ADVANCED RESEARCH METHODS
- Course
- BUSN605 - ADVANCED RESEARCH METHODS
- Department
- Business Administration - English - PhD
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- Prof. Dr. Tarık ATAN
- Prerequisite
- -
Course Description
This course will provide an understanding the basic concepts of scientific research, by assessing the basic types of scientific research and literature review, by elaborating possible techniques for data collection and analyzing. The students will be able to present empirical findings, design and undertake a research paper to apply the gained knowledge.
ADVANCED RESEARCH METHODS
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Homeworks + Quizzes + Participation | Quiz | 20 |
| Term Project | Project | 20 |
| Mid Term Exam | Midterm | 20 |
| Final Exam | Final | 40 |
| Total | 100 | |
Course outcomes
- 01 equip our students with the necessary knowledge of a variety of methods of qualitative data collection and analysis
- 02 give practical experience of research
- 03 enable them to design and undertake on how to conduct a research paper, projects and /or thesis in future
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to Research |
| Week 2 | The Scientific approach and alternative approaches to investigation , |
| Week 3 | The broad problem area and defining the problem statement |
| Week 4 | The critical literature review |
| Week 5 | Theoretical framework and hypothesis development |
| Week 6 | Basic Statistical approaches |
| Week 7 | Multiple Regression, Autocorrelation and Heteroscedasticity. |
| Week 8 | Elements of research design |
| Week 9 | Data collection methods: Introduction anad interviews |
| Week 10 | Data collection Methods: Observation, Questionnaires |
| Week 11 | Measurement of Variables : Operational definition, Scaling, reliability,validity |
| Week 12 | Sampling Quantitative Data analysis |
| Week 13 | Quantitative Data analysis: Hypothesis testing |
| Week 14 | Qualitative data analysis and The research report |
| Week 15 | Project Presentation |
Reference Books & Course Materials
- 01 Uma Sekaran, Roger Bougie , 2013. Research Methods for Business: A Skill-Building Approach, 6th Edition, Wiley Publishing.
- 02 Neuman Lawrence. 2013. Social Research Methods: Qualitative and Quantitative approaches, 7th Edition, Pearson.
Learning Outcomes
- L01 L01-Understanding the basic concepts of scientific research SOLO 5
- L02 L02-Assessing the basic types of scientific research SOLO 6
- L03 L03-Learning to cover and asses existing literature SOLO 6
- L04 L04-Elaborating possible techniques for data collection and analyzing SOLO 6
- L05 L05-Learning to present findings SOLO 5
- L06 L06-Designing and undertaking a research paper to apply gained knowledge SOLO 6
Program Outcomes
- 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.
- 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.
- 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.
- Apply ethical principles, academic integrity, and responsible conduct of research in all phases of the research process, including data collection, analysis, reporting, and publication.
- Identify and address the social, legal, and ethical implications of information systems research and its applications within organizational and societal contexts.
- 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.
- 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.
- Collaborate and lead in interdisciplinary research environments, establishing productive scientific partnerships and managing research projects that integrate diverse academic perspectives.
- 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.
- Identify challenges and propose innovative, research-based solutions at the intersection of information systems, technology, and organizational strategy.
- Deliver advanced-level MIS courses, supervise graduate research, and nurture academic development through effective mentorship and scholarly teaching.
- 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
| LO | Average | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | 5 | 5 | 5 | 4 | 4 | 5 | 2 | 5 | 2 | 3 | 1 | 1 | 3.5 |
| L02 | 5 | 5 | 5 | 3 | 1 | 5 | 3 | 5 | 5 | 3 | 1 | 1 | 3.5 |
| L03 | 5 | 4 | 5 | 5 | 4 | 5 | 5 | 5 | 3 | 5 | 2 | 3 | 4.25 |
| L04 | 5 | 4 | 5 | 5 | 2 | 5 | 5 | 5 | 5 | 5 | 4 | 3 | 4.42 |
| L05 | 4 | 4 | 5 | 5 | 4 | 5 | 5 | 4 | 5 | 5 | 4 | 4 | 4.5 |
| L06 | 5 | 5 | 5 | 5 | 2 | 5 | 4 | 4 | 5 | 4 | 2 | 2 | 4 |