Artificial Intelligence Techniques Introduced Into Evolutionary Games and Simulation Studies

Abstract

The advent of the artificial intelligence (AI) era has greatly facilitated enterprises, while also accelerating the pace of business transformation and development. However, the digital transformation process of small and medium-sized enterprises (SMEs) is progressing slowly. Therefore, it is necessary to study the constraints and enhancement strategies related to the adoption of artificial intelligence technology in SMEs. This article takes robotic process automation (RPA) technology as an example to construct a tripartite game relationship involving enterprise employees, technology service platforms, and enterprise leaders in the introduction of artificial intelligence technology. It explores the factors influencing the strategic choices of each party and summarizes the mechanisms underlying these strategic choices. Research findings indicate that 1) in the tripartite evolutionary game introduced by AI technology, three relatively stable equilibrium states exist; 2) when all participants have the same initial intentions, the degree of strategy evolution for each participant varies under different circumstances. The initial intentions of enterprise employees significantly influence their choices 3) participants’ strategy choices are significantly influenced by various factors related to the adoption and management of RPA technology. These factors include the benefits employees gain from adopting RPA technology and the incentives provided by leadership for employees to use RPA technology. Consequently, we recommend that firms implement targeted promotional activities and incentive measures, integrating RPA technology adoption into their overarching strategy. This approach aims to enhance the initial willingness of all strategic stakeholders, ensuring the stability of AI technology adoption, particularly within SMEs.

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