The objectives of this research is to study (1) The demographic of mobile users effected to mobile network’s decision making (2) The creating shared value of mobile network effected to mobile network users’ decision making. The sample population consisted of one thousand two hundred mobile network users. The instrument of research was a questionnaire. The Statistical Package for the Social Sciences (SPSS) for Windows computer program was applied for analyzing formulating and tabulating the data collected. The techniques of descriptive statistics used were percentage mean and standard deviation. Techniques of inferential statistics utilized were t-test one-way analysis of variance (ANOVA) in order to analyze differences between variables taken as a group. If there is a statistically significant differences found between pairs in a group Scheffé’s pair testing were deployed. Multiple Regression Analysis were applied in order to analyze the demographic of mobile users and creating shared value of mobile network effected to mobile network users’ decision making. The results were as following: 1. The all factor demographic of mobile users effected to mobile network’s decision making effected to mobile network’s decision making. 2. The creating shared value of 3 brands effected to mobile network’s decision making effected to mobile network’s decision making.

The purposes of this research were: 1) to study personal factors knowledge of selfemployed in Home Economics and reasons for decision making of self-employed in Home Economics 2 ) to study the relationship between personal factors and decision making of self-employed in Home Economics and 3) to study the relationship between knowledge of self-employed in Home Economics and decision making of self-employed in Home Economics. The sample group was 196 of the 4th year undergraduate students Faculty of Home Economics Technology Rajamangala University of Technology Phra Nakhon who decided to work as self-employed person. The instrument used in the study was a questionnaire. The percentage mean standard deviation and Chi-Square values were used for statistical analysis. The results showed that: 1) most of the sample was female (72.45%) and more than a half of the sample studying in Department of Foods and Nutrition (52.55%) their cumulative GPA were between 3.01-3.50 (40.31%) followed by 2.51-3.00 (31.63%). For family information (64.80%) of their parents were entrepreneurs or self–employed the average monthly income of more than 35001 baht per family (34.18%) followed by 15001-25000 baht (30.61%) for the knowledge of self-employed in Home Economics in the overall was at a high level ( = 3.78 S.D.=0.69). Types of self-employed in Home Economics selected the most was production (50.00%) followed by distribution (26.53%) and services (23.47%). The reasons for choosing self-employed in Home Economics were freedom of work (37.25%) having to use knowledge aptitude and proficiency in work (23.47%) and having a good opportunity to being successful in work (12.25%) the expectation to have an average monthly income was between 25001-35000 baht (56.63%). 2) the relationship between personal factors and the decision making of selfemployed in Home Economics including gender field of study cumulative (GPA) parents’ occupation the average monthly of family income and work experience during study found that there was statistical significance at the level of .05 except the family self-employed. and 3) the relationship between knowledge of self-employed in Home Economics and the decision making of self-employed in Home Economics found that there was statistical significance at the level of .05

The purposes of this research were : 1) studying the personal factors of coffee consumers premium gas station in Ayutthaya province 2) studying the marketing mix of premium coffee at a gas station in Ayutthaya 3) the decision to buying coffee premium gas station in Ayutthaya province 4) to studying the relationship between the individual factors on the decision to buy coffee premium gas station in Ayutthaya province and 5) to studying the relationship between marketing mix with deciding to buy premium coffee in a gas station in Ayutthaya province. The samples were to consumers who enter the job the shuttle back and buy coffee premium gas stations a total of 29 and 406. They used in this research are statistics used to analyze data the frequency percentage mean standard deviation and the Chi-Square data were analyze using a computer program. The results showed that: 1) most consumers were to female between the ages of 20-30 years of undergraduate study private employees. The average income per month 20001-25000 baht 2) analysis of the data will be relating to the marketing mix used in the decision to buy premium coffee overall consumers were already seeing a high level. The first two items in order from most to least find that the side with the highest mean score. The distribution channel followed by the physical price of the product. Promotion marketing provider and the average minimum was personnel. 3) the decision was to buying premium coffee at the gas station of consumers. Most were intending to intend to drink coffee the espresso because reasonable pricing. The coffee will has tasted smoother most coffee once a day each 1 cup of coffee at a time which pays less than 100 baht by buying time 12:00 to 14:00 pm during uncertain. Most choose to used because it will have been sample parking and comfortable. The coffee shop was offers Wi-Fi / internet free 4) the relationship between personal factors the decision was to buying premium coffee at the gas station consumers in Ayutthaya province were finding to be relate and the statistical was significance level and 5) the relationship was between marketing mix with the decision to buy premium coffee at the gas station consumers in Ayutthaya province found to be related the statistical significance level .05.

The purposed of this research “Personal factors and marketing mix that affecting to decision making for choosing nursing home of senior people” was to study (1) decision making behavior of senior people for choosing nursing home (2) personal factors that affecting to decision making for choosing nursing home of senior people. The samples of this study were 400 of senior people who live in Bangkok and provinces nearby. The questionnaires were implemented as the tool for data collection. The statistics methods were used for analyzing data; Percentage Mean Standard Deviation T-Test and One-way ANOVA. The results were found that: Most of samples are women marriages age 60-65 years old finished primary schools retirees revenue between 10000 - 20000 baht. They want to stay at their own home and need helpers when they get older and can’t help themselves. They believe they can support their housing expenditure in between 2000 – 10000 baht. They like making merit being independent and simple life. Their opinions about marketing mix; (1) Product they concern about security system in accordance with intentional standard. (2) Price they prefer offering several price level. (3) Place nursing home should located nearby hospitals. (4) Promotion they concern about clear information and housing tour. (5) People or Employee nursing home should have doctors nurses and specialists. (6)

The purposes of this research were : 1) to study the personal factors in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University 2) to education study in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University and 3) to individual factors affecting in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University. The population students are studying in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University of 267. The instruments used in research questionnaires and interviews. The statistics used for data analysis were frequency percentage mean standard deviation t-test and One Way ANOVA. The research found that as follows: 1) Most students were male 14 years of age by studying in lower secondary students’3/7 they have a cumulated GPA of 3:01 to 3:50 by living with his father - his mother and the aptitude of most business plans. 2) The factor in choosing in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University overall students in grade 3 with comments in agree. The first two items in order from most to least found that the side with the highest mean score the reputation of the school. The second was the instructor and minimum course content. And 3) individual factors were affecting in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University found that students with gender age year of study. The GPA and the Professional and the aptitude different affect students were learning plans and career groups school not different. Except for students with different shelters affect student learning plans and the career Department at the Demonstration School of Ramkhamhaeng University difference was statistically significant at the .05 level.