Analysis on the Influence Mechanism of Employees' Active Behavior Based on Data Mining and Mobile Edge Computing Technology

Abstract

High-level comprehensive talents are an indispensable key factor for enterprises to achieve sustainable development in a modern society with global integration, highly developed computer network technology, and information technology. Organizations must set new standards for employee job performance in the current environment, which necessitates active participation on the part of employees. The impact mechanism of employees' active behavior is examined using data mining and mobile edge computing technology in this study. Collect data using mobile computing nodes, build a data analysis model based on data mining theory, and change the traditional data processing method of businesses by optimizing their existing business data processing processes. We can grasp the influence mechanism of employees' active behavior and discover potential information relationships using multidimensional data analysis. The true cause of employee active behavior influence mechanism data was determined. In addition, the mediating effect of responsibility and the moderating effect of contract type are investigated, as well as the impact of psychological contract satisfaction on proactive behavior among employees.