263
Views
0
CrossRef citations to date
0
Altmetric
Research Article

From intentions to actions: unveiling the socio-psychological drivers of solar home system adoption in developing nations

, , , &
Received 26 Apr 2023, Accepted 03 Feb 2024, Published online: 12 Feb 2024

References

  • Abubakar, F. M., & Ahmed, H. B. (2013). The moderating effect of technology awareness on the relationship between UTAUT constructs and behavioural intention to Use technology: A conceptual paper. Australian Journal of Business and Management Research, 03(2), 14–23.
  • Ahmad, A., Madi, Y., Abuhashesh, M., Nusairat, N., & Masa’deh, R. E. (2020). The knowledge, attitude, and practice of the adoption of green fashion innovation. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 107.
  • Ahn, M., Kang, J., & Hustvedt, G. (2016). A model of sustainable household technology acceptance. International Journal of Consumer Studies, 40(1), 83–91.
  • Alipour, M., Salim, H., Stewart, R. A., & Sahin, O. (2020). Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review. Renewable and Sustainable Energy Reviews, 123, 109749.
  • Andriosopoulos, K., Bigerna, S., Bollino, C. A., & Micheli, S. (2018). The impact of age on Italian consumers’ attitude toward alternative fuel vehicles. Renewable Energy, 119, 299–308.
  • Attuquayefio, S., & Addo, H. (2014). Review of studies with UTAUT as conceptual framework. European Scientific Journal, 10(8).
  • Azzopardi, B., & Mutale, J. (2010). Life cycle analysis for future photovoltaic systems using hybrid solar cells. Renewable and Sustainable Energy Reviews, 14(3), 1130–1134.
  • Bamberg, S., & Möser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour. Journal of Environmental Psychology, 27(1), 14–25.
  • Barreto, R. A. (2018). Fossil fuels, alternative energy and economic growth. Economic Modelling, 75, 196–220.
  • Bossle, M. B., de Barcellos, M. D., Vieira, L. M., & Sauvée, L. (2016). The drivers for adoption of eco-innovation. Journal of Cleaner Production, 113, 861–872.
  • Chao, C.-M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1652.
  • Deetman, S., de Boer, H. S., Van Engelenburg, M., van der Voet, E., & van Vuuren, D. P. (2021). Projected material requirements for the global electricity infrastructure – generation, transmission and storage. Resources, Conservation and Recycling, 164, 105200.
  • Fazelpour, F., Markarian, E., & Soltani, N. (2017). Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran. Renewable Energy, 109, 646–667.
  • Feng, Z., He, Q. C., & Ma, G. (2021). Mitigating poverty through solar panels adoption in developing economies. Michigan: Decision Sciences.
  • Hair, Jr J. F., Ringle, C., Sarstedt, M., & Gudergan, S. P. (2017). Advanced issues in partial least square structural equation modeling. Munich: SAGE.
  • Hox, J. J., Moerbeek, M., & Van de Schoot, R. (2017). Multilevel analysis: Techniques and applications. Oxfordshire: Routledge.
  • Jeon, H.-M., Ali, F., & Lee, S.-W. (2019). Determinants of consumers’ intentions to use smartphones apps for flight ticket bookings. The Service Industries Journal, 39(5-6), 385–402.
  • Jonker, J., & Pennink, B. (2010). The essence of research methodology: A concise guide for master and PhD students in management science. New York City: Springer Science & Business Media.
  • Kamran, M. (2018). Current status and future success of renewable energy in Pakistan. Renewable and Sustainable Energy Reviews, 82, 609–617.
  • Khalid, B., Urbański, M., Kowalska-Sudyka, M., Wysłocka, E., & Piontek, B. (2021). Evaluating consumers’ adoption of renewable energy. Energies, 14(21), 7138.
  • Kock, F., Berbekova, A., & Assaf, A. G. (2021). Understanding and managing the threat of common method bias: Detection, prevention and control. Tourism Management, 86, 104330.
  • Lai, W. T., & Chen, C. F. (2011). Behavioral intentions of public transit passengers—The roles of service quality, perceived value, satisfaction and involvement. Transport Policy, 18, 318–325.
  • Lau, L.-S., Senadjki, A., Ching, S.-L., Choong, C.-K., Seow, A.-N., Choong, Y.-O., & Wei, C.-Y. (2021). Solar photovoltaic as a means to sustainable energy consumption in Malaysia: The role of knowledge and price value. Energy Sources, Part B: Economics, Planning, and Policy, 16(4), 303–323.
  • Liu, L., Zhang, M., & Ye, W. (2019). The adoption of sustainable practices: A supplier's perspective. Journal of Environmental Management, 232, 692–701.
  • McKenna, E., Pless, J., & Darby, S. J. (2018). Solar photovoltaic self-consumption in the UK residential sector: New estimates from a smart grid demonstration project. Energy Policy, 118, 482–491.
  • Mofleh, S., Wanous, M., & Strachan, P. (2008). The gap between citizens and e-government projects: The case for Jordan. Electronic Government, an International Journal, 5(3), 275–287.
  • Moorthy, K., Patwa, N., & Gupta, Y. (2019). Breaking barriers in deployment of renewable energy. Heliyon, 5(1), e01166.
  • Otieno, O. C., Liyala, S., Odongo, B. C., & Abeka, S. O. (2016). Theory of reasoned action as an underpinning to technological innovation adoption studies.
  • Rahi, S., Mansour, M. M. O., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing.
  • Rebane, K. L., & Barham, B. L. (2011). Knowledge and adoption of solar home systems in rural Nicaragua. Energy Policy, 39, 3064–3075.
  • Reffat, R. (2003). Developing a successful e-government. Paper presented at the Symposium on e-Government: Opportunities and Challenge. Retrieved from.
  • Rehman, M., Esichaikul, V., & Kamal, M. (2012). Factors influencing e-government adoption in Pakistan transforming Government. People, process and policy, 6(3), 258–282.
  • Rezaei, R., & Ghofranfarid, M. (2018). Rural households’ renewable energy usage intention in Iran: Extending the unified theory of acceptance and use of technology. Renewable Energy, 122, 382–391.
  • Ringle, C., Da Silva, D., & Bido, D. (2015). Structural equation modeling with the SmartPLS. Bido, D., da Silva, D., & Ringle, C. (2014). Structural Equation Modeling with the Smartpls. Brazilian Journal Of Marketing, 13(2).
  • Rogers. (2003). Diffusion of innovations. New York: Free press.
  • Sair, S. A., & Danish, R. Q. (2018). Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers. Pakistan Journal of Commerce and Social Sciences (PJCSS), 12(2), 501–520.
  • Sarstedt, M., & Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: A software review. New York City: Springer.
  • Segreto, M., Principe, L., Desormeaux, A., Torre, M., Tomassetti, L., Tratzi, P., … Petracchini, F. (2020). Trends in social acceptance of renewable energy across Europe-A literature review. International Journal of Environmental Research and Public Health, 17(24), 9161.
  • Shapiro, D., Hobdari, B., & Oh, C. H. (2018). Natural resources, multinational enterprises and sustainable development. (Vol. 53, pp. 1–14). Amsterdam: Elsevier.
  • Soeiro, S., & Dias, M. F. (2020). Community renewable energy: Benefits and drivers. Energy Reports, 6, 134–140.
  • Tabrizian, S. (2019). Technological innovation to achieve sustainable development-Renewable energy technologies diffusion in developing countries. Sustainable Development, 27(3), 537–544.
  • Van Dael, M., Lizin, S., Swinnen, G., & Van Passel, S. (2017). Young people’s acceptance of bioenergy and the influence of attitude strength on information provision. Renewable Energy, 107, 417–430.
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425–478.
  • Wan, C., Cheung, R., & Shen, G. Q. (2012). Recycling attitude and behaviour in university campus: A case study in Hong Kong. Facilities, 30(13/14), 630–646.
  • Weathington, B. L., Cunningham, C. J., & Pittenger, D. J. (2010). Research methods for the behavioral and social sciences.
  • Yaqub, J., Bello, H. T., Adenuga, I. A., & Ogundeji, M. O. (2013). The cashless policy in Nigeria: Prospects. International Journal of Humanities and Social Science, 3(3), 200–212.
  • Zeru, A. M., & Guta, D. D. (2021). Factors influencing household adoption of solar home system in baso liben district. Ethiopia: Amhara Regional State of Ethiopia.
  • Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2013). Business research methods. Boston: Cengage Learning.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.