RESEARCH METHODS

Course Description

This course is designed to be a background pass to graduate studies. The ability to formulate a research question, finding the data relevant to research questions, analyze those data, and presentation of research findings are skills that will be acquired through this course. Scientific thinking skills and methods of research, using library and online archives, experimental design, and presenting quantitative data are modules covered within the scope of this course. Scientific communication, writing research proposals, scientific reporting and thesis writing are also supported. Conference presentations, time management in research projects, ethical issues, plagiarism and skills of working in a group and networking are also highlighted throughout the semester.

RESEARCH METHODS

Evaluation Tools (Active Term)

Course outcomes

1. 01 Assess suitable types of research
2. 02 Plan and write an effective research proposal
3. 03 Design and conduct a proper scientific research
4. 04 Perform ethical research
5. 05 Perform an effective literature survey
6. 06 Assess data collection methods
7. 07 Perform experiments and evaluate data
8. 08 Report and present research results

Course Syllabus

Reference Books & Course Materials

1. 01 Dr. Pandey, Prabhat and Dr. Meenu Mishra Pandey, “ RESEARCH METHODOLOGY: TOOLS AND TECHNIQUES”, ISBN 978-606-93502-7-0, © Bridge Center, 2015
2. 02 John W. CRESWELL, "Research Design", 4th Ed., Sage Publications Ltd.,2014.
3. 03 Patrick DUNLEAVY, "Authoring a PhD:How to Plan, Draft, Write and Finish a Doctoral thesis or Dissertation", Palgrave Study Guides, 2003.

Learning Outcomes

1. L01 Ability to conduct a proper scientific research
2. L02 Conducting ethical research
3. L03 Familiarity with different types of research
4. L04 Experience in writing an effective research proposal
5. L05 Experience in conducting an effective literature survey
6. L06 Experience in research design
7. L07 Experience in data collection methods
8. L08 Experience in experimentation and data interpretation
9. L09 Experience in Scientific Writing and Scientific Presentation

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