Special Issue "Data Science in Tourism and Hospitality"

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

Deadline for manuscript submissions: 20 October 2021.

Special Issue Editors

Prof. Dr. Sérgio Moro
E-Mail Website
Guest Editor
Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR-IUL, Lisboa, Portugal
Interests: Data Science; Decision Support; Business Intelligence; Tourism; Hospitality; Marketing
Prof. Dr. Ricardo Filipe Ramos
E-Mail Website
Guest Editor
1. Instituto Politécnico de Coimbra, Escola Superior de Gestão e Tecnologias de Oliveira do Hospital, Oliveira do Hospital, Portugal
2. Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR-IUL, Lisboa, Portugal
3. CICEE – Centro de Investigação em Ciências Económicas e Empresariais, Universidade Autónoma de Lisboa, Lisboa, Portugal
Interests: Marketing; Tourism; Consumer Behavior

Special Issue Information

Dear Colleagues,

The world is hungering for data and keeps producing it at an unprecedent rate. Studies within the social sciences are benefiting from such large volumes of data and taking data-driven approaches based on Data Science methods to extract knowledge that leverages decision support. Specifically, tourism and hospitality research is using Data Science to analyze both structured and unstructured data originating from a manifold of sources (Rita et al., 2018).

Given the above context, this Special Issue calls for papers that take Data Science approaches based on tourism and/or hospitality data to increase our knowledge of tourism. Topics of interest for this Special Issue include:

  • tourism education from a sustainability perspective;
  • social media analysis in tourism;
  • data analytics for increased tourism sustainability;
  • impact of the COVID-19 pandemic on hospitality analyzed through a data science approach;
  • sustainable hospitality management from a financial performance perspective;
  • tourism strategy, innovation, and trends;
  • ecological tourism sustainability;
  • tourism management: environmental sustainability;
  • eTourist behavior for hospitality industry sustainability;
  • tourism circular economy;
  • tourism green economy;
  • artificial intelligence and machine learning in tourism;
  • blockchain for tourism sustainability;
  • renewable energy for sustainable tourism;
  • Internet of Things (IoT) for sustainable hospitality;
  • cultural heritage and tourism sustainability;
  • data-driven technologies for tourism sustainability;
  • city break tourism: sustainability for tourist satisfaction;
  • infrastructure sustainability for sustainable tourism;
  • transport sustainability from a tourism perspective; and
  • sustainable demographic tourist visitors.

Nevertheless, the call is broad in its scope and may include many other related themes not mentioned above.

Prof. Dr. Sérgio Moro
Prof. Dr. Ricardo Filipe Ramos
Guest Editors

Reference:

Rita, P., Rita, N., & Oliveira, C. (2018). Data science for hospitality and tourism. Worldwide Hospitality and Tourism Themes, 10(6), 717-725.

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

  • data science
  • data mining
  • text mining
  • big data
  • data analytics
  • tourism
  • hospitality

Published Papers (4 papers)

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Research

Article
The Role of B Companies in Tourism towards Recovery from the Crisis COVID-19 Inculcating Social Values and Responsible Entrepreneurship in Latin America
Sustainability 2021, 13(14), 7763; https://doi.org/10.3390/su13147763 - 12 Jul 2021
Cited by 2 | Viewed by 538
Abstract
One of the particularities of companies with a social purpose is that, through their business model of B companies, they have incorporated into their processes the necessary mechanisms to obtain, simultaneously, the profits to ensure the existence of the organization in the market. [...] Read more.
One of the particularities of companies with a social purpose is that, through their business model of B companies, they have incorporated into their processes the necessary mechanisms to obtain, simultaneously, the profits to ensure the existence of the organization in the market. At the same time, social value is generated, which is necessary to address the problems of the social crisis caused by COVID-19 and the environmental problems affecting the community. The current global health and economic crisis has opened up the possibility of adopting business model B and focusing more on the individual. Based on the grounded theory method, we have examined 3500 B Corporations in Latin America, of which 57 were examined in 10 countries listed in the Directory of B Corporations for Latin America. The main conclusions are that B Corporations dedicated to tourism through responsible entrepreneurship develop a more inclusive, sustainable and environmentally friendly economy for the benefit of society, go beyond the notion of CSR and move away from traditional business, as B Corporations combine social development and economic growth. Full article
(This article belongs to the Special Issue Data Science in Tourism and Hospitality)
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Article
Lifestyle Experiences: Exploring Key Attributes of Lifestyle Hotels Using Instagram User-Created Contents in South Korea
Sustainability 2021, 13(5), 2591; https://doi.org/10.3390/su13052591 - 01 Mar 2021
Viewed by 668
Abstract
This study aims to investigate the key attributes of a steadily growing hotel sector (lifestyle hotels), which has shown great success in the global competitive market, by analyzing user-created content on Instagram. The dataset used in this study were prepared from a total [...] Read more.
This study aims to investigate the key attributes of a steadily growing hotel sector (lifestyle hotels), which has shown great success in the global competitive market, by analyzing user-created content on Instagram. The dataset used in this study were prepared from a total of 20,999 lifestyle hotel posts and 24,262 boutique hotel posts created from 2013 to 2020 and retrieved using a Python web crawler. The locations, hashtags, and image data were analyzed based on frequency analysis using social network analysis methods and computer vision technology, after which they were visualized with a geographical information system and Gephi. The results demonstrated that lifestyle hotels share key attributes that differentiate them from others in terms of physical, geospatial, and experiential contexts. Design, location, and management type are the main attributes that comprise the distinct identity of each lifestyle hotel. Moreover, a lifestyle hotel is distinct from a boutique hotel in that staying in the former means consuming experiences with continuous changes. The information and knowledge gained from this research will contribute to bridging the gap between theoretical literature and the practical development of lifestyle hospitality. Full article
(This article belongs to the Special Issue Data Science in Tourism and Hospitality)
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Article
An Evaluation of Green Ryokans through a Tourism Accommodation Survey and Customer-Satisfaction-Related CASBEE–IPA after COVID-19 Pandemic
Sustainability 2021, 13(1), 145; https://doi.org/10.3390/su13010145 - 25 Dec 2020
Cited by 4 | Viewed by 1402
Abstract
Following the outbreak of the COVID-19 pandemic, it became significant to study how to improve the customer satisfaction for Japanese tourist accommodations for restart and recovery in the future, and in preparation for the 2021 Japan Olympics. Therefore, the current paper attempts to [...] Read more.
Following the outbreak of the COVID-19 pandemic, it became significant to study how to improve the customer satisfaction for Japanese tourist accommodations for restart and recovery in the future, and in preparation for the 2021 Japan Olympics. Therefore, the current paper attempts to evaluate ryokans through descriptive statistics from a tourism accommodation survey and customer-satisfaction-related comprehensive assessment system for built environment efficiency (CASBEE) importance–performance analysis (IPA). Through three progressive studies, three findings were obtained: (1) ryokans are more flexible than hotels, have strong anti-risk capabilities, and have received more and more attention from tourists and support from the Japanese government; (2) improvement strategies for customer satisfaction after COVID-19 were provided from IPA; and (3) a dynamic evaluation model of green ryokans was discussed and may be employed in other countries and regions experiencing the same situation. Full article
(This article belongs to the Special Issue Data Science in Tourism and Hospitality)
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Article
Exploring User-Generated Content for Improving Destination Knowledge: The Case of Two World Heritage Cities
Sustainability 2020, 12(22), 9654; https://doi.org/10.3390/su12229654 - 19 Nov 2020
Cited by 2 | Viewed by 751
Abstract
This study explores two World Heritage Sites (WHS) as tourism destinations by applying several uncommon techniques in these settings: Smart Tourism Analytics, namely Text mining, Sentiment Analysis, and Market Basket Analysis, to highlight patterns according to attraction, nationality, and repeated visits. Salamanca (Spain) [...] Read more.
This study explores two World Heritage Sites (WHS) as tourism destinations by applying several uncommon techniques in these settings: Smart Tourism Analytics, namely Text mining, Sentiment Analysis, and Market Basket Analysis, to highlight patterns according to attraction, nationality, and repeated visits. Salamanca (Spain) and Coimbra (Portugal) are analyzed and compared based on 8,638 online travel reviews (OTR), from TripAdvisor (2017–2018). Findings show that WHS reputation does not seem to be relevant to visitors-reviewers. Additionally, keyword extraction reveals that the reviews do not differ from language to language or from city to city, and it was also possible to identify several keywords related to history and heritage; in particular, architectural styles, names of kings, and places. The study identifies topics that could be used by destination management organizations to promote these cities, highlights the advantages of applying a data science approach, and confirms the rich information value of OTRs as a tool to (re)position the destination according to smart tourism design tenets. Full article
(This article belongs to the Special Issue Data Science in Tourism and Hospitality)
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