UEH Standard programs in English (20% English)

(EN) Applied Research in Agricultural Markets

Tiếng Anh

ECO501229

3

This course aims to provide students with a solid foundation in market research processes and methodologies. Students will gain a clear understanding of how to identify research problems, formulate objectives, and develop research proposals that align with real-world contexts in the agricultural sector. Theoretical knowledge, including methods for collecting secondary and primary data as well as qualitative and quantitative data analysis, will be integrated into the lectures to help students effectively apply these concepts in practical market research. Practical skills are a key focus of this course. Students will be trained to use modern tools such as Google Forms and Survey Solutions for data collection, along with analytical software like Stata, R, and SmartPLS 4 for data processing and analysis. Additionally, Power BI will be utilized for data visualization, supporting clear and intuitive presentation and interpretation of research findings. These skills not only enhance research capabilities but also help students develop professional report writing, data presentation, and evidence-based decision-making skills. The course also emphasizes autonomy and responsibility in research. Students will be encouraged to work independently, adhere to research ethics, and ensure transparency and accuracy throughout their research process. Lifelong learning is a core objective, enabling students to continuously acquire new knowledge and stay updated with evolving research methods. This will equip them to adapt to market changes and contribute to the sustainable development of the agricultural sector.

This course is designed to equip students with the essential knowledge and skills to conduct in-depth market research, supporting decision-making in agribusiness and agricultural management. The course content covers the entire research process, from problem identification and objective setting to proposal development and research design. Students will be introduced to various data collection methods, including secondary data from industry reports and public databases, as well as primary data obtained through in-depth interviews, focus group discussions, or field surveys. Modern tools such as Google Forms and Survey Solutions will be utilized to optimize survey design and management.

In the data analysis section, the course focuses on using specialized software such as Stata, R, and SmartPLS 4 to process and analyze data from basic to advanced levels, including descriptive statistics, linear regression, and factor analysis. Additionally, students will learn how to visualize data using Power BI to present research findings in a clear and compelling manner. The course concludes with research report writing and result presentation, enabling students to evaluate market data, develop strategic recommendations, and apply insights to modern agricultural contexts.

Through this approach, the course not only provides students with a strong theoretical foundation but also enhances their practical skills, preparing them to meet the demands of sustainable development in the agricultural sector.