|
Providing a model for investigating and evaluating the level of social responsibility of the South Oilfields Company using the fuzzy interpretive structural modeling method.
|
Amir Farokhnejad1   , Mohamad Hosein Kabgani2 |
1- Assisstant prfossor of Persian Gulf Institute, Persian Gulf University, Boushehr, Iran. , farokhnejad@pgu.ac.ir
2- Assisstant prfossor of Industerial Management Department, Faculty of Business and Economics, Persian Gulf University, Boushehr, Iran |
|
|
Abstract: (3 Views) |
| This study aims to systematically review previous research in the field of social responsibility, as well as identify key elements and present a structural model to measure and evaluate social responsibility in the Bushehr Oilfields Company. Social responsibility is a phenomenon whereby companies voluntarily include social and environmental issues in their economic activities and interact with stakeholders. As a result of the increased awareness and concern of society, the media, international organizations and governments, the meaning and approach to social responsibility have changed significantly. By studying the relevant literature and using the text content analysis approach, six basic indicators were identified, and the Delphi technique was used in three rounds to localize them in order to evaluate and measure social responsibility in the Southern Oilfields Company of Bushehr Province. The statistical population of the study consisted of managers and experts familiar with the subject and working in the oil and gas field. A researcher-made questionnaire was used to collect data, the validity and reliability of which were also confirmed. To design a structural model of effective indicators for assessing and measuring social responsibility, the interpretive structural modeling approach in a fuzzy environment was used to manage linguistic ambiguities in judgments. Based on structural modeling and the Mi’kmaq diagram, no indicator was found in the autonomous region. In the dependent region, the humanitarian and ethical responsibilities index, the environmental responsibilities index are in the linked region, and the local community employment index, the health of the region’s residents, and the welfare and social development index are in the independent region. These indicators are key and have an impact on other indicators. In this region, the local community employment index is the most important indicator, and the two health indicators of the region’s residents have high influence and medium dependence, and the welfare and social development index have medium dependence and influence. |
|
| Keywords: Social responsibility, oil-rich regions, structural modeling, Delphi technique, fuzzy. |
|
|
Full-Text [PDF 1627 kb]
(2 Downloads)
|
Type of Study: Research |
Subject:
Management
Received: 2026/08/16 | Accepted: 2026/08/1 | Published: 2026/08/1
|
|
|
|
|
|
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
