Innovative business models and the sharing economy in managing logistics processes

Abstract

Innovative business models and the sharing economy are becoming key drivers of transformation in modern logistics and management, enhancing efficiency, flexibility, and environmental sustainability. The primary aim of this research is to analyze key innovative business models and the principles of the sharing economy in logistics processes, assess their impact on management efficiency, and explore their adaptability to global challenges. Methods. The research employs a comprehensive approach incorporating various methods, including system analysis to identify interrelations among business model components, comparative analysis to evaluate the effectiveness of different innovative approaches, statistical analysis methods to process empirical data, content analysis of scientific publications and practical case studies, logical deduction for formulating conclusions, and theoretical generalization to determine key trends and development prospects. Results. The study identifies core models such as circular logistics, digitalized approaches, last-mile logistics, and crowdsourcing. It demonstrates that integrating digital technologies, including artificial intelligence, the Internet of Things, and big data, facilitates the optimization of logistics processes. The significant potential of the sharing economy for resource efficiency and environmental sustainability is highlighted. Key barriers have been identified, including financial costs, adaptation of business models to local markets, and consumer behavioral aspects. Conclusions. Innovative business models contribute to the creation of sustainable logistics solutions, enhancing companies' competitiveness and minimizing environmental impact. Future research could focus on comparing the effectiveness of different models and developing scaling strategies for adaptation to local and global conditions.