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Edge Computing and Blockchain in Enterprise Performance and Venture Capital Management

Aiming at improving the enterprise performance and venture capital management, the edge computing is combined with blockchain technology in the construction of the supply chains so as to improve the stability and security of raw material supply chains of venture capital enterprises. Firstly, the rel...

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Autores principales: Wang, Zeyu, Lu, Jia, Li, Mingyu, Yang, Siting, Wang, Yutong, Cheng, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329009/
https://www.ncbi.nlm.nih.gov/pubmed/35909829
http://dx.doi.org/10.1155/2022/2914936
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author Wang, Zeyu
Lu, Jia
Li, Mingyu
Yang, Siting
Wang, Yutong
Cheng, Xin
author_facet Wang, Zeyu
Lu, Jia
Li, Mingyu
Yang, Siting
Wang, Yutong
Cheng, Xin
author_sort Wang, Zeyu
collection PubMed
description Aiming at improving the enterprise performance and venture capital management, the edge computing is combined with blockchain technology in the construction of the supply chains so as to improve the stability and security of raw material supply chains of venture capital enterprises. Firstly, the relationships among venture capital, enterprise performance, and supply chain integration are analyzed, and the positive impacts of optimization and innovation of supply chain technology and venture capital on enterprise performance improvement are discussed. Secondly, the edge computing and blockchain technology are adopted to optimize the supply chain, and a protocol model is established to improve the security of supply chain information transmission. In addition, the supply chain Internet of Things (IoT) system is designed in layers based on blockchain and edge computing technology. Finally, the designed protocol model is applied to the supply chain and the supplier performance is evaluated by using the fuzzy analytic hierarchy process (FAHP). The results show that the gas value of the designed protocol model is stable at 104,000∼116,000 in blockchain transactions, and the execution time of a single blockchain transaction fluctuates between 4,300 and 6,100 ms. Therefore, the designed protocol model can effectively ensure the security of supply chain data during the transmission. The evaluation results of supplier performance suggest that the cooperative relationship between venture capital enterprises and suppliers is affected by many factors. Optimizing the supply chain structure and production activities can improve the performance of suppliers and venture capital enterprises. This work provides a reference for analyzing the performance of blockchain technology on venture capital enterprises and suppliers.
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spelling pubmed-93290092022-07-28 Edge Computing and Blockchain in Enterprise Performance and Venture Capital Management Wang, Zeyu Lu, Jia Li, Mingyu Yang, Siting Wang, Yutong Cheng, Xin Comput Intell Neurosci Research Article Aiming at improving the enterprise performance and venture capital management, the edge computing is combined with blockchain technology in the construction of the supply chains so as to improve the stability and security of raw material supply chains of venture capital enterprises. Firstly, the relationships among venture capital, enterprise performance, and supply chain integration are analyzed, and the positive impacts of optimization and innovation of supply chain technology and venture capital on enterprise performance improvement are discussed. Secondly, the edge computing and blockchain technology are adopted to optimize the supply chain, and a protocol model is established to improve the security of supply chain information transmission. In addition, the supply chain Internet of Things (IoT) system is designed in layers based on blockchain and edge computing technology. Finally, the designed protocol model is applied to the supply chain and the supplier performance is evaluated by using the fuzzy analytic hierarchy process (FAHP). The results show that the gas value of the designed protocol model is stable at 104,000∼116,000 in blockchain transactions, and the execution time of a single blockchain transaction fluctuates between 4,300 and 6,100 ms. Therefore, the designed protocol model can effectively ensure the security of supply chain data during the transmission. The evaluation results of supplier performance suggest that the cooperative relationship between venture capital enterprises and suppliers is affected by many factors. Optimizing the supply chain structure and production activities can improve the performance of suppliers and venture capital enterprises. This work provides a reference for analyzing the performance of blockchain technology on venture capital enterprises and suppliers. Hindawi 2022-07-20 /pmc/articles/PMC9329009/ /pubmed/35909829 http://dx.doi.org/10.1155/2022/2914936 Text en Copyright © 2022 Zeyu Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Zeyu
Lu, Jia
Li, Mingyu
Yang, Siting
Wang, Yutong
Cheng, Xin
Edge Computing and Blockchain in Enterprise Performance and Venture Capital Management
title Edge Computing and Blockchain in Enterprise Performance and Venture Capital Management
title_full Edge Computing and Blockchain in Enterprise Performance and Venture Capital Management
title_fullStr Edge Computing and Blockchain in Enterprise Performance and Venture Capital Management
title_full_unstemmed Edge Computing and Blockchain in Enterprise Performance and Venture Capital Management
title_short Edge Computing and Blockchain in Enterprise Performance and Venture Capital Management
title_sort edge computing and blockchain in enterprise performance and venture capital management
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329009/
https://www.ncbi.nlm.nih.gov/pubmed/35909829
http://dx.doi.org/10.1155/2022/2914936
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