Electric Vehicle Adoption: The Nexus of Knowledge, Perceived Usefulness, and Ease of Use

Authors

  • Sajjad Hussain PhD Scholar, Faculty of Management Sciences, International Islamic University, Islamabad, Pakistan.
  • Imran M. Qureshi Assistant Professor, Faculty of Management Sciences, International Islamic University, Islamabad, Pakistan.

DOI:

https://doi.org/10.55737/qjssh.591349398

Keywords:

Intention to Buy EVs, Knowledge about EVs, Perceived Ease of use, Perceived Usefulness

Abstract

The current study explores the relationships between individuals’ level of knowledge about EVs, perceived usefulness, perceived ease of use and intention to buy EVs. The study utilized data collected from 277 participants selected using a purposive sampling technique. Results of the study show that knowledge about EVs positively impacts perceived usefulness and perceived ease of use. This can positively affect people’s intention to adopt EVs as an eco-friendly means of transportation. The study also suggests the need to design awareness programs to improve the opinion and experience of users with EVs. The study suggests the use of experimental designs and longitudinal research to further explore the causality across different cultures using a more diverse data set. In this way, the study provides insights into the consumer’s decision-making process regarding EVs and thus helps contribute to the establishment of an eco-friendly transportation system.

Author Biography

  • Sajjad Hussain, PhD Scholar, Faculty of Management Sciences, International Islamic University, Islamabad, Pakistan.

References

Ajzen. I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. https://ci.nii.ac.jp/ncid/BA21965086

Alibašić, H. (2020). The administrative and ethical considerations of climate resilience: The politics and Consequences of climate change. Public Integrity, 24(1), 33–50. https://doi.org/10.1080/10999922.2020.1838142

Baker- Eveleth, L., & Stone, R. W. (2015). Usability, expectation, confirmation, and continuance intentions to use electronic textbooks. Behaviour & Information Technology, 34(10), 992–1004. https://doi.org/10.1080/0144929x.2015.1039061

Bobeth, S., & Kastner, I. (2020). Buying an electric car: A rational choice or a norm-directed behaviour? Transportation Research. Part F, Traffic Psychology and Behaviour, 73, 236–258. https://doi.org/10.1016/j.trf.2020.06.009

Chen, T. D., Kockelman, K. M., & Hanna, J. P. (2016). Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions. Transportation Research Part A: Policy and Practice, 94, 243-254. https://trid.trb.org/view/1392661

David, B., & Giordano-Spring, S. (2021). Climate Reporting related to the TCFD Framework: An Exploration of the air Transport sector. Social & Environmental Accounting/Social and Environmental Accountability Journal, 42(1–2), 18–37. https://doi.org/10.1080/0969160x.2021.2007784

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-340 https://doi.org/10.2307/249008

Dimitropoulos, A., & Van Ommeren, P. R. J. (2013). Identifying potential early adopters of electric vehicles in Europe: The Company Car Market Case. Energy Economics of Phasing Out Carbon and Uranium,13th IAEE European Conference, August 18-21, 2013. http://www.iaee.org/proceedings/article/7389

Fazel, L. (2014). Akzeptanz von Elektromobilität: Entwicklung und Validierung eines Modells unter Berücksichtigung der Nutzungsform des Carsharing. Springer-Verlag.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203

Holden, R. J., & Karsh, B. (2010). The Technology Acceptance Model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172. https://doi.org/10.1016/j.jbi.2009.07.002

Huang, X., Lin, Y., Lim, M. K., Tseng, M., & Zhou, F. (2021). The influence of knowledge management on adoption intention of electric vehicles: a perspective on technological knowledge. Industrial Management + Data Systems/Industrial Management & Data Systems, 121(7), 1481–1495. https://doi.org/10.1108/imds-07-2020-0411

Hussain, Z. (2022). Z. (2022). Environmental and economic-oriented transport efficiency: The role of climate change mitigation technology. Environmental Science and Pollution Research International, 29(19), 29165–29182. https://doi.org/10.1007/s11356-021-18392-4

Jia, J., Xu, J., Fan, Y., & Ji, Q. (2018). Willingness to accept energy-saving measures and adoption barriers in the residential sector: An empirical analysis in Beijing, China. Renewable & Sustainable Energy Reviews, 95, 56–73. https://doi.org/10.1016/j.rser.2018.07.015

Kastner, I., & Stern, P. C. (2015). Examining the decision-making processes behind household energy investments: A review. Energy Research & Social Science, 10, 72–89. https://doi.org/10.1016/j.erss.2015.07.008

Kim, M., Park, M., & Jeong, D. (2004). The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommunications Policy, 28(2), 145–159. https://doi.org/10.1016/j.telpol.2003.12.003

Krishnan, V. V., & Koshy, B. I. (2021). Evaluating the factors influencing purchase intention of electric vehicles in households owning conventional vehicles. Case Studies on Transport Policy, 9(3), 1122–1129. https://doi.org/10.1016/j.cstp.2021.05.013

Liao, F., Molin, E., & Van Wee, B. (2016). Consumer preferences for electric vehicles: a literature review. Transport Reviews, 37(3), 252–275. https://doi.org/10.1080/01441647.2016.1230794

Malatji, W. R., Van Eck, R., & Zuva, T. (2020). Understanding the usage, Modifications, Limitations and Criticisms of the Technology Acceptance Model (TAM). Advances in Science, Technology and Engineering Systems Journal, 5(6), 113–117. https://doi.org/10.25046/aj050612

Mousazadeh, H., Jafarbiglu, H., Abdolmaleki, H., Omrani, E., Monhaseri, F., Abdollahzadeh, M., Mohammadi-Aghdam, A., Kiapei, A., Salmani-Zakaria, Y., & Makhsoos, A. (2018). Developing a navigation, guidance and obstacle avoidance algorithm for an Unmanned Surface Vehicle (USV) by algorithms fusion. Ocean Engineering, 159, 56–65. https://doi.org/10.1016/j.oceaneng.2018.04.018

Perera, F., & Nadeau, K. (2022). Climate change, fossil-fuel pollution, and children’s health. New England Journal of Medicine, 386(24), 2303-2314. https://doi.org/10.1056/nejmra2117706

Rezvani, Z., Jansson, J., & Bodin, J. (2015). Advances in consumer electric vehicle adoption research: A review and research agenda. Transportation Research. Part D, Transport and Environment, 34, 122–136. https://doi.org/10.1016/j.trd.2014.10.010

Schwedes, O., Kettner, S., & Tiedtke, B. (2013). E-mobility in Germany: White hope for a sustainable development or Fig leaf for particular interests? Environmental Science & Policy, 30, 72–80. https://doi.org/10.1016/j.envsci.2012.10.012

Segars, A. H., & Grover, V. (1993). Re-Examining perceived ease of use and usefulness: a confirmatory factor analysis. Management Information Systems Quarterly, 17(4), 517. https://doi.org/10.2307/249590

Sierzchula, W., Bakker, S., Maat, K., & Van Wee, B. (2014). The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy Policy, 68, 183–194. https://doi.org/10.1016/j.enpol.2014.01.043

Stern, D. I. (2011). The role of energy in economic growth. Annals of the New York Academy of Sciences, 1219(1), 26–51. https://doi.org/10.1111/j.1749-6632.2010.05921.x

Stone, R. W., & Baker-Eveleth, L. (2013). Students’ expectation, confirmation, and continuance intention to use electronic textbooks. Computers in Human Behavior, 29(3), 984–990. https://doi.org/10.1016/j.chb.2012.12.007

Wang, S., Wang, J., Li, J., Wang, J., & Liang, L. (2018). Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter? Transportation Research. Part a, Policy and Practice, 117, 58–69. https://doi.org/10.1016/j.tra.2018.08.014

Wolske, K. S., & Stern, P. C. (2018). Contributions of psychology to limiting climate change: Opportunities through consumer behavior. In Psychology and climate change (pp. 127-160). Academic Press.

Wu, J., Liao, H., Wang, J., & Chen, T. (2019). The role of environmental concern in the public acceptance of autonomous electric vehicles: A survey from China. Transportation Research. Part F, Traffic Psychology and Behaviour, 60, 37–46. https://doi.org/10.1016/j.trf.2018.09.029

Published

2024-06-30

Issue

Section

Articles

How to Cite

Hussain, S., & Qureshi, I. M. (2024). Electric Vehicle Adoption: The Nexus of Knowledge, Perceived Usefulness, and Ease of Use. Qlantic Journal of Social Sciences and Humanities, 5(2), 154-161. https://doi.org/10.55737/qjssh.591349398

Similar Articles

1-10 of 28

You may also start an advanced similarity search for this article.