Growth Scale Optimization of Discrete Innovation Population Systems with Multichoice Goal Programming

Zhai, Sulan; Liu, Ying; Wang, Shengyuan; Wu, Xiaolan

doi:10.1155/2021/5907293

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…Ecosystem theory can link natural ecosystem research with social ecosystem research well [51]. In the field of social science research, innovation system [52,53], education system [54], and industrial system [55] can all be explained by ecosystem theory. For example, in the automobile industry, automobile manufacturing enterprises can be regarded as a population.…”

Section: Ecosystem Perspective and Population Dynamicsmentioning

confidence: 99%

Assessment of Enterprise Life Cycle Based on Two-Stage Logistic Model: Exemplified by China’s Automobile Manufacturing Enterprises

Wang

2022

Sustainability

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Enterprises in socio-economic ecosystems, like organisms in natural ecosystems, have life cycles. Since the enterprise life cycle theory was proposed, how to measure the enterprise life cycle has been a hot research topic. In order to assess the life cycle of an enterprise, a two-stage logistic model was proposed in this research, based on ecological theory and a population dynamics model. The first-stage logistic model measures the internal inhibition coefficient, intrinsic growth rate, and theoretical upper limit of enterprise development scale. The second-stage logistic model deals with the theoretical upper limit of enterprise development scale in the declining period, and measures the intrinsic growth rate, internal inhibition coefficient, and the theoretical upper limit of enterprise development scale in the declining period. In this study, an empirical analysis is conducted with Chinese automobile enterprises, which shows that an enterprise should withdraw from the market by insolvency liquidation or restructuring when both the intrinsic growth rate and internal inhibition coefficient are less than zero. Finally, this paper proposes the evaluation matrix of intrinsic growth and market potential. This matrix can intuitively give the evaluation method of the enterprise life cycle.

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Section: Ecosystem Perspective and Population Dynamicsmentioning

confidence: 99%

Assessment of Enterprise Life Cycle Based on Two-Stage Logistic Model: Exemplified by China’s Automobile Manufacturing Enterprises

Wang

2022

Sustainability

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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

Pan

Wang

et al. 2023

Mathematical Problems in Engineering

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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.

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Growth Scale Optimization of Discrete Innovation Population Systems with Multichoice Goal Programming

Cited by 2 publications

References 31 publications

Assessment of Enterprise Life Cycle Based on Two-Stage Logistic Model: Exemplified by China’s Automobile Manufacturing Enterprises

Assessment of Enterprise Life Cycle Based on Two-Stage Logistic Model: Exemplified by China’s Automobile Manufacturing Enterprises

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

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