Designing and Explaining the Organizational Intelligent Model with a Mixed Qualitative and Quantitative Approach

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The aim of this research was to design and explain the organizational Intelligent model in Iranian production cooperatives. Based on its objective, this is an applied research while it is a mixed (Qualitative-quantitative) research in terms of the nature of its data. In this Regard, the aspects, components and indexes of the model in the qualitative section by interviewing 15 experts in order to confirm the theoretical sufficiency in a data-based method. Then, in a quantitative part and in a statistical outfit of 8361 people, including employees and managers of production cooperatives across the country, based on Cochran's formula, 350 people were selected by random- stratified sampling method based on the provincial cooperatives office to explain the model. The model was identified based on the aspects of intelligence empowers (causal factors), capabilities of organizational strategies (phenomenon-orientation), intelligence development context (backgrounds), intelligence governance (interventional), intelligence strategies (strategies), intelligence performance (consequences), along with 24 components. Then the relationship between the mentioned components were determined using Interpretive Structural Modelling method to design the model. The designed model was tested and explained by structural equation modelling method. Findings of the SEM shows that ther Dimension "Intelligent Development contexts" on "Intelligent enablers", "Intelligent enablers" on "Organizational Intelligence Capabilities", "Organizational Intelligence Capabilities", on "Intelligent Strategies", and "Intelligent Strategies" on "intelligence performance" has a significant and positive effect. The results indicate that a higher level of intelligent contexts and enablers can improve the performance of production cooperatives and highlight the importance of strategies.

Language:
Persian
Published:
Co - Operation and Agriculture, Volume:10 Issue: 40, 2022
Pages:
138 to 162
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