MBM400A Research for Brand Decisions

• Topics

  Good decisions require good information. Therefore, the course introduces basic marketing research principles to make sure that students are able to assess decision relevant information. Further, the course focuses on a couple of central brand decisions to improve the ability of students to request and analyze necessary information to improve marketing decisions involving the brand. Students will also be presented common research techniques used to inform brand decisions.

   

  Themes:

  Basic Marketing Research Principles

  Presentations of Concepts and Research Techniques to Support Brand Decisions Involving:

  Experiments

  Factor Analysis

• Learning outcome

  Knowledge - upon successful completion the student

  • will know basic marketing research principles
  • will have some knowledge about central metrics useful for making brand decisions
  • will have an understanding of research processes and techniques

  Skills - upon successful completion the student can

  • define research problems and questions
  • develop research design relevant for answering research questions
  • assess and revise measurement of relevant concepts
  • apply relevant tools and techniques to solve brand research problems              

  General competence - upon successful completion the student

  • can initiate and supervise marketing research processes
  • can evaluate information produced by market research
  • can plan and evaluate the research methodology approach for the master thesis

• Teaching

  Flipped classroom approach. Group assignments. Only a few plenary sessions.  The course will be digital fall 2021.

• Recommended prerequisites

  A basic background in statistics may come in handy. However, this is not a requirement.

• Requirements for course approval

  Quizzes.

  Approval of group assignments.

• Assessment

  One group term paper (15 pages), 4-6 students.

• Grading Scale

  A-F

• Computer tools

  None.

• Literature

  Students get access to the course material on Canvas. An alternative (but not required) to the available course material is the following text book:

  Dawn Lacobucci (2013): Marketing Models: Multivariate Statistics and Marketing Analytics, South-Western, Cengage Learning