Application of analytic hierarchy process to the employee performance evaluation
Dayong Xu
Abstract
Dayong Xu
Abstract
The objective evaluation of the application of analytic hierarchy process decision-making, is a very effective organic combination of qualitative analysis and quantitative analysis methods. For employee performance evaluation decision-making is also a multi-target, multi-level, complex structure, many factors system evaluation and decision-making and thus the use of the analytic hierarchy process for such projects is appropriate. For employee performance evaluation indicators established and reasonable quantitative problems, including employees work ability, work attitude, work performance, including a more comprehensive index evaluation system using analytic hierarchy process to build a comprehensive evaluation model, and gives comprehensive evaluation value is calculated. Combined with case analysis of employee performance evaluation, the results show that the analytic hierarchy process to improve the reasonableness and accuracy of the reviews.
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The objective evaluation of the application of analytic hierarchy process decision-making, is a very effective organic combination of qualitative analysis and quantitative analysis methods. For employee performance evaluation decision-making is also a multi-target, multi-level, complex structure, many factors system evaluation and decision-making and thus the use of the analytic hierarchy process for such projects is appropriate. For employee performance evaluation indicators established and reasonable quantitative problems, including employees work ability, work attitude, work performance, including a more comprehensive index evaluation system using analytic hierarchy process to build a comprehensive evaluation model, and gives comprehensive evaluation value is calculated. Combined with case analysis of employee performance evaluation, the results show that the analytic hierarchy process to improve the reasonableness and accuracy of the reviews.
Key concepts: Analytic hierarchy process, Analytic network process, Hierarchy, Computer science, Process (computing), Management science, Work (physics), Quantitative analysis (chemistry)