Designing a Fuzzy Expert System to Predict the Effectiveness of Compensation System
Background & Purpose: Focusing on the diversity of human capital in organizations and its possible role in the effectiveness of the compensation system, the purpose of this study was to predict the effectiveness of the compensation system for various types of human capital in Police Force of Qaz...
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Shahid Sattari Aeronautical University
2022-04-01
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Series: | مطالعات منابع انسانی |
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Online Access: | http://www.jhrs.ir/article_150394_0ad20eb5fc704d8edbdf3e9e07b5e24e.pdf |
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author | Monire Alipour Madarsara Gholamreza Memarzadeh Tehran Mehdi Alvani Mahmood Alborzi |
author_facet | Monire Alipour Madarsara Gholamreza Memarzadeh Tehran Mehdi Alvani Mahmood Alborzi |
author_sort | Monire Alipour Madarsara |
collection | DOAJ |
description | Background & Purpose: Focusing on the diversity of human capital in organizations and its possible role in the effectiveness of the compensation system, the purpose of this study was to predict the effectiveness of the compensation system for various types of human capital in Police Force of Qazvin Province.Methodology: The present research is descriptive, and it is applied in terms of purpose. The statistical population of the study includes 53 senior, middle, and operational managers of Qazvin Police Force, of which it was possible to access the opinions of 46 of them. The assessment tool was a questionnaire. In order to analyze the data, network analysis methods and fuzzy inference system were used.Findings: According to the results, the effectiveness of the service compensation system varies according to its types of human capital. Priority of the elements of compensation for core human capital included perquisites, rewards, salaries, benefits, welfare services, awards; for idiosyncratic human capital: salaries, benefits, perquisites, rewards, welfare services, awards; for compulsory human capital: salaries, benefits, welfare services, rewards, awards, perquisites; for ancillary human capital: benefits, rewards, salaries, welfare services, awards, perquisites respectively. Also, the evaluation of the model in the police force suggested that the most observed effectiveness belongs to compulsory human capital.Conclusion: The most important achievement of this article is designing an effective compensation system in the Police Force, which will dynamically determine the amount of output based to the amount of inputs. This model can be used to predict the effectiveness of the service compensation system. |
first_indexed | 2024-04-24T17:37:36Z |
format | Article |
id | doaj.art-b9cc74ee23c44dd0904aa4881b4caf75 |
institution | Directory Open Access Journal |
issn | 2783-0624 |
language | fas |
last_indexed | 2024-04-24T17:37:36Z |
publishDate | 2022-04-01 |
publisher | Shahid Sattari Aeronautical University |
record_format | Article |
series | مطالعات منابع انسانی |
spelling | doaj.art-b9cc74ee23c44dd0904aa4881b4caf752024-03-28T04:33:16ZfasShahid Sattari Aeronautical Universityمطالعات منابع انسانی2783-06242022-04-01121174710.22034/jhrs.2022.150394150394Designing a Fuzzy Expert System to Predict the Effectiveness of Compensation SystemMonire Alipour Madarsara0Gholamreza Memarzadeh Tehran1Mehdi Alvani2Mahmood Alborzi3Ph.D. Candidate, Department of Public Administration, Faculty of Management and Accounting, Qazvin Branch, Islamic Azad University, Qazvin, Iran.Associate Prof., Department of Public Administration, Faculty of Management and Accounting, Qazvin Branch, Islamic Azad University, Qazvin, Iran.Prof., Faculty of Public Management, Islamic Azad University of Qazvin, Qazvin, Iran.Associate Prof., Department of Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.Background & Purpose: Focusing on the diversity of human capital in organizations and its possible role in the effectiveness of the compensation system, the purpose of this study was to predict the effectiveness of the compensation system for various types of human capital in Police Force of Qazvin Province.Methodology: The present research is descriptive, and it is applied in terms of purpose. The statistical population of the study includes 53 senior, middle, and operational managers of Qazvin Police Force, of which it was possible to access the opinions of 46 of them. The assessment tool was a questionnaire. In order to analyze the data, network analysis methods and fuzzy inference system were used.Findings: According to the results, the effectiveness of the service compensation system varies according to its types of human capital. Priority of the elements of compensation for core human capital included perquisites, rewards, salaries, benefits, welfare services, awards; for idiosyncratic human capital: salaries, benefits, perquisites, rewards, welfare services, awards; for compulsory human capital: salaries, benefits, welfare services, rewards, awards, perquisites; for ancillary human capital: benefits, rewards, salaries, welfare services, awards, perquisites respectively. Also, the evaluation of the model in the police force suggested that the most observed effectiveness belongs to compulsory human capital.Conclusion: The most important achievement of this article is designing an effective compensation system in the Police Force, which will dynamically determine the amount of output based to the amount of inputs. This model can be used to predict the effectiveness of the service compensation system.http://www.jhrs.ir/article_150394_0ad20eb5fc704d8edbdf3e9e07b5e24e.pdfcompensation systemfuzzy expert systemhuman capitalpolice force |
spellingShingle | Monire Alipour Madarsara Gholamreza Memarzadeh Tehran Mehdi Alvani Mahmood Alborzi Designing a Fuzzy Expert System to Predict the Effectiveness of Compensation System مطالعات منابع انسانی compensation system fuzzy expert system human capital police force |
title | Designing a Fuzzy Expert System to Predict the Effectiveness of Compensation System |
title_full | Designing a Fuzzy Expert System to Predict the Effectiveness of Compensation System |
title_fullStr | Designing a Fuzzy Expert System to Predict the Effectiveness of Compensation System |
title_full_unstemmed | Designing a Fuzzy Expert System to Predict the Effectiveness of Compensation System |
title_short | Designing a Fuzzy Expert System to Predict the Effectiveness of Compensation System |
title_sort | designing a fuzzy expert system to predict the effectiveness of compensation system |
topic | compensation system fuzzy expert system human capital police force |
url | http://www.jhrs.ir/article_150394_0ad20eb5fc704d8edbdf3e9e07b5e24e.pdf |
work_keys_str_mv | AT monirealipourmadarsara designingafuzzyexpertsystemtopredicttheeffectivenessofcompensationsystem AT gholamrezamemarzadehtehran designingafuzzyexpertsystemtopredicttheeffectivenessofcompensationsystem AT mehdialvani designingafuzzyexpertsystemtopredicttheeffectivenessofcompensationsystem AT mahmoodalborzi designingafuzzyexpertsystemtopredicttheeffectivenessofcompensationsystem |