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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Main Authors: Mingyan Li, Tiantian Gao, Jianxue Wang, Huanyu Wang
Format: Article
Language:English
Published: Wiley 2022-01-01
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
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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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