The objectives of this research are to propose a Bayesian model for spatial time series analysis to apply the proposed model to forecast a monthly rubber yield in Southern provinces of Thailand and to compare the performance of the proposed model with the classical Holt-Winters Additive Exponential smoothing. The proposed model is a linear mixed model (LMM) with spatial effects which follow a conditional autoregressive model (CAR). Dummy variables are used for seasonal effects. A Bayesian method is used for parameter estimation. The estimated monthly yields are used for the monthly rubber yield forecasting. The dependent variables are the rubber yield in each month of each province. The data are secondary data at a provincial level. The factors considered are spatial effects heterogeneity effects and seasonal effects. The results show that the factors influencing on the amount of rubber yields are spatial heterogeneity and seasonal effects. The proposed model is proper and forecast accurately. Using the mean absolute error (MAE) the proposed model has a better performance compared to the classical Holt-Winters Additive Exponential smoothing in both model fitting and model validating. The proposed model should be the first consideration for spatial time series forecasting.

This research objective is the Factors influencing the successful strengthening of supply chain management-oriented cooperation in export of Halal meat processing industry of Thailand to ASEAN countries. Examined the congruence of this model with empirical data which used quantitative research methods. Findings are us follows: (1) The factor of external (2) (3) The factor of cooperation (4) The factor of Halal logo (5) The factor of Halal quality (6) The factor of competitive advantage positively affected the successful strengthening of supply chain management-oriented cooperation in export of Halal meat processing industry of Thailand to ASEAN countries. But the factor of internal no positive effected. affected the successful strengthening of supply chain management-oriented cooperation in export of Halal meat processing industry of Thailand to ASEAN countries

The objectives of this research is to study the current competencies assess competency requirement of community enterprise (OTOP) entrepreneurs in the central region of Thailand and provide them guidelines toward ASEAN Economic Community. The research instruments used for data-gathering were semi-structured interview. The results of the interviews were created by using independent variables in questionnaire. The samplers of this research are the 189 community enterprise (OTOP) entrepreneurs with a 82.54% response rate. The results were as follows : Attributes and skills indicated by current competencies were at high level while knowledge was medium level. The competency requirement attributes skills and knowledge were at high level respectively. The fundamental preparation for competency of community enterprise (OTOP) entrepreneurs in the central region of Thailand toward ASEAN Economic Community should develop competencies in knowledge attributes and skills especially in the international trading regulation international language information technology and management. The community enterprise (OTOP) entrepreneurs should increase skills in the continuous expertise in product development and organization as well as seeking for new markets and creating continuous business networking including organizational innovation acceleration. The community enterprise (OTOP) entrepreneurs should develop attributes to seek for business opportunities widen continuous knowledge and innovation and increase potential organizational development. The suggestions were that the community enterprise (OTOP) entrepreneurs should develop competencies and seek for source of information and ask for government support to get into ASEAN Economic Community. The government sector should support knowledge skills attributes and cooperate with school financial and other to develop potential of community enterprise (OTOP) entrepreneurs in a long term.

The research was aimed at studying 1) work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand 2) the influence of work motivation and self-development towards work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand and 3) guidelines for improving work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand. The questionnaires were constructed as a research tool with content validity and reliability for collecting information from 997 accountants working for the companies registered in the Stock Exchange of Thailand. The data was statistically analyzed by SPSS version 16.0 and AMOS version 6.0 with frequency distribution percentage arithmetic mean standard deviation and structural equation model analysis: SEM. The research findings indicated that the accountants in the sample group had maintenance and motivator factors in their work motivation at high level (  =3.56) and they also had professional emotional and physical development in their self-development at high level while their social development was at moderate level. Totally it said the self-development was at high level (  =3.60) and the work efficiency was 60.31%. The urgent guidelines for improving work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand were setting more appropriate working environment such as temperature brightness smell noise cleanliness safety furniture and office supplies. Furthermore the influence of maintenance and motivator factors in the work motivation and self-development had casual relationship with work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand at a statistical significance of the 0.05 and had ability to predict at good level and acceptably because the square multiple orrelation was 87.6% which its acceptance was 40% up presented by structural equation model analysis: SEM as follow: SeD = 0.070 MaF + 0.723* MoF; R2 = 0.528 WE = 0.340* MaF + 0.746* MoF+ 0.450* SeD; R2 = 0.876

The objective of this research is to select a proper cumulative function for trend in an analysis of simultaneous multiple time series data with autocorrelation trend and outliers using a Bayesian method. The proposed model is applied to fluctuate stock price data in the stock exchange of Thailand. The data consist of the closing prices of 5 stocks. The algorithms are written in OpenBUGS and the performance of the model is evaluated via a simulation study in R. The cumulative distribution functions considered here are a Weibull cumulative distribution function and an exponential cumulative distribution. They are compared using RMSE MAPE and MAE as criteria. The research found that an exponential cumulative function for trends gives smaller values of the three criteria in both model fitting and model validation for the4 stocks EA NWR and KTB. However a Weibull cumulative distribution function gives smaller values of three criteria for the PTT in both model fitting and model validation.