Abstract
The collaborative evaluation of enterprise innovation populations is a hot issue. The Lotka–Volterra model is a mature method used to evaluate the interaction mechanism of populations and is widely used in innovation ecology research studies. The Lotka–Volterra model mainly focuses on the quantitative characteristics of the interactive populations. The growth mechanisms cannot explain all the synergy mechanisms of the innovative populations. The collaborative evaluation between enterprise innovation populations is a typical multiobjective evaluation problem. The multichoice goal programming model is a mature method to solve multiobjective optimization problems. This paper combines the Lotka–Volterra model and multichoice goal programming method to construct a three-stage multiobjective collaboration evaluation method based on Lotka–Volterra equilibrium. An evaluation example is used to illustrate the application process of this method. The method proposed in this paper has excellent performance in computing, parameter sensitivity analysis, and model stability analysis.
Highlights
Innovation activity is a systems engineering issue
The negative cases in reality challenge the self-organization evolution of the innovation ecosystem. e reason lies in the lack of detailed and in-depth analysis of the mechanisms at play in innovation ecosystem. e innovation ecosystem is a complex system, and its operation is inevitably affected by the interaction between the subsystems
The paper used optimization values to evaluate the population size suitability, which makes the evaluation more operable. e results show that the combination of Lotka–Volterra model and multichoice goal programming model can better evaluate the scale suitability of innovation populations (IPs) within a region
Summary
Innovation activity is a systems engineering issue. It is difficult for a single organization to have all the resources necessary for innovation. Other studies found that industrial clusters have a negative effect on enterprise innovation [11, 12] Given these two different conclusions, it is necessary to establish a new framework to analyze the relationships between an enterprise’s population size and its innovation ability. On the basis of previous studies, this paper selects interdependent innovation populations as the research object and uses the Lotka–Volterra model to study the level of synergy and balance between innovation populations in the innovation ecosystem. The research organization of this article is as follows: (1) this paper uses population dynamics (Lotka–Volterra model) to analyze the influence mechanism between interactive innovation populations.
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