Impact of Predictive Analytics on the Strategic Business Models of Supply Chain Management

Ishwari Pradhan*, Dilshad Sarwar, Amin Hosseinian Far

*Corresponding author for this work

Research output: Contribution to Book/ReportChapterpeer-review

Abstract

This paper explores and analyses the impact of Predictive Analytics on Supply Chain Management. Predictive Analytics is expanding, and many organisations are utilising this technology for improved benefits and profits. The supply chain consists of different sectors which can inculcate this technology for overall optimization. This research uses primary and secondary data to illustrate the aim and objective of the research. The literature review gives an in-depth overview of the concepts of Big Data and Predictive Analytics (PA) in Supply Chain Management. The outcomes of this research have led to the conclusions that PA plays a critical role in supply chain function optimization and can provide important insights for better decision making. They also point to the improvement of Supply Chain processes through the effective and efficient application of Predictive Analytics, resulting in improved performance, optimised procedures, and increased profits. In addition to that, many technologies can aid new start-ups and entrepreneurs towards success with their effective implementation and give rise to new business models to even larger organizations. This research can thus aid other organisations to understand the importance of PA and how well it can aid in strategic planning and execution and gain an advantage over their competitors.
Original languageEnglish
Title of host publicationIntegrated Business Models in the Digital Age
PublisherSpringer Nature
ISBN (Electronic)978-3-030-97876-1
Publication statusAccepted/In press - 1 Dec 2021

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