The purposes of this research were 1) To study behavior of customer using Restaurant E-commerce in case study of Muang Nonthaburi District 2) To study customer loyalty in Restaurant E-commerce in case study of Muang Nonthaburi District 3) To study comparing personal factors affecting customer loyalty in Restaurant E-commerce in case study of Muang Nonthaburi District From those aims Researcher has collected sample data of customer using Restaurant E-commerce in case study of Muang Nonthaburi District that using sampling method of certain populations by 400 samples. Using online questionnaire types for close ended question and open ended question and analyzing social science data with statistics analysis program. Study for Percentage Mean Standard Deviation and Hypothesis Testing (t-test) by presenting results in Descriptive Statistics Table and collecting data between April-June 2016. Result of this research customer using Restaurant E-commerce in case study of Muang Nonthaburi District that found The Most is Male age 21-30 years old and have been bachelor degree Single and occupied about official/state enterprise Behavior of using Restaurant E-commerce that found The Most have knowledge/experience for using E-commerce have valued from using E-commerce with Restaurant data searching have trusted for using Restaurant E-commerce level is moderate. And Favorite using Social Media on all Channels that are Website Application and Social Media (3) Customer Loyalty in Restaurant E-commerce in Case Study of Muang Nonthaburi District are summarized 8 sides that are much (Mean=3.92 S.D.= .795)

The purposes of this study were to investigate the component of information and communication technology (ICT) competency for Thai e-commerce personnel and presents The model of competency development in ICT for Thai e-Commerce personnel. The questionnaire was administered to collect quantitative data from 385 electronic business personnel samples and the in-depth interview method was applied to obtain qualitative data from 10 experts in information and communication technology from public and private sectors. The collected data were analyzed by frequency distribution percentage distribution mean standard deviation and Exploratory Factor Analysis (EFA). The results revealed three components with 47 variables of ICT competency for Thai for Thai e-commerce personnel which can describe the combined variance at 74.979 percent. Of all variables 36 variables are highly necessary to identify the competency to design and develop websites and benefit the ability to develop and improve the website according DBD Verified. Six variables refer to the competency concerning the interpersonal skill and responsibility among the personnel inside or outside the organization. Finally five other variables are responsible for the ability to carefully analyze troubles with caution.

The purposes of this research are 1) to study the demographic characteristics and behavior in purchasing via line application and 2) to compare the level of satisfaction in purchasing via line application for an open chat consumer group Kheha Thanee 4 Village Bangkok. This study applied quantitative methods and the research instrument was an online questionnaire. The sample group of this study consisted of 306 consumers members of the open chat consumer group Kheha Thanee 4 Village Bangkok. The data were analyzed by frequency percentage mean standard deviation and the researcher tested hypothesis with T Test and One Way ANOVA. The research findings were as follows:

This study was aimed to study the demographic characteristics of who decided to shop online to explore working-age people’s internet behavior and to investigate the demographic factors influencing internet shopping decisions. The population and sample used in this study were working-age people drawn from Snowball Sampling method. The questionnaire used was distributed through the internet to 400 respondents. The data were collected and analyzed by the computer program through the statistical analysis including frequency percentage mean () standard deviation (S.D.) and two-way analysis (ANOVA). The research results revealed that Marketing mix factors affected the internet shopping decisions of the working-age people in general at high level (= 4.13 S. D. = 0.430) . When looking into each aspect it was found that the price factor highly influenced the online purchasing decisions (= 4.16 S. D. = 0.463) . followed by the product factor (= 4.13 S. D. = 0.452) which was also considered at high level. The promotion factor had high impact on online shopping decision (= 4.13 S. D. = 0.422) as well as the distribution channel (= 4.13 S. D. = 0.386). The result regarding the relationship revealing gender and age (F = gender *age (1357) = 7.128 p < .05 ) had a significant effect on online shopping at the .05 level. Gender * and occupation (4357 ) = 1.503 p < .05 ) had influence on decisions to online shopping with statistical significance at .05. Occupations and income (F * occupation * income (1357) = 11.487 p < 0.5 ) could influence decision making on the internet shopping with statistical significance at .05. Also the relationship between gender and occupation (F * gender occupation ( 4357 ) = 5.237 p < .05 ) had an influence on the choice of the internet shopping decision on price at the .05 level; the relationship of gender and occupation (F * sex occupation ( 1357 ) =8.000 p < .05 ) influenced the decision to shop on the internet in terms of marketing promotion at the .05 level of significance.