The Compensation Mechanism of Employee Experience from the Perspective of Algorithmic Management -- Based on the Perspective of Internal Marketing Strategy

Abstract

With the wide application of artificial intelligence technology in human resource management, algorithm management is gradually becoming an important factor affecting employees' work experience. However, the efficiency priority logic followed by the algorithm system often conflicts with the psychological needs of employees, which may lead to the "dehumanization" of employees' experience. This paper aims to explore how enterprises can alleviate this structural tension by constructing a compensation mechanism to optimize the employee experience under algorithmic management, and analyze this process in the theoretical framework of internal marketing. This paper first reviews the dual impact of algorithm management on employee experience, and then expounds the evolution logic of the compensation mechanism from "efficiency compensation" as the guidance to "meaning giving" as the core. On this basis, a four-dimensional strategy system including institutional compensation, relationship compensation, psychological compensation and development compensation is proposed. The research shows that the employee experience compensation mechanism under algorithm management essentially reflects the internal marketing process in which enterprises regard employees as internal customers and obtain employee commitment through value transfer.