The purposes of this research were (1) to study the usage behavior of social media for the purpose of reading or viewing beauty products based on blogger recommendations (2) to study factors of blogger recommendations of beauty products (3) to study the behavior of decision making to purchase beauty products based on blogger recommendations (4) to study personal factors and behavior of decision making to purchase beauty products based on blogger recommendations (5) to study the relation between the usage behavior of social media for the purpose of reading or viewing beauty products based on blogger recommendations and the behavior of decision making to purchase beauty products based on blogger recommendations and (5) to study the relation between factors of blogger recommendations of beauty products. 400 persons were included as a sample. The data was gathered by using questionnaires and being analyzed by methods of calculating frequency percentage average standard deviation one-way ANOVA and multiple regression analysis. The results of the research were as follows; Considering the usage behavior of social media for the purpose of reading or viewing beauty products based on blogger recommendations. It was found that most consumers decide to purchase beauty products because of an interesting product presentation and the facial beauty products are the most purchased products by the consumers. In an overall picture the consumers agree with the factors of blogger recommendations of beauty products at a very good level and the factor of blogger is the most agreed factor.

The objectives of this research are to study about character factors of entrepreneur which influence to using of marketing strategy via online channel and to study about the importance of marketing strategy factors. This study also explains the relationship between internal and external factors and the using of marketing strategy. This study collects data from 337 online questionnaires and then analyzed data with ANOVA statistic and Pearson’s Correlation. The findings reveal that factors about characteristic of entrepreneur e.g. time of operating monthly average revenues type of business amount of capital and amount of employees influence to using of marketing strategy. The entrepreneurs consider internal factors e.g. suppliers customers competitors and delivery as an important level which affect to business. The external factors such as economics political and legal system cultures and social and technology are also important. The internal factors are highly correlated to using of marketing strategy. Moreover the external factors are correlated to using of marketing strategy at moderate level. This findings suggest that entrepreneurs pay attention only to deliver products to customer on time to give them with the most satisfactory. In additional entrepreneurs should pay more attention to get on time delivery from suppliers by following supply chain management concept which entrepreneur must keep long term relationship with suppliers in order to get maximize profit.

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.

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 aim to study about demographic factors which influence customers’ behaviors for online products and to study about the importance of marketing mix factors of customers. This research also study about the relationship between marketing mix factors and customers’ buying decision for online products. This research collects data from 384 online questionnaires and then analyzes data with Chi-Square test and Chi-Square Correlation. The research reveals that the difference of demographic factors influence to customers’ buying decision for online products by genders age education occupation average revenues and marital status. The customer recognized marketing mix factors as an important level which consistent to Kotler and Armstrong (2009) model. They indicate that marketing mix factors influence buying behaviors of customer. The most important of marketing mix factor from customers’ perspective is the process factor. The marketing mix factors (Product Price Place Promotion People Process and Physical Evidence) are related to customers’ behaviors in some aspects. The findings suggest that entrepreneur should pay more attention on the marketing mix by presenting unique online products to make differentiate from the other products in common shop. This might motivate customer’s behaviors for buying more online products. Moreover entrepreneurs should precisely focus on quality of products because consumers always complain about quality of products which exaggerated from advertisement. From this reason make consumers gain negative attitudes from buying online products which affect to next buying from customers.