The research objectives were to study the correlation between the social information disclosure and the performance and the impact of corporate governance on the correlation between the social information disclosure and the performance of companies listed on The Stock Exchange of Thailand SET100 group. The information was collected from the notes to the financial statements annual registration statements (Form 56-1) and annual reports from 2016 to 2020 of 68 companies. Data were analyzed by using descriptive statistics such as mean standard deviation percentage and inferences statistics include Multiple Regression Analysis. The study results found that the social information disclosure on consumer responsibility is in line with Return on Equity (ROE). The disclosure on innovation and innovation dissemination from social responsibility practices correlates in the negative direction to Return on Equity (ROE). In addition the disclosure on anti-corruption was inversely related to Return on Assets (ROA). On the impact of corporate governance on the size of the Board of Directors and the shareholding proportion of the major shareholders there is a negative correlation between social information disclosure on anti-corruption and Rate of Return on Assets (ROA). There is a negative correlation between the proportion of independent directors and social information disclosure on innovation and innovation dissemination from social responsibility practices and Return on Assets (ROA). There is a positive correlation between the percentage of shares held by management and directors and social information disclosure on coporate governance and environmental management and Return on Assets (ROA). There is a negative correlation between the percentage of shares held by management and directors & the position merging of Managing Director and Chairman of the Board and social information disclosure on human right records and Return on Assets (ROA). There is a positive correlation between the merging of the Managing Director & Chairman of the Board and social information disclosure on consumer responsibility and Return on Assets (ROA). There is a positive correlation between size of the board of directors & the shareholding proportion of the major shareholders and social information disclosure on human right records and Rate of Return on Equity (ROE). There is a positive correlation between size of the board of directors the proportion of independent directors shareholding percentage of major shareholders and the position merging of Managing Director and Chairman of the Board and social information disclosure on consumer responsibility and Rate of Return on Equity (ROE). There is a negative correlation between size of the board of directors the proportion of independent directors and the shareholding proportion of the major shareholders and social information disclosure on innovation and innovation dissemination from social responsibility practices and Rate of Return on Equity (ROE). There is a negative correlation between shareholding proportion of executives & directors and social information disclosure on human right records and innovation and innovation dissemination from social responsibility practices and Rate of Return on Equity (ROE). There is a positive correlation between and the merging of the Managing Director & Chairman of the Board and social information disclosure of fair treatment of workers and Return on Equity (ROE). The correlations are statistically significant at 0.01 and 0.05 levels.

This study examines perceived organizational crisis preparedness of corporations listed in SET 100 and compares the differences on organizational characteristics among these companies. Samples of 400 employees in eight companies in different industries listed in SET 100 were purposively selected to participate in this study by using non-probability sampling approach. A 30 items of self-administrated questionnaires were equally distributed to these eight companies and only six companies returned the total of 300 questionnaires with the completion. The descriptive statistics were used to analyze the level of perceived organizational crisis preparedness and to compare mean differences of independent variables on perceived organizational crisis preparedness. The results showed that the total mean score of perceived organizational crisis preparedness of respondents were “high” (Mean=3.11 S.D. = .397). Also findings indicated that female had a higher perception of organizational crisis preparedness than male; top manager had higher perception than other levels of manager; respondents who worked at the organization that had more than 6000 employees had higher perception than smaller size companies; executives had a higher perception than the employees; respondents who held graduate degree had higher perception than respondents who earned other degrees; employees with more than 20 years of working experience had higher perception of organizational crisis preparedness than employees with 1-20 years of working experience; respondents who worked in property and construction industry had the higher perception of organizational crisis preparedness than other industries; and employees with education crisis had a higher level of perceived organizational preparedness than employees without education crisis.

This research is the comparative study of three forecasting methods on SET 100 index. These methods are Simple Exponential Smoothing method Holts method and Box-Jenkins method. Two sets of data were used in this study. The first one used as a training set was collected from January 2 2008 to September 30 2011. The other one used as a testing set was collected from October 3 2011 to October 14 2011. We propose that the most appropriate forecasting method is the one which give the lowest MAE MSE MAPE and diagnostic checking. The results show that Holt’s method displays the lowest MAE MSE and MAPE. The next one is Box-Jenkins method while the Simple Exponential Smoothing method exhibits the highest value of all three indicators. However the model from Box-Jenkins method is the only one way that reveals no residual autocorrelation. This leads to the conclusion that the appropriate models for forecasting of SET 100 Index is ARIMA (213).