Special Issue "Applications of New Technologies in Tourism Activities"

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

Deadline for manuscript submissions: 15 December 2021.

Special Issue Editors

Prof. Dr. Elena Carvajal-Trujillo
E-Mail Website
Guest Editor
Department of Business Administration and Marketing, University of Huelva, 21071 Huelva, Spain
Interests: adoption of information; tourism marketing; consumer behavior; smart tourism; mobile commerce; social commerce, trust, perceived value
Prof. Dr. David Castilla-Espino
E-Mail Website
Co-Guest Editor
Department of Economy, University of Huelva, 21071 Huelva, Spain
Interests: efficiency and productivity analysis; natural resources and environmental economics; cultural economics; natural resource management

Special Issue Information

Dear Colleagues,

Tourism is a relevant contributor to the gross domestic product (GDP) and the development of economies of countries (Yuce, 2020). It plays a key role at promoting sustainability under certain management frameworks (Tussyadiah and Miller, 2019). New technologies enable the growing development of tourism, making it easier to create services for the tourism industry that focus on generating value for tourists. At the same time, new technologies help to improve the efficiency and automation of the processes of the tourism industry (Buhalis and Amaranggana, 2014; Hew et al., 2017). The most recent technological advances have led the tourism industry to adopt new technologies. Accordingly, information on tourists´ behaviors and preferences in their adoption is a relevant input for decision makers. Therefore, it is required to study new technologies from a tourist perspective to understand their needs and thus ensure the successful implementation of new technologies by the tourism industry. Additionally, it is relevant to analyze the usage of new technologies by the tourism industry. Further, technological advances offer solutions to ensure socioeconomic and environmental sustainability (Tussyadiah and Miller, 2019) and new challenges during the coronavirus pandemic (COVID-19) and later.

This Special Issue is mainly aimed at investigating the effects of new technologies in the tourism context analyzed from the point of view of consumers and/or the tourism industry. Examples of topics for this Special Issue might be new technologies in the tourism context such as big data, Internet of Things (IoT), blockchain, cloud computing, virtual reality, social media, collaborative economy, e-commerce, mobile commerce, mobile payment systems, social commerce, chatbots, robots, voice-activated virtual assistants such as Alexa and Apple Siri, or the role of these technologies in preserving heritage in cultural tourism. Quantitative and qualitative methodologies together with original theoretical contributions are welcome to this Special Issue. Multidisciplinary and interdisciplinary approaches are encouraged in this Special Issue.

Prof. Dr. Elena Carvajal-Trujillo
Prof. Dr. David Castilla-Espino
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.

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 1900 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

  • smart tourism
  • virtual assistants and tourism
  • robotics and tourism
  • resource conservation
  • sustainable tourism
  • cultural tourism and sustainability
  • big data in tourism
  • Internet of Things in tourism
  • emerging technologies in tourism
  • virtual reality in tourism
  • social media in tourism
  • COVID-19
  • apps
  • smartphone
  • information technology acceptance in tourism
  • tourism destination experience
  • internet marketing in tourism
  • tourism industry and new technologies
  • consumer experiences in tourism

Published Papers (2 papers)

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Research

Article
A BERT-Based Multi-Criteria Recommender System for Hotel Promotion Management
Sustainability 2021, 13(14), 8039; https://doi.org/10.3390/su13148039 - 19 Jul 2021
Viewed by 376
Abstract
Numerous reviews are posted every day on travel information sharing platforms and sites. Hotels want to develop a customer recommender system to quickly and effectively identify potential target customers. TripAdvisor, the travel website that provided the data used in this study, allows customers [...] Read more.
Numerous reviews are posted every day on travel information sharing platforms and sites. Hotels want to develop a customer recommender system to quickly and effectively identify potential target customers. TripAdvisor, the travel website that provided the data used in this study, allows customers to rate the hotel based on six criteria: Value, Service, Location, Room, Cleanliness, and Sleep Quality. Existing studies classify reviews into positive, negative, and neutral by extracting sentiment terms through simple sentimental analysis. However, this method has limitations in that it does not consider various aspects of hotels well. Therefore, this study performs fine-tuning the BERT (Bidirectional Encoder Representations from Transformers) model using review data with rating labels on the TripAdvisor site. This study suggests a multi-criteria recommender system to recommend a suitable target customers for the hotel. As the rating values of six criteria of TripAdvisor are insufficient, the proposed recommender system uses fine-tuned BERT to predict six criteria ratings. Based on this predicted ratings, a multi-criteria recommender system recommends personalized Top-N customers for each hotel. The performance of the multi-criteria recommender system suggested in this study is better than that of the benchmark system, a single-criteria recommender system using overall ratings. Full article
(This article belongs to the Special Issue Applications of New Technologies in Tourism Activities)
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Article
Application of Revised Importance–Performance Analysis to Investigate Critical Service Quality of Hotel Online Booking
Sustainability 2021, 13(4), 2043; https://doi.org/10.3390/su13042043 - 14 Feb 2021
Cited by 1 | Viewed by 966
Abstract
This study integrates the three-factor theory and Importance–Performance Analysis (IPA) into a three-dimensional importance–performance analysis (3-D IPA) approach to identify the critical service quality attributes for hotel online booking. A seven-point Likert-type scale of service quality measurement was designed in the survey and [...] Read more.
This study integrates the three-factor theory and Importance–Performance Analysis (IPA) into a three-dimensional importance–performance analysis (3-D IPA) approach to identify the critical service quality attributes for hotel online booking. A seven-point Likert-type scale of service quality measurement was designed in the survey and the participants (foreign independent tourists) were randomly selected at Taoyuan International Airport, Taiwan. A total of 453 participants were identified. The classification of the factors was based on the explicit importance, while the implicit importance was measured with the relationship of satisfaction by using the ordered probit model. The results, compared to the traditional method of partial correlation analysis, were different in the dimensions of Fulfillment and Responsiveness, Safety and Security, Website Functionality, and Customer Relationships. In conclusion, this study broadens the perspective of research method and improves the performance evaluation of e-service quality attributes. The empirical results provide recommendations and policy implications for resource allocation of hotel management. Full article
(This article belongs to the Special Issue Applications of New Technologies in Tourism Activities)
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