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Human resource strategies with combined BSC approach and fuzzy logic in small and mediocre industries of Khuzestan province

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Author: 
Kamran Yeganegi, Ziba Tajdani and Mohsen Nasab, M. H.
Abstract: 

In this paper, human resources strategies are examined with the combination of BSC and fuzzy logic in the small and mediocre industries of Khuzestan province. The statistical population in the qualitative section includes experts (managers with 10 years’ experience of management) and a small number of managers and deputies of small and medium sized companies in Ahwaz. By Using Cochran's formula, 384 people were selected as a statistical sample and they were selected randomly. The data gathering tool was a researcher-made questionnaire whose content validity was verified and reviewed by five experts and professors. The reliability of the questionnaire was also evaluated by Cronbach's alpha test, which shows that the alpha coefficient is more than 0.7, so the questionnaire has an appropriate reliability. Data analysis was done in the qualitative section by using the theme analysis method. Also, in the quantitative part, the data of the research was analyzed by using SWOT analysis and fuzzy logic method. In this research, weaknesses and strengths were identified and analyzed in Khuzestan Province for small and medium-sized industries. Identified components and indicators were ranked based on their significance and their role in the development of industries in the province and by the fuzzy method they were ranked. Finally, the suggestions are presented based on the results of the data analysis.

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