Do data-driven CSR initiatives improve CSR performance? The importance of big data analytics capability
Hyoung-Yong Choi and
Junyoung Park
Technological Forecasting and Social Change, 2022, vol. 182, issue C
Abstract:
Despite the increasing number of companies deploying big data analytics (BDA) in corporate social responsibility (CSR) activities, few studies have investigated how the use of BDA in CSR activities affects CSR performance. Drawing on the resource-based view, we propose that the impact of BDA use in CSR initiatives (BDA-enabled CSR) on CSR performance depends on a firm's ability to provide data-driven insights through big data management and big data analytics (big data analytics capability, BDAC). We further show that the positive interaction effect of BDA-enabled CSR and BDAC on CSR performance is pronounced in the CSR performance categories of environmental impact, employee relations, product safety, and corporate governance, but not in community relations, human rights, and workplace diversity. This study contributes to BDA literature as well as CSR literature by empirically demonstrating how BDA-enabled CSR and BDAC influence CSR performance. This study provides practical implications to strategy managers, social entrepreneurs, venture capitalists or investors, and policy makers.
Keywords: Corporate social responsibility; Social performance; Big data analytics; Big data analytics capability (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522003262
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:182:y:2022:i:c:s0040162522003262
DOI: 10.1016/j.techfore.2022.121802
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().