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Quantum-Inspired Big Data Analytics for Sustainable and Resilient Global Supply Chains
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Author(s): M. Jomon Jose (Sahrdaya Institute of Management Studies, Kodakara, India)and Jyothis Rachel Mathews (Ahalia School of Management, Palakkad, India)
Copyright: 2026
Pages: 32
Source title:
Enhancing Sustainability in Global Supply Chains With Big Data Analytics
Source Author(s)/Editor(s): Mohammad Kamrul Hasan (Tongling University, China), Tahsina Khan (Bangladesh University of Professionals, Bangladesh), Arbia Hlali (Taibah University, Saudi Arabia)and Md Mehedi Hasan Emon (American International University-Bangladesh, Bangladesh)
DOI: 10.4018/979-8-3373-6896-2.ch009
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Abstract
The escalating complexity of global supply chains requires analytical capacity beyond that traditionally offered by big data systems. With such disturbances as pandemics, climate shocks and geopolitical tensions growing in scale and intensity, the simultaneous pursuit of sustainability and resilience has emerged as a key strategic challenge. In this chapter, the authors study how quantum-inspired big data analytics can be leveraged to facilitate sustainable and resilient global supply chain systems. Based on the synthesis of Resilience Theory, Complex Systems Theory and Sustainability Frameworks, the research propose a conceptual framework that demonstrates how quantum-inspired algorithms contribute to predictive modelling, decision optimisation and risk intelligence.
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