The purpose of this research was to study the characteristics of the audit committee to reduce the companys chances of receiving modified audit opinions from the audit. This study used the data from the annual reports of the companies listed on the Stock Exchange of Thailand between the year 2015 to 2018. The data used were the audit committees and modified audit opinions of 211 companies consisted of 92 industrial product companies and 119 companies in service provider category. The variable data were analyzed by using descriptive statistics and inferential statistics then the logistic regression correlation analysis Pearson correlation matrix and logistic regression analysis were used to test the hypotheses. The independent variables were audit committee characteristics consisted of the independence size number of meetings and accounting or financial expertise. The dependent variable was the modified audit opinions. The results revealed that the number of meetings of the audit committee was the only variables of the audit committee characteristics that showed a positive correlation with the modified audit opinions. There was no significant relationship between the independence of the audit committee the audit committee size the expertise in accounting or finance and the modified audit opinions. The equation of predicting the characteristics of the audit committee which is an important part of corporate governance significantly showed that it had no influence on reducing the chance that the company would receive a modified audit opinion. However the research results suggested the evidences in policy implications and operation of corporate governance in characteristics of effective audit committee. The audit committee meetings not only the numbers but also the quality of the meetings should be considered to enhance corporate governance efficacy concerning the quality of financial reports

Changes in any circumstances tended to be faster no matter on the aspect of economic social or culture. Especially changes as we had stepped into the 21st century a technology driven creative and innovative era. Therefore the organizations were unavoidably to process with changes because the former successful management and operation may be outdated and prevented the organizations to attain the goals. From this significance the researcher then interested to study on “the influences of Job characteristics and perceived organization support affect to adjustment and performance of employee: a case study of Siam Commercial Bank in Nonthaburi province.” Research objective was to study on the influences of Job characteristics affect to adjustment of employee the influences of perceived organization support affect to adjustment of employee and the influences of employee adjustment affect to performance of employee. Questionnaire was used as the tool for data collection from 255 samples. Data analysis was to seek for the relationship between variables using CFA and hypotheses testing via Structural Equation Modeling (SEM). It was found from the results that Job characteristics perceived organization support and employee adjustment had p-value that lesser than 0.05. Therefore this can be summed that work attributes and perceived organization support had the positive influences toward employee adjustment. In addition the employee adjustment had positive relationship with employee performance. According to the results organization leader shall foresee the significance of work assignment and supporting system to motivate for work inspiration. It was to form the internal motivation positive thinking and attitude to boost up the team spirit. This would result on creativity and novel things. Moreover it would consider to take good care on the needs and differences of each person to promote for good relationship and work support or development for person to achieve their own and mutual goals.

Data visualization technology is going to grow in importance in the short term. This technology is a concept that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns trends and correlations that may go unnoticed in text-based data can be more easily exposed and recognized data visualization software. The purpose of this research is to develop the interactive dashboard of Thai temple data in Nonthaburi province and finding out the users’ satisfaction with the dashboard. The tools used in the research were Data Studio software online questionnaires mean and standard deviation statistics. The results of the overall satisfaction evaluated by participants of 100 users who were people living in Nonthaburi province is at the highest level at a mean of 3.80. Therefore the results of this research can be applied to any Office of Buddhism that face with similar issues of data analytics

The research objective was to study the market mix factors (7Ps) that affect the decision to use the domestic airline service of Thai passengers at Suvarnabhumi Airport. The population used in the study was Thai passengers that used four domestic airlines at Suvarnabhumi Airport namely Thai Airways Thai Smile Airways Bangkok Airways and Vietjet Airlines. The sample number was 100 passengers per airline or a total of 400 people. The statistics used in the data analysis were percentage mean standard deviation mean difference analysis (One-way ANOVA) and multiple regression analysis. The study results found that most of the passengers who used domestic airlines focused on the overall marketing mix factor (7Ps) at Very Important level. That affected the overall decision to choose the domestic airline service at Very Important level. The hypothesis testing revealed that the different demographic factors in terms of gender age status educational level and average monthly income affected the selection of domestic airlines differently. Marketing mix factors (7Ps) on products physical evidence and process affected the selection of domestic airlines at a statistically significant level of 0.05.

This research aimed to study the influence of P/E ratio and market capitalization on returns of the securities in the energy sector in the Stock Exchange of Thailand. In this research the researcher has studied and collected data from the closing prices of the securities in energy sector that are currently traded in the Stock Exchange of Thailand. From January 2015 to December 2019 from the Stock Exchange of Thailand 15 companies and used descriptive analysis mean and standard deviation to test the relationship between independent variables by using correlation analysis and multiple regression analysis to determine the influence of P/E ratio and market capitalization on returns of the securities in the energy sector. The results of the research showed that the P/E ratio had a significant positive influence on returns of the energy securities in the Stock Exchange of Thailand. The market capitalization factor also found that it had no influence on returns of the energy securities in the Stock Exchange of Thailand.