The Use of Big Data Analytics to Improve the Supply Chain Performance in Logistics Industry

摘要

In recent years, big data analytics has received more attention from companies around the world. The explosive impact of big data analytics on globalized companies has brought new opportunities implementing big data-driven decisions that are sweeping many industries and business functions. Big data analytics has a lot of potential to improve supply chain performance in logistics industry. Big data analytics is frequently used in the logistics/supply chain management industry as an instrument to improve the performance of the system. As the supply chain performance depends on information on a high degree, big data analytics seems to be very useful in improving supply chain performance. However, many companies have not been able to apply to the same degree of the "big data analytics" techniques that could transform the way they manage their supply chains. This research demonstrated how companies can take control of the big data opportunity with a systematic approach. This study utilized survey questionnaires using Google Form to collect data from university students and people working in Klang Valley, Malaysia. It may be viewed that this result unlikely can be an appropriate representation of the whole population of Malaysia. It was concluded that several factors such as improved forecasting, supply chain system integration, human capital and risk and security governance have significant relationship towards supply chain performance in logistics industry.However, two other factors operational efficiency and partner transparency do not have significant relationship with supply chain performance. This research offers a bigger picture of how the use of big data analytics can improve the supply chain performance in logistics industry. Logistics industry could benefit from the results of this research by understanding the key success factors of big data analytics to improve supply chain performance in logistics industry.