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specialty journal of knowledge management
Volume 4, 2019, Issue 1
Identifying the Dimensions, Components and Indicators of Productivity in Complex Organizations of Ilam Province
Hossein Safarbeygi
Pages: 1-20

Abstract

The main goal of the research is to identify the dimensions, components and indicators of productivity in complex organizations of Ilam province. In this research, the statistical population includes all the high, middle and elite managers of the complex organizations in Ilam province. Due to the limited statistical population, 70 of them were selected as samples. This research is applied based on the purpose, and is descriptive from the viewpoint of the method of collecting the information. A researcher-made questionnaire was used to collect data which has the validity and the Cronbach's alpha coefficient was used to determine the reliability. Cronbach's alpha coefficient was calculated to be 0.87 for the questionnaire, which is statistically acceptable and indicates the reliability of the questionnaire. SPSS software version 22 and Liserl software version 8.5 have been used to test the hypotheses in this study. The statistical methods used in this study are structural equations. The results show that effectiveness and efficiency are two important measures of productivity measurement. The component of improvement measure and promotion of society with an importance coefficient of 24% of the total is the first priority and the component of measuring the unwanted and negative results from the delivery of the organization's services with an importance coefficient of 15% of the total is the fifth priority among the components of effectiveness. Minor efficiency measurement component with an importance coefficient of 54% is the first priority and general efficiency measurement component with an importance coefficient of 45% of total is the second priority among the efficiency components.



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specialty journal of knowledge management
Issue 1, Volume 5, 2020