Sustainable Management in the Age of Instability: An Approach Based on the Nonlinear Impact Weighted Scale System Method and the Fuzzy Best-Worst Method
Subject Areas : Environmental management and sustainability
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Keywords: Islamic management, sustainability, multi-criteria decision-making methods, best-worst method, weighted nonlinear impact scale system method,
Abstract :
In today's turbulent and dynamic world, the concept of sustainable management is emerging as an undeniable necessity for organizations and their leaders. The era of instability, with challenges such as rapid technological changes, market fluctuations, and socio-economic complexities, requires a new approach to management. This article examines the concept of sustainable management in industry and emphasizes the importance of creating stability and stability in changing environments. By combining Islamic principles and modern management approaches, this article attempts to provide solutions to face the challenges of certainty and instability. Sustainable industry, as a new approach in the field of business, emphasizes the importance of balancing economic growth and environmental protection. Management in this industry is challenging because it requires combining business strategies with the principles of sustainability and social responsibility. In this article, we examine the vital role of management in sustainable industry and solutions for achieving success in this area. In sustainable industry management, separating variables into static and dynamic can greatly help to better understand the complexities of this area. Therefore, in this study, an applied approach to evaluating and ranking sustainable variables by combining the principles of Islamic and modern management approaches in the industry. The proposed approach uses a combination of the best-worst fuzzy method and the weighted nonlinear impact scale system to compare the weights of the criteria. For this purpose, first the weights of the criteria are calculated using the best-worst fuzzy method and then the internal dependence between the criteria is determined by the WINGS method. Finally, the performance of each variable is evaluated for each criterion and the final score of the variables is calculated. This approach is suitable for calculating the weights of criteria that have a hierarchical structure and are intertwined.
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