A Performance Analysis Model for Corporate Human Resource Management Based on Extenics Theory
There are several problems with the performance analysis of corporate human resource management (HRM), namely, the incomplete index system and the difficulty in decision-making under multiple fuzzy factors. To solve these problems, this paper improves the method for corporate HRM performance analysi...
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Format: | Article |
Language: | English |
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Wiley
2022-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2022/5108338 |
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author | Mingyan Li Tiantian Gao Jianxue Wang Huanyu Wang |
author_facet | Mingyan Li Tiantian Gao Jianxue Wang Huanyu Wang |
author_sort | Mingyan Li |
collection | DOAJ |
description | There are several problems with the performance analysis of corporate human resource management (HRM), namely, the incomplete index system and the difficulty in decision-making under multiple fuzzy factors. To solve these problems, this paper improves the method for corporate HRM performance analysis (HRMPA). First, a novel corporate HRMPA index system was established under the principle of comprehensiveness. Next, the fuzzy closeness of corporate HRMPA was calculated based on fuzzy theory, and the extenics correlation coefficient of corporate HRMPA was computed with the aid of the extenics theory. Then, fuzzy extenics factors were introduced to create an integrated corporate HRMPA model. The proposed model was proved valid and feasible through case analysis. The research results shed new light on the theories of HRMPA and enjoy great applicable value in engineering. |
format | Article |
id | doaj-art-7074838343884202a3ae374c0e282663 |
institution | Kabale University |
issn | 1607-887X |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
spelling | doaj-art-7074838343884202a3ae374c0e2826632025-02-03T06:12:14ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/5108338A Performance Analysis Model for Corporate Human Resource Management Based on Extenics TheoryMingyan Li0Tiantian Gao1Jianxue Wang2Huanyu Wang3School of Public Finance and AdministrationState Grid Economic and Technological Research Institute Co., Ltd.School of Economics and ManagementUniversity of GlasgowThere are several problems with the performance analysis of corporate human resource management (HRM), namely, the incomplete index system and the difficulty in decision-making under multiple fuzzy factors. To solve these problems, this paper improves the method for corporate HRM performance analysis (HRMPA). First, a novel corporate HRMPA index system was established under the principle of comprehensiveness. Next, the fuzzy closeness of corporate HRMPA was calculated based on fuzzy theory, and the extenics correlation coefficient of corporate HRMPA was computed with the aid of the extenics theory. Then, fuzzy extenics factors were introduced to create an integrated corporate HRMPA model. The proposed model was proved valid and feasible through case analysis. The research results shed new light on the theories of HRMPA and enjoy great applicable value in engineering.http://dx.doi.org/10.1155/2022/5108338 |
spellingShingle | Mingyan Li Tiantian Gao Jianxue Wang Huanyu Wang A Performance Analysis Model for Corporate Human Resource Management Based on Extenics Theory Discrete Dynamics in Nature and Society |
title | A Performance Analysis Model for Corporate Human Resource Management Based on Extenics Theory |
title_full | A Performance Analysis Model for Corporate Human Resource Management Based on Extenics Theory |
title_fullStr | A Performance Analysis Model for Corporate Human Resource Management Based on Extenics Theory |
title_full_unstemmed | A Performance Analysis Model for Corporate Human Resource Management Based on Extenics Theory |
title_short | A Performance Analysis Model for Corporate Human Resource Management Based on Extenics Theory |
title_sort | performance analysis model for corporate human resource management based on extenics theory |
url | http://dx.doi.org/10.1155/2022/5108338 |
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