Volume 10, Issue 38 (Spring 2022)
IUESA 2022, 10(38): 127-142 |
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Ahmadvand S, Rahmani H. Designing the Human Resource Architecture Model of Tehran Municipality Based on the Governance Approach. IUESA 2022; 10 (38) :127-142
URL: http://iueam.ir/article-1-1870-en.html
URL: http://iueam.ir/article-1-1870-en.html
1- Islamic Azad University, Qazvin Branch, Qazvin, Iran
2- Department of Public Administration, Islamic Azad University, Qazvin Branch, Qazvin, Iran ,rahmani.hd@gmail.com
2- Department of Public Administration, Islamic Azad University, Qazvin Branch, Qazvin, Iran ,
Abstract: (1229 Views)
The purpose of this study is to design an architectural model of human resources in Tehran Municipality based on the governance approach. This research is applied in terms of purpose and quantitative data analysis has been used. Fuzzy inference system was used to analyze the data and interviews with experts were used to identify the fuzzy rules. The statistical population of this study was 5 municipal experts who knew the typology of activities and 5 university experts were used to identify the rules. The output of the text reading table is four hierarchical knowledge-based sovereignty, outsourced job-oriented sovereignty, contract-joint sovereignty from above and partnership-network sovereignty, as well as four inputs of transferability, absorption capacity, knowledge maturity and power. Financial, identified. All input membership functions were identified with three tags and four tags were identified for the output variable. The number of fuzzy rules chosen by the experts also reached 21. The model was implemented for a motor activity in the General Directorate of Support. Four input modes of the model were extracted from municipal experts and the model was implemented. The output obtained from MATLAB software suggested participatory-network governance, which was also in line with the opinion of experts.
Type of Study: Research |
Subject:
Special
Received: 2021/08/24 | Accepted: 2021/11/23 | Published: 2022/05/31 | ePublished: 2022/05/31
Received: 2021/08/24 | Accepted: 2021/11/23 | Published: 2022/05/31 | ePublished: 2022/05/31
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