Data-driven decisions in navigating complexity: A Blueprint for Re-imagining Supply Chain Performance in Technology Turbulence
Vimal Kumar,
Nagendra Kumar Sharma (),
Mohit Gundwal,
Priyanka Verma and
Sandeep Kumar Gupta
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Vimal Kumar: Chaoyang University of Technology, Department of Information Management
Nagendra Kumar Sharma: Graphic Era (Deemed to be University), Department of Management Studies
Mohit Gundwal: Graphic Era (Deemed to be University), Department of Management Studies
Priyanka Verma: Chaoyang University of Technology, Department of Information Management
Sandeep Kumar Gupta: Symbiosis International (Deemed University), Symbiosis institute of Operations Management
A chapter in Proceedings of the International Conference on Operations & Supply Chain Management 2025 (ICOSCM 2025), 2025, pp 95-102 from Springer
Abstract:
Abstract In today’s rapidly evolving technological landscape, supply chains face unprecedented challenges and disruptions. To navigate this turbulence and achieve optimal performance, organizations are increasingly turning to data-driven approaches and digital ecosystems. By harnessing real-time visibility and traceability, businesses can gain insights into their supply chain operations, enabling them to make informed decisions and adapt quickly to changing circumstances. Furthermore, resilient and adaptive supply chains are essential for withstanding shocks and maintaining continuity in the face of uncertainty. In the present study of the study the focus has been given on the challenges and opportunities of data driven decisions in the arena of supply chain performance. To reach the conclusion of the article the information is extracted from the secondary sources such as research papers and websites. A blueprint is proposed in the study based on the available research.
Keywords: Data-Driven Approach; Supply Chain Performance; Technology Turbulence (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-914-8_8
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DOI: 10.2991/978-94-6463-914-8_8
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