Drivers and barriers of electric vehicle usage in Malaysia: A DEMATEL approach

Resources, Conservation and Recycling - Tập 177 - Trang 105965 - 2022
Shahla Asadi1, Mehrbakhsh Nilashi2, Mohammad Iranmanesh3, Morteza Ghobakhloo4,5, Sarminah Samad6, Abdullah Alghamdi7, Ahmed Almulihi8, Saidatulakmal Mohd9
1Centre of Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
2Centre for Global Sustainability Studies (CGSS), Universiti Sains Malaysia, 11800, USM Penang, Malaysia
3School of Business and Law, Edith Cowan University, Joondalup, WA, Australia
4Graduate School of Business, Universiti Sains Malaysia, Penang, Malaysia
5School of Economics and Business, Kaunas University of Technology, Kaunas, Lithuania
6Department of Business Administration, College of Business and Administration, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
7Information Systems Dept., College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia
8Department of Computer Science, College of Computers and Information Technology, Taif University, P.O.Box. 11099, Taif 21944, Saudi Arabia
9Centre for Global Sustainability Studies & School of Social Sciences, Universiti Sains Malaysia, Malaysia

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Adnan, 2018, What make consumer sign up to PHEVs? Predicting Malaysian consumer behavior in adoption of PHEVs, Transp. Res. Part A: Policy Practice, 113, 259

Adnan, 2017, A new era of sustainable transport: an experimental examination on forecasting adoption behavior of EVs among Malaysian consumer, Transp. Res. Part A: Policy Pract., 103, 279

Ahmadi, 2015, Organizational decision to adopt hospital information system: an empirical investigation in the case of Malaysian public hospitals, Int. J. Med. Inform., 84, 166, 10.1016/j.ijmedinf.2014.12.004

Ahmadzadeh, 2021, Studying the critical success factors of ERP in the banking sector: a DEMATEL approach, Int. J. Procure. Manag., 14, 126

Al-Amin, 2016, People purchase intention towards hydrogen fuel cell vehicles: an experiential enquiry in Malaysia, Int. J. Hydrogen Energy, 41, 2117, 10.1016/j.ijhydene.2015.11.146

Alalwan, 2018, Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: extending UTAUT2 with risk, J. Retail. Consum. Serv., 40, 125, 10.1016/j.jretconser.2017.08.026

Alzahrani, 2019, Applying the theory of reasoned action to understanding consumers’ intention to adopt hybrid electric vehicles in Saudi Arabia, Transportation (Amst), 46, 199, 10.1007/s11116-017-9801-3

Asadi, 2021, Factors impacting consumers’ intention toward adoption of electric vehicles in Malaysia, J. Clean. Prod., 282, 10.1016/j.jclepro.2020.124474

Babar, 2021, Enhancement of electric vehicles’ market competitiveness using fuzzy quality function deployment, Technol. Forecast. Soc. Change, 167, 10.1016/j.techfore.2021.120738

Beh, 2021, Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators, Behav. Inf. Technol., 40, 282, 10.1080/0144929X.2019.1685597

Brownstone, 2000, Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles, Transp. Res. Part B: Methodol., 34, 315, 10.1016/S0191-2615(99)00031-4

Chandra, 2010, Green drivers or free riders? An analysis of tax rebates for hybrid vehicles, J. Environ. Econ. Manag., 60, 78, 10.1016/j.jeem.2010.04.003

Chen, 2020, Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences, Renew. Sustain. Energy Rev., 121, 10.1016/j.rser.2019.109692

Dalvi-Esfahani, 2020, Students’ green information technology behavior: beliefs and personality traits, J. Clean. Prod.,, 257, 10.1016/j.jclepro.2020.120406

Das, 2019, Comparative performance of electric vehicles using evaluation of mixed data, OPSEARCH, 56, 1067, 10.1007/s12597-019-00398-9

Degirmenci, 2017, Consumer purchase intentions for electric vehicles: is green more important than price and range?, Transp. Res. Part D: Transp. Environ., 51, 250, 10.1016/j.trd.2017.01.001

Dehdasht, 2017, DEMATEL-ANP risk assessment in oil and gas construction projects, Sustainability, 9, 1420, 10.3390/su9081420

Featherman, 2021, The impact of new technologies on consumers beliefs: reducing the perceived risks of electric vehicle adoption, Technol. Forecast. Soc. Change, 169, 10.1016/j.techfore.2021.120847

Greaves, 2013, Using the theory of planned behavior to explore environmental behavioral intentions in the workplace, J. Environ. Psychol., 34, 109, 10.1016/j.jenvp.2013.02.003

Haustein, 2018, Factors of electric vehicle adoption: a comparison of conventional and electric car users based on an extended theory of planned behavior, Int. J. Sustain. Transp., 12, 484, 10.1080/15568318.2017.1398790

Haustein, 2021, Battery electric vehicle adoption in Denmark and Sweden: recent changes, related factors and policy implications, Energy Policy, 149, 10.1016/j.enpol.2020.112096

He, 2018, How to activate moral norm to adopt electric vehicles in China? An empirical study based on extended norm activation theory, J. Clean. Prod., 172, 3546, 10.1016/j.jclepro.2017.05.088

Hidrue, 2011, Willingness to pay for electric vehicles and their attributes, Res. Energy Econ., 33, 686, 10.1016/j.reseneeco.2011.02.002

Higueras-Castillo, 2021, Adoption of electric vehicles: which factors are really important?, Int. J. Sustain. Transp., 15, 799, 10.1080/15568318.2020.1818330

Huang, 2019, Electric vehicle development in Beijing: an analysis of consumer purchase intention, J. Clean. Prod., 216, 361, 10.1016/j.jclepro.2019.01.231

Huse, 2014, The market impact and the cost of environmental policy: evidence from the Swedish green car rebate, Econ. J., 124, F393, 10.1111/ecoj.12060

Hwang, 2016, A TOE approach to establish a green supply chain adoption decision model in the semiconductor industry, Sustainability, 8, 168, 10.3390/su8020168

Ignacio, 2020, Exploring the implementation barriers of eco-toilet system in the Philippines using decision-making trial and evaluation laboratory (DEMATEL) approach, 778

Jansson, 2017, Examining drivers of sustainable consumption: the influence of norms and opinion leadership on electric vehicle adoption in Sweden, J. Clean. Prod., 154, 176, 10.1016/j.jclepro.2017.03.186

Jing, 2019, Exploring the factors affecting mode choice Intention of autonomous vehicle based on an extended theory of planned behavior—a case study in China, Sustainability, 11, 1155, 10.3390/su11041155

Kaplan, 2016, Intentions to introduce electric vehicles in the commercial sector: a model based on the theory of planned behaviour, Res. Transp. Econ., 55, 12, 10.1016/j.retrec.2016.04.006

Khazaei, 2019, The influence of personal innovativeness and price value on intention to use of electric vehicles in Malaysia, Eur. Online J. Nat. Soc. Sci., 8, 483

Kim, 2020, Global warming offsets the ecophysiological stress of ocean acidification on temperate crustose coralline algae, Mar. Pollut. Bull., 157, 10.1016/j.marpolbul.2020.111324

Kim, 2018, Perceived value and adoption intention for electric vehicles in Korea: moderating effects of environmental traits and government supports, Energy, 159, 799, 10.1016/j.energy.2018.06.064

Kleiner, 2018, Quantitative analysis of the public charging-point evolution: a demand-driven spatial modeling approach, Transpo. Res. Part D: Transp. Environ., 62, 212, 10.1016/j.trd.2018.03.001

Krishnan, V.V., & Koshy, B.I. (2021). Evaluating the factors influencing purchase intention of electric vehicles in households owning conventional vehicles. Case Stud. Transp. Policy.

Kumar, 2020, Adoption of electric vehicle: a literature review and prospects for sustainability, J. Clean. Prod., 253, 10.1016/j.jclepro.2019.119911

Lin, 2018, Why people want to buy electric vehicle: an empirical study in first-tier cities of China, Energy Policy, 112, 233, 10.1016/j.enpol.2017.10.026

Liu, 2019, Predicting consumers’ adoption of electric vehicles during the city smog crisis: an application of the protective action decision model, J. Environ. Psychol., 64, 30, 10.1016/j.jenvp.2019.04.013

Mavi, 2018, Critical success factors of sustainable project management in construction: a fuzzy DEMATEL-ANP approach, J. Clean. Prod., 194, 751, 10.1016/j.jclepro.2018.05.120

Mehta, 2019, The influence of values on E-learning adoption, Comput. Educ., 141, 10.1016/j.compedu.2019.103617

Mersky, 2016, Effectiveness of incentives on electric vehicle adoption in Norway, Transp. Res. Part D: Transp. Environ., 46, 56, 10.1016/j.trd.2016.03.011

Mohamed, 2018, The influence of vehicle body type in shaping behavioural intention to acquire electric vehicles: a multi-group structural equation approach, Transp. Res. Part A: Policy Practice, 116, 54

Mukherjee, 2020, Factors influencing early battery electric vehicle adoption in Ireland, Renew. Sustain. Energy Revi., 118

Müller, 2019, Comparing technology acceptance for autonomous vehicles, battery electric vehicles, and car sharing—a study across Europe, China, and North America, Sustainability, 11, 4333, 10.3390/su11164333

Mustapa, S.I., Ayodele, B.V., Mohamad Ishak, W. W., & Ayodele, F.O. (2020). Evaluation of cost competitiveness of electric vehicles in malaysia using life cycle cost analysis approach. Sustainability, 12(13), 5303.

Neubauer, 2012, Sensitivity of battery electric vehicle economics to drive patterns, vehicle range, and charge strategies, J. Power Sources, 209, 269, 10.1016/j.jpowsour.2012.02.107

Ng, 2018, Predicting purchase intention of electric vehicles in Hong Kong, Australas. Mark. J. (AMJ), 26, 272, 10.1016/j.ausmj.2018.05.015

Pradeep, 2021, Does perceived technology and knowledge of maintenance influence purchase intention of BEVs, Transpo. Res. Part D: Transp. Environ., 93, 10.1016/j.trd.2021.102759

Sharma, M., Joshi, S., & Kumar, A. (2020). Assessing enablers of e-waste management in circular economy using DEMATEL method: an Indian perspective. Environ. Sci. Pollut. Res., 1–14.

Sierzchula, 2014, Factors influencing fleet manager adoption of electric vehicles, Transp. Res. Part D: Transp. Environ., 31, 126, 10.1016/j.trd.2014.05.022

The World Bank (2021). World development indicators. https://datacatalog.worldbank.org/dataset/world-development-indicators.

Tu, 2019, Key factors influencing consumers’ purchase of electric vehicles, Sustainability, 11, 3863, 10.3390/su11143863

Vassileva, 2017, Adoption barriers for electric vehicles: experiences from early adopters in Sweden, Energy, 120, 632, 10.1016/j.energy.2016.11.119

Vergis, 2015, Comparison of plug-in electric vehicle adoption in the United States: a state by state approach, Res. Transp. Econ., 52, 56, 10.1016/j.retrec.2015.10.003

Wang, 2017, The impact of policy measures on consumer intention to adopt electric vehicles: evidence from China, Transp. Res. Part A: Policy Pract., 105, 14

Wang, 2018, Policy implications for promoting the adoption of electric vehicles: do consumer's knowledge, perceived risk and financial incentive policy matter?, Transp. Res. Part A: Policy Pract., 117, 58, 10.1016/j.trc.2017.12.003

Wang, 2021, The influences of incentive policy perceptions and consumer social attributes on battery electric vehicle purchase intentions, Energy Policy, 151, 10.1016/j.enpol.2021.112163

Wang, 2017, Purchasing intentions of Chinese citizens on new energy vehicles: how should one respond to current preferential policy?, J. Clean. Prod., 161, 1000, 10.1016/j.jclepro.2017.05.154

Wu, 2019, The role of environmental concern in the public acceptance of autonomous electric vehicles: a survey from China, Transp. Res. Part F: Traffic Psychol. Behav., 60, 37, 10.1016/j.trf.2018.09.029

Xu, 2021, Transition to sustainable transport: understanding the antecedents of consumer's intention to adopt electric vehicles from the emotional research perspective, Environ. Sci. Pollut. Res., 28, 20362, 10.1007/s11356-020-12006-1

Xu, 2019, A SEM–Neural network approach to predict customers’ intention to purchase battery electric vehicles in China's Zhejiang province, Sustainability, 11, 3164, 10.3390/su11113164

Yadav, 2020, Blockchain critical success factors for sustainable supply chain, Resour., Conserv. Recycl., 152, 10.1016/j.resconrec.2019.104505

Zailani, 2019, Applying the theory of consumption values to explain drivers’ willingness to pay for biofuels, Sustainability, 11, 668, 10.3390/su11030668

Zhang, 2018, Is subsidized electric vehicles adoption sustainable: consumers’ perceptions and motivation toward incentive policies, environmental benefits, and risks, J. Clean. Prod., 192, 71, 10.1016/j.jclepro.2018.04.252

Zhou, 2018, Exploring the impacts of a low-carbon policy instrument: a case of carbon tax on transportation in China, Resour., Conserv. Recycl.,, 139, 307, 10.1016/j.resconrec.2018.08.015