Unveiling the Impact of Big Data and Predictive Analytics Adoption on Sustainable Supply Chain Management: An Employee-Centric Perspective

Duc Dang Thi Viet and Luan-Thanh Nguyen

SAGE Open, 2025, vol. 15, issue 3, 21582440251363128

Abstract: The implementation of technological advancements, including big data and predictive analytics (BDPA), signifies a significant paradigm shift in the field of organizational supply chain management. Literature indicates that BDPA can enhance the efficacy of an organization. However, there is a scarcity of literature concerning the adoption of BDPA in the supply chain management of organizations, as perceived by employees. Our objective is to determine how the adoption of BDPA affects social, economic, and environmental performance, all of which are components of sustainable development from an employee perspective. Our findings, based on 226 valid responses from industries in Vietnam’s Northern and Southern Provinces, indicate that organizational culture, management skill, and learning are crucial for the successful adoption of BDPA in the context of supply chain management. Furthermore, the correlation between BDPA and social, economic, and environmental performance was validated by the study. This article enhances the comprehension of the data BDPA adoption process within an organization as well as from the standpoint of its employees. Our research assists supply chain managers in formulating strategies to facilitate technology adoption and oversee organizational transformation.

Keywords: big data and predictive analytics; supply chain management; PLS-SEM; Vietnam (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:15:y:2025:i:3:p:21582440251363128

DOI: 10.1177/21582440251363128

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