IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i13p8049-d853679.html
   My bibliography  Save this article

Tourism Sustainability Index: Measuring Tourism Sustainability Based on the ETIS Toolkit, by Exploring Tourist Satisfaction via Sentiment Analysis

Author

Listed:
  • Damiano De Marchi

    (The Data Appeal Company, Via del Tiratoio, 1, 50124 Firenze, Italy)

  • Rudy Becarelli

    (The Data Appeal Company, Via del Tiratoio, 1, 50124 Firenze, Italy)

  • Leonardo Di Sarli

    (The Data Appeal Company, Via del Tiratoio, 1, 50124 Firenze, Italy)

Abstract

Interest in measuring the sustainability of tourism has been significantly advancing in recent years, together with the need to manage the impact of tourism on territories and hosting communities. This interest was further boosted by the pandemic, with sustainability being identified as one of the central elements in restarting global tourism. The European Tourism Indicator System (ETIS), developed by the European Commission, is a point of reference based on self-assessment, data collection, and analysis by tourist destinations themselves. The application of the ETIS toolkit has faced many challenges, especially at the subnational level, most of which are related to the lack of available and updated data to feed into the model. In this article, we explore the implementation issues, develop a synthetic indicator based on the use of the sentiment analysis technique to frame e-reputation and tourism satisfaction, and combine that analysis with other open data sources. The Tourism Sustainability Index (TSI) can provide a scalable and georeferenced evaluation of tourism sustainability, measured according the ETIS criteria and complementing them. The TSI, its pillars and sub-components are all applicable to any tourism destination. The results show that the TSI can be a consistent and valid tool for tourist destinations to use in analyzing sustainability, monitoring the evolution of sustainability through time periods and subareas, and comparing the findings with those of other benchmarks and/or other competitive areas.

Suggested Citation

  • Damiano De Marchi & Rudy Becarelli & Leonardo Di Sarli, 2022. "Tourism Sustainability Index: Measuring Tourism Sustainability Based on the ETIS Toolkit, by Exploring Tourist Satisfaction via Sentiment Analysis," Sustainability, MDPI, vol. 14(13), pages 1-18, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8049-:d:853679
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/13/8049/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/13/8049/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cristina Franciele & Thays Christina Domareski Ruiz, 2021. "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," Post-Print hal-03373984, HAL.
    2. Doru Marian Tudorache & Tamara Simon & Cristi Frenț & Mărioara Musteaţă-Pavel, 2017. "Difficulties and Challenges in Applying the European Tourism Indicators System (ETIS) for Sustainable Tourist Destinations: The Case of Braşov County in the Romanian Carpathians," Sustainability, MDPI, vol. 9(10), pages 1-19, October.
    3. Patrizia Modica & Alessandro Capocchi & Ilaria Foroni & Mariangela Zenga, 2018. "An Assessment of the Implementation of the European Tourism Indicator System for Sustainable Destinations in Italy," Sustainability, MDPI, vol. 10(9), pages 1-21, September.
    4. Duan, Wenjing & Gu, Bin & Whinston, Andrew B., 2008. "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry," Journal of Retailing, Elsevier, vol. 84(2), pages 233-242.
    5. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    6. Slovic, Paul & Finucane, Melissa L. & Peters, Ellen & MacGregor, Donald G., 2007. "The affect heuristic," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1333-1352, March.
    7. Prabowo, Rudy & Thelwall, Mike, 2009. "Sentiment analysis: A combined approach," Journal of Informetrics, Elsevier, vol. 3(2), pages 143-157.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Federica Epifani & Donatella Valente, 2023. "Sustainable Governance of Tourism-Based Social–Ecological Landscapes," Sustainability, MDPI, vol. 15(22), pages 1-17, November.
    2. Yuetao Yang & Gowhar Ahmad Wani & V. Nagaraj & Mohammad Haseeb & Sameer Sultan & Md. Emran Hossain & Mustafa Kamal & Syed Mehmood Raza Shah, 2023. "Progress in Sustainable Tourism Research: An Analysis of the Comprehensive Literature and Future Research Directions," Sustainability, MDPI, vol. 15(3), pages 1-15, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    2. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
    3. Kaushik, Kapil & Mishra, Rajhans & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.in," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 21-32.
    4. Yabing Jiang & Hong Guo, 2012. "Design of Consumer Review Systems and Product Pricing," Working Papers 12-10, NET Institute.
    5. Qihua Liu & Xiaoyu Zhang & Liyi Zhang & Yang Zhao, 2019. "The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: an empirical investigation," Electronic Commerce Research, Springer, vol. 19(3), pages 521-547, September.
    6. Rohit Aggarwal & Ram Gopal & Alok Gupta & Harpreet Singh, 2012. "Putting Money Where the Mouths Are: The Relation Between Venture Financing and Electronic Word-of-Mouth," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 976-992, September.
    7. Hui Yuan & Wei Xu & Qian Li & Raymond Lau, 2018. "Topic sentiment mining for sales performance prediction in e-commerce," Annals of Operations Research, Springer, vol. 270(1), pages 553-576, November.
    8. Ilaria Foroni & Patrizia Modica & Mariangela Zenga, 2019. "Residents’ Satisfaction with Tourism and the European Tourism Indicator System in South Sardinia," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    9. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    10. Jiang, Guoyin & Tadikamalla, Pandu R. & Shang, Jennifer & Zhao, Ling, 2016. "Impacts of knowledge on online brand success: an agent-based model for online market share enhancement," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1093-1103.
    11. Giovanna Acampa & Mariolina Grasso & Giorgia Marino & Claudia Mariaserena Parisi, 2020. "Tourist Flow Management: Social Impact Evaluation through Social Network Analysis," Sustainability, MDPI, vol. 12(2), pages 1-16, January.
    12. Young Kwark & Jianqing Chen & Srinivasan Raghunathan, 2014. "Online Product Reviews: Implications for Retailers and Competing Manufacturers," Information Systems Research, INFORMS, vol. 25(1), pages 93-110, March.
    13. Cheng Zhao & Chong Alex Wang, 2023. "A cross-site comparison of online review manipulation using Benford’s law," Electronic Commerce Research, Springer, vol. 23(1), pages 365-406, March.
    14. Sangjae Lee & Joon Yeon Choeh, 2020. "Using the Social Influence of Electronic Word-of-Mouth for Predicting Product Sales: The Moderating Effect of Review or Reviewer Helpfulness and Product Type," Sustainability, MDPI, vol. 12(19), pages 1-18, September.
    15. Marchand, André & Hennig-Thurau, Thorsten & Wiertz, Caroline, 2017. "Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 336-354.
    16. Sulin Ba & Yuan Jin & Xinxin Li & Xianghua Lu, 2020. "One Size Fits All? The Differential Impact of Online Reviews and Coupons," Production and Operations Management, Production and Operations Management Society, vol. 29(10), pages 2403-2424, October.
    17. Sorin-Romulus Berinde & Adrian-Gabriel Corpădean, 2019. "Assessing the Sustainable Room for Growth for a Particular Romanian Tourism Area of Business: The Case of Accommodation Businesses," Sustainability, MDPI, vol. 11(1), pages 1-16, January.
    18. Young Kwark & Gene Moo Lee & Paul A. Pavlou & Liangfei Qiu, 2021. "On the Spillover Effects of Online Product Reviews on Purchases: Evidence from Clickstream Data," Information Systems Research, INFORMS, vol. 32(3), pages 895-913, September.
    19. Pan, Yue & Zhang, Jason Q., 2011. "Born Unequal: A Study of the Helpfulness of User-Generated Product Reviews," Journal of Retailing, Elsevier, vol. 87(4), pages 598-612.
    20. Meiseberg, Brinja, 2016. "The Effectiveness of E-tailers’ Communication Practices in Stimulating Sales of Niche versus Popular Products," Journal of Retailing, Elsevier, vol. 92(3), pages 319-332.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8049-:d:853679. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.