The purposes of this research were to investigate and present the component of digital platform to support financial transactions for the elderly. The data were collected using questionnaires which aimed to collect the data from 385 elderly. The collected data were analyzed by Exploratory factor analysis Elements are extracted using parent element method and orthogonally rotated element axis with Varimax method. The findings of the data analysis indicate that digital platform to support financial transactions for the elderly. The eigen values were in the range of 1.48 to 16.75. The sum of squared loading cumulative ware 64.30. There were four factors: 1) Digital Platform Features 2) Security for digital platforms 3) Conducive to physical performance of the elderly and 4) Types of digital platform service usage.

This research aimed to 1) investigate the real states and expected states to be a digital university of Rajamangala University of Technology Phra Nakhon and 2) analyze needs for a digital university. The population and sample group were divided into 3 groups including students enrolling in the academic year 2017 instructors and university staff. The research tool was questionnaire. The data analysis consisted of frequency percentage means standard deviation and t-test. The Modified Priority Needs Index formula (PNI Modified) was used to prioritize the order of needs assessment. The research results showed as follows: 1. As for the real states and expected states to be a digital university the means of students and university staff groups were different at the statistically significant level of 0.01. The real states’ overall means were lower than those of the expected ones. While the means of instructor group were not different but considering in each aspect it was found that the real states’ overall means were lower than those of the expected ones. 2. Regarding to need assessment for a digital university modified Priority Needs Index (PNI Modified) was calculated. The PNI Modified of the student group was 1.14-1.68. The aspects of classrooms and laboratories were found the highest PNI Modified (the first rank). The PNI Modified of the instructor group was 0.04-0.22. The aspects of classrooms laboratories and learning resource service system were found the highest PNI Modified (the first rank). The PNI Modified of the university staff group was 0. 76-1.12. The aspect of learning resource service system was found the highest PNI Modified (the first rank).

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 was to manufacture Electronics Media on Web and compare achievement between teaching using E-leaning and teaching using conventional techniques on Analysis of the Experimental Results by Using Graphs of Science and Technology Faculty at Rajamangala University of Technology Phra Nakhon.