จำนวน Repository ( 2131 )
การพัฒนาระบบติดตามเอกสารงานทะเบียนสำหรับนักศึกษาคณะบริหารธุรกิจ มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร
Due to the epidemic situation of Covid-19 has had a huge impact on the Thai economy and society. make a government agency Many private companies have to work from home. which the Faculty of Business Administration Rajamangala University of Technology Phra Nakhon is one organization that has a policy for teachers and students to teach online. As a result teachers and students have to communicate online. As a result students who deal with the registration documents follow up with their advisors about the status of the registration documents. head of department and branch coordinator through online channels such as Line Messenger email etc. which resulted in advisors head of department and branch coordinator There is an increasing workload. from the problems mentioned above Therefore the researcher proposes a research project on the development of a registration document tracking system for students of the Faculty of Business Administration. Rajamangala University of Technology Phra Nakhon In order to reduce the workload of teachers and staff in answering questions about the status of registration documents for students The results of the research showed that the registration document tracking system can help increase the efficiency of teachers and staff. It also gives students the convenience of tracking the status of documents submitted for registration and processing.
รูปแบบพฤติกรรมการตัดสินใจซื้อเพื่อพัฒนาผู้ประกอบการธุรกิจผลิตภัณฑ์สปาขับเคลื่อนยุทธศาสตร์ Thailand 4.0
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.
Cross-cultural examination of the relationship of service quality perceived value, customer satisfaction and Loyalty in the Drug Store in Bangkok, Thailand
The cross-cultural customer experience and the service environment were two of the most important aspects of retailing that should be prioritized particularly in pharmacy shops. This research investigated the retail experience at the pharmacy store from the perspectives of people from a variety of diverse backgrounds and different geographical locations. The interview was planned and performed by the researcher using a semi-structured format. Participants were recruited from a variety of community-based pharmaceutical shop during the pandemic in the Bangkok areas. The researcher applied convenience sample with the assistance of the owner of the pharmaceutical shop. The analysis of the data was transcribed verbatim and analyzed for key themes via manual inductive coding and constant comparison. The research participants shared their personal experiences with purchasing drugs and associated items during the pandemic. They were also exposed to the stores atmosphere and sanitary environment. Misappropriation of retail space might be caused by dissatisfaction with the shopping experience. A variety of behavioral strategies that improved the retail experience such as creating a dedicated section in the shop for relevant items or updating the in-store environment may help improve the retail experience for customers. The authors provided suggestions for how retailers might use their newly acquired knowledge about consumer behavior. Each of these themes also offered the possibility of further investigation in the future.
การพัฒนาโมเดลความสัมพันธ์เชิงสาเหตุของการใช้ประโยชน์และความพึงพอใจเทคโนโลยีสารสนเทศของนักศึกษามหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร
This research has the objectives for studying the information and communication technology (ICT) usage of university students and relationships between factors of information and communication technology (ICT) usage those affecting the digital university policy of Rajamangala University of Technology Phra Nakhon. Samples are students who are studying bachelor degree in 9 faculties at Rajamangala University of Technology Phra Nakhon and are systematically randomed from the population of 11899 at 95% confidential level with the sample size of 387 from the calculation. Questionnaires about the information and communication technology usage of the students related with the Digital University policy have been used in this research. Descriptive statistics used in this research are Frequency Percentage Means (𝑥𝑥̅) and Standard Deviations. Referential statistics used are t-test Independent and One-Way Analysis of Variance. The research found that different personal factors including genders ages classes and faculties did not vary the opinions of the students about their planned behaviors. Different personal factors including genders ages classes and faculties did not vary their opinions about the intention of information and communication technology usages. Different personal factors including genders ages classes and faculties did not vary their opinions about the information and communication technology usage behaviors. Different personal factors including genders ages classes and faculties did not vary their opinions about the Digital University policy. Opinions about the planned behaviors are positively related in low level to the opinions about the intention of information and communication technology usages statistically significant at the .01 level. Opinions about the intention of information and communication technology usages are positively related in moderate level to the opinions about the information and communication technology usage behaviors statistically significant at the .01 level. Finally opinions about the information and communication technology usage behaviors are positively related in low level to the opinions about the Digital University policy statistically significant at the .01 level.
การประยุกต์อัลกอริทึมการเรียนรู้ของเครื่องเพื่อระบุปัจจัยความสำเร็จที่ถูกสนับสนุนโดยการเรียนออนไลน์แบบวนซ้ำ
This research suggests an add-on working compatibly with Google Forms to construct multiple-choice questions (MCQs). This add-on comprises two main components including software for constructing MCQs and a data storage for collecting data used to compose MCQs. I demonstrated effectiveness of the add-on by applying it in the context of repetition online learning in which students could learn relearn and take an exam of which MCQs generated by the add-on. At the last step of this research I suggest using a sentiment analysis method – based on natural language processing and machine learning to find environmental factors and teaching strategies suitable for the repetition online learning.