Abstract

Knowledge, capabilities, and quality can be used as three temperatures in employee value-added characteristics in corporate employee performance. They are closely coupled, and knowledge is the basis of ability and quality. The ability is to form and develop in the process of mastering knowledge. The quality is a potential ability. The quality itself is not the ability. Quality is a relatively stable quality and accomplishment formed by internalizing knowledge and skills acquired from the outside into people's body and mind through individual cognition and social practice on the basis of innate physiology and under the influence of acquired environment and psychology. Quality determines whether the employee's knowledge and ability can function correctly and effectively, and is the director of knowledge capabilities. According to the analysis and learning from scholars of literature employees' job performance evaluation, we constructed an employee performance evaluation index system of evaluation on the basis of value-based employees. In this system, there are three levels of evaluation indicators. The level indicators are as follows: knowledge of value-added indicators, the ability to add value, and quality index value. These indicators are consistent with the analysis of employee training objectives and psychological quality. In this study, for each level of each indicator we have specific labeling instructions, which is more convenient for the relevant calculations.

Highlights

  • As we all know, the high and low level of employee’s starting point is very large, and the traditional evaluation neglects the difference in employee starting point

  • E main content of the value-added psychological evaluation is to collect the tests of employees in front and rear psychological knowledge, skills, quality, and after comparison, the knowledge, ability, and quality growth of Journal of Healthcare Engineering employees during the work are analyzed. en it makes a comprehensive evaluation of the psychological efficiency and work efficiency of the enterprise [3]

  • Fuzzy comprehensive evaluation method is a method and tool to effectively analyse and judge the fuzzy system according to the basic principles of fuzzy mathematics. is method is based on the relationship between qualitative and quantitative, unifies the accurate and imprecise ideas with the processing method of fuzzy mathematics, and has unique advantages in the complex system evaluation, which is difficult to express in detail. e fuzzy comprehensive evaluation method includes single-level fuzzy comprehensive evaluation model and multilevel fuzzy comprehensive evaluation model

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Summary

Introduction

The high and low level of employee’s starting point is very large, and the traditional evaluation neglects the difference in employee starting point. E difference in working conditions and concentration work at the time of participation of employees, that is, the changes in the development of employees, can be attributed to corporate psychology; the increase in employee development, that is, employee value-added, can be seen as a business, employee, or work In this sense, the health evaluation is concerned with the development of employees. In terms of evaluation methods, the analysis method for the evaluation of health is relatively complex and complete, in particular hierarchical analysis-fuzzy evaluation comprehensive analysis method for systematic analysis of “value-added” data obtained in the value-added evaluation process Using this method, the health evaluation can exclude other interference factors that affect employees and corporate psychological effects; collect effective data such as employees' psychological foundation, intelligence level, working ability and cultural quality for objective evaluation [5]

Employees’ Knowledge Value-Added Indicators
Employee’s Ability to Add Value Indicators: eory and Practice
AHP Hierarchy Analysis (1) Basic Method and Step of Level
Fuzzy Comprehensive Evaluation Method
Analysis Steps of AHP Fuzzy Comprehensive Evaluation
Empirical Research
Analysis of Secondary Index Evaluation Results
Analysis of Comprehensive Evaluation Results
Conclusions
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