Disruptive technologies for advancing supply chain resilience

Abstract

Disruptive technologies provide a new paradigm for supply chain risk management and bring opportunities and challenges for the improvement of supply chain resilience (SCRes). This study summarizes the application cases of some disruptive technologies in the SCRes and analyzes the benefits and damages brought by disruptive technologies to the SCRes. The results show that disruptive technologies can provide the supply chain with flexibility, visibility, agility, and other capabilities at various stages of risk management. Hence, technology advancements greatly increase the level of the SCRes. Although disruptive technologies undermine the construction of SCRes, these damages can be eliminated through technology iteration or other disruptive technologies. Furthermore, disruptive technologies will provide better stability for the SCRes. The study also makes several suggestions for the use of disruptive technologies in the construction of the SCRes.

Graphical abstract

Keywords

supply chain resilience / disruptive technology / supply chain risk

References

[1] Agrawal, T K Kumar, V Pal, R Wang, L Chen, Y (2021). Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry. Computers & Industrial Engineering, 154( 1): 107130

[2] Babich, V Hilary, G (2019). Blockchain and other distributed ledger technologies in operations. Foundations and Trends® in Technology, Information and Operations Management, 12( 2): 152–172

[3] Baryannis, G Validi, S Dani, S Antoniou, G (2019). Supply chain risk management and artificial intelligence: State of the art and future research directions. International Journal of Production Research, 57( 7): 2179–2202

[4] Ben-Daya, M Hassini, E Bahroun, Z (2019). Internet of Things and supply chain management: A literature review. International Journal of Production Research, 57( 15): 4719–4742

[5] Burgos, D Ivanov, D (2021). Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions. Transportation Research Part E: Logistics and Transportation Review, 152( 1): 102412

[6] Burns, R Thatcher, J (2015). What’s so big about Big Data? Finding the spaces and perils of Big Data. GeoJournal, 80( 4): 445–448

[7] Chen, X He, C Chen, Y Xie, Z (2023). Internet of Things (IoT): Blockchain-enabled pharmaceutical supply chain resilience in the post-pandemic era. Frontiers of Engineering Management, 10( 1): 82–95

[8] Chiacchio, F D’Urso, D Oliveri, L M Spitaleri, A Spampinato, C Giordano, D (2022). A non-fungible token solution for the track and trace of pharmaceutical supply chain. Applied Sciences, 12( 8): 4019

[9] ChinaFederation of Logistics Purchasing (CFLP) (2015). Supply chain case: The inside story of Unilever’s supply chain. Online Article (in Chinese)

[10] Choi, T M (2020). Supply chain financing using blockchain: Impacts on supply chains selling fashionable products. Annals of Operations Research, 25( 4): 1–23

[11] Chowdhury, M M H Quaddus, M (2016). Supply chain readiness, response and recovery for resilience. Supply Chain Management, 21( 6): 709–731

[12] Christopher, M Peck, H (2004). Building the resilient supply chain. International Journal of Logistics Management, 15( 2): 1–14

[13] CuiYIdotaHOtaM (2019). Improving supply chain resilience with implementation of new system architecture. In: IEEE Social Implications of Technology and Information Management. Matsuyama: IEEE, 1–6

[14] Davenport, T H Ronanki, R (2018). Artificial intelligence for the real world. Harvard Business Review, 96( 1): 108–116

[15] El Baz, J Ruel, S (2021). Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era. International Journal of Production Economics, 233( 1): 107972

[16] Fakhimi, M Miremadi, I (2022). The impact of technological and social capabilities on innovation performance: A technological catch-up perspective. Technology in Society, 68( 1): 101890

[17] Fernández, A del, Río S López, V Bawakid, A del, Jesus M J Benítez, J M Herrera, F (2014). Big data with cloud computing: An insight on the computing environment, MapReduce and programming frameworks. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4( 5): 380–409

[18] Gao, D Xu, Z Ruan, Y Z Lu, H (2017). From a systematic literature review to integrated definition for sustainable supply chain innovation (SSCI). Journal of Cleaner Production, 142( 1): 1518–1538

[19] Gao, Y Feng, Z Zhang, S (2021). Managing supply chain resilience in the era of VUCA. Frontiers of Engineering Management, 8( 3): 465–470

[20] Gupta, S Jones, E C (2014). Optimizing supply chain distribution using cloud based autonomous information. International Journal of Supply Chain Management, 3( 4): 79–90

[21] HigginsS (2015). IBM reveals proof of concept for blockchain-powered Internet of Things. Online Report

[22] Ho, W Zheng, T Yildiz, H Talluri, S (2015). Supply chain risk management: A literature review. International Journal of Production Research, 53( 16): 5031–5069

[23] HollnagelEWoodsD DLevesonN (2006). Resilience Engineering: Concepts and Precepts. London: CRC Press

[24] Ivanov, D Dolgui, A Sokolov, B (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57( 3): 829–846

[25] Ivanov, D Dolgui, A Sokolov, B Ivanova, M (2017). Literature review on disruption recovery in the supply chain. International Journal of Production Research, 55( 20): 6158–6174

[26] Kamath, R (2018). Food traceability on blockchain: Walmart’s pork and mango pilots with IBM. The Journal of the British Blockchain Association, 1( 1): 47–53

[27] Khajavi, S H Partanen, J Holmström, J (2014). Additive manufacturing in the spare parts supply chain. Computers in Industry, 65( 1): 50–63

[28] Kim, J S Shin, N (2019). The impact of blockchain technology application on supply chain partnership and performance. Sustainability, 11( 21): 6181

[29] Liu, W Liang, Y Bao, X Qin, J Lim, M K (2022). China’s logistics development trends in the post COVID-19 era. International Journal of Logistics Research and Applications, 25( 6): 965–976

[30] Liu, W Liu, X Shi, X Hou, J Shi, V Dong, J (2023). Collaborative adoption of blockchain technology: A supply chain contract perspective. Frontiers of Engineering Management, 10( 1): 121–142

[31] Mani, V Delgado, C Hazen, B T Patel, P (2017). Mitigating supply chain risk via sustainability using big data analytics: Evidence from the manufacturing supply chain. Sustainability, 9( 4): 608

[32] Misra, N N Dixit, Y Al-Mallahi, A Bhullar, M S Upadhyay, R Martynenko, A (2022). IoT big data and artificial intelligence in agriculture and food industry. IEEE Internet of Things Journal, 9( 9): 6305–6324

[33] MorabitoV (2015). Managing change for big data driven innovation. In: Morabito V, ed. Big Data and Analytics: Strategic and Organizational Impacts. Cham: Springer, 125–153

[34] Ng, I C Wakenshaw, S Y (2017). The Internet-of-Things: Review and research directions. International Journal of Research in Marketing, 34( 1): 3–21

[35] Ning, Y Li, L Xu, S X Yang, S (2023). How do digital technologies improve supply chain resilience in the COVID-19 pandemic? Evidence from Chinese manufacturing firms. Frontiers of Engineering Management, 10( 1): 39–50

[36] Panichayakorn, T Jermsittiparsert, K (2019). Mobilizing organizational performance through robotic and artificial intelligence awareness in mediating role of supply chain agility. International Journal of Supply Chain Management, 8( 5): 757–768

[37] Pavithran, D Shaalan, K Al-Karaki, J N Gawanmeh, A (2020). Towards building a blockchain framework for IoT. Cluster Computing, 23( 3): 2089–2103

[38] Ponis, S Koronis, E (2012). Supply chain resilience? Definition of concept and its formative elements. Journal of Applied Business Research, 28( 5): 921–935

[39] Pournader, M Ghaderi, H Hassanzadegan, A Fahimnia, B (2021). Artificial intelligence applications in supply chain management. International Journal of Production Economics, 241( 1): 108250

[40] Raguseo, E (2018). Big data technologies: An empirical investigation on their adoption, benefits and risks for companies. International Journal of Information Management, 38( 1): 187–195

[41] Reddy, S K Reinartz, W (2017). Digital transformation and value creation: Sea change ahead. GfK Marketing Intelligence Review, 9( 1): 10–17

[42] Rice Jr, J B Caniato, F (2003). Building a secure and resilient supply network. Supply Chain Management Review, 7( 5): 22–30

[43] Rogerson, M Parry, G C (2020). Blockchain: Case studies in food supply chain visibility. Supply Chain Management, 25( 5): 601–614

[44] Roland Ortt, J R Langley, D J Pals, N (2007). Exploring the market for breakthrough technologies. Technological Forecasting and Social Change, 74( 9): 1788–1804

[45] Sarac, A Absi, N Dauzère-Pérès, S (2010). A literature review on the impact of RFID technologies on supply chain management. International Journal of Production Economics, 128( 1): 77–95

[46] Sharma, P Joshi, A (2020). Challenges of using big data for humanitarian relief: Lessons from literature. Journal of Humanitarian Logistics and Supply Chain Management, 10( 4): 423–446

[47] Shi, J Chen, J Xu, L Di, Z Qu, Q (2023). Improving the resilience of maritime supply chains: The integration of ports and inland transporters in duopoly markets. Frontiers of Engineering Management, 10( 1): 51–66

[48] ShiXLiuWZhangJ (2021). Present and future trends of supply chain management in the presence of COVID-19: A structured literature review. International Journal of Logistics Research and Applications, in press,

[49] Theorin, A Bengtsson, K Provost, J Lieder, M Johnsson, C Lundholm, T Lennartson, B (2017). An event-driven manufacturing information system architecture for Industry 4.0. International Journal of Production Research, 55( 5): 1297–1311

[50] Tsang, Y P Choy, K L Wu, C H Ho, G T Lam, C H Koo, P S (2018). An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risk. Industrial Management & Data Systems, 118( 7): 1432–1462

[51] Tukamuhabwa, B R Stevenson, M Busby, J Zorzini, M (2015). Supply chain resilience: Definition review and theoretical foundations for further study. International Journal of Production Research, 53( 18): 5592–5623

[52] Um, J Han, N (2021). Understanding the relationships between global supply chain risk and supply chain resilience: The role of mitigating strategies. Supply Chain Management, 26( 2): 240–255

[53] Verhoeven, P Sinn, F Herden, T T (2018). Examples from blockchain implementations in logistics and supply chain management: Exploring the mindful use of a new technology. Logistics, 2( 3): 20

[54] Wei, W Liu, W Tang, O Dong, C Liang, Y (2023). CSR investment for a two-sided platform: Network externality and risk aversion. European Journal of Operational Research, 307( 2): 694–712

[55] Weisenfeld, P E (2011). Successes and challenges of the Haiti earthquake response: The experience of USAID. Emory International Law Review, 25( 3): 1097–1120

[56] Xia, Q Sifah, E B Asamoah, K O Gao, J Du, X Guizani, M (2017). MeDShare: Trust-less medical data sharing among cloud service providers via blockchain. IEEE Access, 5: 14757–14767

[57] Yi, J Zhang, H Mao, J Chen, Y Zhong, H Wang, Y (2022). Review on the COVID-19 pandemic prevention and control system based on AI. Engineering Applications of Artificial Intelligence, 114: 105184

[58] Zhao, R Liu, Y Zhang, N Huang, T (2017). An optimization model for green supply chain management by using a big data analytic approach. Journal of Cleaner Production, 142( 1): 1085–1097

RIGHTS & PERMISSIONS

Higher Education Press