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<p>Human resource management is a more important part of public sector internal management. Based on the principles of objectivity, comprehensiveness, and significance of indicator construction, this paper constructs a human resource management performance assessment model in public community governance. It introduces the entropy weight method and TOPSIS method to comprehensively and objectively calculate the degree of influence of each evaluation indicator on public human resource management performance. Meanwhile, taking the data of public community governance in County S as an example, the vertical and horizontal comparisons of public human resource management performance are carried out to explore the corresponding public human resource management performance improvement strategies. The results of the study show that in the public human resource management of County S city, the weight of the character factor indicator is the largest (0.3801), and that of the diligence element is the smallest (0.0936), indicating that the character factor has the greatest influence on the human resource management performance of public community governance in County S city. In order to improve performance, it is recommended to promote the optimization of the management system by combining the performance management experience, as well as to continuously innovate the human resource incentive methods through multiple research.</p>
</abstract>

Human resource management is a more important part of public sector internal management. Based on the principles of objectivity, comprehensiveness, and significance of indicator construction, this paper constructs a human resource management performance assessment model in public community governance. It introduces the entropy weight method and TOPSIS method to comprehensively and objectively calculate the degree of influence of each evaluation indicator on public human resource management performance. Meanwhile, taking the data of public community governance in County S as an example, the vertical and horizontal comparisons of public human resource management performance are carried out to explore the corresponding public human resource management performance improvement strategies. The results of the study show that in the public human resource management of County S city, the weight of the character factor indicator is the largest (0.3801), and that of the diligence element is the smallest (0.0936), indicating that the character factor has the greatest influence on the human resource management performance of public community governance in County S city. In order to improve performance, it is recommended to promote the optimization of the management system by combining the performance management experience, as well as to continuously innovate the human resource incentive methods through multiple research.

Human Resource Management Performance Assessment and Enhancement in Public Community Governance

North China University of Water Resources and Electric Power

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Human resource management is a more important part of public sector internal management. Based on the principles of objectivity, comprehensiveness, and...

Human Resource Management Performance Assessment and Enhancement in Public Community Governance

Pubblicato online: 02 lug 2024

Pagine: -

Ricevuto: 18 mar 2024

Accettato: 05 giu 2024

DOI: https://doi.org/10.2478/amns-2024-1544

Parole chiave
Human resource management, Entropy weight method, TOPSIS, Performance assessment model, Public community governance

© 2024 Lei Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Human Resource Management Performance Assessment and Enhancement in Public Community Governance

Pubblicato online: 02 lug 2024

Pagine: -

Ricevuto: 18 mar 2024

Accettato: 05 giu 2024

DOI: https://doi.org/10.2478/amns-2024-1544

Parole chiaveHuman resource management, Entropy weight method, TOPSIS, Performance assessment model, Public community governance

© 2024 Lei Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Human resource management, Entropy weight method, TOPSIS, Performance assessment model, Public community governance