Title: Analysis of barriers to electric vehicles adoption: an integrated Pareto cum FUCOM approach

Authors: Shantanu Saraswat; Ahmad Abdullah; Faisal Talib

Addresses: Department of Mechanical Engineering, Faculty of Engineering & Technology, Zakir Husain College of Engineering & Technology, Aligarh Muslim University, Aligarh, 202002, India ' Department of Mechanical Engineering, Faculty of Engineering & Technology, Zakir Husain College of Engineering & Technology, Aligarh Muslim University, Aligarh, 202002, India ' Department of Mechanical Engineering, Faculty of Engineering & Technology, Zakir Husain College of Engineering & Technology, Aligarh Muslim University, Aligarh, 202002, India

Abstract: In today's world of exhausting non-renewable fossil fuels and ever-growing pollution on a global scale, there is an urgent need to focus on overcoming the climate changes caused by pollution. The auto industry being a major contributor to air pollution, came up with an alternative, electric vehicles. The objective of this paper is to identify, categorise and prioritise the barriers to the adoption of electric vehicles on a mass scale and to propose an implication model for industries. This study identifies 53 barriers through an extensive literature review and expert opinions and classifies them into four main categories. The significance of various subcategory barriers is evaluated using Pareto analysis. The ranking is done according to weights, which are determined by a novel full consistency method (FUCOM) approach. The result of this study reveals that out of 53 barriers, the vital few came out to be 24 barriers. Further among the four main category barriers, the economic barrier (EB) and knowledge management barrier (KMB) are found to be the most and the least influential main category barriers, respectively. The findings of this study will be beneficial to industrial managers and top-level management of the electric vehicles (EVs) auto industry.

Keywords: electric vehicles; EVs; Pareto analysis; barriers; full consistency method; FUCOM.

DOI: 10.1504/IJMDM.2023.134053

International Journal of Management and Decision Making, 2023 Vol.22 No.4, pp.434 - 471

Received: 03 Jun 2022
Accepted: 10 Jul 2022
Published online: 10 Oct 2023 *

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