Systemic evaluation of human resources risks in the public sector
This study tries to design a model for assessing and prioritizing human resources risks, using systems thinking and relying on the experiences of Mashhad Municipality in Iran. Reviewing various sources, this study identifies risks in human resources and uncovers the cause and effect relationships be...
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| Veröffentlicht in: | Systems research and behavioral science 2023-11, Vol.40 (6), p.924-944 |
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| creator | Shoja, Mina Kharazmi, Omid Ali Ajza Shokouhi, Mohamad |
| description | This study tries to design a model for assessing and prioritizing human resources risks, using systems thinking and relying on the experiences of Mashhad Municipality in Iran. Reviewing various sources, this study identifies risks in human resources and uncovers the cause and effect relationships between their dimensions and components. Then, using qualitative and quantitative methods, the proposed model is evaluated. Results show five main subsystems of human resources operational risks, personal risks, professional risks, human capital risks and contextual risks. The results also show that there is a dynamic relationship between the components of these subsystems. It is shown that human resources' operational risks have the highest probability of occurrence and intensity of impact and human capital risks have the lowest probability of occurrence and intensity of impact. The system diagrams of this study provide researchers and practitioners with a comprehensive perspective to consider human resources risks in public organizations. |
| doi_str_mv | 10.1002/sres.2904 |
| format | Article |
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Reviewing various sources, this study identifies risks in human resources and uncovers the cause and effect relationships between their dimensions and components. Then, using qualitative and quantitative methods, the proposed model is evaluated. Results show five main subsystems of human resources operational risks, personal risks, professional risks, human capital risks and contextual risks. The results also show that there is a dynamic relationship between the components of these subsystems. It is shown that human resources' operational risks have the highest probability of occurrence and intensity of impact and human capital risks have the lowest probability of occurrence and intensity of impact. 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The system diagrams of this study provide researchers and practitioners with a comprehensive perspective to consider human resources risks in public organizations.</description><subject>Cause & effect diagrams</subject><subject>Human capital</subject><subject>Human resources</subject><subject>human resources risks</subject><subject>Iran</subject><subject>Mashhad</subject><subject>Municipalities</subject><subject>municipality</subject><subject>Prioritizing</subject><subject>Public sector</subject><subject>Quantitative analysis</subject><subject>Risk assessment</subject><subject>Subsystems</subject><subject>systems thinking</subject><issn>1092-7026</issn><issn>1099-1743</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1kM1OwzAQhC0EEqVw4A0sceKQdu3EjXOsqlKQKiFROFuOs1ZT8oedgPr2OC1XTruHb2Z3hpB7BjMGwOfeoZ_xDJILMmGQZRFLk_jytPMoBb64JjfeHwAYMMYmZLk7-h7r0lD81tWg-7JtaGvpfqh1Q4NZOziDnrrSf3paNrTfI-2GvAoKj6Zv3S25srryePc3p-Tjaf2-eo62r5uX1XIbGZ6lSRRbK1KNRSIkcml4KuNCLmyuDXAEIUxeMJ6IAuPMGq3z3HKRWpAJzyXj2sZT8nD27Vz7NaDv1SH81oSTKuRlschkiDolj2fKuNaHMqzqXFlrd1QM1NiQGhsaFSM7P7M_ZYXH_0G1e1vvTopfPMto9Q</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Shoja, Mina</creator><creator>Kharazmi, Omid Ali</creator><creator>Ajza Shokouhi, Mohamad</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Periodicals Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8BJ</scope><scope>8FD</scope><scope>FQK</scope><scope>JBE</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-4337-8594</orcidid></search><sort><creationdate>202311</creationdate><title>Systemic evaluation of human resources risks in the public sector</title><author>Shoja, Mina ; Kharazmi, Omid Ali ; Ajza Shokouhi, Mohamad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2974-3ff57aed458e28c2783d86fbac02e055cbd1245de39fcaabbf257f0842b812af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cause & effect diagrams</topic><topic>Human capital</topic><topic>Human resources</topic><topic>human resources risks</topic><topic>Iran</topic><topic>Mashhad</topic><topic>Municipalities</topic><topic>municipality</topic><topic>Prioritizing</topic><topic>Public sector</topic><topic>Quantitative analysis</topic><topic>Risk assessment</topic><topic>Subsystems</topic><topic>systems thinking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shoja, Mina</creatorcontrib><creatorcontrib>Kharazmi, Omid Ali</creatorcontrib><creatorcontrib>Ajza Shokouhi, Mohamad</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Systems research and behavioral science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shoja, Mina</au><au>Kharazmi, Omid Ali</au><au>Ajza Shokouhi, Mohamad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Systemic evaluation of human resources risks in the public sector</atitle><jtitle>Systems research and behavioral science</jtitle><date>2023-11</date><risdate>2023</risdate><volume>40</volume><issue>6</issue><spage>924</spage><epage>944</epage><pages>924-944</pages><issn>1092-7026</issn><eissn>1099-1743</eissn><abstract>This study tries to design a model for assessing and prioritizing human resources risks, using systems thinking and relying on the experiences of Mashhad Municipality in Iran. 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| fulltext | fulltext |
| identifier | ISSN: 1092-7026 |
| ispartof | Systems research and behavioral science, 2023-11, Vol.40 (6), p.924-944 |
| issn | 1092-7026 1099-1743 |
| language | eng |
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| source | Wiley-Blackwell Journals; Business Source Complete |
| subjects | Cause & effect diagrams Human capital Human resources human resources risks Iran Mashhad Municipalities municipality Prioritizing Public sector Quantitative analysis Risk assessment Subsystems systems thinking |
| title | Systemic evaluation of human resources risks in the public sector |
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