Pathology
mohsen sadr; Akbar Etebariyan; Reza Ebrahimzadeh; Marziyeh Piravi vanak
Abstract
Objective: The purpose of this paper was to identify and categorize cultural organizations according to the viewpoint of organizational population ecology. Methods: The exploratory mixed method based on repertory grid approach has been used. All isfahanian cultural experts were been considered as Statistical ...
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Objective: The purpose of this paper was to identify and categorize cultural organizations according to the viewpoint of organizational population ecology. Methods: The exploratory mixed method based on repertory grid approach has been used. All isfahanian cultural experts were been considered as Statistical population that were been sampled in two stage (qualitative and quantitative). the data gathering method in qualitative phase was interview and in quantitative phase by compilation the questionnaire, elements (organizations) were been scored based on the Likert spectrum and the necessary data were collected and idio-grid software was used for data analysis. The fitting indices such as Cronbach's alpha index (0.78 for constructs and 0.73 for elements), Bieri index(0.36), Fransella index(0.38) were calculated, which showed reliability and validity of repertory grid process based on the method. Findings: in the qualitative phase, 19 constructs have been investigated and in the quantitative phase 11 constructs in 3 dimensions(as named: survival and relationship, isomorphy and cultural originality) determining 76.87% of total variation were categorized and were used as typology basis . Conclusion: Finally, researchers based on the final constructs shaped the two-dimensional diagram and categorizes four different types of cultural organizations with their specific characteristics. Originality and Innovation: The present research has originality and innovation in three aspects, the ecological approach of organizational population and the new method was used in typology and Quantifying the experts' mind map based on accurate statistical approaches.
