Mohsen Yaqubi; Normohammad Yaghoubi
Volume 21, Issue 3 , December 2017, , Pages 243-261
Abstract
Work engagement is a psychological state experiencing energy, absorption and dedication at work. The purpose of this study is to investigate impact of psychological empowerment and its components on work engagement. This cross sectional study was practical in terms of goal and descriptive-correlational ...
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Work engagement is a psychological state experiencing energy, absorption and dedication at work. The purpose of this study is to investigate impact of psychological empowerment and its components on work engagement. This cross sectional study was practical in terms of goal and descriptive-correlational in terms of nature. The statistical population was several public organizations in Mashhad, Iran. A simple random sampling method was applied. Krejcie and Morgan table showed that the suitable sample size is 384. Then, 420 questionnaires were distributed, led to 389 collected completed questionnaires. To measure the work engagement, Schaufeli, Bakker, and Salanova scale, and to measure psychological empowerment, Spreitzer scale were used. Using confirmatory factor analysis, the validity of measures were approved. The results of path analysis in LISREL software showed that psychological empowerment explains 73 percent of the employees' work engagement. While, competence’s effect on work engagement was not statistically significant, other components of psychological empowerment such as meaning, self-determination, and impact, had 48 percent, 33 percent and 38 percent positive and significant effect on the work engagement, respectively. Therefore, psychological empowerment is a significant predictor for work engagement. The results indicate that the organization performs interventions to increase employees' psychological empowerment. The pivot of these interventions should focused on sense of meaning for the tasks, self-determination, and impact.
mohammad nabi shahiki tash; Noor Mohammad Yaghobi
Volume 18, Issue 1 , May 2014, , Pages 101-125
Abstract
This paper, based on the stochastic frontier approach (SFA), measures the technical efficiency (TE) of Iranian manufacturing industries under the estimation of Translog production function used by the maximum likelihood technique. The findings indicated that out of 140 evaluated industries in this study, ...
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This paper, based on the stochastic frontier approach (SFA), measures the technical efficiency (TE) of Iranian manufacturing industries under the estimation of Translog production function used by the maximum likelihood technique. The findings indicated that out of 140 evaluated industries in this study, 5 industries including the refined primary copper products, cleaning and grading, packing pistachios, manufacture of motor vehicles, manufacture of plastics in primary forms and manufacture of plastics in primary forms, and of synthetic rubber have had the highest efficiency in 2009. The results also demonstrated that 4 industries; manufacture of food and beverages, manufacture of tobacco, manufacture of plastic except the footwear, and finally, Manufacture of lifting and handling equipment have experienced the greatest change for efficiency during the period 1995-2009 among the industries.
