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RESEARCH IN INFORMATION SYSTEMS: ORGANIZATIONAL PERSPECTIVES

Course
ASCI503 - RESEARCH IN INFORMATION SYSTEMS: ORGANIZATIONAL PERSPECTIVES
Department
Master of Management Information Systems - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
Prof. Dr. HALUK BALKAN
Prerequisite
-
Keywords
-

Course Description

This course is designed to provide an introduction to theoretical perspectives and foundations in the fundamental topics of information and communication technologies, digital systems and digitization in business processes. This course aims to help information systems postgraduate students to carry out a research in Information Systems field as well as in fields of business, information science, communications, computer science, etc. In this course, students will be able to apply and understand the strengths and weaknesses of the commonly used research methodologies in information systems, enhance their ability to theorize about information technology and learn the process of publishing information technology related research in information systems and non-IS journals.

RESEARCH IN INFORMATION SYSTEMS: ORGANIZATIONAL PERSPECTIVES

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Paper (Project Proposal) Assignment 30
Final Paper (Literature Review paper publisha Assignment 50
Powerpoint presentation of the final paper Presentation 20
Total 100

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

Week Topic
Week 1 Introduction to course, processes
Week 2 Research Methodology andesarch Process
Week 3 Research Problem
Week 4 Model Building & Variables and Their Types-
Week 5 Research Proposal &Formulation of Hypothesis
Week 6 Literature Survey & Plagiarism
Week 7 Data Collection & Sampling
Week 8 MIDTERM EXAMINATION
Week 9 Writing a paper in Scientific Format
Week 10 Presentations of results
Week 11 Effective Technical Writing
Week 12 Ethical issues in research & Collaboration in research
Week 13 Student Presentations
Week 14 Student Presentations
Week 15 Not Scheduled inAcademic calender

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 THIS COURSE WILL EQUIP OUR STUDENTS WITH THE NECESSARY KNOWLEDGE OF DIFFERENT RESEARCH METHODS
  2. L02 TO ENABLE THE STUDENTS TO PERFORM DATA COLLECTION
  3. L03 TO ENABLE THE STUDENTS TO SELECT THE PROPER SAMPLE FOR RESEARCH
  4. L04 TO ENABLE THE STUDENTS TO CARRY OUT THE STATISTICAL ANALYSIS USING SPSS SOFTWARE
  5. L05 TO ENABLE STUDENTS TO PREPARE A RESEARCH PROPOSAL
  6. L06 TO ENABLE THE STUDENTS TO WRITE A RESEARCH THESIS AND A RESEARCH PAPER

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

LO Average
L01 - - - - - - - - - - - - -
L02 - - - - - - - - - - - - -
L03 - - - - - - - - - - - - -
L04 - - - - - - - - - - - - -
L05 - - - - - - - - - - - - -
L06 - - - - - - - - - - - - -