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11 juin 2021
- ISIDORE Id: 10670/1.8e1294...
- hal: hal-04999431
- doi: 10.1016/j.emj.2020.10.006
- PII: S0263-2373(20)30153-5
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info:eu-repo/semantics/altIdentifier/doi/10.1016/j.emj.2020.10.006
http://creativecommons.org/licenses/by-nc/ , info:eu-repo/semantics/OpenAccess
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Family enterprises Family business Family businesses Business enterprises, Family-owned Family firms Large data sets Data sets, LargeCiter ce document
Unai Arzubiaga et al., « Big data in family firms: A socioemotional wealth perspective », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1016/j.emj.2020.10.006
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Résumé
Since about 2010, big data analysis has drastically changed the landscape of information management by becoming a central topic in the academic literature of several fields. Despite the significant contribution of family firms to the economic fabric worldwide and their unique decision-making processes, there is a lack of research investigating big data in family-owned businesses. To address this gap, this article draws on the socioemotional wealth (SEW) perspective and its FIBER model to conceptually investigate its role in family firms’ decision to implement big data. We introduce a set of propositions and a framework linking the FIBER dimensions to the likeliness of implementing big data in family firms. Our research thus contributes to a more fine-grained understanding of the decision-making process in family firms.
