The study on beauty salon users’ decisions and behaviors in Maung district Nonthaburi was aimed to (1) investigate the beauty salon users’ personal factors (2) explore their decision levels (3) look into their behaviors (4) compare the decision levels according to the personal factors and (5) examine the relationship between the personal factors and the behaviors. The samples in this study were 400 beauty salon users’ selected through non purposive sampling nonprobability sampling and quota sampling. The questionnaire was administered to obtain data and the statistics used to analyze the data were frequency distribution percentage distribution mean standard deviation t-test and One-way ANOVA. Cross-Tabulation was applied using statistical package for social science. The study results revealed that most of the samples were single females ranging from 20 to 30 years of age holding bachelor degrees. Most of them were employed by companies with the average income salaries ranging from 5000 to 10000 Baht. The data analysis indicated that the decision level towards marketing mix factors of the 400 beauty salon users was high; and in terms of their behaviors concerning the use of the beauty salon showed that they went to the salon mostly to have their cut and set with the minimum of 500 baht payment. The purpose of going there twice to three times per month was to promote their personality and gain more confidence. They normally went there in the evening (from 4 pm. – 7.00 pm.) spending one to two hours and paying with cash. The personal factors of the beauty salon users affected the level of decisions made to go to different beauty salons. The personal factors of the beauty salon users related to the behaviors of the beauty salon use.

This study has two major proposes to study marketing mix via Smart Sales system factors on a customers decision behavior of buying life insurance via Siam Commercial Bank PCL. This methods research was quantitative research. The sample was selected 400 local people in Bangkok area from multistage random sampling by presented in the tables percentage average standard deviation to comparative analysis and use inferential statistics to examine hypothesis by regression analysis. The results of a short empirical survey of the local in Wisuthikasat area are presented. These show that Smart Sales system influence to life insurance buying at statistically significant at level 0.05 by this prediction equations; Buying Decision = 2.586 – 0.077 (Product) – 0.146 (Price) + 0.387 (Place or Distribution) + 0.109 (Promotion) – 0.213 (People or Employee) – 0.477 (Physical Evidence) + 0.051 (Process). The independent variable effecting Siam Commercial Bank insurance buying decision which significantly found at the level of 0.05 was the physical evidence factor. They were the bank symbol public relation brochure management officer uniforms customer acceptance of Siam Commercial bank in Wisuthikasat area branches stability respectively including the negative information of the bank branches.

The objectives of this research were to study decision to select service and need of marketing mix factor of Koun Indy Restaurant ‘s customers. The sample used in this study was consumers who used their services of Koun Indy Restaurant both branches 1) Muang Thong Thani Branch 2) Samsen Branch. The sample selection methods by stratified random sampling of 217 people. Found that in this group. The consumer division Muang Thong Thani Branch share of 39 percentages. And Samsen Branch share of 61 percentages. The instrument used for data collection is a multiple choice questionnaire and likert scale questionnaire. Data was collected during the month of January 2558 from monday to sunday from 11.00 to 20.00. The data were analyzed using Descriptive statistics of frequency percentage points on average and standard deviation It was found that most of the sample group were female age from 21 – 30 years working in private companies living in condominium and the duration of the trip to the store was 30 -60 minutes. The decision to use the services friends are individuals who have contributed to the decision to use most services. The date for the service is uncertain. by using the service during 16:31 to 19:30. This was a period of 2-3 people about 1-2 times a month. And popular Koun Indy Restaurant review in a tight exocrine occasion. The marketing mix factors that influence the decision to use the service of Koun Indy Restaurant found of consumers are demanding the marketing mix. The level of demand in all aspects including product price place and marketing promotion.

The objectives of this research were (1) To study the Influence of perceived justice on customer trust of Asita Eco Resort (2) To study the Influence of perceived justice and customer trust on customer satisfaction of Asita Eco Resort (3) To study the Influence of customer trust and satisfaction on customer word of mouth of Asita Eco Resort (4) To study the Influence of customer trust and satisfaction on customer revisited of Asita Eco Resort (5) To validate a causal relationship model of influence of perceived justice on trust satisfaction word of mouth and revisited of Asita Eco Resort’s customers.

The objectives of this research were (1) To study the influence of the after sales service quality which consisted of the dimensions of tangible reliability responsiveness assurance and empathy on customer trust; (2) To study the influence of the aftersales service quality and customer trust on customer satisfaction; (3) To study the influence of customer trust and satisfaction on customer loyalty and (4) To validate the causal relationship model of the influence of aftersales service quality on trust customer satisfaction and customer loyalty of medical’s equipment business with empirical data. The variables in this investigation consisted of the following; aftersales service quality which consisted of the dimensions of (1) tangible; (2) reliability; (3) responsiveness ;(4) assurance and (5) empathy as the independent variable; customer trust and satisfaction as mediating variables and customer loyalty as dependent variable.