This study was aimed at studying factors affecting secondary students decision making to attend tutorial schools in Muang District Nonthaburi. 400 samples from 5 schools were selected. Data collection began in 2016 and were analyzed by logistic regression analysis The results revealed that most students chose to participate in tutorial classes The factors affecting decision making were family incomes as well as the course to study at the significance level of 0.05 It was also found in the research that the Marketing Mix and social factors did not influence the decision making to attend tutorial schools at a significant level of 0.05

This study was aimed to study the demographic characteristics of who decided to shop online to explore working-age people’s internet behavior and to investigate the demographic factors influencing internet shopping decisions. The population and sample used in this study were working-age people drawn from Snowball Sampling method. The questionnaire used was distributed through the internet to 400 respondents. The data were collected and analyzed by the computer program through the statistical analysis including frequency percentage mean () standard deviation (S.D.) and two-way analysis (ANOVA). The research results revealed that Marketing mix factors affected the internet shopping decisions of the working-age people in general at high level (= 4.13 S. D. = 0.430) . When looking into each aspect it was found that the price factor highly influenced the online purchasing decisions (= 4.16 S. D. = 0.463) . followed by the product factor (= 4.13 S. D. = 0.452) which was also considered at high level. The promotion factor had high impact on online shopping decision (= 4.13 S. D. = 0.422) as well as the distribution channel (= 4.13 S. D. = 0.386). The result regarding the relationship revealing gender and age (F = gender *age (1357) = 7.128 p < .05 ) had a significant effect on online shopping at the .05 level. Gender * and occupation (4357 ) = 1.503 p < .05 ) had influence on decisions to online shopping with statistical significance at .05. Occupations and income (F * occupation * income (1357) = 11.487 p < 0.5 ) could influence decision making on the internet shopping with statistical significance at .05. Also the relationship between gender and occupation (F * gender occupation ( 4357 ) = 5.237 p < .05 ) had an influence on the choice of the internet shopping decision on price at the .05 level; the relationship of gender and occupation (F * sex occupation ( 1357 ) =8.000 p < .05 ) influenced the decision to shop on the internet in terms of marketing promotion at the .05 level of significance.

The purpose of this study were to 1) study consumer’s behaviors at on choosing fresh coffee at restaurant 2) investigate marketing strategies affecting the consumer’s decision on choosing fresh coffee at restaurant 3 ) compare personal factors affecting the consumer’s decision on choosing fresh coffee at restaurant at Thai Airways International classifications on the factors for the educations will be consumer’s decision on choosing fresh coffee of Yellow Orchid Restaurant at Thai Airway International. The sample group was 225 Thai customer’s using the restaurants. The questionnaire was used in this study to collect data. The statistics used this research were percentage mean frequency standard deviation t-test and F-test. The results showed that the men age 35 to 45 years old work as employees for the private companies with salary of 35000 bahts and up the reasons for having coffee were because of the conferences and meetings. From 7:00 am until 9:00 am cost around 85 bahts/time. Consume hot coffee at least 1 cup. Cappuccino and latte are popularly being selected among the people. Do not buy other products alongside coffee. Change the coffee type sometimes. Other than coffee then they’ll be lemonade Anchan juice and decide for yourself. As for the marketing strategies affecting the consumer decision on choosing Fresh Coffee all strategies were rated high. According to the comparative marketing strategies affecting consumers in choosing Fresh Coffee it was found that sex or gender played no role in using the restaurant. However age affected products Place Promotion People process of service and Physical with significant statistic level at 0.05. However vocation affected products Place Promotion with significant statistic level at 0.05. However Earnings affected products price Place People process of service and Physical with significant statistic level at 0.05

This research explored the Marketing Mix (4P’s) factors affecting vocational education textbook buying decision of target customerss Wankaew Edutainment Co.Ltd. in Bangkok metropolitan area. The Population in this study are teachers and lecturers belong to vocational schools in Bangkok. The equation used to calculate the unknown sample population at 95% confidence level. The sampling and statistical sample of 400 active research. That have statistics used in this research is the Binary logistic regression. The results showed that with ten issues from three aspects that affect buying decisions. The level of statistical significance was 0.05 The 4P’s product clarified on two issues includes learning plans and test examination for course number 200 as a Microsoft Word file containing a CD and given to the print format four-color throughout. The 4P’s place focused on three issues as books sold through shops in the area close to the Lyceum sales by telesales and distributed E-Commerce system. The 4P’s promotion focused on five issues as counseling services academic and teaching buyer can author textbook buyer invite participants academic buyer have joined academic work and advertising through social media and website.

The objectives of this research were to study the personal and investment factors affecting decision making for investing in the provident funds of employees at Conference Solution Company Limiteds and its Subsidiaries’ Staffs. The population consisted of 191 staffs from Conference Solution Company Limiteds and Subsidiaries. The research instrument was a questionnaire with using the descriptive statistics Confirmatory Factor Analysis (CFA) and Binary Logistic Regression Analysis to test the hypotheses. The results of the study found that Education Income per month work the risk of investment knowledge of fund and the economy influencing the decision making to select to invest in the provident fund of the Conference Solution Company Limiteds and Subsidiaries.’ staffs at the statistically 0.05 Significant level.