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 mastery of advanced research methodologies (quantitative, qualitative, and mixed methods) by critically analyzing literature, identifying research gaps, and designing original studies that contribute to MIS theory and practice.
2. Conduct and defend an original doctoral dissertation that reflects independent scholarly inquiry, academic rigor, and a significant contribution to the advancement of knowledge in MIS.
3. Exhibit readiness for thesis monitoring and defense by articulating the philosophical foundations of research paradigms, positioning one's research within these frameworks, and responding to scholarly critique.
4. Apply ethical principles, academic integrity, and responsible conduct of research in all phases of the research process, including data collection, analysis, reporting, and publication.
5. Identify and address the social, legal, and ethical implications of information systems research and its applications within organizational and societal contexts.
6. Employ advanced data science techniques, including statistical modeling, machine learning, and AI-based analytics, to examine complex datasets and extract meaningful insights in MIS research.
7. Recognize and evaluate emerging technologies such as artificial intelligence, big data, blockchain, and the Internet of Things, assessing their transformative impact on organizational processes and digital ecosystems.
8. Collaborate and lead in interdisciplinary research environments, establishing productive scientific partnerships and managing research projects that integrate diverse academic perspectives.
9. Publish high-quality research in peer-reviewed journals, present findings at international conferences, and actively engage in academic service such as journal reviewing, conference organizing, and committee participation.
10. Identify challenges and propose innovative, research-based solutions at the intersection of information systems, technology, and organizational strategy.
11. Deliver advanced-level MIS courses, supervise graduate research, and nurture academic development through effective mentorship and scholarly teaching.
12. Develop advanced information systems and decision support systems that align IT capabilities with organizational strategies using systems thinking and innovative design methodologies.

Po-Lo Matrix