On relating big data analytics to supply chain planning: towards a research agenda

Purpose This paper aims to examine how the extant publication has related big data analytics (BDA) supply chain planning (SCP). The presents a conceptual model based on reviewed articles and dominant research gaps outlines directions for future advancement. Design/methodology/approach Based systematic literature review, this study analysed 72 journal reported descriptive thematic analysis in assessing established body of knowledge. Findings reveals fact that relating BDA SCP an ambiguous use BDA-related terminologies siloed view processes primarily focuses short-term. Looking at sources, objective adopting changes SCP, we identified three roles SCP: supportive facilitator, source empowerment game-changer. It bridges conversation between technology its management issues organisations chains according technology-organisation-environmental framework. Research limitations/implications comprehensive examination existing SCP. resulted themes opportunities will help advance understanding reshape manage adoption towards data-driven Originality/value is unique discussion integrating technical managerial perspectives, which have not been discussed date.