This research aims to study online food ordering through the Mobile Application of Consumer Generation Y in Bangkok. The sample group consists of consumers between 21 and 38 years of age living in Bangkok (Gen Y). 400 sample queries were used as a tool for collecting data. Statistics such as frequency percentage mean standard deviation and plural regression analysis was used. The results showed that most respondents were female private company employees aged between 26 and 30 with a bachelors degree or equivalent. The average monthly income of the respondents is between 15000 and 25000 baht. The most important factor affecting the decision to order food online was the acceptance of overall technology at high level with an average of 4.24 marketing mix factors (7Ps) overall is at high level with an average of 4.02 and the quality factor of overall service is at high level with an average of 4.02. The hypothesis test results showed that technological acceptance factors marketing mix factors and quality factors of the service affect the decision to use online food ordering services through the Mobile Application of Consumer Generation Y in Bangkok statistically significantly at 0.05.

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

The objectives of The Prototype of Mobile Application on Professional Technical Terms for University Students of Faculty of Business Administration Rajamangala University of Technology Phra Nakorn were as follows: 1) to design prototype of of Mobile Application on Professional Technical Terms for University Students of Faculty of Business Administration Rajamangala University of Technology Phra Nakorn and 2) to assess teachers and students’ expectations and satisfaction towards the Prototype of Mobile Application on Professional Technical Terms for University Students of Faculty of Business Administration Rajamangala University of Technology Phra Nakorn The random sample consisted of 50 teachers and students. The tool used in this research was a questionnaire. The data were analyzed by a percentage means and standard deviation. . The research details were as follows: General data – there were 50 total respondents (100%). The majority were female (54%) and 60% of respondents were in the 20-24 year-old range 40% education level from a Bachelor of Business Administration and 30% of Accounting Major Samples expectations and satisfaction– the level of expectations was high at X = 4.71 S.D.= 0.42 and the level of satisfaction was similar at X =4.67 S.D.= 0.47 From expectation and satisfaction it was found that there was the highest level of expectation and satisfaction. It can therefore be concluded that this research has achieved the objectives.

This project aim to develop mobile application of activity notification and queue management. The aim of this project is to alert the patient’s activities via mobile devices. Caregiver can create activities to the patient’s mobile device. Also booking a queue in advance via mobile device before seeing doctors. There are no need to book a queue at the hospital. The patients’ medical records are collected via mobile devices which will reduce the time to collect data and data loss problems. The results of performance evaluations on mobile application of activity notification and queue management showed the overall average satisfaction score was 4.63 with a very satisfied level. It can be concluded that mobile application of activity notification and queue management can be used effectively.