Competition Analysis on Industry Populations Based on a Three-Dimensional Lotka–Volterra Model

Wang, Shengyuan; Wan-ming, Chen; Wu, Xiaolan

doi:10.1155/2021/9935127

Cited by 13 publications

(9 citation statements)

References 51 publications

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“…Compared with the traditional Lotka-Volterra model [1][2][3][4], the threedimensional grey Lotka-Volterra model has higher accuracy. Compared with the grey Lotka-Volterra model [5,17,18], the Grey-Logistic model [30], and the threedimensional Lotka-Volterra Model [31][32][33][34], the three-dimensional grey Lotka-Volterra model is more applicable.…”

Section: Resultsmentioning

confidence: 99%

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Competition Equilibrium Analysis of China’s Luxury Car Market Based on Three‐Dimensional Grey Lotka–Volterra Model

Wang

Liu

et al. 2021

Complexity

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An enterprise must be able to conduct in-depth analysis of the existing data as the information has certain grey characteristics, if it wants to occupy a dominant position in the fierce market competition. In this paper, a compound three-dimensional grey Lotka–Volterra model is developed to carry out the grey transformation of the original data, so that the data can have better simulation accuracy, and the observation noise of the original data can be reduced. The competitive situation analysis based on the three-dimensional grey Lotka–Volterra model can help enterprises better understand the market situation. This paper takes the luxury brand automobile market in mainland China as an example to conduct a competitive analysis and a balanced development simulation. It can be found that, based on Three Species System Analysis, there is a symbiotic relationship among automobile enterprises and that the three species model can be adopted in analyzing the competition and cooperation among enterprises. Through balanced development of a Symbiotic System Analysis, the results of symbiotic optimization under the achievable equilibrium state of three populations are obtained and they show that the proposed method can be used effectively to conduct the market competition analysis. It is thus of great importance to study the relationships among enterprises as it is helpful for enterprises to make strategic policies.

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Section: Resultsmentioning

confidence: 99%

“…g i, min and g i, max are the lower and upper limits for the goal of g i . Having learned from the relevant research [30,31], the paper has embedded the equilibrium condition of LV system into the MCGP model to obtain the Lotka-Volterra-MCGP model:…”

Section: Population Growth Under Constraints Of Ree Speciesmentioning

confidence: 99%

Competition Equilibrium Analysis of China’s Luxury Car Market Based on Three‐Dimensional Grey Lotka–Volterra Model

Wang

Liu

et al. 2021

Complexity

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“…In the field of collaborative innovation, how to make good use of the sequential effect and interference effect of individual decision-making and university-enterprise collaborative innovation decisionmaking is worthy of in-depth study. In the future research, researchers can try this method in the fields of portfolio [30], product development [33], supply chain management [34], and industrial competition analysis [35].…”

Section: Discussionmentioning

confidence: 99%

Research on the Decision Mechanism of University‐Enterprise Collaborative Innovation Based on Quantum Cognition

et al. 2021

Self Cite

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The relationship between quantum cognition and decision-making is an important field in the direction of human behavior research. The uncertain and entangled state of quantum cognition has largely explained the decision-making process with limited information and ambiguity. University-enterprise collaborative innovation, a systematic project of joint action by both parties, aims to integrate the resources of enterprises and universities and enhance their innovation capabilities. As the main decision-making parties in collaborative innovation decision-making, the university and enterprise have a state of uncertainty and entanglement in their cognitive preferences before the final decision is formed. A university-enterprise collaborative innovation decision-making model should be constructed from the perspective of enterprise decision-making, taking different innovation schemes as the final choice, and the method of quantum probability theory can be used to perform quantum cognition on the independent and joint decision-making models in the university-enterprise collaborative innovation decision-making. Research shows that the internal mechanism of university-enterprise collaborative decision-making is based on its quantum attributes, university-enterprise collaborative decision-making is more inclined to joint decision-making, joint university-enterprise collaborative decision-making is more inclined to quantum cognition incompatibility expression, and the opinions of innovative members will have sequential effects and interference effects on decision makers.

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“…The Lotka-Volterra model (L-V) can provide a scientific tool. The Lotka-Volterra model was proposed by Afred Lotka of the United States and Vito Volterra of Italy [42]. This model was initially used to study predator-prey relationships in the ecosystem.…”

Section: Organization's Tacit Knowledge Transfer Network Research Met...mentioning

confidence: 99%

Innovation Research on Symbiotic Relationship of Organization’s Tacit Knowledge Transfer Network

Jiang

Zhang

2022

Sustainability

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The sustainable development of organizations is inseparable from innovation, and tacit knowledge is the core resource used to achieve organizational innovation. Due to the implicitness of tacit knowledge and the complexity of members’ relationships, symbiotic relationships between members have dramatically affected the transfer effect of tacit knowledge. However, previous studies on tacit knowledge transfer only focus on the characteristics of the subject or object; fewer consider the role of symbiotic relationships between knowledge subjects. An organization’s tacit knowledge transfer network (OTKTN) is a dynamic knowledge transfer network established among multiple members. Tacit knowledge transfer and sharing among network members conform to the symbiotic feature. To examine various relationships between members, and to investigate the mechanisms that impact tacit knowledge transfer, this article aims to analyze the symbiotic relationships in OTKTN based on the symbiotic perspective. The Lotka–Volterra model was used to construct symbiotic evolution model, and symbiotic coefficients were constructed from the four levels: knowledge-based psychological personal ownership (KPPO) of the knowledge provider, media richness, trust of the knowledge receiver, and organizational rewards matching, to discuss symbiotic modes. Finally, numerical simulation software was applied to simulate the evolution of knowledge levels in members. The results show that the four kinds of symbiotic modes between members include independence, commensalism, asymmetric mutualism, and symmetric mutualism. Symmetric mutualism is the best mode. In this mode, maximum level in independence mode affects the final stable knowledge level; the initial knowledge amount and natural growth rate both affect knowledge growth rate. Media richness, receiver’s trust, and organizational rewards matching can increase members’ tacit knowledge, but the knowledge provider’s KPPO inhibits members’ tacit knowledge growth. This article provides guidance to form a healthy symbiotic relationship and help organizations increase tacit knowledge.

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Competition Analysis on Industry Populations Based on a Three-Dimensional Lotka–Volterra Model

Cited by 13 publications

References 51 publications

Competition Equilibrium Analysis of China’s Luxury Car Market Based on Three‐Dimensional Grey Lotka–Volterra Model

Competition Equilibrium Analysis of China’s Luxury Car Market Based on Three‐Dimensional Grey Lotka–Volterra Model

Research on the Decision Mechanism of University‐Enterprise Collaborative Innovation Based on Quantum Cognition

Innovation Research on Symbiotic Relationship of Organization’s Tacit Knowledge Transfer Network

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