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Author: search.filters.author.Phimolsathien, ThepparatSubject: search.filters.subject.Structural equation model

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    Antecedents to creating shared value at thai waste-to-energy facilities
    (2018-01-01)
    Chailertpong, Thaspong
    ;
    Phimolsathien, Thepparat
    In 2015, 1.2 billion people, or 16% of the global population, did not have access to electricity. Simultaneously, solid waste generation reached 200 million tons annually, and is projected to exceed 11 million tons per day by 2100. Solutions must hence be found, with Waste-to-Energy conversion a strong but controversial and costly contender. By use of cluster sampling, a sample of 361 individuals was obtained, from which a confirmatory factor analysis and structural equation model was undertaken using LISREL 9.1. All causal factors in the model were shown to have a positive influence on the creation of shared value of the Waste-to-Energy Power Plant and the local community, with 68% of the variance of the factor affecting the creation of shared value. Ranked in importance, the variables were government policy, the Waste-to-Energy operators and community participation, with a total score of 0.83, 0.37 and 0.36, respectively.
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    Perceptions on ozonation water treatment use: An alternative idea for ASEAN water resource sustainability
    (2017-06-01)
    Potivejkul, Siriwat
    ;
    Pimdee, Paitoon
    ;
    Phimolsathien, Thepparat
    Ozonation (or ozonisation) is a chemical water treatment technique based on the infusion of ozone into water. As early as 1893, this process was used in Europe for the treatment of drinking water and as recently as 2014, the most modern ozone water treatment facility in the world was brought online to protect the waters of Switzerland's Lake Geneva. However, studies vary widely in conditions leading to ozone technology use, and the subsequent factors concerning its effectiveness. From a population of 7,006 Thai industrial estate companies, a sample of 500 executives, managers, and engineers was drawn which completed an 80-item survey which was analysed by use of a structural equation model using LISREL 8.72. Results showed that acceptance had the greatest influence on ozonation treatment technology use, while the remaining five latent variables (ranked in importance) included curiosity, provisional trial, testing, cognizance, and strategy.
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    Structural equation model of the adoption of ozone generator technology by thai industries
    (2015-01-01)
    Potivejkul, Siriwat
    ;
    Phimolsathien, Thepparat
    ;
    Pimdee, Paitoon
    Ozone is second only to fluorine as the most powerful oxidant in the world. It's the most powerful, natural air and water sanitizer readily available and can break down chemicals into their basic naturally-occurring component parts. The objectives of this study were therefore, to test a model of technology adoption used in the ozone generator industry in Thailand. Self-reporting questionnaires were retrieved from 500 production and engineering managers in both central and eastern Thailand enterprises from a total of 3,000 distributed. The research framework integrates Corporate Vision, Awareness, Interest, Evaluation and Trial to hypothesize a theoretical model to explain and predict adoption of ozone generator technology. All latent variables in the model have a positive influence on the adoption of Thai ozone generator technology. The model furthermore consisted of 18 observed variables with a variable latency of 6 variables which had a positive influence on the adoption of ozone generator technology. The final structural model was verified to achieve a good fit with the empirical data at 65% because of the decision to use new products in ozone generator technology. Using LISREL 8.72 Structural Equation Modeling (SEM), the results showed that that the variables that influence technology use the most are Adoption, followed by Interest and Evaluation, followed by Trial, Awareness and Corporate Vision having the effects of 0.73, 0.53, 0.42, 0.31 and 0.23, respectively.