Highlights Investigated the challenges impeding the adoption of electric vehicles. Attempted to understand the causal relations among the challenges. A novel Grey Influence Analysis (GINA) methodology is used. Reliability and lifespan of EV components emerges top considering influence scores. Managers can identify the major challenges in the adoption of electric vehicles.

    Abstract To combat emissions from transportation sector, India is transitioning to a “zero or low carbon emission” transportation paradigm by encouraging the use of hydrogen fuel cars and electric vehicles (EVs). The study aims to investigate the challenges impeding the adoption of electric vehicles and to understand the causal relations among them. The novel Grey Influence Analysis (GINA) methodology has been utilised to study the causal relations among the challenges and managers and practitioners are benefitted as they are able to identify the most important challenges in the adoption of EVs in India and act accordingly. The findings of a survey-based study show that lack of charging infrastructure comes in second place and the reliability and lifespan of EV components come in first place, when evaluating the overall or total influence scores. The third place among the most important drivers is occupied by lack of servicing/workshops, low awareness of battery characteristics, high upfront cost, and fear of battery explosions. On detailed analysis of the driving forces for adoption, it is apparent that the reliability and lifespan of EV components is the most important driving factor for adoption; hence, policy makers and practitioners can focus on this for augmenting the adoption rates.


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    Titel :

    Causal analysis of the challenges to electric vehicles’ adoption using GINA: Implications to emerging economies


    Beteiligte:
    Suresh Kumar, P. (Autor:in) / Shriram, R.G. (Autor:in) / Rajesh, R. (Autor:in) / Rammohan, A. (Autor:in)

    Erscheinungsdatum :

    2024-02-17




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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