Scientific production on revenue management in tourism on Web of Science and SCOPUS
This research constitutes a bibliometric and content study work about research on Revenue Management in Tourism included in the Web of Science and SCOPUS databases between 1989-2013 (25 years-period). The study analyses the evolution and trend, the origin of the scientific production (by countries,...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/160696 |
| Acceso en línea: | https://hdl.handle.net/11441/160696 https://doi.org/10.1080/13683500.2018.1564738 |
| Access Level: | acceso abierto |
| Palabra clave: | Revenue Management Scientific production Bibliometric analysis Web of Science SCOPUS |
| Sumario: | This research constitutes a bibliometric and content study work about research on Revenue Management in Tourism included in the Web of Science and SCOPUS databases between 1989-2013 (25 years-period). The study analyses the evolution and trend, the origin of the scientific production (by countries, authors, universities and companies, and the collaboration between them), its dissemination (journals) and content (research methods and Revenue Management strategies). A total of 293 works centred on Revenue Management in Tourism (638 signatures) of 433 authors from 183 universities and 56 companies which have been published in 67 journals have been identified and classified by the authors of this research in accordance with the measurements analysed. The results confirm an annual growth rate of 15.9%. The research originates in countries of the 5 continents, 2% of authors sign 83% of the production and most of this production comes from Universities (83%). Collaboration between institutions is around 27% of the cases. 6 journals accumulate 48% of the research published. Models and/or simulations are the research methodologies most used (59%), and capacity management (43%) the main strategy studied. The findings will facilitate both the design of future research and the establishing of collaboration strategies between authors and/or institutions. |
|---|