Selecting the Effectiveness Strategic Capability for Sustainable Development under Risk and Uncertainty in the Oil Industry: Rough Set Theory

سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 201

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تاریخ نمایه سازی: 3 آذر 1400

چکیده مقاله:

The purpose of this research is selecting the Most Effective Strategic Capability for Sustainable Development under Risk and Uncertainty in the Oil Industry by Rough Set Theory. The research methodology is qualitative and quantitative. The target population in the qualitative section included ۱۴ industrial management specialists at the university level and in the quantitative section ۳۲ senior managers in companies active in the Oil Industry. In this research, were used Meta-synthesis and Delphi analysis methods were used to identify the components and propositions of the research and in a small part, the analytical approaches of Ruff collection. The results showed that among the ۱۵ final statements of risk and uncertainty in the Oil Industry, the risk of change in domestic law relative to political / economic diplomacy in the development of infrastructure for the Oil Industry X۵ as the most important risk statement and uncertainty in the field. Political and legal risks that have been identified as a measure of the strategic viability of sustainable development. Finally, it was found that, despite the most probable risks selected in this study, namely the risk of changes in domestic law to political / economic diplomacy in the development of infrastructure of the Oil Industry "X۵" Existence of sanctions of the world powers "X۱" Strategic capabilities of sustainable economic development is the most important feature that should be considered in the country's inflationary conditions.

کلیدواژه ها:

Strategic Capability for Sustainable Development ، Risk and Uncertainty ، Rough Set Theory


Mohammad Somali

PhD Student, Department of Management, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran

Saber Molaalizadeh Zavardehi

Assistant Professor, Department of Industrial Engineering, Islamic Azad University, Masjed-Soleiman Branch, Masjed-Soleiman, Iran

Ali Mahmoodirad

Associate Professor, Department of Mathematics, Masjed-Soleiman, Branch, Islamic Azad University, Masjed-Soleiman, Iran

Sayeed Ghane

Assistant Professor, Department of Management, Islamic Azad University, Masjed-Soleiman, Branch, Masjed-Soleiman, Iran

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