![filelocator pro 8.1 wtp attached storage filelocator pro 8.1 wtp attached storage](https://wpimages.mythicsoft.com/wp-content/uploads/2017/05/09230058/favorite_7.png)
![filelocator pro 8.1 wtp attached storage filelocator pro 8.1 wtp attached storage](https://sbc-support.com/fileadmin/_migrated/pics/ScreenShotProgramInfo.png)
Technol Anal Strateg Manag 28(2):131–155Īnderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Sustainability 11(5):1462Īmer M, Daim TU, Jetter A (2016) Technology roadmap through fuzzy cognitive map-based scenarios: the case of wind energy sector of a developing country. Appl Comput, Inf 12(1):27–50Īli S, Ullah H, Akbar M, Akhtar W, Zahid H (2019) Determinants of consumer intentions to purchase energy-saving household products in Pakistan. Renew Energy 68:255–263Īl-Gahtani SS (2016) Empirical investigation of e-learning acceptance and assimilation: a structural equation model. Organ Behav Hum Decis Processes 50(2):179–211Ījzen, I, Fishbein, M (1980) Understanding attitudes and predicting social behaviorĪlam SS, Hashim NH, Rashid M, Omar NA, Ahsan N, Ismail MD (2014) Small-scale households renewable energy usage intention: theoretical development and empirical settings. Springer, pp 11–39Ījzen I (1991) The theory of planned behavior. Sci Total Environ 657:1085–1098Ījzen I (1985) From intentions to actions: a theory of planned behavior in action control. Environ Sci Pollut Res 26(14):14148–14170Īhmad M, Zhao ZY, Li H (2019b) Revealing stylized empirical interactions among construction sector, urbanization, energy consumption, economic growth and CO2 emissions in China. Environ Urban ASIA 6(2):193–211Īhmad M, Zhao ZY, Irfan M, Mukeshimana MC (2019a) Empirics on influencing mechanisms among energy, finance, trade, environment, and economic growth: a heterogeneous dynamic panel data analysis of China. Ind Mark Manage 43(3):365–381Īfroz R, Rahman A, Masud MM, Akhtar R, Duasa JB (2015) How individual values and attitude influence consumers’ purchase intention of electric vehicles-some insights from Kuala Lumpur, Malaysia. Based on research findings, this study offered essential policy recommendations to fulfill the country’s energy needs on its way to a future of sustainable development.Īarikka-Stenroos L, Sandberg B, Lehtimäki T (2014) Networks for the commercialization of innovations: a review of how divergent network actors contribute. Research results indicate that the influencing factors such as attitude, subjective norms, and perceived behavioral control positively moderate the relationship between consumer’s intention and WTP for RE, belief about RE cost has a negative effect, while environmental concern did not find to have a significant effect. Structural equation modeling was employed for data analysis purposes. Findings are based on the primary data gathered from 349 residents in the five major cities of Pakistan including, Karachi, Lahore, Faisalabad, Rawalpindi, and Multan by conducting a comprehensive survey. The current research has contributed through expanding the theoretical framework of the theory of planned behavior by adding two new constructs, i.e., belief about RE cost and environmental concern to better understand consumers’ intentions towards adoption or prohibition of RPTs. This study aims to investigate the impact of consumers’ intention factors on willingness to pay (WTP) for renewable energy (RE) in Pakistan. As the adoption of renewable power generation technologies (RPTs) is a complex and multidimensional process influenced by a variety of factors, it provokes traction among researchers to identify these influencing factors.