Designing and Validating the Model for Job Requirements and Job Resources Affecting Employees' Job Engagement

الموضوعات : مجله بین المللی علوم اجتماعی

Leila Gilani ¹ , Nader Bohlooli ² , Mojtaba Ramazani ³ , Ahmad Vedadi ⁴

1 - Ph.D. Student in Public Administration, Department of Public Administration, Bonab Branch, Islamic Azad University, Bonab, Iran
2 - Assistant Professor, Department of Public Administration, Bonab Branch, Islamic Azad University, Bonab, Iran
3 - Assistant Professor, Department of Public Administration, Bonab Branch, Islamic Azad University, Bonab, Iran
4 - Associate Professor, Department of Public Administration, Central Tehran Branch, Islamic Azad University, Tehran, Iran

تاريخ الإرسال : 06 السبت , ربيع الثاني, 1445 تاريخ التأكيد : 06 السبت , ربيع الثاني, 1445 تاريخ الإصدار : 16 الجمعة , صفر, 1445

الکلمات المفتاحية: Job Requirements, Job Resources, Job engagement, Themes Analysis, Confirmatory Factor Analysis,

ملخص المقالة :

The purpose of this research is to designing and validating the model of job requirements and job resources that affect employees' job engagement. The research is of mixed exploratory type (qualitative and quantitative). To collect qualitative data, thematic analysis method and semi-structured interview (with 17 experts using purposive sampling method) were used, and to collect data in the quantitative part, a researcher-made questionnaire titled (Importance of items) was used. The statistical population includes all 200 employees of the cinema and audio-visual organization in Iran. In the quantitative section, 127 people were randomly selected as a sample using Morgan's sampling table. The validity of the questionnaires was measured through face validity and confirmatory factor analysis. Thematic analysis method was used to analyze qualitative data, and confirmatory factor analysis and Lisrel software were used to validate the qualitative model Based on the qualitative results of the research, 7 main components were identified and the theme network model was drawn. The results of the quantitative analysis have also confirmed the significance of the relationship between the indicators, components and dimensions of the model.