Social networking is a popular medium for the business of selling female clothing and has been growing steadily. This is because of ease and availability of access faster communication and lower cost in comparison to competing market media strategies. This study investigates the influence of integrated marketing communications (IMC) on female decision making in social online clothing purchase. The research involves quantitative method by use of questionnaire as a tool in collecting information. The population for this study comprises females who live in Bangkok and use online social networking services. Quota sampling is used to select for a sample size of 445 subjects. The results show that most in the sample group deciding to purchase clothes online with an overview of IMC tools (advertising public relations promotion and direct marketing) are in the moderate range (43.82%). In addition Eta ( ) correlation ratio indicates strong nonlinear relationship between clothing purchase and the IMC tools except for advertising which has a weak positive relationship (0.165). Multiple regression analysis results show that marital status age level of education revenue time using the Internet and times to view products through online social network all have effect on clothing purchase. The sample group outcome suggests that entrepreneurs should pay attention to warranty information on products and prices security of financial transactions and contact with manufacturers in order to encourage consumer online purchasing.

This study included the following objectives: 1) to study the demographic characteristics that influenced the consumer buying behavior for Honda cars 2) to examine the consumer perception that influenced a decision to choose Honda cars and 3) to investigate the marketing communication channel that had a decisive influence towards consumer buying behavior for Honda cars. The 400 customers who reserved Honda cars or signed contract of sale with the Honda car dealers at the showrooms in Bangkok were selected as a sample. This quantitative research was conducted by survey distribution of questionnaire for data collection data analysis using percentage mean and standard deviation and statistical hypothesis testing: T-test F-test and correlation analysis. Five appointed professionals had assessed the Index of Item - Objective Congruence (IOC) and the result of content validity for every item in the questionnaire was interpreted at 0.94 level with the reliability test result of the questionnaire at 0.9667 level.

The objectives of this research were (1) to study the influence of marketing mix which consisted of the dimensions of product or service price place and promotion on trust (2) the study the influence of marketing mix and trust on satisfaction (3) to study the influence of trust and satisfaction on loyalty of Siam Commercial Bank Public company Limited (4) to validate a causal relationship model of influence of marketing mix on trust satisfaction and customer loyalty of Siam Commercial Bank Public company Limited with empirical data. The variables in this investigation consisted of the following; marketing mix consist of the dimensions of product or service price place and promotion as the independent variables; trust and satisfaction as mediating variables; and customer loyalty as dependent variable. The researcher used quantitative methods which involved empirical research. The instrument of research was a questionnaire used to collect data form 421 customers of Siam Commercial Bank Public Company Limited Ratchadapisek (Thapra) Area office total 30 branches. The statistics in data analysis were frequency percentage mean standard deviation and structural equation model analysis. It was found the model was consistent with the empirical data. Goodness of fit measures were found to be Chi-square (x2) = 464.207; degree of freedom = 463; p-value = 0.479; Relative Chi-square (x2/ df) =1002; comparative fit index (CFI) = 1000 Standardized Root Mean Square Residual (SRMR) = 0.028; goodness of fit index (GFI) =0.942; adjusted goodness of fit index (AGFI) = 0.917; and Root Mean Square error of Approximation (RMSEA) = 0.002. It was also found that (1) marketing mix in the dimension of Product or service had a positive and direct influence on trust; (2) marketing mix in the dimension of price Had a positive and direct influence on trust; (3) marketing mix in the dimension of place had a positive and direct influence on trust; (4) marketing mix in the dimension of promotion had a positive and direct influence on trust; (5) marketing mix in the dimension of product or service had a positive and direct influence on satisfaction; (6) marketing mix in the dimension of price had a positive and direct influence on satisfaction; (7) marketing mix in the dimension of place had positive and direct influence on satisfaction; (8) marketing mix in the dimension of promotion had a positive and direct influence on satisfaction; (9) trust had positive and direct influence on satisfaction; (10) trust had a positive and direct influence on customer loyalty; and (11) satisfaction had a positive and direct influence customer loyalty. On the basis of these findings the researcher recommends that Branch of Siam Commercial Bank Public Company Limited more fully focus on marketing mix in the dimensions of product or service price place and promotion to deepen trust satisfaction and customer loyalty.

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 (1) To study the influence of price perceived values and emotional perceived on trust; (2) To study the influence of price perceived values emotional perceived values and trust on customer satisfaction; (3) To study the influence of trust and customer satisfaction on word-of-mouth; (4) To study the influence of trust and customer satisfaction on revisit and (5) To validate a causal relationship model of influence of price perceived values and emotional perceived values on trust customer satisfaction word-of-mouth and revisit of SF cinema city in Bangkok with empirical data. The variables in this investigation consisted of the following: price perceived values and emotional perceived values as the independent; trust and customer satisfaction as mediating variables; and word-of-mouth and revisit as a dependent variable. The researcher used quantitative methods which involved empirical research. The instrument of research was a questionnaire used to collect data from 520 customers of SF cinema city in Bangkok. Statistics used in data analysis were frequency percentage mean standard deviation and structural equation model analysis. It was found that the model was consistent with the empirical data. Goodness of fit measures were found to be Chi-square (2) = 288.293; Degree of freedom = 256; p-value = 0.081; Relative Chi-square (2/df) = 1.126; Goodness of Fit Index (GFI) = 0.965; Adjusted Goodness of Fit Index (AGFI) = 0.933; Comparative Fit Index (CFI) = 0.999; Standardized Root Mean Square Residual (SRMR) = 0.055 and Root Mean Square Error of Approximation (RMSEA) = 0.016. It was also found that (1) Price perceived value had a positive and direct influence on trust; (2) Emotional perceived value had a positive and direct influence on trust; (3) Price perceived value had a positive and direct influence on customer satisfaction; (4) Emotional perceived value had a positive and direct influence on customer satisfaction; (5) Trust had a positive and direct influence on customer satisfaction; (6) Trust had a positive and direct influence on word-of-mouth; (7) Trust had a positive and direct influence on Revisit; (8) Customer satisfaction had a positive and direct influence on word-of-mouth and (9) Customer satisfaction had a positive and direct influence on revisit. On the basis of these findings the researcher recommends that SF cinema city in Bangkok more fully focus on price perceived value and emotional perceived value to deepen the trust customer satisfaction word-of-mouth and revisit.