R&D and pricing strategies in the intelligent vehicle supply chain under cross-organizational cooperative models
Hui Yu, Fei Song
TL;DR
This paper analyzes different R&D and pricing strategies in the intelligent vehicle supply chain under various cooperative models to help companies make better strategic decisions.
Contribution
The paper introduces game-theoretic models for four cooperative R&D frameworks in the intelligent vehicle industry.
Findings
Core industry players should adopt the technology-dominant or manufacturer-dominant model depending on their role.
The joint decision-making model is preferable for non-core players or when focusing on high intelligence over profits.
Higher consumer price sensitivity leads to simultaneous use of quality and low-price strategies.
Abstract
With the development of automotive intelligence, vehicle manufacturers and technology companies have engaged in cross-industry cooperative research and development (R&D), leading to new cooperative R&D models. In this context, this paper develops game-theoretic models for four distinct cooperative frameworks: the technology-dominant model, the supplier-cooperation model, the manufacturer-dominant model, and the joint decision-making model. This paper aims to explore the conditions under which different cooperative R&D models are applicable and examines the strategic choices associated with each model. The results indicate that if a company is a core industry player, the core component supplier should select the technology-dominant model, while the vehicle manufacturer should choose the manufacturer-dominant model. If it is not a core player, the joint decision-making model is the next…
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Taxonomy
TopicsSupply Chain and Inventory Management · Sustainable Supply Chain Management · Innovation Diffusion and Forecasting