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1- Agricultural Extension & education
2- Department of Agricultural Extension & Education , alambaigi@ut.ac.ir
3- Agricultural Extension
Abstract:   (79 Views)
The present research was conducted with the aim of identifying the subjective patterns of managers and experts of Iranian Fisheries Organization regarding organizational transformation. The research was carried out with the participation of a number of managers and experts of the Fisheries Organization who were selected by a purposeful sampling approach. The main research method for collecting required data was in-depth interview. After reviewing and summarizing 75 statements extracted from the interviews, 42 statements were finally selected as Q samples. After sorting Q statements, exploratory factor analysis and varimax rotation approach were employed to identify subjective patterns. The results revealed that five different subjective patterns can be identified among the managers and experts of the Iranian Fisheries Organization regarding the organizational transformation, which explained 72.87% of the total variance in the factor analysis model. The results of factor analysis indicated that the subjective patterns identified included participatory policies, capacity development and change management, appropriate organizational structures, incentives for change, and clarification of financial and administrative affairs. In the end, based on the results, with the interpretation of each of these subjective patterns, some practical recommendations were presented which can be used by program planners, policy-makers, and managers of the fisheries organization, so that they can use the findings of this research to establish an information system. In addition, the results of present study can facilitate the organizational transformation and ultimately increase the success and responsiveness of the fisheries organization.
 
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Article Type: Original Research | Subject: Agricultural Extension and Education/Rural Development
Received: 2022/09/24 | Accepted: 2023/09/25 | Published: 2024/03/31

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.