Big data for social benefits: Innovation as a mediator of the relationship between big data and corporate social performance

被引:50
作者
Calic, Goran [1 ]
Ghasemaghaei, Maryam [1 ]
机构
[1] McMaster Univ, DeGroote Sch Business, 1280 Main St West, Hamilton, ON L8S 4M4, Canada
关键词
Big data; Corporate social performance; Organisational innovation; Organisational learning theory; Structural equation modelling; DATA ANALYTICS; FINANCIAL PERFORMANCE; COMPETITIVE ADVANTAGE; VALUE CREATION; SYSTEMS; RESPONSIBILITY; SUSTAINABILITY; COMPETENCE; CHALLENGES; ADOPTION;
D O I
10.1016/j.jbusres.2020.11.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
Over the last decade, the use big data in firms has seen a rapid increase. Whilst scholars have begun to unpack the relationship between big data utilisation and financial performance, significant uncertainty exists about the ethical uses of this new asset. Whether firms use big data to improve social performance is a question explored in this study. Relying on organisational learning theory, we hypothesise that firms harness information from big data to improve their corporate social performance (CSP) and that these improvements occur through organisational innovation in business practices, workplace organisation and external relations. To explore this topic, we surveyed 297 North American middle- and senior-level managers familiar with data use in their firms. The results of the structural equation modelling suggest that firms rely on big data to improve CSP. Additional analyses revealed how this relationship is manifested through organisational innovation.
引用
收藏
页码:391 / 401
页数:11
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