Economics at your fingertips  

Analysis of human resources productivity indicators with structural equations approach. Case study. Kerman executive agencies

Zohreh Mehtarizadeh ()

Operations Research and Decisions, 2023, vol. 33, issue 3, 45-58

Abstract: 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 applied developmental 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.

Keywords: human resources; productivity; individual; organizational; complementary; occupational; external; organizational factors (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.37190/ord230303

Access Statistics for this article

More articles in Operations Research and Decisions from Wroclaw University of Science and Technology, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by Adam Kasperski ().

Page updated 2023-10-28
Handle: RePEc:wut:journl:v:33:y:2023:i:3:p:45-58:id:3