The purposes of this study was to investigate the essential component of software development competency for new graduates before entering the Thai software industry sectors and to develop training courses software development competency. The sample of this study consisted of 402 software’s entrepreneurs and 30 new graduates in software development. The instruments used in research were questionnaire in-depth interview and the assessment of the satisfaction of trainees. The statistics used for data analysis were arithmetic mean standard deviation and Exploratory Factor Analysis (EFA). The findings of the data analysis indicate that there are seven competency factors: the software development on mobile devices individual factor for software career software testing and presentation use of software development tool knowledge of business process for software development concept of software development and English for communication and ASEAN knowledge. A software development on mobile devices was the most important competencies for software industry and therefore the training for new graduates was set up based on Application Development on Android. In addition the participants were satisfied with the training at very good level.

The objectives of this research to investigate 1) the level of elderly acceptance of technology and support. 2) Individual factors influence the elderly learning. The quantitative approach was applied by using questionnaire in data collection. Data was collected from 320 elderly people. Descriptive and inference statistics were used: percentage mean standard deviation Pearson correlation and multiply regression analysis. The findings indicates that there is the highest level of elderly acceptance of technology and support. The elderly people also use the Internet mainly to communicate with others followed by watching movies and listening to music. The most important technology support for the elderly is the Internet and computer use in a public place such as library hospital and elderly center with an expert encouragement. Provide knowledge and skills for the elderly using technology is the second most important technology support. Factors influencing the elderly learning in technology media are as follows: 1) Individual factors: the level of education occupation current salary and computer experience. This factor can explain the influence is 24.6 percent. 2) The elderly acceptance of technology 3) Technological support for the elderly. These two factors can explain the influence is 39.7 percent.

The objectives of this research are to study opinion of consumers towards marketing mix of health banana flour cookies and to compare opinion of consumers towards marketing mix of health banana flour cookies. The research instruments used for data-gathering were questionnaire by using simple random sampling. The samples of this research were 400 health food consumers in Bangkok whose age range from 21 years and over. Descriptive statistics for data analysis included Percentage Mean and Standard Deviation. Due to inferential statistics t-test was used to determine the differences between two independent groups while One–way Analysis of Variance was used to F-test. Lastly Least Significant Difference (LSD) was used to determine the difference between two means. The results were as follows : most of participants were female with age range from 21 to 30 years and the average education level was undergraduate. The majority of participants were state enterprise employees with average monthly income lower than 20000 Baht and single. This reseach revealed that consumers had a high level of opinion towards marketing mix of health banana flour cookies. Product Place Promotion and Price were at high level respectively. The results of hypothesis testing indicated that different demographic characteristic of participants which consisted of gender age level of education income and marital status resulted in indifferent opinions towards marketing mix of health banana flour cookies at 0.05 level of significance. The different of occupation resulted in different opinions towards marketing mix of health banana flour cookies at 0.05 level of significance. The result suggest that marketing mix should be applied by communicated the features of banana flour cookies set the price higher than regular cookies distributed it to healthy product retailer and used online marketing especially student groups.

This research is intended; 1. To analyze the higher executives point of view affecting return on investment for neuro training. 2. To determine and examine the future possibility model on return on investment for neuro training. This study was qualitative research methodology using Delphi technique. The sample population of the study covers the training management experts entrepreneurs and relevant to neuro training including accounting on return on investment bureau groups 21 persons in total with the selection through purposing sampling. The research result found that there are five factors: 1) training environmental management 2) organization policy and regulation 3) job responsibility learning building for employee engagement and 5) measuring for return on investment for employee security leaning. In training environmental management factor 1. To preparing trainers characteristics. 2. To develop training for the trainer content. 3. To preparing training equipment and information technology. 4. To provide web server character using for internet training. 5. To provide training place environment and internet training. 6. To provide service place for computer equipment and wireless internet high speed to support internet network system. 7. To management on environmental current and training support matter that suitable and sufficiency for learning. In organizational policy and equation factor 1. To educate employee with goal policy for each year of organizational procedure. 2. To develop and improve criteria regulation to relevance organizational planning and realistic situation in each job function line. 3. To compare job performance by classic production line and staff including internet network system as well as selling and make profit center. 4. To convey how to fix employee understanding in rule and regulation that relevance job working. 5. To cover the regulation practice and training optimation for business working. 6. To be flexibled for training on network system because it take time more than general training. 7. To have training step and methodology that relevance organizational and business policy. 8. To have budget allocation that suitable and sufficiency for employee performance. 9. To supporting employee that get creative and teamwork. In job responsibility learning factor 1. To develop trainee learning based on organizational regulation and criteria. 2. To improve job responsibility knowledge about principle concept and theory for training management on internet network system. 3. To develop job skill of trainee for create job performance. 4. To instill employee learning for virtue and ethics on job function and organization. 5. To educate trainee learning on creativity training and practice. 6. To appeal trainee on training content interesting for employee awareness to employee performance. 7. To motivate trainees for words of month and have good organizational image after training. 8. To plan for exchange training knowledge in advance about strength weakness threat and opportunity of organizational performance for create business competitive. In building for employee engagement 1. To build organizational learning and employee development from training. 2. To improve trainee self assessment for his or her performance and information technology skill. 3. To plan for career path progress. 4. To convey trainee experience learning to the others for establish organizational performance. In measuring for return on investment from employee security learning on the job working. 1. To analyze the job satisfaction that employee perspectives affecting organization security. 2. To analyze zero defect low fringe benefits expenses and saving energy cooperation. 3. To analyze work safety better life and health care affecting fringe benefits expenses risk management and so on.

The research studies self-discipline behaviour of business administration student of Rajamangala University of Technology Phra Nakhon Pha Nakorn. There are 2 main points in objective: 1) To study the power to predict student’s self-discipline behaviour by psychological characteristic psycho-situational characteristic and social characteristic in collected group and subgroups. 2) To examine the interaction between psychological characteristic psycho-situational characteristic and social characteristic that relates to self-discipline behaviour in collected group and subgroups. The survey of 400 undergraduates was conducted to assess self-discipline behaviour of students. Moreover there are 6 independent variables in this research including 2 variables of psychological characteristic (future orientation and self-control and achievement motivation) 2 psycho-situational characteristic variables (perceived self-efficacy and attitude toward self-discipline behaviour and 2 variables of social characteristic (good role model from family and supportive rearing while the dependent variable is self-discipline behaviour. Basic statistics multiple regression analysis and two-way ANOVA were used to analyse. All of the analysis was also used in both collected group and subgroup according to socio-demographic characteristic. The results of this research are as follow: 1. 6 variables in term of psychological characteristic psycho-situational characteristic and social characteristic can predict self-discipline behaviour in collected group accounting for 59.5 per cent while subgroups are between 32.1 to 44.8 per cent. The most prediction is female group. Furthermore the most significant predicting factor is attitude toward self-discipline behaviour which is in equation in collected group and subgroups and it is the first significant predicting factor in collected group and male group as well as the student group who study in first and second years in bachelor’s degree. 2. Students who have high level of future orientation and self-control and good role model from family will have great self-discipline behaviour. In fact it is found that future orientation and self-control and good role model from family disconnect with student’s self-discipline behaviour at the level of significance of 0.05. However when analysing each independent variable self-discipline behaviour varies with future orientation and self-control. It appears on collected group and 4 subgroups which consist of male group female group the first and second year undergraduate group and the third and fourth year undergraduate group. In addition good role model from family influences self-discipline behaviour that can be found in collected group and 4 subgroups such as male group female group the first and second year undergraduate group and the third and fourth year undergraduate group. 3. The students who have high achievement motivation and supportive rearing are estimated to have great self-discipline behaviour. Whereas it is apparent that achievement motivation and supportive rearing do not interact with self-discipline behaviour at the level of significance of 0.05. On the contrary when considering each independent variable achievement motivation affects self-discipline behaviour in collected group and subgroups (male group female group the first and second year undergraduate group and the third and fourth year undergraduate group). At the same time self-discipline behaviour is also determined by supportive rearing that presents in both of collected group and subgroups which include male group female group the first and second year undergraduate group and the third and fourth year undergraduate group.