Social Sciences, Humanities, and Data Analysis
COURSE SYLLABUS
Social Sciences, Humanities, and Data Analysis
Program Title: MKT – EAM – Marketing Studies and Actions
Module Title: Social Sciences, Humanities, and Data Analysis
Credit number:
Duration 14 hours
Lecturer: PhD. Gaelle Jaouen Brayer
Module’s description
The course focuses on the aspect of “Sensory Marketing”, including the following basic contents: the concept and the impact of point-of-sale (sensory marketing) marketing on customers’ buying behavior; administrative applications of studying the effects of the point-of-sale atmosphere; Current and future key research directions, and the application of point-of-sale atmosphere design in sales stimulation.
Main aim(s) of the module
– Better understand the interactions between the different disciplines of the Social Sciences and Humanities.
– Master the different approaches to marketing research.
– Identify the impact of point-of-sale (sensory marketing) marketing on customer buying behavior;
– Apply governance for studying the effects of the point-of-sale atmosphere;
– Analysis of current and future major research directions,
– Practice applying the point-of-sale atmosphere design in sales stimulation.
Topics :
1. Interaction between different disciplines of the Social Sciences and Humanities.
2. Different approaches to marketing research.
3. Effects of point-of-sale (sensory marketing) marketing on customer buying behavior;
4. The governance applications of studying the effects of the point-of-sale atmosphere;
5. Current and future major research directions,
6. Design selling point atmosphere in stimulating sales.
7. Understand consumers in their marketing approach
8. Conduct market research
Reading and resources for the module
Lecture notes of lecturers
H. (Henry) Russell Bernard, 2012, Social Research Methods: Qualitative and Quantitative Approaches SAGE Publications
The course is the combination of lecture hours and in-class discussions. Group study is an important class activity, thus students will be divided into groups at the first lecture, and all groups will be working together throughout the course.
Evaluation
- Attendance: 10%
- Group assignment: 30%
- Final-term: Presentation 60%