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Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach

Author

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  • Saqib Ali

    (Department of Management Sciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan)

  • Petra Poulova

    (Department of Informatics and Quantitative Methods, Faculty of Informatics and Management, University of Hradec Kralove, 500 03 Hradec Kralove, Czech Republic)

  • Ahsan Akbar

    (International Business School, Guangzhou College of South China University of Technology, Guangzhou 510080, China)

  • Hafiz Muhammad Usama Javed

    (Department of Management Sciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan)

  • Muhammad Danish

    (Department of Management Sciences, University of Lahore, Sargodha Campus, Sargodha 40100, Pakistan)

Abstract

Accelerating demand for energy and its consumption has become a credible threat to the sustainable ecosystem due to the exploitation of scarce natural resources and environmental hazards. The adoption of renewable energy sources for sustainable development has been gaining traction among researchers and practitioners alike. Considering its hot climate, Pakistan has a huge potential to meet its energy requirements by tapping into renewable energy resources, especially through the use of solar photovoltaic (SPV) technologies. However, the adoption rate of this technology remains still quite scant among consumers. In this regard, the present research explores the factors that affect households’ purchase intention of SPV technology in Pakistan. The study has developed a comprehensive research framework by decomposing the technology acceptance model (DTAM) into second-order sub-constructs. Afterward, Structural equation modeling (SEM) was employed to analyze the data by decomposing perceived usefulness (PU) into social, economic, and environmental usefulness and perceived ease of use (PEOU) into discomfort and insecurity and to assess their cumulative effects on consumer attitude. Moreover, the moderating role of policy and propaganda was also investigated. Empirical results assert that PU and PEOU positively and significantly shape the consumer attitude toward SPV adoption. Subsequently, consumer attitude has a positive and significant impact on the actual purchase intention of SPV technology. Furthermore, the moderating role of governmental policy and propaganda between the consumer attitude and actual purchase intention was also confirmed. The policy implications of these results are discussed. Finally, the limitations and future directions of the research are also elaborated.

Suggested Citation

  • Saqib Ali & Petra Poulova & Ahsan Akbar & Hafiz Muhammad Usama Javed & Muhammad Danish, 2020. "Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach," Economies, MDPI, vol. 8(4), pages 1-20, December.
    • Handle: RePEc:gam:jecomi:v:8:y:2020:i:4:p:108-:d:459137
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    10. Arifa Tanveer & Shihong Zeng & Muhammad Irfan & Rui Peng, 2021. "Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior," Energies, MDPI, vol. 14(16), pages 1-24, August.
    11. Nuortimo, Kalle & Harkonen, Janne & Breznik, Kristijan, 2024. "Global, regional, and local acceptance of solar power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    12. Bilal Ahmed & Minhas Akbar & Tanazza Sabahat & Saqib Ali & Ammar Hussain & Ahsan Akbar & Xie Hongming, 2020. "Does Firm Life Cycle Impact Corporate Investment Efficiency?," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
    13. Ganiyu, M. O. & Raufu, M. O. & Agbogunleri, O.W & Miftaudeen-Rauf, A.A & Orisakwe, E. U., 2024. "Determinants of Farm Household’s Willingness to Adopt Solar Energy Resource in Rural Oyo State, Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(9), pages 197-207, September.
    14. Zeng, Shihong & Tanveer, Arifa & Fu, Xiaolan & Gu, Yuxiao & Irfan, Muhammad, 2022. "Modeling the influence of critical factors on the adoption of green energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    15. Zhang, Nan & Hwang, Bon-Gang & Lu, Yujie & Ngo, Jasmine, 2022. "A Behavior theory integrated ANN analytical approach for understanding households adoption decisions of residential photovoltaic (RPV) system," Technology in Society, Elsevier, vol. 70(C).
    16. Neves, C. & Oliveira, T. & Santini, F., 2022. "Sustainable technologies adoption research: A weight and meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).

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