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Structural equation model of E-commerce live broadcasting influencing customers purchase intention prediction using machine learning
(2026-01-01)
Huang, Yiling
;
Rojniruttikul, Nuttawut
There is a growing need to understand how live streaming e-commerce influences consumers’ purchasing behavior. Perceived value, engagement, and live streaming quality are crucial components that utilized structural equation modeling (SEM) to examine the factors that influence purchase intentions. This study presents a methodology for analyzing the variables that influence live streaming e-commerce purchase decisions. The study uses SEM and Machine Learning algorithms like Bayesian model, Random Forest, XGBoost, KNN and SVM to assess the prediction. This paper uses two feature transformation methods (MinMax and Zscore) and two feature selection models (InfoGain and Correlation) to improve the prediction of purchase intention. This paper gathers questionnaire responses from 500 participants who have purchased goods through E-commerce Live Broadcast in China and validates the results using a SEM. The study provides a reliability and validity analysis for the suggested model using SEM analysis. The attributes of live broadcasts can elevate the perceived value and trustworthiness, as well as consumer impulsivity, hence increasing customers’ likelihood to purchase.
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Structural equation modeling of teaching behavior in internet use of teachers in Thailand
(2019-11-01)
Pimdee, Paitoon
;
Leekitchwatana, Punnee
At present, instruction via the internet is a challenge for teachers. Many teachers have changed their teaching behavior (TB) from a conventional style into a style of teaching via the internet. For this reason, this research had the objective to develop a structural equation model (SEM) of TB in internet use of lower secondary (LS) school teachers, classified according to school size. The developed SEM model of TB in internet use of LS school teachers had validity that was congruent to the empirical data of every model with good criteria of all goodness of fit indices. The model was composed of 8 latent variables from 24 observed variables. All causal variables in the model had a positive direct effect on TB in internet use, and these were able to explain the variation in TB in a large sized school, a very large sized school, and an extra-large sized school, with 99, 100, and 92, respectively.
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A structural equation modeling on factors related to the brand loyalty of diners to certified thai restaurants in the United States
(2019-06-01)
Auapinyakul, Woravat
;
Deebhijarn, Samart
The study examines a set of factors for their influence on the brand loyalty of diners to certified Thai Restaurants in the United States. Specifically, the study investigates the hypothesized direct or indirect influences of image, service quality, customer expectations, sensory perception, and customer satisfaction on brand loyalty. A total of 620 diners who had eaten at least once in certified Thai restaurants in the United States were interviewed using a self-accomplished questionnaire. Results confirm almost all of the hypothesized influences of the structural equation model variables on loyalty. Customer satisfaction is the factor having the strongest influence on loyalty, followed by customer expectations, service quality, image, and sensory perception in that order. Overall, the variances in loyalty, customer satisfaction, and sensory perception are well-explained by the variables included in the model, but there are nuances in which to appreciate these key findings. Data are useful for Thailand as it continues to deepen its offshore strategies to further cement the competitiveness of Thai Select and Thai Select Premium restaurants in the United States.
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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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The development of structural equation model of critical thinking among nursing students
(2017-01-01)
Srisawad, Kanjana
;
Ratana-Olarn, Thanin
;
Kiddee, Krissana
These were to study the critical thinking of nursing students, and to develop and check the goodness of fit of the Structural Equation Model of critical thinking among nursing students, which was compared with an empirical data set. There were 549 first year nursing students. Multi-stage random sampling was used in this research, by cluster random sampling from 20 private higher education institutions that provide nursing courses, comprising 25 percent, and random sampling 5 private higher education institutions, in order to gain 549 samples for this study. These were critical thinking questionnaires and variable effects of critical thinking questionnaires. The data was analyzed by descriptive statistics and the Structural Equation Model. This research indicated that the goodness of fit test of the Structural Equation Model of critical thinking among nursing students was applicable. The results showed the following statistical values: Chi-square = 284.895, df = 248, p-value = 0.054, RMSEA = 0.016, RMR = 0.009, GFI = 0.968, CFI = 0.997 and χ<sup>2</sup>/df = 1.149; this indicated that the Structural Equation Model goodness of fit matched the empirical data quite well. The Self Efficiency, Emotional Intelligence, and Learning Style variables had positively direct effects on critical thinking (b = 0.371, 0.370 and 0.376). The Internal Locus of Control had a negatively direct effect on critical thinking (b = −0.120). In conclusion, in theoretical and practical teaching, nursing academies should promote critical thinking among nursing students by using the following variables: self-efficiency, emotional intelligence, learning style, and internal locus of control. This model should be used to develop complementary courses on critical thinking for nursing students.
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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.

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