Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology

Abstract

Governments, institutions, and organizations focused on renewable and green energy problems have provided significant support and incentives for project development in recent years. Green transformation is fostered through environmentally friendly and clean energy practices, which are the key to a sustainable future for the entire world, and governments and enterprises shape their business and transactions within this framework. However, there are various challenges and obstacles in green energy applications, both in businesses and in government policies. The study, which focuses on green energy problems, seeks to connect energy with sustainable business strategies. Furthermore, because businesses are often concerned with social and environmental implications, it is believed that implementing a sustainable energy strategy will give long-term benefits to businesses. In this regard, this study aims to identify green energy problems in logistics companies and to select the best sustainable strategy. The hybrid T-spherical fuzzy (T-SF) methodology is introduced to solve the problem, including T–SF–subjective weighting, T–SF–criteria importance through intercriteria correlation (CRITIC), subjective and objective weight integrated approach (SOWIA), and T–SF–additive ratio assessment system (ARAS). According to the results, the most important green energy factor in logistics companies is determined as “energy security”. The best sustainable strategy is identified as the “socially beneficial services supply strategy”. The relevant results are critical for guiding companies, users, and stakeholders.