| Revista: | BAR - Brazilian Administration Review |
| Base de datos: | CLASE |
| Número de sistema: | 000496245 |
| ISSN: | 1807-7692 |
| Autors: | Marcolin, Carla1 Becker, Joao Luiz2 Wild, Fridolin3 Schiavi, Giovana4 Behr, Ariel4 |
| Institucions: | 1Universidade Federal de Uberlandia, Uberlandia, Minas Gerais. Brasil 2Fundacao Getulio Vargas, Sao Paulo. Brasil 3Oxford Brookes University, Oxford, Oxfordshire. Reino Unido 4Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul. Brasil |
| Any: | 2019 |
| Període: | Abr-Jun |
| Volum: | 16 |
| Número: | 2 |
| Paginació: | 1-24 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | Business Analytics leverages value from data, thus being an important tool for the decisionmaking process. However, the presence of data in different formats is a new challenge for analysis. Textual data has been drawing organizational attention as thousands of people express themselves daily in text, like the description of customer perceptions in the tourism and hospitality area. Despite the relevance of customer data in textual format to support decision making of hotel managers, its use is still modest, given the difficulty of analyzing and interpreting the large amounts of data. Our objective is to identify the main evaluation topics presented in online guest reviews and reveal changes throughout the years. We worked with 23,229 hotel reviews collected from TripAdvisor website through WebScrapping packages in R, and used a text mining approach (Latent Semantic Analysis) to analyze the data. This contributes with practical implications to hotel managers by demonstrating the applicability of text data and tools based on open-source solutions and by providing insights about the data and assisting in the decisionmaking process. This article also contributes in presenting a stepwise text analysis, including capturing, cleaning and formatting publicly available data for organizational specialists |
| Disciplines | Economía |
| Paraules clau: | Econometría, Brasil, Minas Gerais, Porto Alegre, Turismo, Minería de textos, Análisis econométrico, Hoteles, Reseñas |
| Text complet: | https://biblat.unam.mx/hevila/BARBrazilianadministrationreview/2019/vol16/no2/5.pdf |
