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Consumer Adoption Model for Solar Power System (PhD Thesis)

By: Material type: TextTextPublication details: Karachi : NED University of Engineering and Technology Department of Mathematics, 2023Description: xvii, 76 p. : illSubject(s): DDC classification:
  • 621.4750378242 HAS
Online resources: Summary: Abstract In the last two decades, vast developments have been noticed in the energy sector. Many companies and individuals have preferred to rely on the solar system for generating electricity, but the adoption level is slow. This study aims to prepare a model that provides Pakistani consumers a way out that will help them adopt the most economical power system. This research has been carried out on the bases of 2 methods first by using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) second by using Multiple linear regression model to predict the attitude of Pakistani consumers toward adoption of solar power system. To conduct this research, a survey has been planned and then implementation is carried out in the southern region of Pakistan. A structural equation model and Multiple Linear Regression model is adopted in to test the research hypothesis. The results from the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) showed that Effort Expectancy (EE) and Performance Expectancy (PE) has no significant association with Attitude Towards Use (ATU), except for these two factors all other factors used in the model have significant and positive influences on the use of Solar technology. The findings of this project also enable government and private sector organizations to optimize their planning and resources to promote environment-friendly energy and they should work on significant factors such as Environmental Belief (EVB), Social Influenced (SI), Hedonic Motivation (HM), and Price value (PV). Other significant factors are Facilitating Condition (FC), Attitude toward use (ATU), and Behavioral Intention (BI). The result from Multiple Regression Model showed that 6 factors Knowledge about Renewable energy, Environmental Belief, Social Influenced, Hedonic Motivation, Price Value and Perceived Behaviour Control are the significant factors to predict the Attitude of consumers toward use of Solar Power System. Some other factors such as Income, Education, Occupation, Gender, Age, Performance Expectancy and Effort Expectancy are not the significant factors toward adoption of solar power system. This study is a novel attempt to use the UTAUT2 model to analyze the intention and behaviour of Pakistani consumers toward using Solar Technology.
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Abstract
In the last two decades, vast developments have been noticed in the energy sector. Many companies and individuals have preferred to rely on the solar system for generating electricity, but the adoption level is slow. This study aims to prepare a model that provides Pakistani consumers a way out that will help them adopt the most economical power system.
This research has been carried out on the bases of 2 methods first by using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) second by using Multiple linear regression model to predict the attitude of Pakistani consumers toward adoption of solar power system. To conduct this research, a survey has been planned and then implementation is carried out in the southern region of Pakistan. A structural equation model and Multiple Linear Regression model is adopted in to test the research hypothesis.
The results from the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) showed that Effort Expectancy (EE) and Performance Expectancy (PE) has no significant association with Attitude Towards Use (ATU), except for these two factors all other factors used in the model have significant and positive influences on the use of Solar technology. The findings of this project also enable government and private sector organizations to optimize their planning and resources to promote environment-friendly energy and they should work on significant factors such as Environmental Belief (EVB), Social Influenced (SI), Hedonic Motivation (HM), and Price value (PV). Other significant factors are Facilitating Condition (FC), Attitude toward use (ATU), and Behavioral Intention (BI). The result from Multiple Regression Model showed that 6 factors Knowledge about Renewable energy, Environmental Belief, Social Influenced, Hedonic Motivation, Price Value and Perceived Behaviour Control are the significant factors to predict the Attitude of consumers toward use of Solar Power System. Some other factors such as Income,
Education, Occupation, Gender, Age, Performance Expectancy and Effort Expectancy are not the significant factors toward adoption of solar power system.
This study is a novel attempt to use the UTAUT2 model to analyze the intention and behaviour of Pakistani consumers toward using Solar Technology.