Identification of potential barriers of EVsCI using EFA

Ruchita ()
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Ruchita: Indian Institute of Technology Delhi

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 3, No 15, 896-908

Abstract: Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce CO2 and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. The paper focussed to identify the barriers of EVsCI, to form a small group of barriers, and to validate four-level transition management.

Keywords: SLR; EVs; EVsCI; EFA; Barriers (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13198-021-01587-w

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