The Development of a Causal Factor Model Influencing the Decision to Install Solar Panels for Industrial Plants in Thailand
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Abstract
This Article aimed to study (1) To study the level of perceived benefits of solar panels, attitudes towards solar panels, and the decision-making process for installing solar panels. (2) To study the development of a causal factor model influencing the decision to install solar panels for industrial plants in Thailand. The research design was quantitative. The sample was 340 managers in industrial plants who were licensed by the Energy Regulatory Commission. They was selected by using a convenience sampling method. The instrument for collecting data was a questionnaire. Analysis data by Descriptive statistics, percentage, mean, standard deviation, skewness, kurtosis, and Structural Equation Modeling (SEM) analysis. The research results were found as follows;
- The level of awareness of the benefits of solar panels, overall, was found to be at the highest level, with an average of 4.32. The attitude towards solar panels, overall, was found to be at the highest level, with an average of 4.31. The decision to install solar panels, overall, was found to be at the highest level, with an average of 4.41.
- Development of a model of causal factors that influence the decision to install solar panels for industrial plants in Thailand is consistent with empirical data. Chi-square or c2 = 476.646, DF = 429, Chi-square/df or c2/df = 1.111, Chi-square-test or c2- test p = .056, RMSEA = .018, CFI = .993, TLI = .990, GFI = .929, AGFI = .902, RMR = .030, and HOELTER = 341
The knowledge/findings from this research reveal important variables that jointly directly and positively influence the decision to install solar panels for industrial plants. The research results can be used as guidelines for business operations.
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