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Electric vehicle supply chain investment under demand uncertainty: A jointly held real options perspective

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

An increasing number of electric vehicle (EV) companies are facing supply chain investment decisions, which are essential for the effective operation and management of their businesses. This study proposes a real options approach to explore the investment timing threshold of the EV supply chain under demand uncertainty. It addresses the limitations of previous studies that primarily focused on the perspective of a single investor under a deterministic demand. To achieve the objective, an analytical real options game model is first presented for investment in the EV supply chain. Then, the investment timing threshold and option value of the EV supply chain are derived under three different scenarios: the integrated case, the revenue-sharing contract case, and the revenue-sharing contract through bargaining. The findings reveal that the investment timing threshold is lower when bargaining occurs between the two parties in the EV supply chain compared to the revenue-sharing contract case. Furthermore, the investment timing threshold exhibits a negative correlation with the drift and learning rates. It also increases with the volatility of the bargaining parameter, risk-free interest rate, and market demand volatility. The option value, on the other hand, shows a positive correlation with the demand-shift and volatility parameters. A bargaining-based revenue-sharing contract is proposed as a means to coordinate the supply chain. These results provide theoretical guidance for investments in the EV supply chain.

Original languageEnglish
Article number110840
Number of pages12
JournalComputers and Industrial Engineering
Volume200
DOIs
Publication statusPublished - Feb 2025

Keywords

  • Bargaining
  • Demand uncertainty
  • Electric vehicle supply chain
  • Investment timing
  • Real options

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering

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