Integrating Diffusion of Innovations and Theory of Planned Behavior to Predict Intention to Adopt Electric Vehicles in Rwanda

Authors

  • Paul Chukwuma African Leadership University Rwanda

DOI:

https://doi.org/10.47604/ejbsm.1763
Abstract views: 386
PDF downloads: 286

Keywords:

Theory of Planned Behaviour, Diffusion of Innovation, Electric Vehicles, Adoption Intention, Perceived Innovation Characteristics

Abstract

Purpose: Integration of the theory of planned behaviour and the Diffusion of innovations (DOI) theory to examine EVs low adoption intention in Rwanda.

Methodology: The research model involved the integration of the Theory of planned behaviour and the Diffusion of innovation. To build the conceptual framework, over 50 articles were collected from Google scholar and summarised using meta-analysis. Two hundred and twenty participants were surveyed in person using a questionnaire, with each construct having at least three questions to run the Partial least squares (PLS) Structural Equation Modelling (SEM).  Data were analysed using SmartPLS 4.0.

Findings: The study found that two factors of the Theory of planned behaviour TPB- attitudes and perceived behavioural control- positively impact EVs adoption intention while subjective norm does not. Three factors of diffusion of innovation (DOI)- trialability, compatibility, and observability- positively impact attitude towards EV adoption.

Unique Contribution to Theory, Practice and Policy: Findings from the research explain the low adoption of electric vehicles in Rwanda. They can serve as an objective basis for policymakers to upscale EV uptake in Rwanda and brings to perspective the context of Rwanda on factors of EV adoption.

Downloads

Download data is not yet available.

References

Abou-Zeid, M., & Ben-Akiva, M. (2012). Well-being and activity-based models. Transportation, 39(6), 1189–1207. https://doi.org/10.1007/s11116-012-9387-8

Ackaah, W., Leslie, V. L., & Osei, K. K. (2021). Perception of autonomous vehicles – a Ghanaian perspective. Transportation Research Interdisciplinary Perspectives, 11, 100437. https://doi.org/10.1016/j.trip.2021.100437

Adnan, N., Nordin, S. M., Rahman, I., & Amini, M. H. (2017). A market modeling review study on predicting Malaysian consumer behavior towards widespread adoption of PHEV/EV. Environmental Science and Pollution Research, 24(22), 17955–17975. https://doi.org/10.1007/s11356-017-9153-8

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T

Ajzen, I. (2019). Constructing a Theory of Planned Behavior Questionnaire. Retrieved from https://www.researchgate.net/publication/235913732_Constructing_a_Theory_of_Planned_Behavior_Quest ionnaire

Alzahrani, K., Hall-Phillips, A., & Zeng, A. Z. (2017). Applying the theory of reasoned action to understanding consumers’ intention to adopt hybrid electric vehicles in Saudi Arabia. Transportation, 46(1), 199–215. https://doi.org/10.1007/s11116-017-9801-3

Ampersand. (2022). Home. AMPERSAND. Retrieved December 15, 2022, from https://www.ampersand.solar/

Ansab, K. V., & Kumar, S. P. (2020). The Factors Influencing Electric Car Adoption among consumers in an Emerging Market Context. Society for Marketing Advances Proceedings, 182–187.

Asadi, S., Nilashi, M., Iranmanesh, M., Ghobakhloo, M., Samad, S., Alghamdi, A., Almulihi, A., & Mohd, S. (2022). Drivers and barriers of electric vehicle usage in Malaysia: A DEMATEL approach. Resources, Conservation and Recycling, 177, 105965. https://doi.org/10.1016/j.resconrec.2021.105965

Chen, K., Ren, C., Gu, R., & Zhang, P. (2019). Exploring purchase intentions of New Energy Vehicles: From the perspective of frugality and the concept of “Mianzi.” Journal of Cleaner Production, 230, 700–708. https://doi.org/10.1016/j.jclepro.2019.05.135

Chen, S.-C., & Hung, C.-W. (2016). Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior. Technological Forecasting and Social Change, 112, 155–163. https://doi.org/10.1016/j.techfore.2016.08.022

Chou, C. J., Chen, K. S., & Wang, Y. Y. (2012). Green practices in the restaurant industry from an innovation adoption perspective: Evidence from Taiwan. International Journal of Hospitality Management, 31(3), 703-711. https://doi.org/10.1016/j.ijhm.2011.09.006

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillside, NJ: Lawrence Erlbaum Associates.

Dutta, B., & Hwang, H.-G. (2021). Consumers purchase intentions of Green Electric Vehicles: The influence of consumers technological and environmental considerations. Sustainability, 13(21), 12025. https://doi.org/10.3390/su132112025

Egbue, O., & Long, S. (2012). Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions. Energy Policy, 48, 717–729. https://doi.org/10.1016/j.enpol.2012.06.009

Ellen, H., Sim, S., & Rachael, B. (2021). Causes of climate change [Ebook]. Retrieved from https://climatescience.org/advanced-greenhouse-effect/

Ezeh, P.C. and Nkamnebe, A.D. (2018), “A conceptual framework for the adoption of Islamic banking in a pluralistic-secular nation: Nigerian perspective”, Journal of Islamic Marketing, Vol. 9 No. 4, pp. 951-964.

Felix , A., Rebecca , O., & Folorunso, O. (2010). Diffusion of Innovation in Social Networking Sites among University Students. Retrieved December 8, 2022, from https://www.researchgate.net/publication/46093467_Diffusion_of_Innovation_in_Social_Networking_Sites_among_University_Students

Gulzari, A., Wang, Y., & Prybutok, V. (2022). A green experience with eco-friendly cars: A Young Consumer Electric Vehicle Rental Behavioral Model. Journal of Retailing and Consumer Services, 65, 102877. https://doi.org/10.1016/j.jretconser.2021.102877

Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (2nd ed.). Sage publications, LA. https://doi.org/10.15358/9783800653614

Han, H., jae, M., & Hwang, J. (2016). Cruise travelers’ environmentally responsible decision-making: An integrative framework of goal-directed behavior and Norm Activation process. International Journal of Hospitality Management, 53, 94–105. https://doi.org/10.1016/j.ijhm.2015.12.005

Hsu, C.-L., Chen, Y.-C., Yang, T.-N., & Lin, W.-K. (2017). Do website features matter in an online gamification context? focusing on the mediating roles of user experience and attitude. Telematics and Informatics, 34(4), 196–205. https://doi.org/10.1016/j.tele.2017.01.009

Jamshidi, D., Hussin, N. and Lai Wan, H. (2015), “Islamic banking services adoption as a new banking restructure: examining its adoption from the perspective of DOI theory and trust in Malaysia”, Humanomics, Vol. 31 No. 2, pp. 214-223.

Jung Moon, S. (2020). Integrating diffusion of innovations and theory of planned behavior to predict intention to adopt electric vehicles. International Journal of Business and Management, 15(11), 88. https://doi.org/10.5539/ijbm.v15n11p88

Kaplan, S., Gruber, J., Reinthaler, M., & Klauenberg, J. (2016). Intentions to introduce electric vehicles in the commercial sector: A model based on the theory of planned behaviour. Research in Transportation Economics, 55, 12–19. https://doi.org/10.1016/j.retrec.2016.04.006

Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280. https://doi.org/10.1016/j.techsoc.2020.101280

Li, W., Long, R., Chen, H., & Geng, J. (2017). A review of factors influencing consumer intentions to adopt Battery Electric Vehicles. Renewable and Sustainable Energy Reviews, 78, 318–328. https://doi.org/10.1016/j.rser.2017.04.076

McCollum, D. L., Wilson, C., Bevione, M., Carrara, S., Edelenbosch, O. Y., Emmerling, J., Guivarch, C., Karkatsoulis, P., Keppo, I., Krey, V., Lin, Z., Broin, E. Ó., Paroussos, L., Pettifor, H., Ramea, K., Riahi, K., Sano, F., Rodriguez, B. S., & van Vuuren, D. P. (2018). Interaction of consumer preferences and climate policies in the global transition to low-carbon vehicles. Nature Energy, 3(8), 664–673. https://doi.org/10.1038/s41560-018-0195-z

Min, S., So, K. K., & Jeong, M. (2018). Consumer adoption of the uber mobile application: Insights from diffusion of innovation theory and technology acceptance model. Journal of Travel & Tourism Marketing, 36(7), 770–783. https://doi.org/10.1080/10548408.2018.1507866

Ministry of Infrastructure. (2021). Rwanda is Building Climate Resilient Transport Systems. MININFRA. Retrieved October 17, 2022, from https://www.mininfra.gov.rw/updates/news-details/rwanda-is-building-climate-resilient-transport-systems

Mohamed, M., Higgins, C., Ferguson, M., & Kanaroglou, P. (2016). Identifying and characterizing potential electric vehicle adopters in Canada: A two-stage modelling approach. Transport Policy, 52, 100–112. https://doi.org/10.1016/j.tranpol.2016.07.006

Mohiuddin, M., Al Mamun, A., Syed, F. A., Mehedi Masud, M., & Su, Z. (2018). Environmental Knowledge, Awareness, and Business School Students’ Intentions to Purchase Green Vehicles in Emerging Countries. Sustainability, 10(5), 1534.

Moons, I., & De Pelsmacker, P. (2015). An extended decomposed theory of planned behaviour to predict the usage intention of the electric car: a multi-group comparison. Sustainability, 7(5), 6212–6245. https://doi.org/10.3390/su7056212

Moons, I., & De Pelsmacker, P. (2015). An extended decomposed theory of planned behaviour to predict the usage intention of the electric car: a multi-group comparison. Sustainability, 7(5), 6212–6245. https://doi.org/10.3390/su7056212

Mukhlis , Y. (2014). Diffusion of Innovation, Consumer Attitudes and Intentions to use Mobile Banking. Information and Knowledge Management , 4(10). https://doi.org/https://core.ac.uk/display/234671813?utm_source=pdf&utm_medium=banner&utm_campaign=pdf-decoration-v1

Rezvani, Z., Jansson, J., & Bengtsson, M. (2017). Cause I'll feel good! an investigation into the effects of anticipated emotions and personal moral norms on consumer pro-environmental behavior. Journal of Promotion Management, 23(1), 163–183. https://doi.org/10.1080/10496491.2016.1267681

Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). The Free Press, NY, pp. 15-17.

Shalender, K., & Yadav, R. K. (2020). Promoting e-mobility in India: Challenges, framework, and future roadmap. Environment, Development and Sustainability, 20(6), 2587–2607. https://doi.org/10.1007/s10668-017-0006-x

Shankar, A., & Kumari, P. (2019). Exploring the enablers and inhibitors of electric vehicle adoption intention from sellers' perspective in India: A view of the dual‐factor model. International Journal of Nonprofit and Voluntary Sector Marketing, 24(4). https://doi.org/10.1002/nvsm.1662

Singh, V., Singh, V., & Vaibhav, S. (2020). A review and simple meta-analysis of factors influencing adoption of electric vehicles. Transportation Research Part D: Transport and Environment, 86, 102436. https://doi.org/10.1016/j.trd.2020.102436

Sudmant, A., Kalisa, E., & Bower, J. (2020). Ideas for growth The impact of scaling up electric motorbikes in Rwanda.

Thuy, T. T., & Hong, P. T. (2019). Attitude to and Usage Intention of High School Students Toward Electric Two-Wheeled Vehicles in Hanoi City. VNU Journal of Science: Economics and Business, 35(2), Article 2. https://doi.org/10.25073/2588-1108/vnueab.4224https://doi.org/10.25073/2588-1108/ vnueab.4224

Vafaei-Zadeh, A., Wong, T.-K., Hanifah, H., Teoh, A. P., & Nawaser, K. (2022). Modelling Electric Vehicle Purchase intention among generation Y consumers in Malaysia. Research in Transportation Business & Management, 43, 100784. https://doi.org/10.1016/j.rtbm.2022.100784

Wahab, L., & Jiang, H. (2019). Factors influencing the adoption of electric vehicle: The case of electric motorcycle in northern Ghana. INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING, 9(1), 22–37. https://doi.org/10.7708/ijtte.2019.9(1).03

Wang, S., Fan, J., Zhao, D., Yang, S., & Fu, Y. (2014). Predicting consumers’ intention to adopt hybrid electric vehicles: Using an extended version of the theory of planned behavior model. Transportation, 43(1), 123–143. https://doi.org/10.1007/s11116-014-9567-9

Wu, J., Liao, H., & Wang, J.-W. (2020). Analysis of consumer attitudes towards autonomous, connected, and electric vehicles: A survey in China. Research in Transportation Economics, 80, 100828. https://doi.org/10.1016/j.retrec.2020.100828

Yahaya, S., Yusoff, W.S.B.W., Idris, A.F.B. and Haji-Othman, Y. (2014), “Conceptual framework for adoption of Islamic banking in Nigeria: the role of customer involvement”, European Journal of Business and Management, Vol. 6 No. 30, pp. 11-24.

Yeğin, T., & Ikram, M. (2022). Analysis of consumers’ Electric Vehicle Purchase Intentions: An expansion of the theory of planned behavior. Sustainability, 14(19), 12091. https://doi.org/10.3390/su141912091

Downloads

Published

2023-02-10

How to Cite

Chukwuma, P. (2023). Integrating Diffusion of Innovations and Theory of Planned Behavior to Predict Intention to Adopt Electric Vehicles in Rwanda. European Journal of Business and Strategic Management, 8(1), 1–15. https://doi.org/10.47604/ejbsm.1763