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Data And Predictive Analytics Use For Logistics And Supply Chain Management, Anníbal C. Sodero, Yao Henry Jin, Mark A. Barratt
Data And Predictive Analytics Use For Logistics And Supply Chain Management, Anníbal C. Sodero, Yao Henry Jin, Mark A. Barratt
Management Faculty Research and Publications
Purpose
The purpose of this paper is to explore the social process of Big Data and predictive analytics (BDPA) use for logistics and supply chain management (LSCM), focusing on interactions among technology, human behavior and organizational context that occur at the technology’s post-adoption phases in retail supply chain (RSC) organizations.
Design/methodology/approach
The authors follow a grounded theory approach for theory building based on interviews with senior managers of 15 organizations positioned across multiple echelons in the RSC.
Findings
Findings reveal how user involvement shapes BDPA to fit organizational structures and how changes made to the technology retroactively affect its design …