Keywords
Resilience of supply chain
Big data
Submitted : 2022-01-18
Accepted : 2022-02-02
Published : 2022-02-17
Abstract
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.
References
Hollingsworth J, Thomas N, 2020, China’s Red Cross is Under Fire for not Getting Supplies to Hospitals Fighting Coronavirus. That’s a Problem for The Government, CNN. https://edition.cnn.com/2020/02/06/asia/red-cross-china-donations-intl-hnk/index.html
Flynn B, Huo B, Zhao X, 2020, The Impact of Supply Chain Integration on Performance: A Contingency and Configuration Approach. Journal of Operations Management, 28(1): 58-71.
Akama K, 2020, Creepy or Convenient? Big Data is Big Business in China, Japan’s National Daily. https://mainichi.jp/english/articles/20191231/p2a/00m/0in/031000c
Carvalho H, Azevedo SG, Cruz-Machado V, 2012, Agile and Resilient Approaches to Supply Chain Management: Influence on Performance and Competitiveness. Logistics Research, 4(1-2): 49-62.
Tukamuhabwa BR, Stevenson M, Busby EJ, et al., 2015, Supply Chain Resilience: Definition, Review and Theoretical Foundations for Further Study. International Journal of Production Research, 53(18): 5592-5623.
Bhatia G, Lane C, Wain A, 2013, Building Resilience in Supply Chains, World Economic Forum, Switzerland, 1-41.
Lee SM, Rha JS, 2016, Ambidextrous Supply Chain as a Dynamic Capability: Building A Resilient Supply Chain. Management Decision, 54(1): 2-23.
Jeble S, Dubey R, Childe SJ, et al., 2018, Impact of Big Data and Predictive Analytics Capability on Supply Chain Sustainability. The International Journal of Logistics Management, 29(2): 513-538.
Nguyen T, Li Z, Spiegler V, et al., 2018, Big Data Analytics in Supply Chain Management: A State-Of-The-Art Literature Review. Computers & Operations Research, 98: 254-264.
Govindan K, Cheng T, Mishra N, et al., 2018, Big Data Analytics and Application for Logistics and Supply Chain Management. Elsevier, 114: 343-349.
Gunasekaran A, Papadopoulos T, Dubey R, et al., 2017, Big Data and Predictive Analytics for Supply Chain and Organizational Performance. Journal of Business Research, 70: 308-317.
Tiwari S, Wee HM, Daryanto Y, 2018, Big Data Analytics in Supply Chain Management Between 2010 and 2016: Insights to Industries. Computers & Industrial Engineering, 115: 319-330.
Hofmann E, Rutschmann E, 2018, Big Data Analytics and Demand Forecasting in Supply Chains: A Conceptual Analysis. The International Journal of Logistics Management, 29(2): 739-766.
Sanders NR, 2016, How to Use Big Data to Drive your Supply Chain. California Management Review, 58(3): 26-48.
Lamba K, Singh SP, 2017, Big Data in Operations and Supply Chain Management: Current Trends and Future Perspectives. Production Planning & Control, 28(11-12): 877-890.
Barbosa MW, Vicente A, Ladeira MB, et al., 2018, Managing Supply Chain Resources with Big Data Analytics: A Systematic Review. International Journal of Logistics Research and Applications, 21(3): 177-200.
Brinch M, 2018, Understanding the Value of Big Data in Supply Chain Management and Its Business Processes. International Journal of Operations & Production Management, 38(7): 1589-1614.
Richey RG, Morgan TR, Lindsey-Hall K, 2016, A Global Exploration of Big Data in the Supply Chain. International Journal of Physical Distribution & Logistics Management, 46(8): 710-739.
Addo-Tenkorang R, Helo PT, 2016, Big Data Applications in Operations/Supply-Chain Management: A Literature Review. Computers & Industrial Engineering, 101: 528-543.