Mechanisms for the Development of Human Resources in Khouzestan Sugarcane Agro Industrial Company
الموضوعات :Neda Nasir pour 1 , Azadeh N. Noorivandi 2
1 - Graduate Student Agricultural Management, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran
2 - Assistant Professor Agricultural Management, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran
الکلمات المفتاحية: Human Resources, Factors analysis, Mechanisms, Sugarcane agro industrial company,
ملخص المقالة :
The purpose of this research was identifying mechanisms for the development of human resources in Khouzestan sugarcane agro industrial company, Iran. This is an applied study and the research method was descriptive correlative. The population consisted of employees working in the sugarcane agro industrial company in the province of Khuzestan, Iran(N=315). One hundred and seventy five people were selected as a sample size by using Krejcie and Morgan table. The questionnaire was pre-tested among 30 people and Cronbach alpha between 0.837-0.978 was determined. The main tool was a questionnaire. In this study, after the collection and classification of data, according to the type of research in two stages using descriptive statistics and inferential statistics were taken. All data processing and statistical analysis was performed using the software SPSS20. For analysis data, correlative coefficients and factor analysis were used. Based on the results of factor analysis the factors were categorized into three main components, which have been named social and professional factors, educational and infrastructural factor, information and participation factor. The obtained results from the factor analysis revealed that the three mentioned factors explained 74.599% of the variation of mechanisms for the development of human resources in Khouzestan sugar cane agro-industry. The first group which is labeled social and professional factor had the most eigen value (7.513). Also, this factor explained 30.054% of the total variances of the variables. The second group, labeled educational and infrastructural factor, with eigen value 7.475 explained 29.9% of the total variances of the variables.
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