The purpose of this research were to explore factors affecting success of medium size chain restaurant entrepreneurs and to present the keys success of medium size chain restaurant entrepreneurs. This research was mix methods research. The data of qualitative research were collected by In-depth Interview with two chain restaurant experts one president of the Thai Franchise & License Association three medium size chain restaurant entrepreneurs and six individual medium size chain restaurant customers. The data of quantitative research were collected by the questionnaire to 400 Thai medium size chain restaurant customers. Statistics for data analysis included frequency percentage average standard deviation and exploratory factor analysis (EFA). The results of this search showed that the factors affecting success of the medium size chain restaurant entrepreneurs were as follows 1) The factors affecting success of medium size chain restaurant entrepreneurs in management which included strategic planning good organization structure for chain restaurant clearly and defining the system well trained staff owned style of management and set share value. 2) The factors affecting success of medium size chain restaurant entrepreneurs in how to meet customer needs which included quality of service essential of social responsibility customer satisfaction in food quality right location and attractive promotion.

The development of ethanol fermentation of jackfruit wastes by a medium size distillation machine aimed to study and develop an ethanol fermentation method that gives optimal production of ethanol. In this research the ethanol production capability of 4 different groups of microorganisms including natural microbes microorganisms in stock rice fermented Saccharomyces cerevisiae EDV 492 and S. cerevisiae EC 118 is compared. The following procedure was implemented to allow the prescribed comparison: 1) microbes culturing (350 ml) for a total period of 20 days. Based on the study results all four groups of microorganism were capable of growing in the given culture medium which is sugar substrate. 2) Small sized fermentation (1 liter) for a total period of 4 days. From this second procedure it can be discovered that microorganism in stock rice fermented and S. cerevisiae EC 118 were highly efficient in producing sugar and ethanol 14% and 13% (v/v) respectively. 3) Develop small sized fermentation to a medium sized fermentation (20 liters) by fermenting natural microbes for a total period of 4 weeks until sugar is obtained. According to the study glucose must be added to increase the sugar level up to 25% Brix in order to provide sufficient substrate to allow ethanol production of the studied microorganisms. During ethanol fermentation process it can be found that microorganisms in stock rice fermented and S. cerevisiae EC 118 produced the highest amount of ethanol at 16% (v/v) within the period of 10 days and 8 days respectively. Hence according to this development of ethanol fermentation S. cerevisiae EC 118 is the most efficient microorganism in terms of ethanol fermentation of jackfruit wastes. In addition after the distillation of 99% ethanol it can also be found that both microorganisms in stock rice fermented and S. cerevisiae EC 118 produced 720 ml and 740 ml of ethanol respectively.

The objective of this research is to study the relationship between the quality of accounting data knowledge and understanding of accounting information business organization feature and the decision-making efficiency of executives in small and medium-sized businesses in the metropolitan area. The demographic group is the management of 351 companies. The data is analyzed using descriptive statistics such as frequency percentage mean and standard deviation and inferential statistics such as pearson’s Correlation Coefficient and multiple Regression. The results showed that the administrators had a high level of knowledge and understanding of accounting information and the quality of accounting data the characteristics of business organizations and the overall decision-making efficiency of the executives at a very good level. In the multiple regression analysis between cognitive information quality of account data and business organization feature to the efficiency of the executive decision making in general (Y) the regression equation was statistically significant at the level of 0.01