Big data in family firms: A socioemotional wealth perspective

Unai Arzubiaga, Vanessa Diaz-Moriana, Jonathan Bauweraerts and Octavio Escobar ()
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Unai Arzubiaga: UPV / EHU - Universidad del País Vasco [Espainia] / Euskal Herriko Unibertsitatea [España] = University of the Basque Country [Spain] = Université du pays basque [Espagne]
Vanessa Diaz-Moriana: UIB - Universitat de les Illes Balears = Universidad de las Islas Baleares = University of the Balearic Islands
Jonathan Bauweraerts: UMONS - Université de Mons / University of Mons
Octavio Escobar: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

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Abstract: 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.

Keywords: Big data; Family business; Socioemotional wealth; Technological innovation (search for similar items in EconPapers)
Date: 2021-06-11
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Published in European Management Journal, 2021, 39 (3), pp.344-352. ⟨10.1016/j.emj.2020.10.006⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04999431

DOI: 10.1016/j.emj.2020.10.006

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