Arjun Rachana Harish, Xinlai Liu, Ming Li, Ray Y. Zhong, George Q. Huang
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引用次数: 0
Abstract
It is well known that supply chains should leverage information sharing from stakeholders as a measure to drive business growth. However, the practice of information sharing for supply chain management has been fairly limited due to the high cost of meeting differential user needs, information-island from centralized storage, and inefficient information value capture. To address these concerns, we investigate a crypto-valuation mechanism of digital assets (DAs) inspired by a standard monopolistic screening model. Our model consists of a DAs provider with a unique cost structure of sharing DAs and users who experience participation costs. The DAs are digital replicas of physical assets (e.g., workforce, trucks, and cargo) in the supply chain. The provider produces DAs with maximum features (e.g., carbon emission, customer satisfaction, etc.) to give users differential feature access for set valuations (crypto-token payment). When the consumers experience participation costs, we find that the marginal sharing and participation costs determine the optimality of DAs versioning. By endogenizing the highest quality (or level of digitization), we find that an increase in the cost of delivering DAs results in every user getting access to fewer features. Interestingly, cost factors do not directly influence user coverage, i.e., costs do not determine who gets access to DAs. However, the provider’s decision to absorb a portion of user participation cost can contract the user coverage. Overall, this study contributes a novel valuation mechanism to the literature on blockchain adoption for information sharing in the supply chain. It also offers insights and recommendations based on critical parameters to guide supply chains that leverage the mechanism for business growth.
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.