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Identification and prioritize effective factors on enhancement of employees' participation in suggestions system using AHP technique

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Author(s): S. Khayat Moghadam | M. Taheri Lari | M. Toroghian | A. Hakimzadeh

Journal: Journal of Soft Computing and Applications
ISSN 2195-576X

Volume: 2013;
Start page: 1;
Date: 2013;
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Keywords: Suggestions System | AHP Techniques | Team Expert Choice11 Software"/>

ABSTRACT
This paper seeks to identify the effective factors on enhancement of employees' participation of central bank of Iran in suggestions system as well as rating these factors based on analytical hierarchy process (AHP) technique. The statistical population consists of experts of Economic and Statistic office of central bank. The means of gathering data is a questionnaire. Also, the statistical method in analysis of descriptive data and software us Team expert choice 11. After selecting a 103 population size based on Cochran's formula, the obtained results showed that the three effective factors on increase of employees' participation in suggestions system are 1) Background factors, 2) Input factors and 3) Process factors respectively.
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