Configuration Study on Influencing Factors of Platform Employee Initiative under Algorithmic Program

Abstract

Under the overall pressure of the employment situation in China, the number of platform employees is increasing gradually. Under the algorithm program, how to rationally allocate platform employees’ work tasks and improve employee motivation are affected by many factors. This paper uses random interviews with drip drivers in Guangdong and Anhui as a first-hand data sample and uses a clear set qualitative comparison method to analyze and study the configuration of factors affecting employee motivation. Emphasizes that the platform should pay attention to the role of multi-factor coupling in improving employee motivation; Increase employee participation in platform strategic decision-making and procedural fairness among platform employees. The main theoretical contributions of this paper are as follows: Firstly, the factors that affect the enthusiasm of the algorithm program are combed; Second, it verifies the path of different factors to improve employee motivation. The results of the study show that different program settings can meet the needs of employees to varying degrees, thus improving the enthusiasm of employees.