković, Tamara Jovanović, Milica Solarević, Marija Cimbaljević
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How does celebrity involvement influence travel intention? The case of promoting Chengdu on TikTok Information Technology & Tourism (IF 6.093) Pub Date : 2022-08-10 Chris Zhu, Lawrence Hoc Nang Fong, Huicai Gao, Dimitrios Buhalis, Ziye Shang
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An enabling Framework for Blockchain in Tourism Information Technology & Tourism (IF 6.093) Pub Date : 2022-08-08 Sreejith Balasubramanian, Jaspreet Singh Sethi, Shalini Ajayan, Cody Morris Paris
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Visitors flow management at Uffizi Gallery in Florence, Italy Information Technology & Tourism (IF 6.093) Pub Date : 2022-07-28 Alessandro Attanasio, Maurizio Maravalle, Henry Muccini, Fabrizio Rossi, Gianluca Scatena, Francesco Tarquini
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Asymmetrical impact of service attribute performance on consumer satisfaction: an asymmetric impact-attention-performance analysis Information Technology & Tourism (IF 6.093) Pub Date : 2022-06-27 Mengqiang Pan, Nao Li, Xiankai Huang
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Immersive technologies for tourism: a systematic review Information Technology & Tourism (IF 6.093) Pub Date : 2022-06-22 Eko Harry Pratisto, Nik Thompson, Vidyasagar Potdar
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Mapping tourism and hospitality research on information and communication technology: a bibliometric and scientific approach Information Technology & Tourism (IF 6.093) Pub Date : 2022-06-20 Arturo Molina-Collado, Mar Gómez-Rico, Marianna Sigala, María Victoria Molina, Evangelina Aranda, Yolanda Salinero
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Enhancing social media branded content effectiveness: strategies via telepresence and social presence Information Technology & Tourism (IF 6.093) Pub Date : 2022-05-27 Guanrong Liu, Soey Sut Ieng Lei, Rob Law
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Automatic generation of sailing holiday itineraries using vessel density data and semantic technologies Information Technology & Tourism (IF 6.093) Pub Date : 2022-03-15 Andreas Komninos, Charalampos Kostopoulos, John Garofalakis
Sailing holiday activities represent a significant portion of the Blue Economy growth in Europe and across the world. Due to the global financial crisis, yacht ownership has declined, but demand for such holiday products remained steady, therefore shifting the yachters profile towards younger and less experienced consumers who prefer to charter boats, rather than own one. Boat chartering offers more
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Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations Information Technology & Tourism (IF 6.093) Pub Date : 2022-03-07 Jian-Wu Bi, Tian-Yu Han, Yanbo Yao, Hui Li
Although travelers tend to consider multi-dimensional hotel information when choosing their accommodation, few online travel agency (OTA) websites allow them to express their preferences and expectations for the selection criteria to obtain customized hotel ranking results. The lack of this function makes travelers have to spend extra time and effort in comparing different hotels to make the final
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Interpreting the perceptions of authenticity in virtual reality tourism through postmodernist approach Information Technology & Tourism (IF 6.093) Pub Date : 2022-02-20 Bo Wendy Gao, Chris Zhu, Hongmei Song, Ianthe M. Belisle Dempsey
Based on the authenticity theory and limited extant research on virtual reality (VR) tourism experience, this study aims to extend authenticity theory by focusing on perceptions of authenticity from postmodernist approach and developing a theoretical framework for tourists participating in VR tourism experience. In-depth interviews were conducted with 28 respondents, and thematic analysis was adopted
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Deep learning model based on expectation-confirmation theory to predict customer satisfaction in hospitality service Information Technology & Tourism (IF 6.093) Pub Date : 2022-02-15 Soyoung Oh, Honggeun Ji, Jina Kim, Eunil Park, Angel P. del Pobil
Customer satisfaction is one of the most important measures in the hospitality industry. Therefore, several psychological and cognitive theories have been utilized to provide appropriate explanations of customer perception. Owing to recent rapid developments in artificial intelligence and big data, novel methodologies have presented to examine several psychological theories applied in the hospitality
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Book Review "Gamification for Tourism" Information Technology & Tourism (IF 6.093) Pub Date : 2022-01-25 Katerina Volchek
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Can Google Trends data provide information on consumer’s perception regarding hotel brands? Information Technology & Tourism (IF 6.093) Pub Date : 2022-01-11 Hulya Bakirtas, Vildan Gulpinar Demirci
Previous studies show that search engine query data is a valuable predictor for tourism demand forecasting. The goals of this study are to identify the current positions of hotels in the perception of the customer and to propose a method for practitioners to increase the visibility of consumer's mind perception of hotel brands. The study used volume of travel queries 30 hotel chains in the Turkey constructed
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Profiling early adopters of blockchain-based hotel booking applications: demographic, psychographic, and service-related factors Information Technology & Tourism (IF 6.093) Pub Date : 2022-01-03 Strebinger, Andreas, Treiblmaier, Horst
To successfully introduce blockchain-enabled booking platforms in the tourism and hospitality industry, providers need to understand their target audiences. We present the results of a survey of 505 US consumers who, in a simulated hotel booking scenario for a leisure trip, picked between traditional Online Travel Agencies (OTA) and a blockchain-enabled booking app with varying degrees of services
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The use of 360-degree virtual tours to promote mountain walking tourism: stimulus–organism–response model Information Technology & Tourism (IF 6.093) Pub Date : 2021-12-02 Wu, Xiaohong, Lai, Ivan Ka Wai
Based on the stimulus–organism–response (S–O–R) theory, this study attempts to investigate how the use of 360-degree virtual mountain walking tours can motivate audiences’ intention to take a real walking in the mountains. The survey results from 320 samples after watching a 360-degree virtual video reveal the positive influence of vividness (stimulus) on presence, emotional involvement, flow state
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Book Review "Digital and Social Media Marketing: Emerging Applications and Theoretical Development" Information Technology & Tourism (IF 6.093) Pub Date : 2021-11-22 Hsuan Hsu
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An affective approach to modelling intentions to use technologies for social distancing in hotels Information Technology & Tourism (IF 6.093) Pub Date : 2021-11-03 Morosan, Cristian
In response to the global COVID-19 pandemic, the U.S. hotels have deployed service models that facilitate social distancing by using information technology. Based on emotion theories, this study built a conceptual model that explains consumers’ intentions to use several personal and public technologies for social distancing in hotels (e.g., electronic menus, mobile apps). The model tested relationships