Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network
Low-carbon technological innovation is the main means to develop a low-carbon economy, and network knowledge sharing and collaborative innovation is an effective model for the development of low-carbon technologies. First of all, this article adopts a decision-making experiment and evaluation labora...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/9995344 |
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| _version_ | 1832559983137390592 |
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| author | Cuicui Zheng |
| author_facet | Cuicui Zheng |
| author_sort | Cuicui Zheng |
| collection | DOAJ |
| description | Low-carbon technological innovation is the main means to develop a low-carbon economy, and network knowledge sharing and collaborative innovation is an effective model for the development of low-carbon technologies. First of all, this article adopts a decision-making experiment and evaluation laboratory method and interpretation structure model, combines the two methods, extracts the advantages of the two, and discards the shortcomings of the two, thus constructing a new optimized and upgraded interpretation structure model. We give methods to explore the main influencing factors of collaborative innovation of low-carbon technologies for online knowledge sharing. Based on the industrial network knowledge sharing and cooperation network environment, the network evolution game model of network knowledge sharing knowledge collaboration is constructed to study the rewards and punishments, the profit distribution rate, the knowledge potential difference, and the parameter pairing of the network knowledge sharing cooperation network structure in the process of network knowledge sharing and collaborative knowledge innovation. The influence of the network knowledge sharing cooperation strategy is obtained through simulation to change the size of the relevant parameters so that the network knowledge sharing cooperation agent chooses the network evolution game of the sharing strategy to realize the optimal evolutionary stable strategy. According to the simulation results, this article proposes suggestions from the following aspects, aiming to improve the overall knowledge synergy effect of the network knowledge sharing and cooperation network. |
| format | Article |
| id | doaj-art-827d38a9e74742fe933780bd6708067e |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-827d38a9e74742fe933780bd6708067e2025-02-03T01:28:43ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/99953449995344Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation NetworkCuicui Zheng0School of Economics and Management, Yanshan University, Qinhuangdao 066004, ChinaLow-carbon technological innovation is the main means to develop a low-carbon economy, and network knowledge sharing and collaborative innovation is an effective model for the development of low-carbon technologies. First of all, this article adopts a decision-making experiment and evaluation laboratory method and interpretation structure model, combines the two methods, extracts the advantages of the two, and discards the shortcomings of the two, thus constructing a new optimized and upgraded interpretation structure model. We give methods to explore the main influencing factors of collaborative innovation of low-carbon technologies for online knowledge sharing. Based on the industrial network knowledge sharing and cooperation network environment, the network evolution game model of network knowledge sharing knowledge collaboration is constructed to study the rewards and punishments, the profit distribution rate, the knowledge potential difference, and the parameter pairing of the network knowledge sharing cooperation network structure in the process of network knowledge sharing and collaborative knowledge innovation. The influence of the network knowledge sharing cooperation strategy is obtained through simulation to change the size of the relevant parameters so that the network knowledge sharing cooperation agent chooses the network evolution game of the sharing strategy to realize the optimal evolutionary stable strategy. According to the simulation results, this article proposes suggestions from the following aspects, aiming to improve the overall knowledge synergy effect of the network knowledge sharing and cooperation network.http://dx.doi.org/10.1155/2021/9995344 |
| spellingShingle | Cuicui Zheng Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network Complexity |
| title | Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network |
| title_full | Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network |
| title_fullStr | Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network |
| title_full_unstemmed | Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network |
| title_short | Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network |
| title_sort | evolutionary game analysis of knowledge sharing in low carbon innovation network |
| url | http://dx.doi.org/10.1155/2021/9995344 |
| work_keys_str_mv | AT cuicuizheng evolutionarygameanalysisofknowledgesharinginlowcarboninnovationnetwork |