RESEARCH METHODS

Course Description

Students learn the scientific methods and techniques and develop their competence to evaluate research and prepare research projects. The basis of scientific research, scientific method, quantitative and qualitative research, problem statement, literature review, hypothesis, assumption, limitations, definitions, sampling methods, data collection (validity, reliability, item analysis, questionnaire development procedures, observation, interview), quantitative research methods (descriptive studies, correlational research, casual research, experimental research, single-case studies, meta-analysis), qualitative research (content analysis, case studies, action research, narrative research), reporting (organizing a scientific writing, parts of a scientific writing, general writing rules, showing the source in the text, preparing the list of resources). Students make scientific research about a subject that is related to their fields.

RESEARCH METHODS

Evaluation Tools (Active Term)

Course outcomes

1. 01 identify methods of qualitative data collection
2. 02 analysis, give practical experience of research
3. 03 demonstrate an critical litreture
4. 04 enable them to design and undertake on how to conduct a research paper
5. 05 develop the research quetion and hypothesis for projects and /or thesis in future

Course Syllabus

Reference Books & Course Materials

1. 01 Saunders, M., Lewis, P., and Thornhill, A. 2023. Research Methods for Business Students (9th Edition), Pearson, UK.

Learning Outcomes

1. L01 Distinguishes between different forms of research SOLO 3
2. L02 Synthesizes and critically evaluates the relevant literature. SOLO 4
3. L03 Selects the appropriate sample and justifies the sampling approach SOLO 4
4. L04 Formulates an appropriate research design SOLO 4
5. L05 Crafts an effective research proposal SOLO 4

Program Outcomes

1. Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
2. Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
3. Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
4. Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
5. Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
6. Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
7. dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
8. Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
9. Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
10. Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
11. Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
12. Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.

Po-Lo Matrix