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Growing Science » Authors » Hossein Mohammadi

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1.

Impact of emotional intelligence and flexibility on the tendency of employees to leave the organization in project based organizations Pages 143-148 Right click to download the paper Download PDF

Authors: Hossein Mohammadi, Yousef Abbasi

DOI: 10.5267/j.jpm.2017.8.002

Keywords: Project based organization, Emotional intelligence, Flexibility

Abstract:
Sentiment is a powerful psychological force that can significantly affect employee behavior and performance. However, workplace emotions are still an issue to be studied, especially in the field of sales management in project based organizations. The purpose of this study is to investigate the effect of emotional intelligence and flexibility on the tendency of employees to leave the organization. The method of this research is descriptive correlational and in a survey method and it is a practical purpose. The statistical population of this study includes all 108 employees of the representatives of selected insurance firms in city of Zanjan, Iran. Using Cochran formula, 84 people were selected as the statistical sample. The results have indicated that while there was a positive and meaningful relationship between emotional intelligence and flexibility (r = 0.534, Sig. = 0.000), there were negative and meaningful relationships between flexibility and emotion-al intelligence on one side and intend to leave an organization on the other side.
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Journal: JPM | Year: 2017 | Volume: 2 | Issue: 4 | Views: 1904 | Reviews: 0

 
2.

Two models for the generalized assignment problem in uncertain environment Pages 623-630 Right click to download the paper Download PDF

Authors: Hamidreza Haddad, Hossein Mohammadi, Hedieh Pooladkhan

DOI: 10.5267/j.msl.2011.11.005

Keywords: Generalized assignment problem, Max-min fuzzy, Resource allocation, Simulated annealing

Abstract:
The generalized assignment problem (GAP) is a unique extended form of the Knapsack problem, which is tremendously practical in optimization fields. For instance, resource allocation, sequencing, supply chain management, etc. This paper tackles the GAP in uncertain environment in which the assignment costs and capacity of agents are fuzzy numbers. Two models are presented for this problem and a novel hybrid algorithm is offered using simulated annealing (SA) method and max-min fuzzy in order to obtain near optimal solution. Computational experiments validate the efficiency of proposed method.
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Journal: MSL | Year: 2002 | Volume: 2 | Issue: 2 | Views: 2568 | Reviews: 0

 

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