Forecasting Change Based on Employees’ Work Engagement: Case Study (Civil Servants in Government Organizations in Sanandaj)

E'temad, Khaled; Rahmanseresht, Hossein

doi:10.18052/www.scipress.com/ILSHS.64.119

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Forecasting Change Based on Employees’ Work Engagement: Case Study (Civil Servants in Government Organizations in Sanandaj)

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Abstract:

The study tries to identify predictors of change acceptance based on work engagement of civil servants in government organizations in Sanandaj. The population of the study is 4235 civil servants in government organizations in Sanandaj. The present study uses stratified random sampling method. Using Cochran’s Formula, as many as 352 people were set as the sample size and the same number of questionnaires was filled by the participants. The study was descriptive co relational and was carried out through a descriptive method. A questionnaire was used for data collection to measure the level of work engagement, the questionnaire proposed by Schaufeli and Becker (2003) was used. To measure change acceptance in the respondents, the questionnaire proposed by Saeatchi, Kamkari and Askarian (2010) was designed according to the model by Kurt Lewin. After the validity and reliability of the questionnaires were confirmed, the questionnaires were distributed among the participants. Cronbach's alpha in work engagement and in change acceptance questionnaires were 0.84 and 0.82, respectively. After completing the questionnaire using SPSS20, Pearson correlation analysis and multivariate regression analysis were calculated and analyzed. The results of regression analysis showed that the dependent variable (change acceptance) was directly affected by liveliness and eagerness of the staff. This variable alone explains 44% of acceptance of change variance in this study. The independent variable is directly affected by eagerness variable. This variable alone accounts for 39% of accepting change variance in the population under study. The third determinant of accepting change is the employees’ dedication variable. This variable alone amounts to 31% of change acceptance variance by staff in the population under study.

Info:

Periodical:

International Letters of Social and Humanistic Sciences (Volume 64)

Pages:

119-125

DOI:

https://doi.org/10.18052/www.scipress.com/ILSHS.64.119

Citation:

K. E'temad and H. Rahmanseresht, "Forecasting Change Based on Employees’ Work Engagement: Case Study (Civil Servants in Government Organizations in Sanandaj)", International Letters of Social and Humanistic Sciences, Vol. 64, pp. 119-125, 2015

Online since:

November 2015

Authors:

Khaled E'temad, Hossein Rahmanseresht

Keywords:

Change Acceptance, Government Agencies in Sanandaj, Work Engagement

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Open Access

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Creative Commons Attribution 4.0 International License

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