Investigating The Factors Affecting The Adoption of Solar Energy: A Synthesis of TAM and TPB among Households
-
https://doi.org/10.14419/j64ps364
Received date: November 1, 2025
Accepted date: November 24, 2025
Published date: December 4, 2025
-
Solar Energy Adoption; Technology Acceptance Model (TAM); Theory of Planned Behavior (TPB); Behavioral Intention, Renewable Energy; Household Adoption -
Abstract
The demand of going green with green energy in the global context has risen the significance of household behavioral aspects towards utilization of solar energy. The infrastructural difficulties and behavioral obstacles have influenced the demand of sustainable energy alternatives. Residential areas are adopting solar energy systems as an unconventional energy source. To examine the effects behavioral and technological factors on the adoption of solar energy systems at the household level. In this research, the quantitative method was used and was based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). The model aimed at analyzing the extent to which Solar Perceived Usefulness (SPU), Perceived Ease of Use (PEU), Attitude (A), Subjective Norm (SN) and Perceived Behavioral Control (PBC) had significant effects on Behavioral Intention to Adopt Green Energy (BIAGE) and Use Behavior (UB) among households. SmartPLS was used to test the structural model utilizing the data which was gathered in households in the state of Bihar. The results of the empirical studies showed that the Attitude, Subjective Norm, and Perceived Behavioral Control had a strong impact on the Behavioral Intention that further influenced the Use Behavior. Furthermore, it was discovered that Perceived Ease of Use and Solar Perceived Usefulness positively and significantly affected Attitude and Behavioral Intention account 36.1 percent. The results support the integrative potentials of TAM and TPB in explaining the behavior intentions of adopting solar energy. Through the research work, a contribution has been made to the extant discourse on the energy shifts to sustainability, with the social influence, attitudinal positivity and perception and control of behavior all playing a composite role toward establishing the intent towards household adoption.
-
References
- Baum, C. M., & Gross, C. (2016). Sustainability policy as if people mattered: developing a framework for environmentally significant behavioral change. Journal of Bioeconomics, 19(1), 53–95. https://doi.org/10.1007/s10818-016-9238-3.
- Elkhatat, A., & Al-Muhtaseb, S. (2024). Climate Change and Energy Security: A Comparative Analysis of the Role of Energy Policies in Advancing Environmental Sustainability. Energies, 17(13), 3179. https://doi.org/10.3390/en17133179.
- Raihan, A., Sarker, T., & Zimon, G. (2024). An Investigation on the Prospects, Challenges and Policy Consequences of Renewable Energy Technol-ogy Development for India’s Environmental Sustainability. WSEAS Transactions on Environment and Development, 20, 365–390. https://doi.org/10.37394/232015.2024.20.35.
- Sovacool, B. K., Newell, P., Carley, S., & Fanzo, J. (2022). Equity, technological innovation and sustainable behaviour in a low-carbon future. Nature Human Behaviour, 6(3), 326–337. https://doi.org/10.1038/s41562-021-01257-8.
- Tao, D. (2009). Intention to use and actual use of electronic information resources: further exploring Technology Acceptance Model (TAM). PubMed, 2009, 629. https://pubmed.ncbi.nlm.nih.gov/20351931.
- Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412.
- Yadav, P., Davies, P. J., & Sarkodie, S. A. (2019). The prospects of decentralised solar energy home systems in rural communities: User experience, determinants, and impact of free solar power on the energy poverty cycle. Energy Strategy Reviews, 26, 100424. https://doi.org/10.1016/j.esr.2019.100424.
- Zaidan, E., Cochrane, L., & Belal, M. (2025). Adapting to change and transforming crisis into opportunity - Behavioral and policy shifts in sustainable practices post-pandemic. Heliyon, 11(10). https://doi.org/10.1016/j.heliyon.2025.e42046.
- Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook . Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7.
- Wall, W. P., Khalid, B., Urbański, M., & Kot, M. (2021). Factors influencing consumer’s adoption of renewable energy. Energies, 14(17). https://doi.org/10.3390/en14175420.
- Karakaya, E., & Sriwannawit, P. (2015). Barriers to the adoption of photovoltaic systems: The state of the art. Renewable and Sustainable Energy Re-views, 49, 60–66. https://doi.org/10.1016/j.rser.2015.04.058.
- Kyere, F., Dongying, S., Bampoe, G. D., Kumah, N. Y. G., & Asante, D. (2024). Decoding the shift: Assessing household energy transition and un-ravelling the reasons for resistance or adoption of solar photovoltaic. Technological Forecasting and Social Change, 198, 123030. https://doi.org/10.1016/j.techfore.2023.123030.
- Qureshi, T. M., Ullah, K., & Arentsen, M. J. (2017). Factors responsible for solar PV adoption at household level: A case of Lahore, Pakistan. Re-newable and Sustainable Energy Reviews, 78, 754–763. https://doi.org/10.1016/j.rser.2017.04.020.
- Muwanga, R., Namugenyi, I., Wabukala, B. M., Tibesigwa, W., & Katutsi, P. V. (2024). Examining social-cultural norms affecting the adoption of solar energy technologies at the household level. Cleaner Energy Systems, 9, 100164. https://doi.org/10.1016/j.cles.2024.100164.
- Poier, S. (2021). Towards a psychology of solar energy: Analyzing the effects of the Big Five personality traits on household solar energy adoption in Germany. Energy Research & Social Science, 77, 102087. https://doi.org/10.1016/j.erss.2021.102087
- Mperejekumana, P., Shen, L., Zhong, S., Gaballah, M. S., & Muhirwa, F. (2024). Exploring the potential of decentralized renewable energy conver-sion systems on water, energy, and food security in africa. Energy Conversion and Management, 315, 118757. https://doi.org/10.1016/j.enconman.2024.118757.
- Bazmi, A. A., & Zahedi, G. (2011). Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A re-view. Renewable and Sustainable Energy Reviews, 15(8), 3480–3500. https://doi.org/10.1016/j.rser.2011.05.003.
- Omer, A. M. (2007). Renewable energy resources for electricity generation in Sudan. Renewable and Sustainable Energy Reviews, 11(7), 1481–1497. https://doi.org/10.1016/j.rser.2005.12.001
- Awais, M., Fatima, T., & Awan, T. M. (2022). Assessing behavioral intentions of solar energy usage through value-belief-norm theory. Management of Environmental Quality: An International Journal, 33(6), 1329–1343. https://doi.org/10.1108/MEQ-09-2021-0227.
- Ukoba, K., Yoro, K. O., Eterigho-Ikelegbe, O., Ibegbulam, C., & Jen, T. C. (2024). Adaptation of solar energy in the Global South: Prospects, chal-lenges and opportunities. Heliyon, 10(7), 2405–8440. ASSET/09FC09A2-1E92-408B-B64C-FE3480B15AB9/MAIN.ASSETS/GR9.JPG https://doi.org/10.1016/j.heliyon.2024.e28009.
- Kapoor, K. K., & Dwivedi, Y. K. (2020). Sustainable consumption from the consumer’s perspective: Antecedents of solar innovation adoption. Re-sources, Conservation and Recycling, 152, 104501. https://doi.org/10.1016/j.resconrec.2019.104501
- Spaargaren, G. (2003). Sustainable consumption: A theoretical and environmental policy perspective. Society and Natural Resources, 16(8), 687–701. REQUESTEDJOURNAL:JOURNAL:USNR20;WGROUP:STRING:PUBLICATION https://doi.org/10.1080/08941920309192.
- De Pascali, P., & Bagaini, A. (2018). Energy Transition and Urban Planning for Local Development. A Critical Review of the Evolution of Integrated Spatial and Energy Planning. Energies, 12(1), 35. https://doi.org/10.3390/en12010035.
- Esfandi, S., Tayebi, S., Byrne, J., Taminiau, J., Giyahchi, G., & Alavi, S. A. (2024). Smart Cities and Urban Energy Planning: An Advanced Review of Promises and Challenges. Smart Cities, 7(1), 414–444. https://doi.org/10.3390/smartcities7010016.
- Zhou, K., & Yang, S. (2016). Understanding household energy consumption behavior: The contribution of energy big data analytics. Renewable and Sustainable Energy Reviews, 56, 810–819. https://doi.org/10.1016/j.rser.2015.12.001.
- Elmustapha, H., Hoppe, T., & Bressers, H. (2018). Understanding Stakeholders’ Views and the Influence of the Socio-Cultural Dimension on the Adoption of Solar Energy Technology in Lebanon. Sustainability, 10(2), 364. https://doi.org/10.3390/su10020364.
- Maqbool, R., & Akubo, S. A. (2022). Solar energy for sustainability in Africa: The challenges of socio-economic factors and technical complexities. In International Journal of Energy Research (Vol. 46, Issue 12, pp. 16336–16354). John Wiley and Sons Ltd. https://doi.org/10.1002/er.8425.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Infor-mation Systems, 13(3), 319–339. https://doi.org/10.2307/249008
- Conner, M. (2001). Health Behaviors. International Encyclopedia of the Social & Behavioral Sciences, 6506–6512. https://doi.org/10.1016/B0-08-043076-7/03871-7.
- Fazal, S. A., Hayat, N., & Al Mamun, A. (2023). Renewable Energy and Sustainable Development—Investigating Intention and Consumption among Low-Income Households in an Emerging Economy. Sustainability, 15(21), 15387. https://doi.org/10.3390/su152115387
- Katoch, R., & A Rana. (2023). Online spiritual meets (OSMs) and user behavior–A divine application of technology during COVID-19 https://www.sciencedirect.com/science/article/pii/S074756322200334X. https://doi.org/10.1016/j.chb.2022.107514
- Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & Management, 42(2), 317–327. https://doi.org/10.1016/j.im.2003.12.013.
- Saadé, R. G. (2007). Dimensions of Perceived Usefulness: Toward Enhanced Assessment. Decision Sciences Journal of Innovative Education, 5(2), 289–310. https://doi.org/10.1111/j.1540-4609.2007.00142.x.
- Asif, M. H., Zhongfu, T., Dilanchiev, A., Irfan, M., Eyvazov, E., & Ahmad, B. (2023). Determining the influencing factors of consumers’ attitude to-ward renewable energy adoption in developing countries: a roadmap toward environmental sustainability and green energy technologies. Environmen-tal Science and Pollution Research, 30(16), 47861–47872. https://doi.org/10.1007/s11356-023-25662-w
- Baharoon, D. A., Rahman, H. A., & Fadhl, S. O. (2016). Publics׳ knowledge, attitudes and behavioral toward the use of solar energy in Yemen power sector. Renewable and Sustainable Energy Reviews, 60, 498–515. https://doi.org/10.1016/j.rser.2015.12.110.
- Elmustapha, H., Hoppe, T., & H Bressers. (2018). Consumer renewable energy technology adoption decision-making; comparing models on per-ceived attributes and attitudinal constructs in the case of solar water. Journal of Cleaner Production. https://www.sciencedirect.com/science/article/pii/S0959652617323478. https://doi.org/10.1016/j.jclepro.2017.10.131.
- Faiers, A., & Neame, C. (2006). Consumer attitudes towards domestic solar power systems. Energy Policy, 34(14), 1797–1806. https://doi.org/10.1016/j.enpol.2005.01.001.
- Kim, H., Park, E., Kwon, S. J., Ohm, J. Y., & Chang, H. J. (2014). An integrated adoption model of solar energy technologies in South Korea. Re-newable Energy, 66, 523–531. https://doi.org/10.1016/j.renene.2013.12.022
- Muwanga, R., Ssekakubo, J., Nalweyiso, G., Aarakit, S., & Kusasira, S. (2024). Do all forms of public attitudes matter for behavioural intentions to adopt solar energy technologies (SET) amongst households? Technological Sustainability, 3(1), 96–112. https://doi.org/10.1108/TECHS-08-2023-0031
- Zulu, S., Zulu, E., & Chabala, M. (2022). Factors influencing households’ intention to adopt solar energy solutions in Zambia: insights from the theory of planned behaviour. Smart and Sustainable Built Environment, 11(4), 951–971. https://doi.org/10.1108/SASBE-01-2021-0008.
- Gao, R., Zhang, H., Gong, C., & Wu, Z. (2022). The role of farmers’ green values in creation of green innovative intention and green technology adoption behavior: Evidence from farmers grain green production. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.980570.
- Wang, X., Wang, Z., & Li, Y. (2022). Internet Use on Closing Intention–Behavior Gap in Green Consumption—A Mediation and Moderation Theo-retical Model. International Journal of Environmental Research and Public Health, 20(1), 365. https://doi.org/10.3390/ijerph20010365.
- Dadhich, M., Rathore, S., Gyamfi, B. A., Ajibade, S. S. M., & Agozie, D. Q. (2023). Quantifying the Dynamic Factors Influencing New-Age Users’ Adoption of 5G Using TAM and UTAUT Models in Emerging Country: A Multistage PLS-SEM Approach. Education Research International, 2023. https://doi.org/10.1155/2023/5452563.
- HARC. (2024). Understanding the Impacts and Barriers of Solar Adoption - Houston Advanced Research Center : Houston Advanced Research Cen-ter. https://harcresearch.org/news/understanding-the-impacts-and-barriers-of-solar-adoption-a-path-to-equitable-energy-transition/.
- Kim, Y. J., Chun, J. U., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. Interna-tional Journal of Information Management, 29(1), 67. https://doi.org/10.1016/j.ijinfomgt.2008.01.011.
- Au, A. K., & Enderwick, P. (2000). A cognitive model on attitude towards technology adoption. Journal of Managerial Psychology, 15(4), 266. https://doi.org/10.1108/02683940010330957
- Edison, S. W., & Geissler, G. L. (2003). Measuring attitudes towards general technology: Antecedents, hypotheses and scale development. Journal of Targeting Measurement and Analysis for Marketing, 12(2), 137. https://doi.org/10.1057/palgrave.jt.5740104
- Tavares, J., Goulão, A. P. B. A., & Oliveira, T. (2017). Electronic Health Record Portals adoption: Empirical model based on UTAUT2. Informatics for Health and Social Care, 43(2), 109. https://doi.org/10.1080/17538157.2017.1363759
- Liobikienė, G., Dagiliūtė, R., & Juknys, R. (2021). The determinants of renewable energy usage intentions using theory of planned behaviour ap-proach. Renewable Energy, 170, 587–594. https://doi.org/10.1016/j.renene.2021.01.152
- Ajzen. (1991). The theory of planned behavior. Elsevier. https://www.sciencedirect.com/science/article/pii/074959789190020T.
- Adnan, N. (2024). Powering up minds: Exploring consumer responses to home energy efficiency. Energy Reports, 11, 2316. https://doi.org/10.1016/j.egyr.2024.01.048.
- Camilleri, M. A., Cricelli, L., Mauriello, R., & Strazzullo, S. (2023). Consumer Perceptions of Sustainable Products: A Systematic Literature Re-view. Sustainability, 15(11), 8923. https://doi.org/10.3390/su15118923
- Chauhan, V., & Bhagat, R. (2018). Analysing Green Purchasing Behaviour through Subjective Norms and Perceived Behaviour Control. MAN-THAN Journal of Commerce and Management, 5(1). https://doi.org/10.17492/manthan.v5i01.13044
- Nguyen, L. T., Nguyen, H. T., Ngoc, H. N., Dai, L. N., Nguyen, T. T. D., & LE, L. D. (2023). Determinants of green consumer behavior: A case study from Vietnam. Cogent Business & Management, 10(1). https://doi.org/10.1080/23311975.2023.2197673
- Wang, C., Ahmad, S. F., Ahmad, A. Y. A. B., Awwad, E. M., Irshad, M., Ali, Y. A., Al‐Razgan, M., Khan, Y., & Han, H. (2023). An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce. Heliyon, 9(8). https://doi.org/10.1016/j.heliyon.2023.e18349.
- Xu, Y., Du, J., Khan, M. A. S., Jin, S., Altaf, M., Anwar, F., & Sharif, M. I. (2022). Effects of Subjective Norms and Environmental Mechanism on Green Purchase Behavior: An Extended Model of Theory of Planned Behavior. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.779629.
- Zahari, A. R., & Esa, E. (2018). Drivers and inhibitors adopting renewable energy: an empirical study in Malaysia. International Journal of Energy Sector Management, 12(4), 581. https://doi.org/10.1108/IJESM-02-2017-0004
- Fang, X., Wang, L., Sun, C., Zheng, X., & Wei, J. (2021). Gap between words and actions: Empirical study on consistency of residents supporting renewable energy development in China. Energy Policy, 148, 111945. https://doi.org/10.1016/j.enpol.2020.111945.
- Li, B., Ding, J., Wang, J., Zhang, B., & Zhang, L. (2021). Key factors affecting the adoption willingness, behavior, and willingness-behavior con-sistency of farmers regarding photovoltaic agriculture in China. Energy Policy, 149, 112101. https://doi.org/10.1016/j.enpol.2020.112101
- Lundheim, S. H., Vesely, S., Nayum, A., & Klöckner, C. A. (2021). From vague interest to strong intentions to install solar panels on private homes in the North – An analysis of psychological drivers. Renewable Energy, 165, 455–463. https://doi.org/10.1016/j.renene.2020.11.034.
- Hair, J. F., Babin, B. J., & Krey, N. (2017). Covariance-based structural equation modeling in the Journal of Advertising: Review and recommenda-tions. Journal of Advertising, 46(3), 454. https://doi.org/10.1080/00913367.2017.1329496.
- Richards, J. A., & Johnson, M. P. (2014). A Case for Theoretical Integration. SAGE Open, 4(2). https://doi.org/10.1177/2158244014534830.
- Smith, J., & Doe, J. (2025). Perceived Behavioral Control. https://www.sciencedirect.com/topics/psychology/perceived-behavioral-control.
- Wang, X., Xiong, Y., Yang, R., & Yu, P. (2019). Social psychological predictors of adoption intention for solar water heaters in rural China. Social Behavior and Personality an International Journal, 47(12), 1. https://doi.org/10.2224/sbp.8549.
- Reed, A. H. (2011). Quest for spiritual community: Reclaiming spiritual guidance for contemporary congregations. Bloomsbury Publishing. http://qut.eblib.com.au/patron/FullRecord.aspx?p=661053.
- Fornell, C., & DF Larcker. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
- Menon, P., & Sadasivan, A. (2019). A vignette of spiritual intelligence and transformational leadership. International Journal of Innovative Technology and Exploring Engineering, 8(10), 2529–2534. https://doi.org/10.35940/ijitee.J1240.0881019.
- James, Sarah., & Lahti, T. (2004). The natural step for communities : how cities and towns can change to sustainable practices. https://books.google.com/books/about/The_Natural_Step_for_Communities.html?id=eXBnB9wBBgYC.
- John E. Carroll. (2012). Sustainability and Spirituality. https://books.google.co.in/books?hl=en&lr=&id=_yJm8q5ypZMC&oi=fnd&pg=PR1&dq=Spiritually+inclined+people+actively+engage+in+environmen-tal+initiatives+like+cleanliness+drives+and+tree+planting.&ots=1aXIXih0Bd&sig=n3Ua35pwtw064hGJvZJbsxbnQ_s&redir_esc=y#v=onepage&q&f=false.
- Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective . Journal of Management In-formation Systems, 18(1), 185–214. https://doi.org/10.1080/07421222.2001.11045669.
- Csutora, M., & Zsóka, Á. (2013). May spirituality lead to reduced ecological footprint? Conceptual framework and empirical analysis. World Review of Entrepreneurship Management and Sustainable Development, 10(1), 88. https://doi.org/10.1504/WREMSD.2014.058056.
- Gupta, K., Agrawal, R., & Sharma, V. (2016). Sustainability from the lenses of spirituality: a new perspective. International Journal of Intelligent En-terprise, 3, 297. https://doi.org/10.1504/IJIE.2016.078633.
- HUITT, B. (2019). Spiritual Development : Meaning and Purpose. https://www.academia.edu/64982838/Spiritual_Development_Meaning_and_Purpose.
- King, R. (2005). Mysticism and spirituality. In Routledge eBooks (p. 318). Informa. https://doi.org/10.4324/9780203412695-24.
- Omoyajowo, K., Danjin, M., Omoyajowo, K., Odipe, O. E., Makengo, B. M., May, A., Ogunyebi, A., & Rabie, M. (2023). Exploring the interplay of environmental conservation within spirituality and multicultural perspective: insights from a cross-sectional study. Environment Development and Sustainability, 26(7), 16957. https://doi.org/10.1007/s10668-023-03319-5.
- Malik, S. A., & Ayop, A. R. (2020). Solar energy technology: Knowledge, awareness, and acceptance of B40 households in one district of Malaysia towards government initiatives. Technology in Society, 63, 101416. https://doi.org/10.1016/j.techsoc.2020.101416.
- Fatoki, O. (2022). Determinants of Intention to Purchase Photovoltaic Panel System: An Integration of Technology Acceptance Model and Theory of Planned Behaviour. International Journal of Energy Economics and Policy, 12(3), 432–440. https://doi.org/10.32479/ijeep.12931.
- Peprah, J. A., Brako, S., & Akosah, N. B. (2018). The Awareness Level of Green Procurement at the District Assemblies in Western Region in Gha-na. Journal of Management and Sustainability, 8(1), p46. https://doi.org/10.5539/jms.v8n1p46.
- Guven, G., & Sulun, Y. (2017). Pre-service teachers’ knowledge and awareness about renewable energy. In Renewable and Sustainable Energy Re-views (Vol. 80, pp. 663–668). Elsevier Ltd. https://doi.org/10.1016/j.rser.2017.05.286
- KA Gafoor. (2012). Considerations in the Measurement of Awareness.NANo ranking found for “Human Rights Documents online.” ERICKA , 2. https://doi.org/10.1163/2210-7975_HRD-9902-0156
- Chan, E. S. W., Hon, A. H. Y., Chan, W., & Okumus, F. (2014). What drives employees’ intentions to implement green practices in hotels? The role of knowledge, awareness, concern and ecological behaviour. International Journal of Hospitality Management, 40, 20–28. https://doi.org/10.1016/j.ijhm.2014.03.001.
- 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. https://doi.org/10.1016/j.renene.2018.02.011
- Aziz, N., Wahid, N., & MA Sallam. (2018). Factors influencing Malaysian consumers’ intention to purchase green energy: the case of solar pan-elNANo ranking found for “International Journal of Academic Research in Business and Social Sciences.” Global Business and Management Re-search, 8(7). https://doi.org/10.6007/IJARBSS/v8-i7/4413.
- Alam, S., Omar, N., & AM Ariffin. (2018). Integrating TPB, TAM and DOI theories: An empirical evidence for the adoption of mobile banking among customers in Klang Valley, MalaysiaQ4International Journal of Business and Management Science; H-Index: 10 SJR: Q4 CORE: NA AJG: NA ABDC: NA FT50: NA. International Journal of Business and Management Science. https://www.researchgate.net/profile/Nor-Asiah-Omar/publication/331501885_Integrating_TPB_TAM_and_DOI_theories_An_empirical_evidence_for_the_adoption_of_mobile_banking_among_customers_in_Klang_valley_Malaysia/links/5fc9ba6b92851c00f84cd511/Integrating-TPB-TAM-and-DOI-theories-An-empirical-evidence-for-the-adoption-of-mobile-banking-among-customers-in-Klang-valley-Malaysia.pdf.
- Ashinze, P., Tian, J., Ashinze, P., Nazir, M., & I Shaheen. (2021). A multidimensional model of sustainable renewable energy linking purchase inten-tions, attitude and user behavior in Nigeria. Sustainability. https://www.mdpi.com/2071-1050/13/19/10576. https://doi.org/10.3390/su131910576
- Godoe, P., & Johansen, T. S. (2012). Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept. Journal of European Psychology Students, 3, 38. https://doi.org/10.5334/jeps.aq
- Zeng, S., Tanveer, A., Fu, X., Gu, Y., & Irfan, M. (2022). Modeling the influence of critical factors on the adoption of green energy technologies. Re-newable and Sustainable Energy Reviews, 168, 112817. https://doi.org/10.1016/j.rser.2022.112817.
- Fares, R. L., & Webber, M. E. (2017). The impacts of storing solar energy in the home to reduce reliance on the utility. Nature Energy, 2(2), 1–10. https://doi.org/10.1038/nenergy.2017.1
- Stern, P. C. (2014). Individual and household interactions with energy systems: Toward integrated understanding. Energy Research & Social Science, 1, 41–48. https://doi.org/10.1016/j.erss.2014.03.003.
- Dekoninck, H., & Schmuck, D. (2022). The Mobilizing Power of Influencers for Pro-Environmental Behavior Intentions and Political Participation. Environmental Communication, 16(4), 458–472. https://doi.org/10.1080/17524032.2022.2027801
- Schmuck, D. (2021). Social Media Influencers and Environmental Communication. The Handbook of International Trends in Environmental Com-munication, 373–387. https://doi.org/10.4324/9780367275204-27.
- A Borawska. (2017). The role of public awareness campaigns in sustainable developmentNANo ranking found for “Economic and Environmental Studies.” Economic and Environmental Studies, 17(44), 865–877. https://doi.org/10.25167/ees.2017.44.14.
- Akpahou, R., Mensah, L. D., & Quansah, D. A. (2023). Renewable energy in Benin: current situation and future prospects. Clean Energy, 7(5), 952–961. https://doi.org/10.1093/ce/zkad039.
- Diaconescu, M., Marinas, L. E., Marinoiu, A. M., Popescu, M. F., & Diaconescu, M. (2024). Towards Renewable Energy Transition: Insights from Bibliometric Analysis on Scholar Discourse to Policy Actions. Energies, 17(18), 4719. https://doi.org/10.3390/en17184719
- Kabir, E., Kumar, P., Kumar, S., Adelodun, A. A., & Kim, K. (2017). Solar energy: Potential and future prospects. Renewable and Sustainable Ener-gy Reviews, 82, 894. https://doi.org/10.1016/j.rser.2017.09.094.
- Boulanger, S. O. M., Massari, M., Longo, D., Turillazzi, B., & Nucci, C. A. (2021). Designing Collaborative Energy Communities: A European Overview. Energies, 14(24), 8226. https://doi.org/10.3390/en14248226.
- Mlinarič M, Kovač N, Barnes J, & Bocken N. (2019). Typology of new clean energy communities. Deliverable D2. https://www.academia.edu/download/96521648/D2_2_newcomers_typology_of_new_clean_energy_communities.pdf.
- Avwioroko, A., & C Ibegbulam. (2024). Contribution of consulting firms to renewable energy adoption. International Journal of Physical Sciences Research. https://www.researchgate.net/profile/Afor-Avwioro-ko/publication/387893661_Citation_Avwioroko_A_and_Ibegbulam_C_2024_Contribution_of_Consulting_Firms_to_Renewable_Energy_Adoption/links/6780efc918ad70589ea7ced6/Citation-Avwioroko-A-and-Ibegbulam-C-2024-Contribution-of-Consulting-Firms-to-Renewable-Energy-Adoption.pdf.
- Kjeang, A. E., Venkatesh, G., Ståhl, M., & Palm, J. (2017). Energy consulting services in the information age - literature review. Energy, Sustainabil-ity and Society, 7(1), 1–10. https://doi.org/10.1186/s13705-017-0132-1.
- Lai, K. H., Cheng, T. C. E., & Tang, A. K. Y. (2010). Green retailing: Factors for success. California Management Review, 52(2), 6–31. https://doi.org/10.1525/cmr.2010.52.2.6.
- Bang, H. K., Ellinger, A. E., Hadjimarcou, J., & Traichal, P. A. (2000). Consumer concern, knowledge, belief, and attitude toward renewable energy: An application of the reasoned action theory. Psychology & Marketing, 17(6), 449–468. https://doi.org/10.1002/(SICI)1520-6793(200006)17:6<449::AID-MAR2>3.0.CO;2-8.
- Bouaguel, W., & Alsulimani, T. (2022). Understanding the Factors Influencing Consumers’ Intention toward Shifting to Solar Energy Technology for Residential Use in Saudi Arabia Using the Technology Acceptance Model. Sustainability, 14(18), 11356. https://doi.org/10.3390/su141811356.
- Díaz, S., Settele, J., Brondízio, E. S., Ngo, H. T., Agard, J., Arneth, A., Balvanera, P., Brauman, K. A., Butchart, S. H. M., Chan, K. M. A., Lucas, A. G., Ichii, K., Liu, J., Subramanian, S. M., Midgley, G. F., Miloslavich, P., Molnár, Z., Obura, D., Pfaff, A., … Zayas, C. N. (2019). Pervasive human-driven decline of life on Earth points to the need for transformative change. Science, 366(6471). https://doi.org/10.1126/science.aax3100.
- IPCC. (2022). IPCC III: ird Assessment Report. Summary for Policymakers - Google Scholar. https://scholar.google.com/scholar_lookup?title=Summary%20for%20policymakers&author=IPCC&publication_year=2022.
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Springer, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8.
- Flaksman, A. S., Mozgovoy, A., Lopatkin, D. S., Dikikh, V. A., Shamsov, I. S., Romanova, J. A., Morkovkin, D., & Bovtrikova, E. (2021). Prospects for the development of alternative energy sources in the world energy. IOP Conference Series Earth and Environmental Science, 723(5), 52040. https://doi.org/10.1088/1755-1315/723/5/052040
- Gyimah, J., Nyantakyi, G., & Hayford, I. S. (2024). The effect of renewable energy on carbon emissions through globalization. Heliyon, 10(5). https://doi.org/10.1016/j.heliyon.2024.e26894.
- Cole, W. J., Greer, D., Denholm, P., Frazier, A. W., Machen, S., Mai, T., Vincent, N., & Baldwin, S. F. (2021). Quantifying the challenge of reaching a 100% renewable energy power system for the United States. Joule, 5(7), 1732–1748. https://doi.org/10.1016/j.joule.2021.05.011.
- Feldman, D., Dummit, K., Zuboy, J., Heeter, J., & Xu, K. (2022). Winter 2021/2022 solar industry update. https://www.osti.gov/biblio/1843833.
- EIA. (2022). EIA projects that renewable generation will supply 44% of U.S. electricity by 2050 - U.S. Energy Information Administration (EIA). https://www.eia.gov/todayinenergy/detail.php?id=51698.
- Tawalbeh, M., Al-Othman, A., Kafiah, F., Abdelsalam, E., Almomani, F., & Alkasrawi, M. (2021). Environmental impacts of solar photovoltaic sys-tems: A critical review of recent progress and future outlook. Science of The Total Environment, 759, 143528. https://doi.org/10.1016/j.scitotenv.2020.143528.
- Hastik, R., Basso, S., Geitner, C., Haida, C., Poljanec, A., Portaccio, A., Vrščaj, B., & Walzer, C. (2015). Renewable energies and ecosystem service impacts. Renewable and Sustainable Energy Reviews, 48, 608–623. https://doi.org/10.1016/j.rser.2015.04.004
- Panwar, N. L., Kaushik, S. C., & Kothari, S. (2011). Role of renewable energy sources in environmental protection: A review. Renewable and Sus-tainable Energy Reviews, 15(3), 1513–1524. https://doi.org/10.1016/j.rser.2010.11.037.
- Sayed, E. T., Wilberforce, T., Elsaid, K., Rabaia, M. K. H., Abdelkareem, M. A., Chae, K. J., & Olabi, A. G. (2021). A critical review on environ-mental impacts of renewable energy systems and mitigation strategies: Wind, hydro, biomass and geothermal. Science of The Total Environment, 766, 144505. https://doi.org/10.1016/j.scitotenv.2020.144505.
- Yavari, R., Zaliwciw, D., Cibin, R., & McPhillips, L. (2022). Minimizing environmental impacts of solar farms: a review of current science on land-scape hydrology and guidance on stormwater management. Environmental Research: Infrastructure and Sustainability, 2(3), 032002. https://doi.org/10.1088/2634-4505/ac76dd
- Barron-Gafford, G. A., Minor, R. L., Allen, N. A., Cronin, A. D., Brooks, A. E., & Pavao-Zuckerman, M. A. (2016). The photovoltaic heat island effect: Larger solar power plants increase local temperatures. Scientific Reports, 6(1), 1–7. https://doi.org/10.1038/srep35070
- Gunawardena, K. R., Wells, M. J., & Kershaw, T. (2017). Utilising green and bluespace to mitigate urban heat island intensity. Science of The Total Environment, 584–585, 1040–1055. https://doi.org/10.1016/j.scitotenv.2017.01.158.
- Visser, E., Perold, V., Ralston-Paton, S., Cardenal, A. C., & Ryan, P. G. (2019). Assessing the impacts of a utility-scale photovoltaic solar energy facil-ity on birds in the Northern Cape, South Africa. Renewable Energy, 133, 1285–1294. https://doi.org/10.1016/j.renene.2018.08.106
- Diffendorfer, J. E., Sergi, B., Lopez, A., Williams, T., Gleason, M., Ancona, Z., & Cole, W. (2024). The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US. Science of The Total Environment, 947, 173872. https://doi.org/10.1016/j.scitotenv.2024.173872.
- Moore-O’Leary, K. A., Hernandez, R. R., Johnston, D. S., Abella, S. R., Tanner, K. E., Swanson, A. C., Kreitler, J., & Lovich, J. E. (2017). Sustain-ability of utility-scale solar energy – critical ecological concepts. Frontiers in Ecology and the Environment, 15(7), 385–394. https://doi.org/10.1002/fee.1517
- Lupp, G., Steinhäußer, R., Starick, A., Gies, M., Bastian, O., & Albrecht, J. (2014). Forcing Germany’s renewable energy targets by increased energy crop production: A challenge for regulation to secure sustainable land use practices. Land Use Policy, 36, 296–306. https://doi.org/10.1016/j.landusepol.2013.08.012
- Ponitka, J., & Boettner, S. (2020). Challenges of future energy landscapes in Germany - A nature conservation perspective. Energy, Sustainability and Society, 10(1), 1–11. https://doi.org/10.1186/s13705-020-00250-9
- Vincent Ugochukwu Oguanobi, & Oloruntosin Tolulope Joel. (2024). Geoscientific research’s influence on renewable energy policies and ecological balancing. Open Access Research Journal of Multidisciplinary Studies, 7(2), 073–085. https://doi.org/10.53022/oarjms.2024.7.2.0027.
- Macknick, J., Beatty, B., & Hill, G. (2013). Overview of Opportunities for Co-Location of Solar Energy Technologies and Vegetation. https://doi.org/10.2172/1115798.
- Walston, L. J., Li, Y., Hartmann, H. M., Macknick, J., Hanson, A., Nootenboom, C., Lonsdorf, E., & Hellmann, J. (2021). Modeling the ecosystem services of native vegetation management practices at solar energy facilities in the Midwestern United States. Ecosystem Services, 47, 101227. https://doi.org/10.1016/j.ecoser.2020.101227.
- Tölgyesi, C., Bátori, Z., Pascarella, J., Erdős, L., Török, P., Batáry, P., Birkhofer, K., Scherer, L., Michalko, R., Košulič, O., Zaller, J. G., & Gallé, R. (2023). Ecovoltaics: Framework and future research directions to reconcile land-based solar power development with ecosystem conservation. Biolog-ical Conservation, 285, 110242. https://doi.org/10.1016/j.biocon.2023.110242.
- RB Kline. (2018). Assessing statistical aspects of test fairness with structural equation modelling. Fairness Issues in Educational, 19(2–3), 204–222. https://doi.org/10.1080/13803611.2013.767624
- Hassan, Q., Viktor, P., J. Al-Musawi, T., Mahmood Ali, B., Algburi, S., Alzoubi, H. M., Khudhair Al-Jiboory, A., Zuhair Sameen, A., Salman, H. M., & Jaszczur, M. (2024). The renewable energy role in the global energy Transformations. Renewable Energy Focus , 48. https://doi.org/10.1016/j.ref.2024.100545.
- Hernandez, R. R., Easter, S. B., Murphy-Mariscal, M. L., Maestre, F. T., Tavassoli, M., Allen, E. B., Barrows, C. W., Belnap, J., Ochoa-Hueso, R., Ravi, S., & Allen, M. F. (2014). Environmental impacts of utility-scale solar energy. Renewable and Sustainable Energy Reviews, 29, 766–779. https://doi.org/10.1016/j.rser.2013.08.041.
- Randle-Boggis, R. J., White, P. C. L., Cruz, J., Parker, G., Montag, H., Scurlock, J. M. O., & Armstrong, A. (2020). Realising co-benefits for natural capital and ecosystem services from solar parks: A co-developed, evidence-based approach. Renewable and Sustainable Energy Reviews, 125, 109775. https://doi.org/10.1016/j.rser.2020.109775.
- Schorr, A. (2023). The Technology Acceptance Model (TAM) and its Importance for Digitalization Research: A Review [Review of The Technology Acceptance Model (TAM) and its Importance for Digitalization Research: A Review]. Sciendo eBooks, 55. Sciendo. https://doi.org/10.2478/9788366675896-005.
- Shareef, M. A., Kumar, V., Kumar, U., & Hasin, A. A. (2013). Application of Behavioral Theory in Predicting Consumers Adoption Behavior. Jour-nal of Information Technology Research, 6(4), 36. https://doi.org/10.4018/jitr.2013100103.
- Ajzen, I., & Fishbein, M. (1973). Attitudinal and normative variables as predictors of specific behavior. Journal of Personality and Social Psychology, 27(1), 41–57. https://doi.org/10.1037/h0034440.
- Montano, D., & D Kasprzyk. (2015). Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. Books.Google.Com. https://books.google.com/books?hl=en&lr=&id=9BQWCgAAQBAJ&oi=fnd&pg=PA95&dq=Theory+of+reasoned+action,+theory+of+planned+behavior,+and+the+integrated+behavioral+model&ots=efLb1iwNe-&sig=SifLM3SBzBX7vKV02pgMj1Jn5jo
- Fatima, N., Li, Y., Li, X., Abbas, W., Jabeen, G., Zahra, T., Işık, C., Ahmed, N., Ahmad, M., & Yasir, A. (2022). Households’ Perception and Envi-ronmentally Friendly Technology Adoption: Implications for Energy Efficiency. Frontiers in Energy Research, 10, 830286. https://doi.org/10.3389/fenrg.2022.830286.
- Bhattacherjee, A., & Lin, C. P. (2015). A unified model of IT continuance: Three complementary perspectives and crossover effects. European Journal of Information Systems, 24(4), 364–373. https://doi.org/10.1057/ejis.2013.36.
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarter-ly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540.
- Mitter, H., Larcher, M., Schönhart, M., Stöttinger, M., & Schmid, E. (2019). Exploring Farmers’ Climate Change Perceptions and Adaptation Inten-tions: Empirical Evidence from Austria. Environmental Management, 63(6), 804–821. https://doi.org/10.1007/s00267-019-01158-7.
- Dezdar, S. (2017). Green information technology adoption: Influencing factors and extension of theory of planned behavior. Social Responsibility Journal, 13(2), 292–306. https://doi.org/10.1108/SRJ-05-2016-0064.
- Kumar, A., King, T., & Ranta, M. (2024). Corporate governance characteristics and involvement in ESG activities: Current trends and research direc-tions. Corporate Governance (Bingley), 24(8), 175–209. https://doi.org/10.1108/CG-09-2023-0397
- IEA, “World Energy Outlook 2023 – Analysis - IEA.” Available: https://www.iea.org/reports/world-energy-outlook-2023.
- UNDP, “UNITED NATIONS DEVELOPMENT PROGRAMME,” 2022.
- Energetica India. (2025). Bihar unveils renewable energy policy 2025, targets 24 GW of RE and 6.1 GWh of ESS by 2030. Energetica India Maga-zine. Retrieved from https://www.energetica-india.net/news/bihar-unveils-renewable-energy-policy-2025-targets-24-gw-of-re-and-6-1-gwh-of-ess-by-2030 Energetica India.
- Mongabay-India. (2021, December 20). To boost its slow progress on clean energy, Bihar looks at floating and rooftop solar alternatives. Mongabay-India. Retrieved from https://india.mongabay.com/2021/12/to-boost-its-slow-progress-on-clean-energy-bihar-looks-at-floating-and-rooftop-solar-alternatives/.
- Benbasat, I., & Barki, H. (2007). Quo vadis TAM? Journal of the Association for Information Systems, 8(4), 211–218. https://doi.org/10.17705/1jais.00126.
- Sachdeva, C., Dubey, S., Gangwar, V.P., Bansal, R., Aziz, A.L., Propheto, A., 2025. Technology adoption and energy conservation: A bibliometric and systematic literature review approach. Taylor & Francis 11. https://doi.org/10.1080/27658511.2025.2551988
- Sniehotta, F. F., Presseau, J., & Araújo-Soares, V. (2014). Time to retire the theory of planned behaviour. Health Psychology Review, 9(2), 113–135. https://doi.org/10.1080/17437199.2015.1022902.
- Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202.
-
Downloads
-
How to Cite
Dubey, S., Kirti, Katoch, R., Rehman , M. ., & Kaur , P. . (2025). Investigating The Factors Affecting The Adoption of Solar Energy: A Synthesis of TAM and TPB among Households. International Journal of Accounting and Economics Studies, 12(8), 96-108. https://doi.org/10.14419/j64ps364
