This research aims to study the influences of sustainability management of environmental social and governance on sustainable corporate finance of the listed companies in the Stock Exchange of Thailand including 1) the listed companies which have been selected to continuously get the Thailand Sustainability Investment award all of 29 companies and 2) the listed companies which have been selected to discontinuously get the Thailand Sustainability Investment award all of 17 companies for 6 years from 2015 to 2018. This research is the mixed method research in both the Quantitative Research by using Descriptive Statistic Analysis Comparison of means Analysis Correlation Coefficient Analysis and Panel Data Regression Analysis with Hausman Test and the Qualitative Research by in-depth interview with 5 persons of the management of the Thailand Sustainability Investment awarded companies. The research results revealed that in continued Thailand Sustainability Investment awarded companies the sustainability management of Environmental has negatively statistically significantly influenced the sustainable corporate finance by making Debt to Assets (DAR) to decrease and positively statistically significantly influenced it by making Market Value (TBQ) Return on Equity (ROE) and Return on Assets (ROA) to increase. In discontinued Thailand Sustainability Investment awarded companies it found that the sustainability management of Social has negatively statistically significantly influenced sustainable finance by making Debt to Assets (DAR) to decrease and the sustainability management of governance has positively statistically significantly influenced sustainable corporate finance by making Market Value (TBQ) Return on Assets (ROA) and Return on Equity (ROE) to increase.

The research objective was to study social responsibility corporate governance mechanisms and audit quality that affect the operations of companies listed on the Stock Exchange of Thailand. The population used in this study was 76 companies listed on the Stock Exchange of Thailand. The annual financial data was from year 2016 to 2020. The data were analyzed using descriptive statistics such as mean standard deviation percentage and inferential statistics such as correlation analysis (Pearsons Correlation Coefficient) and Multiple Regression Analysis. The study found that the social responsibility on consumer responsibility (PRCI) was positively correlated with market share (MS). Environmental stewardship (EN) was positively correlated with Return on Assets (ROA) and company value (NVP). Innovative and outreach (CSRI) is negatively correlated with Return on Assets (ROA) and company value (NVP). Community or social development (CID) was negatively correlated with Return on Assets (ROA) and company value (NVP). Fair operation (SFOP) was negatively correlated with market share (MS). Anti-corruption (AC) was negatively correlated with market share (MS). Institutional investor shareholding (IS) was positively correlated with Return on Assets (ROA). Number of meetings (NBM) was negatively correlated with Return on Assets (ROA) and market share (MS). Institutional investor shareholding (IS) was negatively correlated with company value (NVP). Audit firm size (size) was positively correlated with Return on Assets (ROA) and company value (NVP) but negatively correlated with market share (MS). Compensation paid by auditors to LN clients (compensation) was positively correlated with company value (NVP).

The objective of this study is to observe the relationship between Budget Management and Effectiveness of private schools in Bangkok. The population and sample groups of this study include 691 schools in which 123 focused samples derived from determining samples’ sizes are according to Krejcie and Morgan’s Table. The data used in this study is provided by school administrators chief budget accountants and teachers. The employed study instrument used in collecting data is overall four-part questionnaire survey. Collected data is statistically analyzed by percentage arithmetic mean standard deviation correlation coefficient of Pearson and Multiple Regression Analysis The finding of this research reveals that 1)Private schools’ Budget Administration around Bangkok is general and in each aspect were at a high level : the highest arithmetic mean is account management aspect followed by budget allocation. 2) Private schools’ Effectiveness is general and in each aspect were at a high level : the highest arithmetic mean is teachers satisfaction aspect followed by the ability to adapt from internal and external factors respectively. 3)There is also a positive relationship between schools budget management and schools effectiveness with statistical significance at 0.01

The objectives of this study were to investigate inventory management with logistics systems affecting balanced scorecard (BSC) and to study the balanced scorecard (BSC) affecting organizational sustainability. The population used in this study was under the supervision of the Thai Auto Parts Manufacturers Association. A questionnaire was used as a research instrument for collecting data from accounting executives accounting staff and other related line staff. Data were analyzed using descriptive statistics such as mean standard deviation and percentage and inferential statistics including Pearsons Correlation Coefficient and Multiple Regression Analysis. The major findings indicated that 1) Inventory management with a logistic system positively effected operating results. 2) The performance of the organization had a positive effect on the sustainability of the organization. The study showed that agencies or organizations that rely on inventory storage manage their warehouses better when the logistics system plays a role in managing various systems within the warehouse. Organizations do not have to store excess inventory resulting in liquidity. Reduced Inventory costs also result in lower total costs. The selling price can be set lower than the competitors. Businesses earn more profits which positively affects the balanced scorecard (BSC) in all four organization perspectives. When the balanced scorecard (BSC) continues to improve the organization will grow sustainably.

This research is to develop a prototype of a salinity intrusion monitoring system using fuzzy logic to extract salinity values. A system is developed according to a fuzzy logic model using FAOs for appropriate agricultural water quality data considering the electrical conductivity (EC) and total dissolved solids (TDS) as indicators of the salinity value by using the Fuzzy Logic Toolbox to produce and test the generated model. Transformation of the generated models to Embedded C format using the Simulink Coder tool installed in the ARM STM32F microcontroller and a 10-fold cross-validation test was used to validate the data extraction. The Root Mean Square Error (RMSE) for the test results was 0.58175 on average. This research result indicates that the generated model is able to extract data that very closely matches the specified data.