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MKT46210

Academic Year 2024/2025

Neuromarketing & AI (MKT46210)

Subject:
Marketing
College:
Business
School:
Business
Level:
4 (Masters)
Credits:
7.5
Module Coordinator:
Dr Aiqing Ling
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

In the first two decades of the 21st century, we have observed the integration of numerous technologies across different business sectors. Technologies from seemingly disparate fields have been adapted to innovate and redefine our understanding of established business concepts and practices. For example, cognitive neuroscience technologies like neuroimaging and electroencephalograms have been applied to marketing. This approach, often termed “neuromarketing,” aims to delve into how consumers perceive, think, feel, and respond to marketing stimuli beyond their articulated opinions. This area of research has provided marketing managers with fresh perspectives, prompting them to rethink the design of marketing practices to ensure they are truly customer-centric.

Similarly, technologies such as artificial intelligence (AI), along with its popular subdivisions like machine learning and deep learning, have become the most talked-about managerial topics. In today's world, businesses risk being deemed outdated if they fail to incorporate—or at least claim to incorporate—some aspects of these technologies. AI has significantly enhanced business operations in numerous ways, such as improving lead generation, customer acquisition, and pricing optimization. Some AI applications have exhibited remarkable cognitive abilities, once thought to be unique to humans . Nevertheless, due to their novelty—or perhaps perceived novelty—and intricacy—or perhaps ostensible intricacy—AI technologies are often shrouded in mystery. This has led to misconceptions and debates about the true nature of AI and how managers can effectively harness it in their business practices .

Against this expansive backdrop, this module is structured to critically examine the application of neuroscience technologies, AI, and other contemporary technologies within the realms of marketing and management. Our exploration will be centered on the technologies stemming from neuroscience and AI, embarking on a quest to uncover answers to pivotal questions: How is neuroscience reshaping our comprehension of consumer behavior? In what ways can neuromarketing contribute to enhanced marketing strategies in areas like branding, advertising, and user experience? Can we justifiably claim that neuromarketing might pinpoint and manipulate the consumer "buy button"? Regarding AI, what does it encompass precisely? Which domains currently benefit from AI applications, and what limitations does AI face? What considerations should a company weigh before integrating AI into its operations? How do consumers psychologically respond to the realization that they are interacting with AI? And under what circumstances might consumers prefer AI assistance to that of human expertise, or the other way around?

About this Module

Learning Outcomes:

1. Grasp the fundamental concepts and principles underlying neuromarketing and AI.
2. Discover the applications of neuroscience and AI in deepening consumer understanding, improving management practices, and spurring new business initiatives.
3. Develop the ability to critically assess the advantages and disadvantages of employing neuromarketing and AI in particular business scenarios.
4. Understand the ethics and contemporary boundaries of neuromarketing and AI

Indicative Module Content:

Please refer to the syllabus on Brightspace for details

Student Effort Hours:
Student Effort Type Hours
Lectures

24

Autonomous Student Learning

144

Total

168


Approaches to Teaching and Learning:
This module will adopt an action learning approach, intertwining theoretical study with case analyses and practical in-class activities. The content delivered will draw from psychology, cognitive neuroscience, computer science, and other pertinent fields, showcasing how insights from these areas fuel innovative marketing methodologies.

To maximize the value of this course, students are expected to complete the assigned readings before each class and actively contribute to class discussions. The course structure also includes small group activities designed to delve into the learning outcomes tied to the course content. Interactive educational technologies will be employed to foster engagement. Moreover, to enrich the understanding of the concepts' practical applications, guest speakers with specialized expertise will be invited to contribute to the classes when feasible.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Group Work Assignment: The assignment requires you to analyze a firm that impresses you and has employed neuroscience or artificial intelligence (or related technologies) in its marketing, management or business. Week 12 Standard conversion grade scale 40% No
40
No
Quizzes/Short Exercises: Work with Generative AI to create and refine prompts to address one of the challenges in a marketing scenario. Week 12 Standard conversion grade scale 40% Yes
30
Yes
Report(s): Address case questions in a case memo Week 12 Standard conversion grade scale 40% Yes
30
Yes

Carry forward of passed components
No
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Peer review activities

How will my Feedback be Delivered?

Not yet recorded.

Refer to the syllabus for the reading list.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Lecture Offering 1 Week(s) - 24 Fri 11:00 - 12:50
Spring Lecture Offering 1 Week(s) - 20, 21, 23, 25, 26, 29, 30, 31, 32 Mon 10:00 - 11:50
Spring Lecture Offering 1 Week(s) - 33 Wed 09:00 - 10:50