| Title |
Analysis of Enterprise Data-Driven Innovation Diffusion Supervision System Based on the Perspective of Green Supply Chain |
| ID_Doc |
35576 |
| Authors |
Pan, WJ; Miao, L; Lin, ZX |
| Title |
Analysis of Enterprise Data-Driven Innovation Diffusion Supervision System Based on the Perspective of Green Supply Chain |
| Year |
2023 |
| Published |
Journal Of Organizational And End User Computing, 35, 1 |
| DOI |
10.4018/JOEUC.333894 |
| Abstract |
To promote the market substitution of digital innovation technology and green products and alleviate the pressure of energy and environment, a three-party evolutionary game model of innovation diffusion based on core manufacturers, affiliated enterprises and the government is established in the article to explore the adjustment of the three-party game strategy of core manufacturers and affiliated enterprises under government supervision, and then analyze the optimal stability conditions that are conducive to the innovation diffusion of digital innovation technology. It is found that the core manufacturers would choose the diffusion strategy of digital innovation technology, which would take the initiative to adopt the diffused digital innovation technology due to cost considerations, without easily choosing independent research and development (hereafter R&D strategy); the reward and punishment mechanism made by the government for core manufacturers' digital innovation technology diffusion could effectively promote technology diffusion in the market. |
| Author Keywords |
Data driven; Evolutionary game; Green supply chain; Regulatory system; Simulation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:001173163000010 |
| WoS Category |
Computer Science, Information Systems; Information Science & Library Science; Management |
| Research Area |
Computer Science; Information Science & Library Science; Business & Economics |
| PDF |
https://www.igi-global.com/ViewTitle.aspx?TitleId=333894&isxn=9781668478912
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