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Factors affecting motivation of employees in public sector in Erbil, Iraq an application of binary logistic regression

Author

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  • Amir Khaleel Hassoo

    (Department of statistics, Soran University Author-Name : Cuma Akbay
    Department of Bioengineering and Sciences, Kahramanmaras, Turkey)

Abstract

Motivation is a general term that refers to the needs, demands, desires, or individual's internal forces. The main objective of this study is to investigate the factors affecting job satisfaction and motivation of employees in the public sector in Erbil- Iraq. To achieve this purpose, the researcher was required to get the questionnaire filled from employees working at different organizations. Data were obtained from randomly 250 employees working at different organizations and the questionnaire was distributed in 2019. A questionnaire was designed and used to record information based on a 3-point Liker scale. Descriptive statistics and Binary Logistic regression by using SPSS program analysis used. The results indicated that some factors such as "education", "job status", "training and development", "justice" and "job security" have an impact on motivating employees.

Suggested Citation

  • Amir Khaleel Hassoo, 2020. "Factors affecting motivation of employees in public sector in Erbil, Iraq an application of binary logistic regression," Technium Social Sciences Journal, Technium Science, vol. 7(1), pages 321-329, May.
    • Handle: RePEc:tec:journl:v:7:y:2020:i:1:p:321-329
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    File URL: https://techniumscience.com/index.php/socialsciences/article/view/391/172
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    File URL: https://techniumscience.com/index.php/socialsciences/article/view/391/172
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    Cited by:

    1. Martina Blašková & Dominika Tumová & Rudolf Blaško & Justyna Majchrzak-Lepczyk, 2021. "Spirals of Sustainable Academic Motivation, Creativity, and Trust of Higher Education Staff," Sustainability, MDPI, vol. 13(13), pages 1-25, June.

    More about this item

    Keywords

    Employee; motivation; Public Sector; Logistic Regression; Erbil; Iraq;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

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