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The mediating role of supply chain management on the relationship between big data and supply chain performance using SCOR model

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In this article , the authors investigated the impact of big data on supply chain performance through the mediating role of supply chain management (plan, source, make, deliver, and return) assuming four hypotheses.
Abstract
Adopting the Supply Chain Operations Reference (SCOR) model, this study aims at investigating the impact of big data (volume, velocity, variety, veracity, and value) on supply chain performance through the mediating role of supply chain management (plan, source, make, deliver, and return) assuming four hypotheses. Data were collected using a questionnaire from managers of food processing companies. The results showed that big data affected supply chain management significantly and positively, which in turn affected supply chain performance significantly and positively. In addition, big data exerted a significant and positive impact on supply chain performance. Based on these links, it was found that supply chain management mediated significantly the effect of big data on supply chain performance. The study contributes to the literature showing that big data plays a pivotal role in improving supply chain performance and supply chain performance from the SCOR model perspective is critical for the relationship between these two constructs.

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Journal ArticleDOI

The mediating role of supply chain management on the relationship between big data and supply chain performance using SCOR model

TL;DR: In this article , the authors investigated the impact of big data on supply chain performance through the mediating role of supply chain management (plan, source, make, deliver, and return) assuming four hypotheses.
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Green purchasing, environmental concern, and subjective knowledge in Saudi Arabia: The moderating effect of green skepticism

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References
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Posted Content

How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study

TL;DR: An interpretive framework is presented that analyzes the definitional perspectives and the applications of big data, and a general taxonomy is provided that helps broaden the understanding ofbig data and its role in capturing business value.
Journal ArticleDOI

A framework of supply chain management literature

TL;DR: The literature base and development of supply chain management from two separate paths that eventually merged into the modern era of a holistic and strategic approach to operations, materials and logistics management is reviewed in this article.
Journal ArticleDOI

A review and analysis of supply chain operations reference (SCOR) model

TL;DR: The SCOR model as discussed by the authors is a strategic planning tool that allows senior managers to simplify the complexity of supply chain management, and is poised to become an industrial standard that enables next-generation supply-chain management.
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Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices

TL;DR: In this article, the authors developed and tested a holistic model that depicts and examines the relationships among green innovation, its drivers, as well as factors that help overcome the technological challenges and influence the performance and competitive advantage of the firm.
Book

Principles of Supply Chain Management: A Balanced Approach

TL;DR: The second edition of this book as mentioned in this paper provides a broad brush to encompass OM, purchasing, and logistics with a supply chain management focus, covering a great deal of content that is not currently available elsewhere.
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Trending Questions (1)
How do data volume impact supply chain systems performance?

The paper does not specifically mention the impact of data volume on supply chain systems performance.