Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship

Huanzhou Hong

doi:doi:10.11648/j.ijber.20231201.12

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Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship

Huanzhou Hong

Published in International Journal of Business and Economics Research (Volume 12, Issue 1)

Received: 9 December 2022 Accepted: 3 January 2023 Published: 17 January 2023

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Abstract

In the era of 'Internet+' background, large flow, strong liquidity and short shelf life become the characteristics of information, technology specialization, increasing complexity, it is difficult for individual enterprises to grasp all the elements needed for successful innovation. In order to study the problem of collaborative innovation among high-tech inadustries, from the perspective of trust relationship between subjects, an evolutionary game model of collaborative innovation is constructed based on the technology intensity and spillover of high-tech industries, and the strategy evolution of subjects under market mechanism and government regulation is analyzed. The results show that innovation output and technology transformation ability promote collaborative innovation; r & D costs, 'free rider' income and so on hinder the collaborative innovation between industries; the influence of trust relationship and distribution coefficient on collaborative innovation depends on the situation. In addition, through simulation, it is found that the reward and punishment mechanisms of policies have their own advantages and disadvantages and complement each other, and the impact of supervision on collaborative innovation is diminishing marginal benefits. It is found that a reasonable policy combination can stimulate innovation potential more effectively. It is proposed that the strong technology spillover and mutual solubility between high-tech industries also lead to technology imitation. In the process of collaborative R & D, it is necessary to establish a solid strategic partnership, adhere to trust rationality, grasp the scale, and promote collaborative innovation. Under the principle of trust rationality, information sharing, cost sharing, and efforts to increase technology and information output can increase innovation benefits; the government should follow the economic law when making policies, rationally combine policies, make good use of the 'push' and 'pull' of the policy reward and punishment mechanism, promote collaborative innovation among industries, and enhance the driving force of innovation for economic development.

Published in	International Journal of Business and Economics Research (Volume 12, Issue 1)
DOI	10.11648/j.ijber.20231201.12
Page(s)	9-17
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Trust Relationship, High-Tech Industry, Collaborative Innovation, Evolutionary Game

References

[1]	Li Qinglei, Bai Tingbin. On the Intellectual Growth Model of Tourism Economy [J]. Journal of Sichuan Normal University (Social Science Edition), 2012, 39 (05): 102-109. doi: 10.13734/j.cnki.1000-5315.2012.025.033.
[2]	Li Xiyi, Guo Jianping, Zhang Mingxi and so on. High-tech enterprise development report [M]. Beijing: Science and Technology Literature Publishing House, 2019. Su Y. S. Zheng Z. X, Chen J. A multi-platform collaboration innovation ecosystem: The Case of China [J]. Ma-nagement Decision, 2018, 28 (1): 125-142.
[3]	Xu Nana, Xu Yusen. The co-evolution of resources, innovation networks and reverse innovation of latecomer firms-a longitudinal case study based on Haier Group [J]. Management Review, 2016, 28 (06): 216-228. doi: 10.14120/j.cnki.cn11-5057/f.2016.02.
[4]	Xue Song. Research on the driving mechanism and promotion path of high-tech industry development [J]. Scientific Management Research, 2018, 36 (06): 66-69. doi: 10.19445/j.cnki.15-1103/g3.2018.06.017.
[5]	Leng Junfeng, Xu Gaopan, Li Jinbao. A Game Theory Study on the Government's Support for the Development of High-tech Industry [J]. Technology and Economy, 2010, 23 (04): 42-44.
[6]	Hong Liu, Zhihua Liu, Yongzeng Lai and Lin Li. Factors influencing collaborative innovation project per-formance: The case of China [J]. sustainability, 2021, 13 (7): 73-80.
[7]	Zhang Na, Li Bo. Research on Symbiotic Technology Collaborative Innovation of Strategic Emerging Industry Clusters Based on Evolutionary Game [J]. Science and Technology Management Research, 2019, 39 (10): 146-154.
[8]	Rick (H. L) Aalbers, Eoin Whelan. Implementing digitally enabled collaborative innovation: A case study of online and offline interaction in the German automotive industry [J]. WILEY, 2021, 20 (7): 1-16.
[9]	Fan Ruguo, Zhang Yingqing, Luo Huijun. Evolutionary Analysis of Cooperative Innovation in Industrial Clusters Based on Spatial Public Goods Game [J]. Economic Problem Exploration, 2017 (06): 155-161.
[10]	Stanley E. Fawcett, Stephen L. Jones, Amydee M. Fawcett. Supply chain trust: The catalyst for collaborative innovation [J]. Business Horizons, 2012, 55 (4): 163-178.
[11]	Yu Guifang, Wenke, Fang Xin. Trust level, cooperative relationship and innovation behavior: Research on the influencing factors of innovation behavior of public scientific research institutions from the perspective of social exchange theory [J]. Science and Science and Technology Management, 2020, 41 (02): 78-93.
[12]	GULATI R, SYTCH M. Does familiarity breed trust? Ｒevisiting the antecedents of trust [J]. Managerial and Decision Economics, 2008, 29 (2/3): 165-190.
[13]	KATSIKEAS C S, SKARMEAS D, BELLO D C. Developing successful trust-based international exchange relationships [J]. Journal of International Business Studies, 2009, 40 (1): 132-155.
[14]	Amalya L. Oliver, Kathleen Montgomery, Shimrit Barda. The multi-level process of trust and learning in university industry innovation collaborations [J]. The Journal of Technology Transfer. 2020, 45 (3): 758-779.
[15]	Raluca Bunduchi. Trust, partner selection and innovation outcome in collaborative new product Development [J]. Production Planning & Control, 2013, 24 (2): 145-157.
[16]	Hong Ruyan, Guo Bin, Yu Yonghai. Inter-organizational trust: benefit mechanism, situational constraints and regulatory strategies [J]. Journal of Chongqing University (Social Sciences), 2020, 26 (06): 94-106.
[17]	Liu Hedong. Research on Synergy Degree of High-tech Industry Innovation System - An Empirical Analysis of Large and Medium-sized Enterprises [J]. Science and Technology Management Research, 2016, 36 (04): 133-137 + 161.
[18]	Zhang Yingqing, Fan Ruguo, Luo Ming. Research on the internal mechanism of knowledge distribution, attenuation degree and innovation mode of industrial clusters [J]. China Management Science, 2018, 26 (12): 186-196. doi: 10.16381/j.cnki.issn1003-207x.2018.12.018.
[19]	Wei Linying, Zhang Rongguang, Wang Gege, She Hongwei. Research on Collaborative Innovation Development of High-tech Industry in Shaanxi Province Based on Knowledge Chain and Industrial Chain [J]. Scientific Management Research, 2020, 38 (01): 71-77. doi: 10.19445/j.cnki.15-1103/g3.2020.01.012.
[20]	Songbo Chen, Yuqiang Feng, Chaoran Lin & Changxiao Zhang. Innovation efficiency evaluation of new and high technology industries based on DEA Malmquist Index [J]. Journal of Interdisciplinary Mathematics, 2017, 20 (6): 1497-1500.
[21]	Liu Lanjian, Xiang Lilin, Xia Qing. Innovation Ecosystem Assessment of High-tech Industries Based on Innovation Policy [J]. Research Management, 2020, 41 (05): 1-9. doi: 10.19571/j.cnki.1000-2995.2020.05.001.
[22]	Yuan Xumei, Cai Shuwen, Wang Wei, Zhang Xu. Modeling and simulation of collaborative innovation system of high-tech industry [J]. Science and technology progress and countermeasures, 2018, 35 (04): 63-71.
[23]	Li Bozhou, Wang Xue, Su Yi, Luo Xiaofang. Research on the evolutionary game of collaborative innovation of supply chain enterprises between strategic emerging industries in China [J]. China Management Science, 2021, 29 (08): 136-147. doi: 10.16381/j.cnki.issn1003-207x.2019.1509.
[24]	Ericsson, I. V, Dickson, G. W. Knowledge Sharing in High Technology Company [C]. Americas Conf-erence on Information Systems, 2000.1330-1335.
[25]	S. Makino & A. Delios, Local knowledge transfer and performance: Implications for Alliance Formation in Aisa [J]. Journal of International Business Studies, 1996, 27 (6): 905-927.
[26]	Chen Wei, Wang Xiufeng, Qu Hui, Wei Xuan, Lin Chaoran. Research on the influencing factors of industry-university-research collaborative innovation sharing behavior [J]. Management Review, 2020, 32 (11): 92-101. doi: 10.14120/j.cnki.cn11-5057/f.2020.11.007.
[27]	Chen Jin, Yang Yinjuan. The theoretical basis and connotation of collaborative innovation [J]. Scientific research, 2012, 30 (02): 161-164. doi: 10.16192/j.cnki.1003-2053.2012.02.001.

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Huanzhou Hong. (2023). Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship. International Journal of Business and Economics Research, 12(1), 9-17. https://doi.org/10.11648/j.ijber.20231201.12

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ACS Style

Huanzhou Hong. Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship. Int. J. Bus. Econ. Res. 2023, 12(1), 9-17. doi: 10.11648/j.ijber.20231201.12

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AMA Style

Huanzhou Hong. Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship. Int J Bus Econ Res. 2023;12(1):9-17. doi: 10.11648/j.ijber.20231201.12

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@article{10.11648/j.ijber.20231201.12,
  author = {Huanzhou Hong},
  title = {Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship},
  journal = {International Journal of Business and Economics Research},
  volume = {12},
  number = {1},
  pages = {9-17},
  doi = {10.11648/j.ijber.20231201.12},
  url = {https://doi.org/10.11648/j.ijber.20231201.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20231201.12},
  abstract = {In the era of 'Internet+' background, large flow, strong liquidity and short shelf life become the characteristics of information, technology specialization, increasing complexity, it is difficult for individual enterprises to grasp all the elements needed for successful innovation. In order to study the problem of collaborative innovation among high-tech inadustries, from the perspective of trust relationship between subjects, an evolutionary game model of collaborative innovation is constructed based on the technology intensity and spillover of high-tech industries, and the strategy evolution of subjects under market mechanism and government regulation is analyzed. The results show that innovation output and technology transformation ability promote collaborative innovation; r & D costs, 'free rider' income and so on hinder the collaborative innovation between industries; the influence of trust relationship and distribution coefficient on collaborative innovation depends on the situation. In addition, through simulation, it is found that the reward and punishment mechanisms of policies have their own advantages and disadvantages and complement each other, and the impact of supervision on collaborative innovation is diminishing marginal benefits. It is found that a reasonable policy combination can stimulate innovation potential more effectively. It is proposed that the strong technology spillover and mutual solubility between high-tech industries also lead to technology imitation. In the process of collaborative R & D, it is necessary to establish a solid strategic partnership, adhere to trust rationality, grasp the scale, and promote collaborative innovation. Under the principle of trust rationality, information sharing, cost sharing, and efforts to increase technology and information output can increase innovation benefits; the government should follow the economic law when making policies, rationally combine policies, make good use of the 'push' and 'pull' of the policy reward and punishment mechanism, promote collaborative innovation among industries, and enhance the driving force of innovation for economic development.},
 year = {2023}
}

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TY  - JOUR
T1  - Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship
AU  - Huanzhou Hong
Y1  - 2023/01/17
PY  - 2023
N1  - https://doi.org/10.11648/j.ijber.20231201.12
DO  - 10.11648/j.ijber.20231201.12
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 9
EP  - 17
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20231201.12
AB  - In the era of 'Internet+' background, large flow, strong liquidity and short shelf life become the characteristics of information, technology specialization, increasing complexity, it is difficult for individual enterprises to grasp all the elements needed for successful innovation. In order to study the problem of collaborative innovation among high-tech inadustries, from the perspective of trust relationship between subjects, an evolutionary game model of collaborative innovation is constructed based on the technology intensity and spillover of high-tech industries, and the strategy evolution of subjects under market mechanism and government regulation is analyzed. The results show that innovation output and technology transformation ability promote collaborative innovation; r & D costs, 'free rider' income and so on hinder the collaborative innovation between industries; the influence of trust relationship and distribution coefficient on collaborative innovation depends on the situation. In addition, through simulation, it is found that the reward and punishment mechanisms of policies have their own advantages and disadvantages and complement each other, and the impact of supervision on collaborative innovation is diminishing marginal benefits. It is found that a reasonable policy combination can stimulate innovation potential more effectively. It is proposed that the strong technology spillover and mutual solubility between high-tech industries also lead to technology imitation. In the process of collaborative R & D, it is necessary to establish a solid strategic partnership, adhere to trust rationality, grasp the scale, and promote collaborative innovation. Under the principle of trust rationality, information sharing, cost sharing, and efforts to increase technology and information output can increase innovation benefits; the government should follow the economic law when making policies, rationally combine policies, make good use of the 'push' and 'pull' of the policy reward and punishment mechanism, promote collaborative innovation among industries, and enhance the driving force of innovation for economic development.
VL  - 12
IS  - 1
ER  -

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Author Information

Huanzhou Hong

College of Business Administration, Guizhou University of Finance and Economics, Guiyang, China

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APA Style

Huanzhou Hong. (2023). Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship. International Journal of Business and Economics Research, 12(1), 9-17. https://doi.org/10.11648/j.ijber.20231201.12

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ACS Style

Huanzhou Hong. Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship. Int. J. Bus. Econ. Res. 2023, 12(1), 9-17. doi: 10.11648/j.ijber.20231201.12

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AMA Style

Huanzhou Hong. Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship. Int J Bus Econ Res. 2023;12(1):9-17. doi: 10.11648/j.ijber.20231201.12

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@article{10.11648/j.ijber.20231201.12,
  author = {Huanzhou Hong},
  title = {Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship},
  journal = {International Journal of Business and Economics Research},
  volume = {12},
  number = {1},
  pages = {9-17},
  doi = {10.11648/j.ijber.20231201.12},
  url = {https://doi.org/10.11648/j.ijber.20231201.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20231201.12},
  abstract = {In the era of 'Internet+' background, large flow, strong liquidity and short shelf life become the characteristics of information, technology specialization, increasing complexity, it is difficult for individual enterprises to grasp all the elements needed for successful innovation. In order to study the problem of collaborative innovation among high-tech inadustries, from the perspective of trust relationship between subjects, an evolutionary game model of collaborative innovation is constructed based on the technology intensity and spillover of high-tech industries, and the strategy evolution of subjects under market mechanism and government regulation is analyzed. The results show that innovation output and technology transformation ability promote collaborative innovation; r & D costs, 'free rider' income and so on hinder the collaborative innovation between industries; the influence of trust relationship and distribution coefficient on collaborative innovation depends on the situation. In addition, through simulation, it is found that the reward and punishment mechanisms of policies have their own advantages and disadvantages and complement each other, and the impact of supervision on collaborative innovation is diminishing marginal benefits. It is found that a reasonable policy combination can stimulate innovation potential more effectively. It is proposed that the strong technology spillover and mutual solubility between high-tech industries also lead to technology imitation. In the process of collaborative R & D, it is necessary to establish a solid strategic partnership, adhere to trust rationality, grasp the scale, and promote collaborative innovation. Under the principle of trust rationality, information sharing, cost sharing, and efforts to increase technology and information output can increase innovation benefits; the government should follow the economic law when making policies, rationally combine policies, make good use of the 'push' and 'pull' of the policy reward and punishment mechanism, promote collaborative innovation among industries, and enhance the driving force of innovation for economic development.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship
AU  - Huanzhou Hong
Y1  - 2023/01/17
PY  - 2023
N1  - https://doi.org/10.11648/j.ijber.20231201.12
DO  - 10.11648/j.ijber.20231201.12
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 9
EP  - 17
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20231201.12
AB  - In the era of 'Internet+' background, large flow, strong liquidity and short shelf life become the characteristics of information, technology specialization, increasing complexity, it is difficult for individual enterprises to grasp all the elements needed for successful innovation. In order to study the problem of collaborative innovation among high-tech inadustries, from the perspective of trust relationship between subjects, an evolutionary game model of collaborative innovation is constructed based on the technology intensity and spillover of high-tech industries, and the strategy evolution of subjects under market mechanism and government regulation is analyzed. The results show that innovation output and technology transformation ability promote collaborative innovation; r & D costs, 'free rider' income and so on hinder the collaborative innovation between industries; the influence of trust relationship and distribution coefficient on collaborative innovation depends on the situation. In addition, through simulation, it is found that the reward and punishment mechanisms of policies have their own advantages and disadvantages and complement each other, and the impact of supervision on collaborative innovation is diminishing marginal benefits. It is found that a reasonable policy combination can stimulate innovation potential more effectively. It is proposed that the strong technology spillover and mutual solubility between high-tech industries also lead to technology imitation. In the process of collaborative R & D, it is necessary to establish a solid strategic partnership, adhere to trust rationality, grasp the scale, and promote collaborative innovation. Under the principle of trust rationality, information sharing, cost sharing, and efforts to increase technology and information output can increase innovation benefits; the government should follow the economic law when making policies, rationally combine policies, make good use of the 'push' and 'pull' of the policy reward and punishment mechanism, promote collaborative innovation among industries, and enhance the driving force of innovation for economic development.
VL  - 12
IS  - 1
ER  -

Copy | Download