This research aims to study the following objectives: 1) the demographic characteristics of Gen Y that influence the decision to choose nursing home services 2) the factors of the marketing mix that influence the decision to choose Gen Y nursing home services and 3) the consumer behavior factors of Gen Y influencing the decision to use nursing home services of Gen Y. The research is based on a quantitative research method. The sample consisted of the population born between 1980 and 1997 aged between 24 and 41 years living in Bangkok. 400 people were examined by using the questionnaire created by the researcher. The statistics used in the study were frequency percentage mean standard deviation T-test F-test and multiple regression. The study results are that 1) looking at the demographic characteristics most respondents are female aged 30-35 years old with a bachelors degree single status and employees of private companies with an average monthly income of 10001 – 20000 Baht. In the future when the elderly can’t rely on their children or relatives to live they need to prepare savings for a senior living in a nursing home without underlying diseases. Most of the respondents have no children. The questionnaire used collected information on gender age level of qualification marital status occupation income parents’ support savings congenital disease number of children. All these factors affected the decision to choose Gen Y nursing home services at a statistically significant level of 0.05. 2) Marketing mix factors (7Ps) by product price place process and promotion affected choose the nursing home services of Gen Y. These factors were statistically significant at the 0.05 level. When testing the correlation value multiple regression (R square = 0.684) found that the relationship R value highly correlated with promotion place process price physical evidence people and product respectively. 3) Consumer behaviour factors social aspects personal aspects and psychological aspects affected decistion to choose the nursing home services of Gen Y. These factors were significant from the statistical test at the 0.05 level. When testing the correlation value and multiple regression (R square = 0.696) found that the relationship with the highest R value followed by personal psychological social and cultural aspects respectively.

This research aims to 1) analyze the SMEs 4.0 market management factors for Thai clothing brands among generation Y 2) to study personal factors affecting the SMEs 4.0 market management for Thai clothing brands among generation Y and 3) to generate the SMEs 4.0 market management model for Thai clothing brands among generation Y. This study uses qualitative and quantitative research methods. In-depth interviews served as a qualitative data collection methodology. Seventeen participants were grouped into experts stores managers and specialist contemporary Thai clothing brands. For the quantitative data collection methodology the researcher used questionnaires with a specific group of 430 Generation Y male and female participants who used to purchase or frequently purchase Thai clothing brands. To analyze data percentage mean and multiple classification analysis with a statistically significant level at 0.05 the researcher used G*power. Furthermore it was analyzed if the results were consistent with the qualitative data. The research results show that market management factors significantly relate to Thai clothing brand customers’ purchasing behaviors. These factors include purchasing rationale factor purchasing motivation factor brand management factor and demand management factor. The research findings link to the best practices in the market management model both online and offline markets and sustainable development in 5.0 society including 1) a rapid technology replacement 2) adding creative value to the society 3) natural harmonization management and 4) sustainable development.

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 was a quantitative research. The purposes of this research were 1) to study demographic characteristic affect on purchasing intentio n of beauty products in Multi-Brand Store 2) to examine online marketing communication affects on purchasing intention of beauty products in Multi-Brand Store and 3) to examine Brand Equity affects on purchasing intention of beauty products in Multi-Brand Store. The data were collected 400 samples who were customers to purchase products through in Multi-Brand Store. The statistical methods used to analyze data were frequency percentage mean standard deviation one-way analisis of variance and enter multiple regression analysis with a statistical significance level of .05. The results showed that: most of the respondents were female (69.50%) the age between 27-32 years (58. 30 %) education of bachelor’s degree (77. 5 0%) business of employee (56.80%) and average monthly income between 15001 – 30000 baht (61. 00 %). Diffenct Demographic characteristics included gender age career and average monthly income had purchasing decision intention of beauty products in Multi-Brand Store with statistically significant at the .05 level. Marketing mix affects on purchasing decision intention of beauty products in Multi-Brand Store with statistically significant at the .05 level with the two affects including product increased (17.80%) price increased by 22.10 percent. Brand equity affects on purchasing decision intention of beauty products in Multi-Brand Store with statistically significant at the .05 level with the two affects including brand awareness increased by 3 0 . 3 0 percent and brand associations increased by 33.30 percent

The objectives of the study were : 1) to study the character of Generation y effecting to buying decision at convenience stores. 2) to study the communication channels effecting to buying decision at convenience stores. The sample group was 500 graduation single females age between 25-29 years old working in private companies monthly income between 30000 – 40000 baht. The instruments used in the study were 1) the questionnaire and 2) the multiple regression analysis. The frequency percentage and mean were the parameters used for statistical analysis. The result of the study were 1) the most frequent buying store was 7-11 2) the most frequent communication channel was LINE application 3) the most frequent connecting tools were smartphone and tablet and 4) the most frequent payment channel was convenience stores. The finding of Generation Y population’s character analysis showed that occupations the convenience stores’ brand and connecting tools had effected to buying decision at the convenience stores and it is statistically significant at .05 level. For the marketing communication channels analysis showed that Advertising Sales Promotion Public Relations and Publicity Online and Social media Marketing Mobile Marketing Direct and Database Marketing and Personal selling were effected to buying decision at convenience stores.