Information Strategies in the Electric Vehicles Battery Reverse Supply Chain with Blockchain Technology [Research Brief]

Shi, Tianqin; Huang, Yanting

i

Information Strategies in the Electric Vehicles Battery Reverse Supply Chain with Blockchain Technology [Research Brief]

2025-11-01
By Shi, Tianqin ; Huang, Yanting

File Language:

English

Details

Creators:

Shi, Tianqin ; Huang, Yanting
Corporate Creators:

San Jose State University. College of Business. Mineta Transportation Institute
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; California. Department of Transportation
Subject/TRT Terms:

Blockchains Cost Effectiveness Decision Making Ecosystems Electric Vehicles Information Technology Quantitative Analysis Recycling Strategic Planning Supply Chain Management Transportation
Resource Type:

Brief
Geographical Coverage:

United States
Edition:

Research Brief
Corporate Publisher:

San Jose State University. College of Business. Mineta Transportation Institute
Abstract:

This study used a mixed-methods approach, combining qualitative and quantitative research techniques. First, the research team conducted semi structured interviews with six experts from EV and EV battery manufacturing companies in the United States and China. These interviews aimed to gather in-depth insights into the challenges faced in the current EV battery recycling processes, the impact of unregulated recyclers, and the potential benefits and barriers to implementing blockchain technology. Second, the team developed a model based on the Stackelberg game theory that was then used to analyze the strategic interactions among different stakeholders in the EV battery supply chain. The model includes a manufacturer, a retailer, a regulated recycler, and an unregulated recycler. It compares scenarios with and without blockchain adoption to assess its impact on recycling quantities, prices, and profits. The model uses mathematical equations to represent the decision-making processes of each stakeholder and to derive equilibrium (a state where supply and demand in a market are balanced) outcomes.
Format:

PDF
Funding:

2467
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:2a28566da59dc354d70de74d931246c32dfdf1f570caae1ebec9ff1ad80b10d37758d2b6f22d9052ffe0b8766ce525ab93f3fdb5aba27ee3e2ce6e6fad7a1aa3
Download URL:

https://rosap.ntl.bts.gov/view/dot/87916/dot_87916_DS1.pdf
File Type:

[PDF - 1.04 MB ]

File Language:

English

ON THIS PAGE

Details

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.