{"id":2327,"date":"2021-03-08T04:00:26","date_gmt":"2021-03-08T04:00:26","guid":{"rendered":"https:\/\/mgt.sjp.ac.lk\/vjm\/?p=2327"},"modified":"2021-03-08T04:03:38","modified_gmt":"2021-03-08T04:03:38","slug":"factors-influencing-solar-energy-technology-adoption-by-households-in-western-province-sri-lanka","status":"publish","type":"post","link":"https:\/\/mgt.sjp.ac.lk\/vjm\/2021\/03\/08\/factors-influencing-solar-energy-technology-adoption-by-households-in-western-province-sri-lanka\/","title":{"rendered":"Factors influencing Solar Energy Technology adoption by Households in Western Province Sri Lanka"},"content":{"rendered":"

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U. C. Bandara<\/b><\/p>\n

Ceylon Electricity Board<\/i><\/p>\n<\/p>\n

T. S. M. Amarasena<\/b><\/p>\n

University of Sri Jayewardenepura<\/i><\/p>\n

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Abstract<\/b><\/p>\n

The acceptance and slow growth of solar energy is a major barrier for the Sri Lanka\u2019s expansion of Solar. The aim of this study is to identify the factors that important when adopting to solar energy technology. Technology Acceptance Model (TAM), Diffusion of Innovation (DOI), Theory of Planned Behavior (TPB) and Transaction Cost Economics theory (TCE) are the theories that used to develop the research foundation. A self-administrated questionnaire was used to collect data from a sample of 384 household respondents. Structural Equation Modeling (SEM) was used to test the hypothesis. The result of the study indicates that perceived ease of use has the most significant impact on adopting to solar energy technology. Awareness of the technology and relative advantage become second and third influential factors of adoption. Perceived behavioral control also has a positive impact on adoption to solar energy technology while cost shows a negative impact. From a managerial viewpoint these findings can be used for implementing the solar energy technology as a household renewable energy source for upcoming future energy crisis. Though geographical unfairness act as the main limitation, since the high density of population, income level and urbanization of observed area, the result can be generalized to the urbanized households.<\/p>\n

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Keywords<\/b><\/p>\n

Adoption; Relative advantage; Perceived behavioral control; Perceived ease of use, Awareness; Cost; Solar energy<\/p>\n

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Download<\/b><\/p>\n

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