Decentralized autonomous organizations in e-commerce supply chains: A bayesian method to barrier identification and interrelationship mapping

Decentralized Autonomous Organizations (DAO) hold significant promise for enhancing transparency, efficiency, and collaborative synergy among stakeholders in e-commerce supply chain ecosystems. However, integrating DAO into these supply chains presents substantial challenges due to a variety of complex barriers. This study conducts an empirical analysis to identify and evaluate these barriers using the Bayesian Best-Worst Method-Adversarial Interpretive Structural Modeling (BBWM-AISM) framework. The findings reveal that contract law, governance models, decision-making processes, trust, and ethics are foundational barriers. Additionally, scalability and legal status are highlighted as critical barriers requiring immediate attention. The study provides targeted technical recommendations to help stakeholders understand the strategic potential of DAO and facilitate their integration and operational deployment in e-commerce supply chains.