Providing a Framework for Implementing Agile Big Data-based Supply Chain (Case Study: FMCG Companies)
Purpose: In recent years, with the growth of sustainable development and textual tools on information technology, supply chain agility has become a powerful tool to compete in the business environment. In such an environment, stakeholders expect digital developments and efficient tools to play a rol...
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| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
Ayandegan Institute of Higher Education, Tonekabon,
2021-08-01
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| Series: | مدیریت نوآوری و راهبردهای عملیاتی |
| Subjects: | |
| Online Access: | http://www.journal-imos.ir/article_136140_87e55cc3360da8159c9b6b7017937973.pdf |
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| Summary: | Purpose: In recent years, with the growth of sustainable development and textual tools on information technology, supply chain agility has become a powerful tool to compete in the business environment. In such an environment, stakeholders expect digital developments and efficient tools to play a role in these supply chain developments. Therefore, this tool, namely the Internet, can play a crucial role in agility, accelerate supply chain activity, and create value in the organization. Given the importance of the supply chain and its prominent role as a core in industrial activities, this study aims to provide a framework for implementing an agile supply chain based on big data from the Internet of Things.Methodology: This research is of developmental and applied type and has been done qualitatively. In this study, the components affecting supply chain agility are identified based on big data from the Internet of Things, and the conceptual framework of agile supply chain is presented.Findings: The results provide a framework that intelligently identifies the agility needs of the organization and strives to achieve them, thus creating a more competitive advantage for the company, increasing customer satisfaction, and expanding the organization's market share.Originality/Value: This framework can be a practical guide to implementing an agile and clean supply chain based on big data. |
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| ISSN: | 2783-1345 2717-4581 |