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dc.rights.licenseopenen_US
dc.contributor.authorPETERSON, Jonathan
dc.contributor.authorTAHSSAIN-GAY, Loubna
hal.structure.identifierInstitut de Recherche en Gestion des Organisations [IRGO]
dc.contributor.authorSALVETAT, David
dc.contributor.authorPEREZ, Fabienne
dc.contributor.authorHENNEKAM, Sophie
dc.date.accessioned2023-01-24T10:55:42Z
dc.date.available2023-01-24T10:55:42Z
dc.date.issued2023-04-25
dc.identifier.issn0025-1747en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/171756
dc.description.abstractEnPurpose This article aims to examine the factors that influence how managers approach data analytics. Design/methodology/approach The authors draw on content analysis of 34 in-depth interviews with managers in various sectors in France. Findings Using Resource Orchestration Theory as the theoretical lens, the findings show that an understanding of the importance of data analytics, having the skills to effectively use data analytics and the capability to integrate data analytics throughout organizations impact the approach adopted by managers. Based on these interrelated factors, a typology of four different approaches is identified: buyer-users, segmenters, promoters and implementers. Research limitations/implications The authors' study reflects results from multiple industries instead of one particular sector. Delving deeper into the practices of distinct sectors with respect to the authors' typology would be of interest. Practical implications The study points to the role of managers and more specifically managers' perception of the opportunities and challenges related to data analytics. These perceptions emerge in managers' skills and capacity to understand and integrate dimensions of data analytics that go beyond one's areas of expertise in order to create capabilities towards an organization's advantage. Originality/value The authors contribute by revealing three interrelated factors influencing how managers approach data analytics in managers' organizations. The authors address the need expressed by practitioners to better identify factors responsible for adoption and effective use of data analytics.
dc.language.isoENen_US
dc.subject.enBig data
dc.subject.enData analytics
dc.subject.enFrance
dc.subject.enManagers
dc.subject.enResource orchestration theory
dc.title.enHow managers approach data analytics: a typology through a Resource Orchestration perspective
dc.typeArticle de revueen_US
dc.identifier.doi10.1108/MD-03-2022-0316en_US
dc.subject.halSciences de l'Homme et Société/Gestion et managementen_US
bordeaux.journalManagement Decisionen_US
bordeaux.volume61
bordeaux.hal.laboratoriesIRGO (Institut de Recherche en Gestion des Organisations) - EA 4190en_US
bordeaux.issue5
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03953943
hal.version1
hal.date.transferred2023-01-24T10:55:44Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
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