Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications
Recent advances in information technology have led to profound changes in global manufacturing. This study focuses on the theoretical and practical challenges and opportunities arising from the Internet of Things (IoT) as it enables new ways of supply-chain operations partially based on big-data ana...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2020-03-01
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| Series: | Journal of Management Science and Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096232020300172 |
| _version_ | 1828497380629020672 |
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| author | Longfei He Mei Xue Bin Gu |
| author_facet | Longfei He Mei Xue Bin Gu |
| author_sort | Longfei He |
| collection | DOAJ |
| description | Recent advances in information technology have led to profound changes in global manufacturing. This study focuses on the theoretical and practical challenges and opportunities arising from the Internet of Things (IoT) as it enables new ways of supply-chain operations partially based on big-data analytics and changes in the nature of industries. We intend to reveal the acting principle of the IoT and its implications for big-data analytics on the supply chain operational performance, particularly with regard to dynamics of operational coordination and optimization for supply chains by leveraging big data obtained from smart connected products (SCPs), and the governance mechanism of big-data sharing. Building on literature closely related to our focal topic, we analyze and deduce the substantial influence of disruptive technologies and emerging business models including the IoT, big data analytics and SCPs on many aspects of supply chains, such as consumers value judgment, products development, resources allocation, operations optimization, revenue management and network governance. Furthermore, we propose several research directions and corresponding research schemes in the new situations. This study aims to promote future researches in the field of big data-driven supply chain management with the IoT, help firms improve data-driven operational decisions, and provide government a reference to advance and regulate the development of the IoT and big data industry. |
| first_indexed | 2024-12-11T12:47:44Z |
| format | Article |
| id | doaj.art-48468f787e1a4fa3b22132f270e87a67 |
| institution | Directory Open Access Journal |
| issn | 2096-2320 |
| language | English |
| last_indexed | 2024-12-11T12:47:44Z |
| publishDate | 2020-03-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Management Science and Engineering |
| spelling | doaj.art-48468f787e1a4fa3b22132f270e87a672022-12-22T01:06:47ZengKeAi Communications Co., Ltd.Journal of Management Science and Engineering2096-23202020-03-0151122Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implicationsLongfei He0Mei Xue1Bin Gu2College of Management and Economics, Tianjin University, Tianjin, 300072, China; Corresponding author.Carroll School of Management, Boston College, Boston, MA, 02467, USAQuestrom School of Business, Boston University, Boston, MA, 02215, USARecent advances in information technology have led to profound changes in global manufacturing. This study focuses on the theoretical and practical challenges and opportunities arising from the Internet of Things (IoT) as it enables new ways of supply-chain operations partially based on big-data analytics and changes in the nature of industries. We intend to reveal the acting principle of the IoT and its implications for big-data analytics on the supply chain operational performance, particularly with regard to dynamics of operational coordination and optimization for supply chains by leveraging big data obtained from smart connected products (SCPs), and the governance mechanism of big-data sharing. Building on literature closely related to our focal topic, we analyze and deduce the substantial influence of disruptive technologies and emerging business models including the IoT, big data analytics and SCPs on many aspects of supply chains, such as consumers value judgment, products development, resources allocation, operations optimization, revenue management and network governance. Furthermore, we propose several research directions and corresponding research schemes in the new situations. This study aims to promote future researches in the field of big data-driven supply chain management with the IoT, help firms improve data-driven operational decisions, and provide government a reference to advance and regulate the development of the IoT and big data industry.http://www.sciencedirect.com/science/article/pii/S2096232020300172Internet of thingsSupply chainsIntelligent interconnectionsResources allocationBig data analyticsCoordination and optimization |
| spellingShingle | Longfei He Mei Xue Bin Gu Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications Journal of Management Science and Engineering Internet of things Supply chains Intelligent interconnections Resources allocation Big data analytics Coordination and optimization |
| title | Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications |
| title_full | Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications |
| title_fullStr | Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications |
| title_full_unstemmed | Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications |
| title_short | Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications |
| title_sort | internet of things enabled supply chain planning and coordination with big data services certain theoretic implications |
| topic | Internet of things Supply chains Intelligent interconnections Resources allocation Big data analytics Coordination and optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2096232020300172 |
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