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TR

CONSUMER BEHAVIOR

Course
BUSN535 - CONSUMER BEHAVIOR
Department
Master of Business Administration - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
Dr. Umar SALEEM
Prerequisite
-
Keywords
-

Course Description

-

CONSUMER BEHAVIOR

Evaluation Tools (Active Term)

Item Type Weight (%)
Final-Term Final 40
Research Article (Case) Project 60
Total 100

Course outcomes

  1. 01 Understand the role of consumer behavior in the marketing process
  2. 02 Understand how consumers make purchase decisions and Identify the links between purchase decision models and market segmentatio
  3. 03 Acknowledge of the development of each part of the marketing mix in relation to           consumer behavior and appreciate the link between quality and customer satisfaction

Course Syllabus

Week Topic
Week 1 Chapter 1 Consumer Behavior: Its Origins and Strategic Applications
Week 2 Chapter 3 Market Segmentation
Week 3 Chapter 4 Consumer Motivation
Week 4 Chapter 5 Personality and Consumer Behavior
Week 5 Chapter 6 Consumer Perception
Week 6 Chapter 7 Consumer Learning
Week 7 Chapter 8 Consumer Attitude Formation and Change
Week 8 Mid-Term Exams
Week 9 Chapter 9 Communication and Consumer Behavior
Week 10 Chapter 10 Reference Groups and Family Influences
Week 11 Chapter 11 The Influence of Culture on Consumer Behavior
Week 12 Chapter 14 Cros-Cultural Consumer Behavior
Week 13 Chapter 16 Consumer Decision Making Process
Week 14 Revision
Week 15 -

Reference Books & Course Materials

  1. 01 Schiffman L. G. & Wisenblit J. (2019). Consumer Behavior 12E Pearson Prentice Hall
  2. 02 Solomon, M. R., & Russell, C. A. (2026). Consumer behavior (15th ed.). PPearson Prentice Hall.
  3. 03 Articles from journals

Learning Outcomes

  1. L01 Explain the role of consumer behavior in the marketing process SOLO 3
  2. L02 Discuss how consumers make purchase decisions  SOLO 5
  3. L03 Plan marketing strategies for the consumer market 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

LO Average
L01 - - - - - - - - - - - - -
L02 - - - - - - - - - - - - -
L03 - - - - - - - - - - - - -