000			02089cam a2200349 4500500
005			20250121135108.0
041			_afre
042			_adc
100	1	0	_aBaray, Jérôme _eauthor
700	1	0	_a Béji-Bécheur, Amina _eauthor
700	1	0	_a Soulabail, Yves _eauthor
245	0	0	_aUnderstanding management research themes and communities through semantic analysis of management science publications on HAL
260			_c2022.
500			_a2
520			_aWe 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.
690			_alexical semantics
690			_aThematic communities
690			_ascience technology and society
690			_asemantic analysis
690			_aLouvain method
690			_aresearchers in management science
690			_alexical network
690			_alexical semantics
690			_aresearchers in managementscience
690			_aThematic communities
690			_ascience technology & society
690			_asemantic analysis
690			_aLouvain algorithm
690			_alexical network
786	0		_nLa Revue des Sciences de Gestion | o 313 | 1 | 2022-05-09 | p. 13-24 | 1160-7742
856	4	1	_uhttps://shs.cairn.info/journal-revue-des-sciences-de-gestion-2022-1-page-13?lang=en&redirect-ssocas=7080
999			_c577660 _d577660