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Assessment framework for automotive suppliers' technological adaptability in the electric vehicle era.
- Source :
- Technological Forecasting & Social Change; Jun2024, Vol. 203, pN.PAG-N.PAG, 1p
- Publication Year :
- 2024
-
Abstract
- As car original equipment manufacturers (OEMs) announce the electrification of their product line-ups, assessing the technological adaptability of their suppliers in the electric vehicle (EV) era is necessary. The technological adaptability of a supplier can vary significantly in terms of accumulated technologies. Herein, we propose a framework to assess adaptability from two aspects—EV-related and pivoting—based on patent portfolio analysis. First, adaptability to EV-related technologies is evaluated in terms of a supplier's patents applied individually and copatents with OEMs for parts to be modified. The degree of similarity of the patents related to internal combustion engine vehicle (ICEV) components with the patents related to EVs is calculated using PatentSBERTa, which reflects the modification degree required for ICEV components to be suitable for EVs. Second, we utilize automotive industry-related and unrelated diversity based on the entropy of International Patent Classification (IPC) codes to measure the supplier's technological adaptability to pivot within the automotive industry or other industries. The framework is empirically applied to suppliers in the drivetrain and climate control sectors to assess their technological adaptability to supply EV parts associated with the parts they are delivering. Our framework is expected to provide transition strategies for automotive suppliers in the EV era. • We propose a framework to assess the technological adaptability of automotive suppliers. • The framework is based on the patent portfolio analysis. • EV-related technological adaptability and the adaptability to pivot are measured. • The framework is applied to drivetrain and climate control suppliers. • We offer technological strategies to incumbent suppliers based on the framework. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00401625
- Volume :
- 203
- Database :
- Supplemental Index
- Journal :
- Technological Forecasting & Social Change
- Publication Type :
- Academic Journal
- Accession number :
- 176864941
- Full Text :
- https://doi.org/10.1016/j.techfore.2024.123385