SemesterSpring Semester, 2025
DepartmentIMBA Program, First Year IMBA Program, Second Year
Course NameConsumer Behavior
InstructorHO FOO-NIN
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule













































Date Topic To Do Tasks Reading List
May 25th

(Sun)
1. Introduction and the Study of

Consumer Behavior

2. Customer Value Assessment and

Valuing Customers

3. Trade-Off Analysis (Choice-Based)

4. Project Discussion
1. Conjoint Analysis

in 10 minutes

https://youtu.be/yi

RNcHU2ZGU

2. Choice-Based

Conjoint

https://youtu.be/Rf

m0USTVgug
1. The Elements of Value

https://hbr.org/2016/09/the-elements-of-value

2. Article: How Much More (or Less) is a Brand Worth When Made in a Low

Labor-Cost Country? It Depends Upon Who and Where You ask.

3. Article: Consumer Perception of Functional Foods: A Conjoint Analysis

with Probiotics.
June 1st

(Sun)
1. Trade-Off Analysis (MaxDiff)

2. Segmentation, Targeting, and

Positioning (STP)

3. Consumer Perception

4. Project Discussion
1. Powers of

Perception

https://youtu.be/Y

QXe1CokWqQ

2. MaxDiff

https://youtu.be/y4

QopqblGUc
1. Your Smartphone Says a Lot About You

http://www.marketwatch.com/story/your-smart-phone-says-a-lot-about-you-

2010-09-17?siteid=yhoof
June 14th

(Sat)
1. Consumer Learning and Memory

2. Case: Garbage Collection in

Taiwan

3. Consumer Decision Making Process

4. Project Discussion
  1. Garbage case article

http://www.washingtonpost.com/wpdyn/

content/article/2007/11/29/AR2007112901887.html

2. 4 cognitive biases and psychological drivers for influencing behavior

https://marketingland.com/4-cognitive-biases-and-psychological-drivers-forinfluencing-

behavior-

279428?MessageRunDetailID=1827054100&PostID=14964876&utm_medi

um=email&utm_source=rasa_io

3. The Business of Behavioral Economics

https://www.forbes.com/sites/hbsworkingknowledge/2014/08/11/thebusiness-

of-behavioral-economics/#663e992a5a6e
June 21st

(Sat)
1. Group Influences and Opinion

Leadership

2. Economics of behavior

3. Project discussion
  1. How Costco Tricks You In Buying More

https://consumerist.com/2014/01/27/simplified-shopping-how-costco-tricksyou-

into-buying-more/

2. Article: The Psychology of Waiting Lines
June 22nd

(Sun)
Project presentation   1. “Lucifer Effect”

http://www.sfgate.com/cgibin/

article.cgi?f=/c/a/2007/04/29/RVGUJPCSIF1.DTL
June 28th

(Sat)
     


 


Teaching Methods
Teaching Assistant
Requirement/Grading

Grades will be based on the following:

Final (Class Project)                                                                                60%

Class participation (attendance, case discussion, etc.)                          40%



 



CLASS PROJECT

The aim of this project is to apply the course concepts and materials in a real world situation. While students can focus on traditional consumer behavior studies; however, given that Artificial intelligence (AI) is permeating individuals’ daily lives and as such has various long-term marketing implications, this year’s theme will focus on the impact of Generative AI to reshape business models, industries, and global economies. The goal of this project is to look at the impact on AI on marketing – both on how AI can be used in marketing to consumers, and how consumers perceive the impact of AI in their consumer journey. Students will do this project in groups of 3-5.

 



Potential topics include:

1. Market Dynamics and Consumer Behavior: Assessing the influence of Generative AI on market dynamics, consumer preferences, consumer-brand relationships, information search, and consumption patterns, as well as the potential for personalized and targeted marketing strategies.

2. Policy and Regulatory Implications: Discussing the evolving role of policy and regulatory frameworks in response to the rapid adoption of Generative AI in the business landscape, including data privacy, copyright, security, and ethical considerations.

3. Industry Applications: Applications to a range of industries including Finance and Healthcare as well as the integration of Generative AI in supply chain management, logistics, and operations.

4. AI Ethics and Social Responsibility: Addressing the ethical challenges and social implications of Generative AI in business, such as algorithmic fairness, transparency, and accountability.



5. Consumer Well-being: Implications of Generative AI on individual wellbeing, including mental health,

interpersonal relationships, trust in institutions, and concerns about existential risk.

6. AI technology for a better customer experience

a. The role of firms in delivering AI-powered transformative experiences

b. The use of AI technology in healthcare, education and financial services

c. Unintended negative effects of AI on customer experience

 



Deliverable

Each group will make a brief presentation (30 minutes) on the last day of class and submit the PowerPoint

presentation as your report.

Consumer Behavior Study

• Start your project by choosing a specific product or service category.

• Conduct a brief secondary research on the product or service including market size and market structure

(number of firms, share of market, sales volume, etc.) and describe market segments and market trends.

• Conduct a primary research (survey) and use any or all of the techniques covered in the class (STP,

positioning, conjoint) to understand consumer choice or perception.

• Pick one or more of the brands and offer strategic recommendations for each including positioning,

differential advantage, innovation, targeting, marketing mix, etc. based on your analysis and discussion of

consumer behavior, assuming that people you talked to represent a market segment.



Resources

https://aws.amazon.com/what-is/generative-ai/

https://news.mit.edu/2023/explained-generative-ai-1109

https://www.techtarget.com/searchenterpriseai/definition/generative-AI

https://youtu.be/rwF-X5STYks?si=n0KYKVzo7yWq1KWA


Textbook & Reference
Urls about Course
Attachment

NCCU_IMBA_Consumer_Behavior_Syllabus_Spring_2025 _002_.pdf