Scientific journal paper Q1
Can we trace back hotel online reviews’ characteristics using gamification features?
Sérgio Moro (Moro, S.); Pedro Ramos (Ramos, P.); Joaquim Esmerado (Esmerado, J.); Seyed Mohammad Jafar Jalali (Jalali, S. M. J.);
Journal Title
International Journal of Information Management
Year (definitive publication)
2019
Language
English
Country
United Kingdom
More Information
Web of Science®

Times Cited: 64

(Last checked: 2024-12-23 10:02)

View record in Web of Science®


: 0.8
Scopus

Times Cited: 70

(Last checked: 2024-12-16 19:01)

View record in Scopus


: 0.7
Google Scholar

Times Cited: 109

(Last checked: 2024-12-22 16:33)

View record in Google Scholar

Abstract
Gamification is here to stay, and tourism and hospitality online review platforms are taking advantage of it to attract travelers and motivate them to contribute to their websites. Yet, literature in tourism is scarce in studying how effectively is users’ behavior changing through gamification features. This research aims at filling such gap through a data-driven approach based on a large volume of online reviews (a total of 67,685) collected from TripAdvisor between 2016 and 2017. Four artificial neural networks were trained to model title and review's word length, and title and review's sentiment score, using as input 12 gamification features used in TripAdvisor including points and badges. After validating the accuracy of the model for extracting knowledge, the data-based sensitivity analysis was applied to understand how each of the 12 features contributed to explaining review length and its sentiment score. Three badge features were considered the most relevant ones, including the total number of badges, the passport badges, and the explorer badges, providing evidence of a relation between gamification features and traveler's behavior when writing reviews.
Acknowledgements
--
Keywords
Gamification,Hospitality,Hotels,Neural networks,Online reviews,Sentiment analysis
  • Computer and Information Sciences - Natural Sciences
  • Economics and Business - Social Sciences
Funding Records
Funding Reference Funding Entity
UID/MULTI/0446/2013 Fundação para a Ciência e a Tecnologia
UID/EEA/50008/2013 Fundação para a Ciência e a Tecnologia

With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência-IUL. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.