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    Factors Influencing the Intention to Use Solar Rooftop Energy of Households in Thailand
    (2023-01-01)
    Theppratuanghthip, Pongsapat
    ;
    Rojniruttikul, Nuttawut
    As economic growth influences the higher demand for using electricity, there is a need to increase the norm and attitude influencing the intention to generate green electricity, which is a key source of energy to drive the country’s economy and development. Therefore, the objectives of this research were to study the total, direct, and indirect effects of the variables on the intention to use solar rooftop energy of households in Thailand, and to develop a model of the government policy and subjective use of solar rooftop energy of households in Thailand. This study was a quantitative research in which a set of questionnaires was used as an instrument to collect data from 240 samples, i.e., houses in all regions of Thailand. The samples were obtained by convenience sampling, and the data analysis relied on descriptive statistics and the structure equation model (SEM). The results showed that “Government Policy”, “Subjective Norm”, and “Attitude” had positive effects on the intention to use solar rooftop energy of households in Thailand. The model conformed to the empirical data with a significance level of 0.001. However, the government should set a security policy for the development of electricity generation by mixing sources of fuels in order to reduce the risk of heavily relying on a certain type of fuel. The transmission system should also be developed for greater reliability along with promoting the use of renewable energy to enhance the electric energy security of the country in the future.
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    Decision Making in Selecting Mobile Payment Systems
    (2019-01-01)
    Chaiyasoonthorn, Wornchanok
    Thailand is transforming its economy into a digital economy.Mobile payment (m-payment) is a core technology that helps the country phasesfrom the manufacturing-based economy into the digital economy. However, aquestion remains what factors influencing people to adopt mobile payment. Littleliterature focuses on users in Thailand. This study aims to determine factorsassociating with the decision-making process in selecting m-payment systemsof respondents in Bangkok. The study addresses a research question. What dofactors segregate m-payment adoption? 820 respondents were asked by using aquestionnaire. Employment of confirmatory factor analysis (CFA) developedthe measurement showing acceptable validity and reliability. The study usesmultinomial logistic regression to classify Technology Choices (TCs). The resultsshow low values of Pseudo R-Square, indicating that there is a lack ofpractical variables. Discussions and suggestions are addressed in this research
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    What Makes university students use cloud-based e-learning?: Case study of KMITL students
    (2015-01-13)
    Atchariyachanvanich, Kanokwan
    ;
    Siripujaka, Nutchanon
    ;
    Jaiwong, Nattapong
    Cloud computing technology has been influential in overcoming problems in e-learning systems, such as the lack of scalability and storage limitation. Therefore, a framework for applying cloud computing on e-learning systems has been prepared. However, to develop a cloud-based e-learning system that matches well with the learners' needs and solves the current problems, it is important to know the learners' requirements. This research evaluated the key significant factors required for university students to use Cloud-based e-learning based on a research model, including the theory of motivation, and characteristics of cloud computing. In total, 250 students from King Mongkut's Institute of Technology Ladkrabang were surveyed by questionnaire. Data analysis was performed by factor and multiple regression analyses. Overall the factors that influence the intention to use cloud-based e-learning were identified as the availability, collaboration, cloud-based e-learning notifications, intrinsic motivation and extrinsic motivation. However, these account for only 62.9% of the usage intention, and so other factor(s) still remain to be determined.