Designing a model for nurturing enthusiastic employees in Iran's public sector

The aim of this study was to design a model to nurture enthusiastic employees in the Iranian public sector.

The research method included meta-synthesis, survey and fuzzy expert system. Corpus of the study in meta-synthesis was 158 academic papers. In the survey, the statistical population was 1039 employees from West Azerbaijan province's three general directorates and in mathematical modeling, the population included 20 employees. Sampling in meta-synthesis was conducted by selecting 65 articles from among 158 papers published in prestigious Iranian and foreign English journals between years 2010 and 2016; in survey method selecting 60 subjects from among all employees and in mathematical modeling selecting 20 employees to complement the research tool. To determine the scale validity, exploratory and confirmatory factor analyses were conducted and the convergent validity was calculated via computing correlations through a 56-item questionnaire approved by experts in the spring of 2017. In order to determine internal reliability, Cronbach's alpha coefficient and retest reliability coefficient were calculated and after eliminating six incomplete questionnaires and three missing data, 281 subjects were analyzed. Findings: Results revealed that total path coefficient between Iranian-Islamic culture and psychological moods (β=0.375, P=0.001), and the indirect path coefficient between components of job conditions (β=0.125, P=0.001), personal (β=0.134, P=0.01) and organizational conditions (β=0.231, P=0.002) were positive and significant with employees' enthusiasm variable.

Since the target population, confirmed the dimensions, components and indices extracted from meta-synthesis, considering indices with higher factor weight in employees’ enthusiasm, could expand their psychological capacities.