The purposes of this research are to study the customers’ satisfaction to the services at TRUE-shop in Future-Park Rangsit to compare the customers’ satisfaction to the services at TRUE-shop in Future-Park Rangsit and to collect suggestions from the customers’ satisfaction to the services at TRUE-shop in Future-Park Rangsit classified as per personal factors. The sampling groups being used in the study are 400 customers using services at TRUE-shop in Future-Park Rangsit. Information were gathered by questionnaires and data were analyzed by Statistical Value Percentile Average Standard Deviation Chi-Square Analysis for Testing Relationship and Statistical Independent Sample t-test and One Way ANOVA methods whenever significant statistical differences were encountered using LSD for testing in pairs. The result of the study showed that the customers’ satisfaction to the services at TRUE-shop in Future-Park Rangsit were at the high level in every criteria. The sampling group were satisfied firstly with the factor of process followed by the factor of marketing promotion and lastly factors of production and physical presentation. And the hypothesis testing indicated that the sampling group with different level of education showed the different level of satisfaction to the services at TRUE-shop in Future-Park Rangsit with statistical significance of 0.05

Advertisement and admission of target applicants who will be new undergraduate studentswill help to reduce costs promote or recruit off- campus as well. The decision tree Technique can be used to develop models to forecast numbers of new students in the classification rules for accuracy. It helps to decide on the form and place in admission of new students to meet the target even more. The seven models developed by using the rules of classification techniques decision trees were built and tested with different sampling methods: 3 models of k-fold cross-validation 3 models of percentage split and a model of training set and test set. The study result for forecasting new students via model developed by training set and test set method is higher performance than model developed by other methods. It was shown that the efficiency was 94% the precision was 94.3% the recall was 94% and the F-measure was 93.7%. Thus this model is accurate in forecasting numbers of new students using the classification rules with decision tree technique.

The objectives of this study are to study the usage of the marketing mix factors application for decision making to select wedding consult services at Bangkoknoi district in Bangkok metropolistan to study the decision behavior when selecting wedding consult services as well as comparison of the marketing mix factors in selecting wedding consult services classified as per- individual factor. The result showed that the product factor was highly important as proper-services-as-required was emphasized. The price factor was highly important as clearly displayed-price was emphasized. The place factor was highly important as ease-of-traveling was emphasized. The promotion factor was considered highly important as special-discount from normal rate was emphasized. The result from hypotheses testing showed that the sample group with different age education average income and career tend to use the marketing mix factors in selecting wedding consult services differently with a significant statistical difference of 0.05 while the sample group with different gender tend to use the marketing mix factors in selecting wedding consult services indifferently with a non-significant statistical difference of 0.05.

This research was a survey research. The objective was to study the factors of social adjustment of students of the Faculty of the Industrial Education Rajamangala University of Technology Phra Nakhon. The data analysis based on statistic data the average percentage standard deviation t-test and analysis of variance. The results can be summarized as follows: the factors of social adjustment of Industrial Education students are at the moderate level. The results of factor analysis are 1) Students with different genders and age have the overall indifferent social adjustment ability. 2) Students who graduated from different field of study have the overall different social adjustment ability . The students who graduated from vocational certificate program have the overall higher social adjustment ability than students who graduated from general education program. 3) Students with different years of birth and different family status in society have the overall indifferent social adjustment ability. 4) Students with their parents in different occupation and different average-income-per-month families have the indifferent overall social adjustment ability and 5) Students with different family characteristics have the overall different social adjustment ability.

This research aims to study the marketing mix factors that influence consumers’ purchasing decisions and to compare the marketing mix factors that influence purchasing decisions of consumers in the Seacon Square shopping mall. It was found that the marketing mix factors that influence the buying decisions of customers in the Seacon Square shopping mall were at the high level in every criteria. The product factor was at the highest level. The following are the distribution channel promotion marketing and pricing respectively. A comparative study of the marketing mix factors that influence consumers’ purchasing decisions by the nature of personal information showed that customers having different age and status had different marketing mix factors in the purchasing decision statistically at the 0.05 level.But the customers with different gender educational level occupation and average revenue per month had indifferent factors that affect the marketing mix decisions statistically at 0.05.