The objectives of this research were to study the personal and environment and investment experiences factors influencing decision making to invest in the provident funds of The Office of the Rubber Replanting Aid Fund’s Staffs. The sample consisted of 341 persons from Rubber Replanting Aid Fund’s staffs at Bangkok office (central region). The research instrument was a questionnaire and using the descriptive statistic such as mean percentage standard deviation to analyze the data and Exploratory Factor Analysis : EFA and Binary Logistic Regression Analysis to test the hypothesis. The results of the study found that sex age the knowledge and investment experiences the risks of investment the economy the politics differences influencing the decision making to invest in the provident funds of The Office of the Rubber Replanting Aid Fund’s Staffs at statistically 0.05 significant level.

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 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

The purposes of this research are to study the causal relationship model about the influence of social responsibility on corporate image and brand loyalty of bird’s nest industry and to verify the consistency of the model with empirical data. 352 samples are the consumers of bird’s nest product who live or work in Bangkok. The research tools include questionnaire Statistical Package for the Social Science for Windows Program for statistical analysis and Linear Structural Relationship Model for analyzing causal relationship model. The result shows that the model of the influence of social responsibility on corporate image and brand loyalty of bird’s nest industry is consistent with empirical data considered by the chi-square statistics = 18.86 df = 11 p–value = 0.06 GFI = 0.99 AGFI = 0.95 SRMR = 0.021 RMSEA = 0.045. All variables in the model indicate that the variance of the brand loyalty of bird’s nest industry is at 77%. The social responsibility has a positive direct influence on the brand loyalty and indirect influence on the corporate image. Moreover the corporate image directly influences the brand loyalty. The result indicates that positive social responsibility makes good corporate image and it resulted in brand loyalty.

This research aimed 1) to study levels of transformational leadership innovative climate knowledge management systems innovative work behaviors and firm performances 2) to investigate causal relationship of transformational leadership innovative climate knowledge management system as well as innovative work behaviors which influenced on performances of the Medical Device Business in Thailand 3) to examine relevance of those variables along with causal relationships of the antecedents affecting performance of the Medical Device Business in Thailand to empirical data. Data were collected from 312 middle level managers in Medical Device Business in Thailand by using questionnaires as a research instrument. All of the data were analyzed using Structural Equation Model. The analysis of correlation coefficient model showed that the latent variables significantly related to one other at statistical level of 0.001. The analysis of structural equation model (SEM) revealed that the model was completely compatible with the empirical data and the hypothesis. (GFI = 0.933 CFI = 0.972 RMSEA = 0.078 RMR = 0.018) The findings also showed that transformational leadership significantly affected innovative work behaviors at statistical level of 0.001. Similarly innovative climate significantly affected innovative work behaviors at statistical level of 0.001. Likewise knowledge management system significantly affected innovative work behaviors at statistical level of 0.001. Finally innovative work behaviors significantly and directly affected the firm performance at statistical level of 0.05.