Abstract
In order to stimulate the efficiency of technological innovation, the public sectors and social organizations have formed close cooperative relationship networks, known as public-private cooperative technological innovation networks (PPTIN). As a new type of innovation network, remarkable advantages brought by PPTIN have been witnessed in technological innovation practice globally. However, theoretical researches on PPTIN remain to be further expanded. Currently, few researches attempt to analyze the evolutionary game on technological innovation behaviors between public sectors and social organizations. To fill this gap, this paper aims to construct an evolutionary game model of technological innovation behaviors of public sectors and social organizations, attempts to reveal the evolutionary stable strategies of both stakeholders under different parameters, and verifies the evolutionary trends under different initial strategies and parameters through simulation. The results show that in PPTIN, the technological innovation behaviors of public sectors and social organizations are related to the benefits of independent technological innovation and the added benefits of cooperative technological innovation. Therefore, this paper recommends PPTIN to facilitate cooperation efficiency by reducing stakeholders’ costs and risks respectively and improving the transformation ability of cooperative technological innovation.
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This research was funded by the National Natural Science Foundation of China, grant number 71702118; the Chengdu Social Science Planning Project, grant number 2018R13; and the Chengdu Social Science Planning Project, grant number 2018R03.
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Zhang, L., Wang, T., Liu, W., Luo, K., Zhou, G. (2021). Technological Innovation Behaviors of Public Sectors and Social Organizations in PPTIN: An Evolutionary Game Research. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1191. Springer, Cham. https://doi.org/10.1007/978-3-030-49889-4_49
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