Mostra el registre parcial de l'element
The use of GPT and social media for operations management. Application in hospitality smart services
| dc.contributor | Universitat Ramon Llull. La Salle | |
| dc.contributor | Universidad ICESI | |
| dc.contributor.author | Ariza, Esteban | |
| dc.contributor.author | Giraldo, Johan | |
| dc.contributor.author | Valdés, Mateo | |
| dc.contributor.author | Grimaldi, Didier | |
| dc.date.accessioned | 2026-03-17T19:36:10Z | |
| dc.date.available | 2026-03-17T19:36:10Z | |
| dc.date.created | 2024 | |
| dc.date.issued | 2024-09-25 | |
| dc.identifier.isbn | 9781643685434 | ca |
| dc.identifier.issn | 1879-8314 | ca |
| dc.identifier.uri | http://hdl.handle.net/20.500.14342/6076 | |
| dc.description.abstract | Users can share their opinion visiting a restaurant or a hotel by Online Generated Reviews (OGRs) on platforms such as TripAdvisor, Booking or Yelp. Put all together, they are thousands of sentences which are quite difficult to seize for a human and to get a comprehensive opinion of the location. This study proposes a Decision Support System (DSS) composed of three modules (extraction of information from TripAdvisor comments, summarizing and rating). Compared to prior Research, our solution proposes a Neural Network Transformer-based system to summarize and rate thousands of TripAdvisor comments. Our results are bifold. First, the analysis of massive comments downloads reveals a bias between the real customer experience based on verbal opinions and the ratings scored in stars. Second, we present and online host a DSS which provides a summary of customer experiences per hotel. For Research in Tourism and Hospitality, it represents a new milestone in the artificial Intelligence journey and an application of Generative Pretrained Transformer (GPT) model. For operation Managers, it is a novel application of the use of artificial intelligence to embrace the digital revolution. Indeed, it helps to determine what customers value most and determine adequate action plan to business requirements. | ca |
| dc.format.extent | 4 p. | ca |
| dc.language.iso | eng | ca |
| dc.publisher | IOS Press | ca |
| dc.relation.ispartof | Artificial Intelligence Research and Development - Proceedings of the 26th International Conference of the Catalan Association for Artificial Intelligence | ca |
| dc.rights | © L'autor/a | ca |
| dc.rights | Attribution-NonCommercial 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject.other | Natural language processing | ca |
| dc.subject.other | Sentiment analysis | ca |
| dc.subject.other | Neural network transformer | ca |
| dc.subject.other | Hotel industry | ca |
| dc.subject.other | Artificial intelligence | ca |
| dc.title | The use of GPT and social media for operations management. Application in hospitality smart services | ca |
| dc.type | info:eu-repo/semantics/article | ca |
| dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
| dc.embargo.terms | cap | ca |
| dc.subject.udc | 004 | ca |
| dc.subject.udc | 62 | ca |
| dc.subject.udc | 65 | ca |
| dc.identifier.doi | https://doi.org/10.3233/FAIA240425 | ca |
| dc.description.version | info:eu-repo/semantics/publishedVersion | ca |

