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Develop a Model of the HSE Management System and Apply It in Sustainable Development Planning Based on Artificial Intelligence Based on the Grand Theory
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V* Novin *    , HR Jafari , H Hoveidi |
| Department of Environmental Education, Management & Planning, faculty of Engineering, University of Tehran, Tehran, Iran |
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Abstract: (1096 Views) |
Background & objectives: Safety, health, and environmental management systems are implemented and operationalized to provide, maintain, and promote the health of individuals, society, and the environment. Therefore, the main purpose of this study is to develop a model of the HSE management system and use it in sustainable development planning based on artificial intelligence based on data theory.
Methods: This research is applied and exploratory in terms of research purpose. Qualitative and quantitative data were collected using questionnaires and among the statistical population selected from universities, Environment Organizations, health centers, and various industries in Tehran in 1399. The data processing theory of the foundation uses open coding, axial coding, selective coding, and SPSS software, MaxQDA, to analyze data.
Results: The results of this study show that the validation of the model confirms the final model according to the method of review of participants and review of non-participating experts, and also, all Cronbach's alpha numbers and the combined reliability of latent variables are appropriate.
Conclusion: Intense to intelligent identification of consequences and risks and strategic and continuous thinking on safety, health, and environment make the multiple structures of sustainable development strong and static. The results indicate the sustainable development of simultaneous access to all components or dimensions with a systemic approach and a holistic mental perception that the individual dimensions and the relationships between them must be considered.
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| Keywords: HSE Management, Sustainable Development, Artificial Intelligence, Environment |
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Full-Text [PDF 327 kb]
(545 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2022/12/19 | Accepted: 2022/12/1 | Published: 2022/12/1
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