نوع مقاله : پژوهشی
تازه های تحقیق
عنوان مقاله English
نویسندگان English
In today's world, with the rapid increase in innovations, environmental complexities, and high levels of uncertainty in organizations and societies, traditional leadership approaches are no longer adequate for contemporary challenges, and new concepts such as "sustainable leadership" are developing. This approach focuses on balancing economic, social, and environmental dimensions, with the goal of enhancing resilience, responsibility, and sustainable development. In this study, the innovative method of polar coordinate distance based on lost opportunities in the field of multi-criteria decision-making has been examined for analyzing and evaluating eighteen of the best commercial companies under uncertainty conditions. The advantages of this technique, while possessing a strong logic of lost opportunities and its validation compared to other techniques, include the ability to easily evaluate and rank options. The results show that Company A2, with the lowest lost opportunity value (DOL = 0.0199), ranks first, and Company A11, with the highest lost opportunity (DOL = 0.0808), ranks last in terms of sustainable leadership. Additionally, criteria such as sustainable profitability, occupational health and safety, and waste management, with the lowest lost opportunities and highest performance, rank at the top for evaluating company managers and their sustainable performance, while criteria like market competitiveness and natural resource conservation require strategic reforms and performance improvements. This technique, by combining lost opportunities and using the polar distance approach, provides a unique perspective in evaluation and ranking; such that a smaller distance indicates fewer lost opportunities. This makes understanding and comparing options easier for decision-makers and managers, leading to more precise and effective decision-making in various fields.
کلیدواژهها English
Copyright © Azadeh Ashrafi, Hossein Sheikh, Ali Avar
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This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.