How managers approach data analytics: a typology through a Resource Orchestration perspective

Jonathan Peterson, Loubna Tahssain-Gay, David Salvetat, Fabienne Perez and Sophie Hennekam
Additional contact information
David Salvetat: IRGO - Institut de Recherche en Gestion des Organisations - UB - Université de Bordeaux - Institut d'Administration des Entreprises (IAE) - Bordeaux

Post-Print from HAL

Abstract: Purpose 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.

Keywords: Big data; Data analytics; France; Managers; Resource orchestration theory (search for similar items in EconPapers)
Date: 2023-04-25
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Published in Management Decision, 2023, 61 (5), ⟨10.1108/MD-03-2022-0316⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03953943

DOI: 10.1108/MD-03-2022-0316

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().