Accelerating research processes with Scopus AI: a place branding case study
Academic databases play a crucial role in advancing science by hosting a vast array of peer-re-viewed literature. However, academic database search tools involve a relatively slow and ra-ther unintuitive process of searching and evaluating content. To address these challenges, in January 2024, Elsev...
| Autores: | , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/60207 |
| Acesso em linha: | http://hdl.handle.net/10230/60207 http://dx.doi.org/10.21555/rpc.v6i1.3088 |
| Access Level: | acceso abierto |
| Palavra-chave: | Scopus AI beta Artificial intelligence Academic databases Academic research Doctoral theses |
| Resumo: | Academic databases play a crucial role in advancing science by hosting a vast array of peer-re-viewed literature. However, academic database search tools involve a relatively slow and ra-ther unintuitive process of searching and evaluating content. To address these challenges, in January 2024, Elsevier introduced Scopus AI, a generative artificial intelligence that synthesi-ses evidence indexed in Scopus based on prompts. This study assesses the utility of Scopus AI (in its beta version at the time of the research), within the context of a doctoral thesis through a specific case study. By employing a relational prompt and three follow-up questions, the study aims to pinpoint intersections between different topics within the realm of Social Scien-ces and, more specifically, Communication, with a case on place branding. The consolidated result provides an initial list of references, offers a comprehensive overview, and allows to generate a meta-synthesis based on the summaries provided by each prompt. Scopus AI (beta) presents features that enable researchers to identify influential authors and works, explore rele-vant keywords, review recent literature, and identify potential research gaps. Although Scopus AI has some limitations, such as the dependence on the abstracts of documents indexed in Scopus, the simplification of concepts, or the relative disconnection between arguments, the results demonstrate the value of this tool in accelerating research processes, as it synthesises research in a given area, maps its main characteristics and allows for information discovery. |
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