Naji Raufi Maram
PhD Student, Department of Public Administration, Shushtar Branch, Islamic Azad University, Shushtar, Iran.
Ghanbar Amirnejad
Associate Professor, Department of Public Administration, South Tehran Branch, Islamic Azad University, Tehran
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Naji Raufi Maram
PhD Student, Department of Public Administration, Shushtar Branch, Islamic Azad University, Shushtar, Iran.
Ghanbar Amirnejad
Associate Professor, Department of Public Administration, South Tehran Branch, Islamic Azad University, Tehran, Iran (Corresponding Author).Email: gh.amirnejad@iaushoshtar.ac.ir
Fouad Makoundi Assistant Professor, Department of Public Administration, Shushtar Branch, Islamic Azad University, Shushtar, Iran.
Vahid Chenari Assistant Professor, Department of Public Administration, Shushtar Branch, Islamic Azad University, Shushtar, Iran
The purpose of this study was to design and explain the optimal social responsibility model of the Iranian Ports Organization with a sustainable development approach. The present study is applied research in terms of purpose and a mixed research method in terms of method. Data analysis method in the qualitative part of the research, according to the goals and questions of the research, the data theorizing method of the foundation has been used. The method of data collection in the qualitative part is often interview. The statistical population in the qualitative stage included academic experts and managers with higher education and full familiarity with social responsibility, and ten people were selected as a sample. Sampling continues until the exploration process reaches a theoretical saturation point. The statistical population of the research in a quantitative stage, included all employees of the Ports and Maritime Organization. 166 people were selected from all employees by stratified random sampling based on organizational category. To collect data in a small part, a researcher-made questionnaire with 72 items was used and to analyze the data, descriptive statistics and inferential statistics based on partial least squares method and SMART PLS software were used. Open, axial and selective triple coding led to the formation of 150 abstract concept codes and 22 general categories. Based on the results obtained from the final model, intervening factors have a negative and significant effect on strategies; While the effect of causal conditions on strategies has been positive and significant. Also, background conditions have a positive and significant effect on strategies and also strategies have a positive and significant effect on outcomes.
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