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Purpose The study assesses the most significant architectural core technological system that converges into a Battery Electric Vehicle (BEV). Design/methodology/approach Conceptually grounded in the convergence phenomenon and utilizing the graph theory-based network construction approach, based on the Betweenness Centrality (BC) metric, core International Patent Classifications (IPCs) have been empirically identified. Based on these IPCs, the ownership structure of the patents was established through assignee analysis. Findings Analyzing the networks obtained at different IPC levels, we found that multiple technologies have converged in a BEV, from battery chemistry to electrical engineering and thermal management of electrical machines. Research limitations/implications The outcome of this work has led to the identification of BEV technologies, which can be further developed to assess the trends of technologies and associated gaps and aid technology management for the selection, acquisition, and exploitation of technology. Practical implications The outcome of this work will aid technology management practitioners in better planning the selection, acquisition, and exploitation of technologies associated with BEV. Originality/value The paper adds an evidence-based approach to the body of knowledge to identify the built-in technologies that produce a BEV.
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Madhur Srivastava
Karuna Jain
Journal of Manufacturing Technology Management
Indian Institute of Technology Bombay
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Srivastava et al. (Tue,) studied this question.
synapsesocial.com/papers/68e5c84bb6db64358755e5a0 — DOI: https://doi.org/10.1108/jmtm-12-2023-0529