This research was aimed to analyze work performance classified by personal information to investigate internal factors of support personnel work performance and influence of internal factors affecting work performance of the support personnel at Rajamangala University of Technology Phra Nakhon. The population used in this study was 693 staff working at Rajamangala University of Technology Phra Nakhon Bangkok. The sample size was determined by Craig and Morgan method to draw out 250 samples. The research instrument was a questionnaire constructed by the researcher to collect data manually. The data obtained from the questionnaire were analyzed using percentage mean standard deviation and T-test F-test ANOVA Pearson coefficient and multiple regression analysis. The research revealed the results as follows. Work performance of the support personnel of Rajamangala University of Technology Phra Nakhon in the overall was at high level with the mean Organization factors of the support personnel of Rajamangala University of Technology Phra Nakhon in the overall was at high level with the The results of the study on personal factors agreed with the overall performance of Rajamangala University of Technology Phra Nakhon personnel. It was found that the status salary and educationhours and working centers were significantly different .

The purposes of this research were to investigate the perception on activity maneuver and supporting factors regarding employees participation in Corporate Social Responsibility (CSR). The sample consisted of 250 employees of Prachin Buri Industrial Estate 304 Prachin Buri Province. The research results are as follows. The employees’ perception on activity maneuver information in CSR in the overall was at the highest level (= 4.62 S.D. = 0.44). The overall perception on the information had a statistically significant positive relationship with employees’ participation at the .01 level (r = .347). When considering each aspect the perception on activity information positively correlated with participation in CSR activities at the .01 level of significance (r = .295). The results of the appropriate model analysis used to forecast the employees’ perception on CSR activity indicated that the perception of policy information had a p-value of .012 meaning that the policy factor could predict the employees’ information perception at 0.05 statistical significance with a tolerance of .704 the VIF was 1.420. As for the planning aspect the tolerance value was .617 with the VIF value of 1.621 and the activity guideline aspect had its tolerance value of .532 with the VIF value of 1.881. This means that the perception regarding policy planning and guideline aspects was not beyond the Multicollinearity variables because their tolerance values were not lower than .2 and VIF did not exceed 10. Also the results of the regression coefficient analysis of factors affecting the information perception on CSR activities in the form of raw scores (B) were .298 .168 and .209 indicating that the variables predicting the perceived social responsibility included policy (X1) planning (X2) and activity guidelines (X3) and the three variables can together predict the level of awareness of CSR activities. These three factors could jointly predict the information perception on CRS at 11 percent. Factors promoting the employee participation on social responsibility were generally at a moderate level ( = 2.94 S.D. = 1.22) and there was a statistically significant positive correlation with employee participation at the .01 level (r = .855). When looking at each aspect it was found that factors promoting the employee participation in training and activities were positively related to the social responsibility aspect statistically significant at .01 (r = .773) and (r = .841). The results of the analysis of the appropriate models used to predict the factors contributing to employee participation showed that employees’ activity and training participation had the positive influence on CSR activities with p-value of .000 and .001 which was less than 0.05 indicating that their attendance could predict promoting factors of the employee participation statistically significant at the .05 level. This means activity and training participation factors could contribute to the promotion of employee participation statistically significant at the .05 level. While the training had a tolerance value of .225 the VIF value of 4.450 the activity participation had a tolerance value of .259 the VIF value of 3.858. As for being a group member the tolerance ship was .193 with the VIF value of 5.185 showing that participating in training and membership did not go beyond the Multicollinearity due to the tolerance value of not less than 2 and VIF value of not more than 10. The result of the regression coefficient analysis of factors affecting the level of factors contributing to employee participation on CSR operations were .157 .391 and .028 showing that the predicting variables of the employee participation promotion were training (X4) and participation (X5) and group membership (X6). The three variables could predict the level of factors contributing to employees participation on CRS at 72.70%

The objective of this research is to study the suitable factor level for the improvement of annealing furnace for rolled coils steel sheet. The experimenting has been performed to find suitable oxygen level by 5 annealing furnace experiment. The research has been started by collection the combustion. After that the burning adjustment by changing combustion technology with 5 levels of BGCV control valve open as 23% 40% 50% 75% and 100% has been implemented. The combustion adjustment data are recorded analyzed and compared with incomplete combustion value. The research result has been found that after improvement the combustion value. The percentage of oxygen level are improved to the better quality which standard at MV0-49% equal 2.5-4 O2% and MV50-100% equal 1.5-2.5 O2% conclusion 1 furnace as follows at the MV23.1% MV40% MV50% MV75% and MV100% level of oxygen as 2.5% 3% 3% 2% 1.5% and level of carbon monoxide as 0 ppm 2 ppm 2 ppm 2 ppm and 0 ppm respectively. Resulting of fuel energy consumption in the annealing process has been reduced around 225608 baht /year/furnace. Therefore it can depict that energy saving and annealing furnace efficiency improving are increased. The modified parameters will be applied to be the new standard reference values for the further engineer’s operational manual.

This research aimed to study the factors affecting return of gold futures in Thailand futures exchange. The study used the daily historical data of five years from January 1 2011 - December 31 2015. There were five factors to be used in the study. They were Interbank Rate Set Index Exchange World Crude Oil Price and Gold Price and Used the Descriptive statistics to test the basic data and the Multiple Regression Analysis to test the hypothesis. The study found that the Interbank Rate Set Index Exchange Rate World Crude Oil Price and Gold Price were able to forecast the Coefficient of Determination (R2) approximately at 0.617. It showed that the independent variables in the model could explain the change of dependent variable at 61.70% and found that the most affecting factors on return of gold futures were Gold Price and Interbank rate by having the same directional relationship with the return of the Gold Futures in the Thailand Futures Exchange.

The objectives of the research were; 1) to Study the level of competitive advantage and 2) the factors that its influences through the competitive advantage. The population and sample group used in this research were an executive director owner manager general manager and the chief accountant and finance of 3-5 star hotels and resorts in Phuket by using questionnaire (IOC tested) the construct validity and reliability for 89 complete questionnaire that it was responded rate 23.18. The results of this investigation were as follows: 1) An efficiency of using asset to make a profit; Impact of competitive environment was found that the negative result in significant level at (α˂0.10). 2) Customer loyalty for products and services was found that the positive influencing factors such as good corporate governance at (α˂0.01); strategic management efficiency at (α˂0.01); and Internal controls effective following COSO at (α˂0.10) respectively. 3) Reputation of the business was found that the Positive influencing factors such as Internal controls effective following COSO (α ˂ 0.01); Good corporate governance and Strategic management efficiency at (α ˂ 0.05). and 4) Value of assets that value added to business was found that the positive influencing factors as well as Strategic management efficiency; Internal controls effective following COSO respectively in statistically significant level at (α ˂ 0.01). While the technology and innovation (α˂0.05) and good corporate governance positive that made the influences beyond the positive regression in statistically significant level at (α ˂ 0.10) respectively. Keywords : Competitive Advantage; Internal Controls Effective following COSO; Strategic Management Efficiency; Impacet of Competitive Environment; Good Corporate Governance; and Technology and Innovation