Big data in family firms: A socioemotional wealth perspective |
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Authors: | Unai Arzubiaga Vanessa Diaz-Moriana Jonathan Bauweraerts Octavio Escobar |
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Affiliation: | 1. Department of Financial Economic I, University of the Basque Country, UPV/EHU, C/Elcano, 21, 48008, Bilbao, Spain;2. Department of Business Economics, University of the Balearic Islands (UIB), Palma de Mallorca, Balearic Islands, Spain;3. Department of Control, Audit, Risk Management and Entrepreneurship, University of Mons, Mons, Belgium;4. EM Normandie Business School, Métis Lab, 64 Rue Du Ranelagh, Paris, 75016, France |
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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. |
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Keywords: | Big data Family business Socioemotional wealth Technological innovation |
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