Open AccessResearch on Supply Chain Resilience and Core Competency: Considering Big Data Analytics
Author(s) -
Ningxin Li
Publication year - 2022
Publication title -
scientific and social research
Language(s) - English
Resource type - Journals
ISSN - 2661-4332
DOI - 10.26689/ssr.v4i2.3630
Subject(s) - supply chain , supply chain management , supply chain risk management , big data , business , resilience (materials science) , flexibility (engineering) , service management , analytics , risk analysis (engineering) , computer science , marketing , economics , data science , management , physics , thermodynamics , operating system
There are several uncertainties in the current global economic and political situation, which are compounded by natural catastrophes and other emergencies. Frequently, corporate supply chains have become more vulnerable and face enormous risks of supply disruptions, putting supply chain resilience to the test. Supply chain rigidity can result in huge losses for the organization if the supply chain is suspended. In this setting, the notion of supply chain resilience emerges at a critical juncture in history. With the development of environmental uncertainty, supply chain flexibility is becoming increasingly vital for the practical relevance of the organization. Big data, artificial intelligence, and other technologies have had a significant influence on supply chain management in recent years, thanks to the ongoing appearance of new technology. Big data analysis capability is one of them, and it has a particularly large influence on supply chain resilience management as one of the critical competencies that supply chain organizations should have.