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Understanding management research themes and communities through semantic analysis of management science publications on HAL

Par : Contributeur(s) : Type de matériel : TexteTexteLangue : français Détails de publication : 2022. Sujet(s) : Ressources en ligne : Abrégé : We understand databases, particularly HAL in France, as “socio-technical devices” that play a role in structuring research. With this in mind, we would like to study the ways in which HAL structures management research in particular. This article uses lexical graph theory and artificial intelligence (the Louvain method) to establish the thematic communities that make up French academic research in the field of management, thanks to the HAL portal’s academic bibliographic references. Over the 2013–2019 period, thirty-one thematic communities were identified in this way, covering 7,505 researchers publishing in 33,456 titles associated with 3,165 main keywords. The study resulted in the creation of a dynamic website (http://jeromebaray.com/datascience/section06/) and was carried out as part of a research project by the Association Française du Marketing.
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We understand databases, particularly HAL in France, as “socio-technical devices” that play a role in structuring research. With this in mind, we would like to study the ways in which HAL structures management research in particular. This article uses lexical graph theory and artificial intelligence (the Louvain method) to establish the thematic communities that make up French academic research in the field of management, thanks to the HAL portal’s academic bibliographic references. Over the 2013–2019 period, thirty-one thematic communities were identified in this way, covering 7,505 researchers publishing in 33,456 titles associated with 3,165 main keywords. The study resulted in the creation of a dynamic website (http://jeromebaray.com/datascience/section06/) and was carried out as part of a research project by the Association Française du Marketing.

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