A Resource Optimization Allocation Strategy for China’s Shipbuilding Industry Green Innovation System

Kexin Bi, Kwangil An and Xiang Li ()
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Kexin Bi: School of Economics and Management, Harbin Engineering University, Harbin, 150001, People's Republic of China2School of Economics and Management, Harbin University of Science and Technology, Harbin, 150080, People's Republic of China
Kwangil An: School of Economics and Management, Harbin Engineering University, Harbin, 150001 People's Republic of China4Information Center, Kim Chaek University of Technology, Pyongyang 950003, D.P.R of Korea
Xiang Li: School of Economics and Management, Harbin Engineering University, Harbin, 150001 People's Republic of China

International Journal of Innovation and Technology Management (IJITM), 2020, vol. 17, issue 04, 1-25

Abstract: In order to realize the resource optimization allocation in the green innovation system of China’s shipbuilding industry under the internet environment, to improve the level of green innovation and to reduce the resource consumption, a resource optimization allocation model and the corresponding allocation strategy are proposed. The model integrates and shares the innovation resource data through Internet of Things (IOT) technology, and optimizes the allocation decision by using the cooperative differential game and Particle Swarm Optimization (PSO) algorithm. At the same time, it ensures the robustness of green innovation system and realizes the optimization allocation of resources. A case study is given to illustrate the feasibility of the model. The results show that the green innovation subject can carry out strategic interaction by adjusting the allocation proportion of innovation resources through the proposed model, so as to optimize the overall green innovation benefits of the system.

Keywords: Innovation resource allocation; IOT technology; cooperative differential game; PSO algorithm (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S0219877020500297

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