This research aims to study the demographic characteristics affecting the decision-making of the working-age group in Ratchathewi District Bangkok Thailand to buy clean food and examine the marketing mix influencing their decision-making. The study population comprised 68635 people aged between 21 and 59 years in the group mentioned above. The sample consisted of 397 people. Descriptive statistics frequency percentage mean and standard deviation (SD) and inferential statistics i.e. independent samples t-test one-way ANOVA Pearson correlation coefficient analysis and multiple regression analysis were used to analyze the collected data. The research results illustrated that demographic factors like the different ages and educational backgrounds caused differences in the decision-making to buy clean food at a statistically significant level of 0.05. Moreover the marketing mix involving product price and promotion positively impacted the overall decision-making to buy clean food. It also positively affected the decision process of the need arousal or problem recognition (ND) information search (IS) evaluation of alternatives (EA) purchasing decision (PD) and post-purchase behavior (PB). Furthermore the place positively impacted the overall decision-making only in the PB process. Since the product price and promotion affected each aspect of the decisionmaking process (ND IS EA PD and PB) it was recommended that the clean food shops should pay more attention to these aspects

This research aims to 1) to study the personal factors of Thai and foreign tourists towards their buying decision making behavior in spa products; 2) to study the current situation of buying decision making behavior for the development spa products entrepreneurs to drive the strategy of Thailand 4.0 and 3) to create behavior patterns of purchasing decisions to develop spa product entrepreneurs driving the strategy of Thailand 4.0. The research used mixed methods qualitative and quantitative. The researcher applied qualitative methods by interviewing 21 selected key informants. The data obtained from qualitative was used to construct the questionnaires which were used to gather quantitative data and analyzed by multiple classifications. The researcher determined the sample size to represent the population using the G*Power program. The research tools used in this research were 1) an in-depth interview and closed-ended questionnaires for qualitative research and 2) a questionnaire obtained from the qualitative research using the Delphi technique as a reviewed questionnaire for quantitative research. The questionnaires were distributed to the 305 samples. The results of the hypothesis testing of personal data were as follows: gender nationality age education level source of information that brought them to Phra Nakhon Si Ayutthaya Province and participants traveling to Phra Nakhon Si Ayutthaya Province are the factors that affect buying decision making behavior spa product of model buying decision making behavior for the development spa products entrepreneurs to drive the strategy of Thailand 4.0 strategy. The result of hypothesis testing factors affect the buying decision making behavior for spa products come into 6 factors are local identity product usage buy as a souvenir repeated buying information from reliable sources and the interpersonal factor of entrepreneurs or salespeople. All of these results comply with the assumptions.

This research aims to study the demographic characteristics affecting the decision to buy home furniture through mobile applications for Gen Y consumers and study the marketing mix 7 P’s and digital marketing model that affect the decision to buy home furniture through mobile application of Gen Y consumers. The population used in this research is population born between 1980 and 1997 are now between 24-41 years old live in Bangkok amount of 1453477 people the data were collected from 400 samples. The sample size was calculated following the Taro Yamane method.The descriptive statistics used were frequency percentage mean standard deviation (SD) and Inference statistical such as the difference analysis of the mean of the 2 sample groups (Independent Sample T-test) difference analysis for sample mean of more than 2 groups by one-way analysis of variance (One-Way ANOVA) and multiple regression analysis (Multiple Regression). The research results indicated that 1) the demographic characteristics such as gender and age had no impact on the overall decision-making to buy home furniture through mobile application of Gen Y consumers. In contrast marital status level of education career and income had an overall effect on the decision to buy home furniture through mobile applications for Gen Y consumers 2) Furthermore the marketing mix 7 P’s consisting of product price promotion process physica presentation and digital model on the overall effect the decision-making to buy home furniture through mobile applications. Moreover digital marketing model content marketing website creation assisted marketing e-mail marketing and online marketing impact the decision-making of buying home furniture through a mobile application. It was recommended that since the marketing mix especially product price and promotion affected the overall decision-making of buying product. Therefore if home furnitures are sold through mobile application content marketing must be developed at the highest level followed by social media marketing and email marketing had the most negligible positive impact on the overall buying decision-making and every factors

This research aims to study a model of marketing strategic towards generationmillennials customers’ buying decision using food delivery application and to present model of marketing strategic towards generationmillennials customers’ buying decision using food delivery application. The mixed methods approaches of quantitative and qualitative research methods were used. In qualitative research method using in-depth interviews with 11 respondents and quantitative research in which questionnaire was used as an instrument to collect data from 400 populations of generation millennials customer living in Bangkok who order foods through food delivery application. Statistics for data analysis included frequency percentage average standard deviation exploratory factor analysis (EFA) The results indicated that most of the respondents were women with a bachelorsdegree who had a career as private company employees and an average monthly income of 18000 – 25000 bahts use Grab application the most use less than once week there are a total of 2 orders per order choose order the most street food average 100 - 350 Baht cost per time order food in the evening (17.01-22.00 p.m.) order food to eat at accommodation most order food to eat with friends reason for ordering a delivery is that it is comfortable from out going by self choose to pay by cash and consumers think that all of the factors are important in deciding to order food from restaurants through the Delivery Application application at high level. Results analysis of factors affecting generation millennials customers’ decision making to order from food delivery application be classified into eight factor as 1) easy to user experience strategy 2) goods value and price strategy 3) physical evidence and presentation strategy 4) strategies for brand awareness 5) accuracy and complete strategy 6) restaurants management system strategy 7) sales promotion strategy 8) new product development strategy.

This research aims to 1) understand population characteristics that influence consumer decision making in purchasing frozen food products 2) to understand types of point-of-sale advertising that influence consumer decision making in purchasing the frozen food products and 3) to understand the interrelationship between the population characteristics and the point of purchase advertising that influences decision making. There were 400 respondents in this research that were chosen by using the purposive random sampling method. A questionnaire was used to collect data. The collected data was then analyzed by using statistics including distribution frequency percentage mean and standard deviation. Moreover ANCOVA (One - Way ANOVA) and Pearson correlation coefficient were used for the hypothesis testing. The results indicated that most respondents are female between 21 – 30 years old. They are single have an undergraduate education level and work at private or government - owned companies. Their income per month is between 20001 – 30000 baht. Their opinions towards overall point-of-sale advertising are average. The overall point of purchase advertising includes advertising media that ranges from the most to the least including: product demonstration advertising banners packaging and product displays respectively. The respondents decision making in purchasing the frozen food product is average including problem recognition evaluation of alternatives post-purchase behavior purchase decision and information search respectively. The hypothesis testing found that; 1) The population characteristics refer to demographics including gender age education level and average income per month. Whereas the point of purchase advertising refers to advertising banners types of packaging product display and product demonstration. This paper attempted to find out whether or not and how each type of point of purchase advertising has influenced the respondents in purchasing frozen food products within Bangkok. The hypothesis testing showed that the population characteristics have no influence on purchasing the frozen food products in Bangkok. 2) However when controlling the covariate variables (from item 1) the results differed. It was found that different marital status and occupation has an influence on decision making in purchasing the frozen food products in Bangkok. The hypothesis testing found that population characteristics including gender age education level and income per month have differently influenced purchasing decision process at the point of purchase advertising including product banners product display and product demonstration. However packaging has no influence on purchasing decision of frozen food products. 3) After controlling the covariate variables (from item 1) it was found that the marital status and occupation have no statistical significance towards the purchasing decision process. Whereas the independent variables and the covariate variables have in fact influenced the purchasing decision process.