This paper was a survey research with the objectives 1) to compare the differences of demographic characteristics; 2) to measure the service satisfaction and; 3) to study the impact of marketing communication on the service satisfaction toward the K - Cyber Banking of consumers in Bangkok. The sample population was people at age between 20 - 60 years old who lived in Bangkok and used the K - Cyber Banking service provided by Kasikorn Bank through www.kasikornbank.com. The research based on the respondents’ feedback received through distributed research questionnaire. The analytical statistics included mean percentage frequency distribution standard deviation and the statistics on the hypothesis testing included value testing one-way analysis of variance and the “Enter Multiple Regression Analysis”. The research results found that most of the respondents were married female at age 30 - 39 years old obtained bachelor degree worked as employees of private organizations with an average of THB 20001 - 30000 of monthly income. From the hypothesis found that 1) the differences in consumers’ demographic characteristic i.e. age education career average monthly income caused the differences in service satisfaction of the K - Cyber Banking with statistically significant at .05 excepted gender and marital status which did not cause any differences and; 2) marketing communications affecting Bangkok consumers’ satisfactions with the K - Cyber Banking was statistically significant at .05 with the two factors that included public relations (increased by 15.60%) and sales promotions (increased by 11.40%).

The objectives of this research are to propose a proper model for risk assessment for drought in Thailand. A hidden Markov model is adopted. The results indicate that the amount of rainfall depends on the hidden states drought or non-drought state. If the state changes from drought to non-drought the amount of rain will increase. The probability of changing from drought state to non-drought state is higher than from drought state to drought state. The probability of drought occurrence in February is highest followed by in November March December January July April June October September August and May respectively. When the temperature increases the probability of drought occurrence will increase.

The purpose of this independent study to study the demographic factors that affect the buying decision of Reebok products in Bangkok and to study marketing communication channels that affect to the buying decision of Reebok products in Bangkok. This research is quantitative research using survey and questionnaire as a tool to collect data from the 400 samples in Bangkok. The result of this research found that the majority of them were single female consumers were in the age range between 21-25 years old and hold bachelor’s degree or equivalent working at a private company and earning the personal income between 10000 – 20000 baht. While the marketing communication channels found that the most important factor was Personal selling followed by Sales promotion and Public Relations. Moreover in decision making the marketing communications channel had influenced consumer buying decisions in Bangkok. The statistically significant level at .05 was the Public Relations factor Sales promotion factors Personal selling factors staff and Direct marketing factors. While advertising factors do not affect consumers decision to buy Reebok products.

The objectives of this research are to propose a proper model for detecting defective machines in auto parts factories to apply the proposed model to the defective product data and to investigate the factors influencing on the machine producing defective products. A Bayesian hidden Markov model (HMM) is adopted. The results show that if the number of defective products increases the machine will be in the hidden bad state. The probability of changing from a hidden bad state to a hidden good state is higher than the probability of changing from a hidden good state to a hidden good state. The highest probability that the machine will be in a good state is at the work process 4 followed by 1 3 and 2 respectively. The highest probability that the machine will be in hidden good state is at the Worker no. 10 followed 9 3 12 7 2 1 6 11 4 8 and 5 respectively and The highest probability that the machine will be in the hidden good state is at the product type 1 followed by 2 and 3 respectively.

The objectives of the study were : 1) to study the character of Generation y effecting to buying decision at convenience stores. 2) to study the communication channels effecting to buying decision at convenience stores. The sample group was 500 graduation single females age between 25-29 years old working in private companies monthly income between 30000 – 40000 baht. The instruments used in the study were 1) the questionnaire and 2) the multiple regression analysis. The frequency percentage and mean were the parameters used for statistical analysis. The result of the study were 1) the most frequent buying store was 7-11 2) the most frequent communication channel was LINE application 3) the most frequent connecting tools were smartphone and tablet and 4) the most frequent payment channel was convenience stores. The finding of Generation Y population’s character analysis showed that occupations the convenience stores’ brand and connecting tools had effected to buying decision at the convenience stores and it is statistically significant at .05 level. For the marketing communication channels analysis showed that Advertising Sales Promotion Public Relations and Publicity Online and Social media Marketing Mobile Marketing Direct and Database Marketing and Personal selling were effected to buying decision at convenience stores.