Using Functional Job Analysis in Performance Evaluation and Compensation Assessment—An Empirical Study for a Distribution Center
碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 91 === The purpose of this study is to investigate the performance and compensation appraisal system of an organization by using job analysis. The technique of Functional Job Analysis (FJA) is used to calculate the performance score of a job in terms of three index...
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ndltd-TW-091CYUT50310102019-05-15T20:22:42Z http://ndltd.ncl.edu.tw/handle/94qh7t Using Functional Job Analysis in Performance Evaluation and Compensation Assessment—An Empirical Study for a Distribution Center 應用功能性職務分析於員工績效評估與薪資核定—以某物流公司為例 Shiang-liang Shiu 徐祥亮 碩士 朝陽科技大學 工業工程與管理系碩士班 91 The purpose of this study is to investigate the performance and compensation appraisal system of an organization by using job analysis. The technique of Functional Job Analysis (FJA) is used to calculate the performance score of a job in terms of three indexes: data, people, and things. Regression analysis is conducted, with performance score and years of service as independent variables and salary as dependent variable, to identify the salary structure of an organization. The result shows that years of service is insignificant in this regression model. Our explanation is that the content of a job usually gets more complicated as the job-holder stays in the company longer, and the performance score would have well reflect the complexity of the job. The revised regression model demonstrates very high fitness, which indicates that the compenxation appraisal system is fair in our stuying case. Our regression model can serve as a prediction tool for companies to appraise and determine the salary of a new employee. Chi-Bin Cheng 鄭啟斌 2003 學位論文 ; thesis 125 zh-TW |
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碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 91 === The purpose of this study is to investigate the performance and compensation appraisal system of an organization by using job analysis. The technique of Functional Job Analysis (FJA) is used to calculate the performance score of a job in terms of three indexes: data, people, and things. Regression analysis is conducted, with performance score and years of service as independent variables and salary as dependent variable, to identify the salary structure of an organization. The result shows that years of service is insignificant in this regression model. Our explanation is that the content of a job usually gets more complicated as the job-holder stays in the company longer, and the performance score would have well reflect the complexity of the job. The revised regression model demonstrates very high fitness, which indicates that the compenxation appraisal system is fair in our stuying case. Our regression model can serve as a prediction tool for companies to appraise and determine the salary of a new employee.
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Chi-Bin Cheng |
author_facet |
Chi-Bin Cheng Shiang-liang Shiu 徐祥亮 |
author |
Shiang-liang Shiu 徐祥亮 |
spellingShingle |
Shiang-liang Shiu 徐祥亮 Using Functional Job Analysis in Performance Evaluation and Compensation Assessment—An Empirical Study for a Distribution Center |
author_sort |
Shiang-liang Shiu |
title |
Using Functional Job Analysis in Performance Evaluation and Compensation Assessment—An Empirical Study for a Distribution Center |
title_short |
Using Functional Job Analysis in Performance Evaluation and Compensation Assessment—An Empirical Study for a Distribution Center |
title_full |
Using Functional Job Analysis in Performance Evaluation and Compensation Assessment—An Empirical Study for a Distribution Center |
title_fullStr |
Using Functional Job Analysis in Performance Evaluation and Compensation Assessment—An Empirical Study for a Distribution Center |
title_full_unstemmed |
Using Functional Job Analysis in Performance Evaluation and Compensation Assessment—An Empirical Study for a Distribution Center |
title_sort |
using functional job analysis in performance evaluation and compensation assessment—an empirical study for a distribution center |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/94qh7t |
work_keys_str_mv |
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