Title: Research on strategy selection for innovation through multi-party cooperation between police and enterprises based on evolutionary game theory

Authors: Qilei Wang

Addresses: Research Centre for Modern Police Technology and Equipment, China People's Police University, Langfang City, Hebei Province, 065000, China

Abstract: Framed against the backdrop of technology bolstering policing efforts through cooperation, a three-party game model involving a public security organ, research institute, and production enterprise is established. By identifying the equilibrium points of the model, a detailed analysis is conducted on how parameters like costs, benefits, and usage levels influence the system's evolutionary path. Moreover, an examination of the contributions to cooperative innovation by the three parties is undertaken. The research findings indicate that an increase in expected additional revenue per unit product and sales volume, along with reduced total costs of cooperative innovation, will effectively steer the public security organ, research institute, and production enterprise towards cooperative innovation. Optimal evolution towards cooperative innovation can be achieved through the implementation of well-thought-out strategies that streamline the cost and benefit distribution mechanism. Notably, substantial compensation mechanisms can incentivise all units to opt for cooperative ventures, ensuring the system evolves towards Pareto optimality. It is worth highlighting that as the end-users of products, the public security organ plays a pivotal role in the process.

Keywords: police-enterprise cooperation; cooperative innovation; evolutionary game theory; benefit distribution; innovation contribution.

DOI: 10.1504/IJADS.2026.155061

International Journal of Applied Decision Sciences, 2026 Vol.19 No.4, pp.341 - 359

Received: 21 May 2024
Accepted: 26 Nov 2024
Published online: 25 Jul 2026 *

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