Analysis of human resources productivity indicators with structural equations approach : case study : Kerman executive agencies

• Autorzy: Mehtarizadeh Zohreh

Identyfikatory

DOI

10.37190/ord230303

• Języki publikacji: EN

Abstrakty

EN

This study aims to explain the indicators of human resource productivity management in Kerman executive agencies. It is a descriptive, correlational as well as a developmental study purposefully conducted as a survey in the field of human resources. The sample includes 30 experts in the field of management and administration. It was obtained by purposeful sampling method and included 524 employees of the Kerman executive agencies that were gathered by stratified sampling method. Two questionnaires were used by the experts to confirm the validity and reliability of the model and one questionnaire was used to answer the questions. The validity and reliability of all questionnaires were confirmed. AMOS and SPSS statistical software were used for data analysis. The 42 subscales of human resource productivity management are summarized in 5 factors (individual, organizational, complementary organizational, occupational, and extra-organizational). It is an applieddevelopmental study considering the simultaneous identification of factors related to human resource productivity in line with the development indicators and can be used by all executive agencies throughout Iran.

Słowa kluczowe

EN

human resources; productivity, individual; organizational; complementary; occupational, external; organizational factors

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2023
• Tom: Vol. 33, No. 3
• Strony: 45--58
• Opis fizyczny: Bibliogr. 32 poz., rys.

Twórcy

autor

Mehtarizadeh Zohreh

• 1Department of Public Management, Adaptive and Development, Kerman Branch, Islamic Azad University, Kerman, Iran

• https://orcid.org/0000-0001-8983-2556

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).