BIG DATA TECHNOLOGIES IN SUPPLY CHAIN MANAGEMENT: OPPORTUNITIES, CHALLENGES AND FUTURE TRENDS

Nowadays, professionals in supply chain are overwhelmed by data, encouraging novel ideas about producing, analyzing and organizing data. Hence, this has provided a momentum for organizations to choose ideal data analytic functions such as big data, data science and predictive analytic functions so as to improve supply chain processes, eventually, improve performance. Nevertheless, management decisions that are related to the usage of those analytic are considered good decisions only if they are based on good data. Hence, the interest of both scientists and practitioners in big data, and big data applications, has increased significantly. Yet, still there is no complete evidence about the way big data with its applications are understood in Supply Chain Management (SCM). Experimental contributions are exceptionally limited. This paper studies the necessity and importance of the usage of big data for the purpose of enhancing both effectiveness and efficiency of supply chain process.