The study on the analysis of long-term relationship among stock markets from ASEAN trading linkage: After Integration was aimed to investigate its long-term relationships as well as the short-term adjustability to establish balance among the stock markets in Thailand Malaysia and Singapore after the ASEAN unification. The research data were compiled daily from the stock markets in the three countries from 16 October 2012 until 30 December 2014. The analysis was to obtain long-term cointegration using Johansen and short-term adjustable ability to gain balance with Vector Error Correction Model (VECM) The result revealed that ASEAN trading link showed long-term relationships in good balance as well as short-term adjustable ability to gain balance of the models among the three countries. It was found that factors influencing Thailand and Malaysia stock markets were accordingly correlated opposed from Singapore which means that the three countries are well-balanced in the long and short run. It may be concluded that the stock markets in the three countries will demonstrate good integration after the ASEAN Trading Link

This research aims to 1) study the demographic features to the view of the competitive potential in telecommunication business in Bangkok Metropolitan Region totally 4 sale departments and Metropolitan customer service department. 2) study the association of the effectiveness of marketing communication mix and corporate image in order to promote telecommunication business in Bangkok Metropolitan Region totally 4 sale departments and Metropolitan customer service department. 3) study the association of corporate image in order to promote and increase its potential to compete in telecommunication business in Bangkok Metropolitan Region totally 4 sale departments and Metropolitan customer service department. and 4) study the association of the effectiveness of marketing communication mix and competitive potential in telecommunication business in Bangkok Metropolitan Region totally 4 sale departments and Metropolitan customer service department. The Purposive Sampling was selected as a method to figure out a sample group who was the staff of TOT Public Company Limited in Bangkok. Staff’s job position were as follows; 1) Customer Service Center Manager 2) Financial Administrator and 3) Services Administrator 195 persons in total. The data were collected by using the questionnaire which was divided into 5 parts. The first part was the general information of the respondent’s status. The second part was the viewpoint of the marketing communication mix. The third part was the viewpoint of the corporate image in order to promote marketing. The fourth part was the viewpoint of the competitive potential in telecommunication business. And the fifth part was the closed-ended questions of the problem and solutions. This research was using descriptive statistics to analyze such as frequency percentage average SD (Standard Deviation) t-test One way ANOVA and Pearson‘s Correlation Coefficient analysis as hypothesis testing.

The purpose of the study on the association between factors affecting environmental information disclosure quality of listed companies in the Stock Exchange of Thailand was to investigate factors which posed impacts on the listed companies in Thailand Stock Exchange using the information from 2007 to 2011. The data applied Multiple Regression Analysis to test the relationship between the dependent variable environmental information disclosure quality and independent variable which included the ability to compete the ability to make profits business liquidity operation period business industry and business size as control variables. The result showed that the ability to compete was significantly related to the quality of the environmental information disclosure. This means that the higher competition the more environmental information disclosure. Regarding the other variables such as the ability to make profits business liquidity and operation period did significantly not relate to the environmental information disclosure quality. Moreover business size had significant positive association with the quality of the environmental information disclosure which means that bigger businesses are more capable to reveal their environmental information than the smaller ones. The information disclosure qualities in terms of resources legalization and sustainability were reported more highly than others. However the companies producing industrial products disclosed their companies’ policies more while service industries revealed more about their accounting and financial information which related to the environment.

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 are to estimate the morbidity rates of Leptospirosis in each month of all provinces in Thailand to determine the trend of leptospirosis over time to investigate factors influencing on the morbidity rates and to construct the disease maps of the leptospirosis. The generalized linear mixed model (GLMM) in which the spatial effects follow the conditional autoregressive model (CAR) and the temporal effects follow a linear trend. The estimated morbidity rates are used to construct the disease maps. The dependent variables are the numbers of leptospirosis patients in each month of each province and are assumed to have a Poisson distribution. The data are secondary data at a provincial level. The factors considered are rainfall averaged temperatures and regions. The results show that the factors influencing on the morbidity rates are rainfall (Relative Risk (RR) = 1.0013) averaged temperature (RR = 0.9922) north region (RR = 10.6440) northeast region (RR = 14.3249) southern region (RR = 15.5491) western region (RR = 3.6219) and eastern region (RR = 1.0103) where the central region is a reference region and a linear trend (RR = 1.0183). The top ten province and months with high morbidity rates (per 1000000 population) ranking from largest to smallest values are Phangnga in September (59.00) Phangnga in August (33.49) Sisaket in October (23.14) Sisaket in August ศรีสะเกษ (22.60) Sisaket in September (22.57) Phngnga in October (22.55) Loei in September (21.11) Phangnga in July (20.81) Phangnga in May (20.72) and Phangnga in June (20.47) respectively. The leptospirosis maps are easy for readers to identify which areas are at high risk. They are a useful tool for planning and controlling the leptospirosis.