The new supply chain information sharing Renaissance through crypto valuation mechanism of digital assets

IF 8.3 1区 工程技术 Q1 ECONOMICS
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.
通过数字资产的加密估值机制实现新的供应链信息共享复兴
众所周知,供应链应该利用利益相关者之间的信息共享来推动业务增长。然而,由于满足不同用户需求的高成本、集中存储带来的信息孤岛以及低效的信息价值获取,供应链管理的信息共享实践受到了相当大的限制。为了解决这些问题,我们研究了一种受标准垄断筛选模型启发的数字资产(DAs)的加密估值机制。我们的模型由具有独特的共享DAs成本结构的DAs提供商和体验参与成本的用户组成。da是供应链中物理资产(例如劳动力、卡车和货物)的数字复制品。提供商生产具有最大功能(例如,碳排放,客户满意度等)的da,为用户提供设置估值(加密代币支付)的不同功能访问。当消费者经历参与成本时,我们发现边际共享和参与成本决定了DAs版本控制的最优性。通过内部化最高质量(或数字化水平),我们发现交付DAs的成本增加会导致每个用户访问更少的功能。有趣的是,成本因素并不直接影响用户覆盖范围,也就是说,成本并不决定谁可以访问DAs。但是,提供商承担部分用户参与成本的决定可能会缩小用户覆盖范围。总体而言,本研究为供应链信息共享采用区块链的文献提供了一种新的评估机制。它还提供了基于关键参数的见解和建议,以指导利用该机制促进业务增长的供应链。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
16.20
自引率
16.00%
发文量
285
审稿时长
62 days
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.
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