Uncovering Blockchain Adoption Barriers in the Automotive Industry: A Comparative Study of Electric and Traditional Vehicle Manufacturers
研究了汽车行业区块链整合的关键成功因素，使用PESTLE、AHP、TOPSIS等方法，发现技能可用性和教育意识是核心，并比较了电动汽车与传统制造商的差异。
Blockchain technology, renowned for its transformative potential in ensuring secure and transparent transactions, plays a crucial role in enhancing efficiency and transparency within the automotive supply chain. This research delves into essential success factors for blockchain integration, employing methodologies like the PESTLE framework, Analytic Hierarchy Process (AHP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). A comprehensive total interpretive structural modeling (TISM) framework uncovers intricate relationships among factors, while Matriced'Impacts Croises Multiplication Appliquéa un Classement (MICMAC) analysis reveals driving and dependence powers. The industry's movement towards ethical and environmentally conscious practices is evident, though legal, environmental, and technological barriers persist. ‘Availability of Blockchain Skill Set’ and ‘Education and Awareness’ emerge as central factors, emphasizing the symbiotic relationship between a skilled workforce and industry-wide awareness. These factors form the foundation for overcoming barriers, paving the way for seamless blockchain integration in the automotive supply chain. Additionally, a comparative analysis between Electric Vehicle (EV) and traditional automobile manufacturers highlights distinctive priorities, with EV manufacturers focusing on long-term sustainability and transparent supply chains, while traditional automakers strategically approach blockchain adoption, emphasizing education, secure smart contracts, and overcoming adoption challenges.