Big data in family firms: A socioemotional wealth perspective

被引：28

作者：

Arzubiaga, Unai ^{[1
]}

Diaz-Moriana, Vanessa ^{[2
]}

Bauweraerts, Jonathan ^{[3
]}

Escobar, Octavio ^{[4
]}

机构：

[1] Univ Basque Country, UPV EHU, Dept Financial Econ 1, C Elcano 21, Bilbao 48008, Spain

[2] Univ Balearic Isl UIB, Dept Business Econ, Palma De Mallorca, Balearic Island, Spain

[3] Univ Mons, Dept Control Audit Risk Management & Entrepreneur, Mons, Belgium

[4] EM Normandie Business Sch, Metis Lab, 64 Rue Du Ranelagh, F-75016 Paris, France

来源：

EUROPEAN MANAGEMENT JOURNAL | 2021年 / 39卷 / 03期

关键词：

Big data; Family business; Socioemotional wealth; Technological innovation; TECHNOLOGICAL-INNOVATION; DECISION-MAKING; PERFORMANCE; CHALLENGES; BUSINESS; ADOPTION; OWNERSHIP; ANALYTICS; COMPANIES; CREATION;

D O I：

10.1016/j.emj.2020.10.006

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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. (c) 2020 Elsevier Ltd. All rights reserved.

引用

页码：344 / 352

页数：9

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