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An incentive mechanism for general purpose technologies R&D based on the concept of super-conflict equilibrium: Empirical evidence from nano industrial technology in China

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  • Liu, Yong
  • Du, Jun-liang
  • Yang, Jin-bi
  • Qian, Wu-yong
  • Forrest, Jeffrey Yi-Lin

Abstract

The research and development (R&D) of general purpose technologies (GPTs) is a collaborative effort of innovation involving multiple stakeholders, which has received extensive attention worldwide. Considering the characteristics of China's R&D of Nano-GPT, this research mainly makes two contributions: (1) Based on the theory of conflict analysis, a theoretical framework of Chinese GPTs super-conflict equilibrium is constructed to analyze the decision-making behavior among stakeholders, which enriches the theory of GPTs; (2) Under the framework of super-conflict equilibrium of GPTs, an incentive mechanism is designed to promote the R&D of GPTs from the perspective of cost sharing, and its incentive effect is stable and sustainable. In addition, taking “Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO) of Jiangsu in China” as a case, this paper provides some interesting management suggestions through numerical simulation analysis, which are more suitable for developing countries with similar R&D situation in China's GPTs.

Suggested Citation

  • Liu, Yong & Du, Jun-liang & Yang, Jin-bi & Qian, Wu-yong & Forrest, Jeffrey Yi-Lin, 2019. "An incentive mechanism for general purpose technologies R&D based on the concept of super-conflict equilibrium: Empirical evidence from nano industrial technology in China," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 185-197.
    • Handle: RePEc:eee:tefoso:v:147:y:2019:i:c:p:185-197
    DOI: 10.1016/j.techfore.2019.07.014
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    2. Karim, Mohammed Shamsul & Nahar, Sharmin & Demirbag, Mehmet, 2022. "Resource-Based Perspective on ICT Use and Firm Performance: A Meta-analysis Investigating the Moderating Role of Cross-Country ICT Development Status," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    3. Zhang, Hao & Wang, Mingyue & Cheng, Zhixuan & Wan, Ling, 2020. "Technology-sharing strategy and incentive mechanism for R&D teams of manufacturing enterprises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).

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