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

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...

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Main Authors: Saqib Ali, Petra Poulova, Ahsan Akbar, Hafiz Muhammad Usama Javed, Muhammad Danish
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Economies
Subjects:
Online Access:https://www.mdpi.com/2227-7099/8/4/108
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spelling doaj-d8f21f16627f4ac3af788cd977e577a72020-12-10T00:02:10ZengMDPI AGEconomies2227-70992020-12-01810810810.3390/economies8040108Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model ApproachSaqib Ali0Petra Poulova1Ahsan Akbar2Hafiz Muhammad Usama Javed3Muhammad Danish4Department of Management Sciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, PakistanDepartment of Informatics and Quantitative Methods, Faculty of Informatics and Management, University of Hradec Kralove, 500 03 Hradec Kralove, Czech RepublicInternational Business School, Guangzhou College of South China University of Technology, Guangzhou 510080, ChinaDepartment of Management Sciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, PakistanDepartment of Management Sciences, University of Lahore, Sargodha Campus, Sargodha 40100, PakistanAccelerating 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.https://www.mdpi.com/2227-7099/8/4/108solar photovoltaic technologyconsumer attitudepurchase intentionpolicy and propagandaDTAM modelstructural equation modeling
collection DOAJ
language English
format Article
sources DOAJ
author Saqib Ali
Petra Poulova
Ahsan Akbar
Hafiz Muhammad Usama Javed
Muhammad Danish
spellingShingle Saqib Ali
Petra Poulova
Ahsan Akbar
Hafiz Muhammad Usama Javed
Muhammad Danish
Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach
Economies
solar photovoltaic technology
consumer attitude
purchase intention
policy and propaganda
DTAM model
structural equation modeling
author_facet Saqib Ali
Petra Poulova
Ahsan Akbar
Hafiz Muhammad Usama Javed
Muhammad Danish
author_sort Saqib Ali
title Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach
title_short Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach
title_full Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach
title_fullStr Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach
title_full_unstemmed Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach
title_sort determining the influencing factors in the adoption of solar photovoltaic technology in pakistan: a decomposed technology acceptance model approach
publisher MDPI AG
series Economies
issn 2227-7099
publishDate 2020-12-01
description 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.
topic solar photovoltaic technology
consumer attitude
purchase intention
policy and propaganda
DTAM model
structural equation modeling
url https://www.mdpi.com/2227-7099/8/4/108
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