Samireh Kadaei, Sama Jafari, Emaad Jeyzanibrahimzade, Masoud Ebrahimpour Taher, Mahsa Hashemi, Perisu Akar, Umit Akar
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引用次数: 0
Abstract
This study presents a holistic level of sustainability in the context of green architecture supply chains by integrating GSCM and GHRM through an integrated decision-making framework. The study applies a hybrid approach of neutrosophic fuzzy TOPSIS and fault tree analysis (FTA) with data mining to identify and rank critical barriers relating to sustainability, including insufficient government funding and technology challenges. This model offers practical recommendations for policymakers and practitioners aiming to improve green architecture considering GSCM and GHRM on supply chains. The analysis underscores the need for enhanced targeted policies and engagement from various stakeholders and the integration of digital technologies to strengthen sustainability efforts in the industry.
期刊介绍：
Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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