... and define the most important contexts in which Big Data contributes to SC performance. Originality/value The research methodology used is offering progress through which to systemize the current practices as well as detect the potential of digitalization and unphysicalization under the three-dimensional...

...Annibal Sodero; Yao Henry Jin; Mark Barratt 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...

... and the need to nourish an analytic culture. Originality/value While the majority of forward-looking research and reports merely project broad technological impact of cognitive analytics and big data, much of it does not provide specific insights into functional impacts such as the impact on procurement...

..., but would benefit from considering the context of application. This study presents interventions and explores how these enable improved demand planning by analysing usage and effects. Forecasting Big data Digitalization Aftermarket Demand planning Product-in-use This study details...

...Robert Glenn Richey, Jr; Tyler R. Morgan; Kristina Lindsey-Hall; Frank G. Adams Purpose Journals in business logistics, operations management, supply chain management, and business strategy have initiated ongoing calls for Big Data research and its impact on research and practice. Currently...