An Analysis of The Effects of Excess Qualification and Self-Efficacy on Individual Performance -- Based on Experimental and Mathematical Statistics Analysis

In order to improve the balanced development ability of enterprises in the economic market and create higher profits and values for enterprise organization and operation, the effects of excess qualification and self-efficacy on the individual performance were analyzed. The influence of different factors on individual performance was clarified by using the neural network analysis method and the factors were then screened. Next, the assessment index system based on the individual performance was constructed. Delphi method was introduced to analyze the weight value of the corresponding index. In the process, the quality and quantity of individual performance were selected as the assessment index of enterprise qualification surplus, and the index of personal attitude was taken as the evaluation index of employee self-efficacy. Then based on the analysis results, the action mechanism diagram of excess qualification on the individual performance was drawn, and then the action effect hypothesis of H1 was put forward. Combined with the causal variable model of self-efficacy, the mediating effect of self-efficacy on the individual performance were analyzed and the hypothesis of H2 was proposed. With a comprehensive discussion, the results of effect analysis were obtained: excess qualification had a negative impact on the individual performance, while self-efficacy had a positive impact on the individual performance.