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Study on the Growth Driving Model of the Enterprise Innovation Community Based on the Lotka–Volterra Model: A Case Study of the Chinese Automobile Manufacturing Enterprise Community

Author

Listed:
  • Mei-Xia Pan
  • Sheng-Yuan Wang
  • Xiao-Lan Wu
  • Mei-Wen Zhang

Abstract

The goal of this paper is to establish a feasible three‐species equilibrium model to analyze the symbiotic relationship of an automobile manufacturing community. In order to extend the Lotka–Volterra model to empirical analysis, this paper proposes an enterprise community symbiosis model based on a three‐dimensional Lotka–Volterra model, as the classical two‐dimensional Lotka–Volterra model has limited application scenarios. This paper takes the innovation assets of three communities of the Chinese automobile manufacturing industry as samples. The industrial community related to automobile manufacturing consists of the automobile manufacturing population, automobile parts population, and enterprise service industry population. The symbiosis system is empirically analyzed from two aspects: the balanced development of the three populations and the competitive evolution of the three populations. The stability of the model is tested by the data from information technology and the intelligent manufacturing community. In the process of dynamic simulation, the symbiotic relationship between automobile manufacturing‐related populations shows a significant “skew symbiotic relationship.” This paper reconstructs the “whole population symbiosis” optimization model as skew distribution is difficult to apply to support collaborative development. The symbiosis optimization under the equilibrium state of the three populations shows that the growth of the three automobile manufacturing industry populations has the possibility of equilibrium and reciprocity. The empirical analysis fully demonstrates the feasibility of this research paradigm. The evolution analysis of the symbiotic system shows that cooperative behavior is better than competitive strategy. The research paradigm proposed in this paper can better analyze the symbiosis mechanism of the enterprise community.

Suggested Citation

  • Mei-Xia Pan & Sheng-Yuan Wang & Xiao-Lan Wu & Mei-Wen Zhang, 2023. "Study on the Growth Driving Model of the Enterprise Innovation Community Based on the Lotka–Volterra Model: A Case Study of the Chinese Automobile Manufacturing Enterprise Community," Mathematical Problems in Engineering, John Wiley & Sons, vol. 2023(1).
  • Handle: RePEc:wly:jnlmpe:v:2023:y:2023:i:1:n:8743167
    DOI: 10.1155/2023/8743167
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    References listed on IDEAS

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    1. Baskaran, Shruthi & Mehta, Khanjan, 2016. "What is innovation anyway? Youth perspectives from resource-constrained environments," Technovation, Elsevier, vol. 52, pages 4-17.
    2. Petr Hajek & Roberto Henriques, 2017. "Modelling innovation performance of European regions using multi-output neural networks," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-21, October.
    3. Namazi, Mehdi & Mohammadi, Emran, 2018. "Natural resource dependence and economic growth: A TOPSIS/DEA analysis of innovation efficiency," Resources Policy, Elsevier, vol. 59(C), pages 544-552.
    4. Fukuda, Kayano, 2020. "Science, technology and innovation ecosystem transformation toward society 5.0," International Journal of Production Economics, Elsevier, vol. 220(C).
    5. Eun Sun Kim & Kuk Jin Bae & Jeongeun Byun, 2020. "The History and Evolution: A Big Data Analysis of the National Innovation Systems in South Korea," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    6. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    7. Xiao-Lan Wu & Sheng-Yuan Wang & Ya-Zhen Liu & Jing Liang & Xin Yu & Chittaranjan Hens, 2021. "Competition Equilibrium Analysis of China’s Luxury Car Market Based on Three-Dimensional Grey Lotka–Volterra Model," Complexity, Hindawi, vol. 2021, pages 1-14, December.
    8. George A Shinkle & Jo-Ann Suchard, 2019. "Innovation in newly public firms: The influence of government grants, venture capital, and private equity," Australian Journal of Management, Australian School of Business, vol. 44(2), pages 248-281, May.
    9. Stefan Töpfer & Uwe Cantner & Holger Graf, 2019. "Structural dynamics of innovation networks in German Leading-Edge Clusters," The Journal of Technology Transfer, Springer, vol. 44(6), pages 1816-1839, December.
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