Aim of the course Over the years, several studies have supported the notion that ‘marketing as a set of values, knowledge creating processes and assets (brand identities and images, customer relationships and trust etc.) play a key role in product, brand market channel innovation processes. The focus in this course concerns this role in relation to the bringing-in and making-use of end-user knowledge in innovation processes. Accordingly, one objective of the course is to further develop the students’ competencies and skills about qualitative and quantitative methods of data collection, analysis and representation. Another and related objective concerns the particular context and decision situation where knowledge about end-users is asked for in innovation processes. Thus, a second objective concerns to develop the students’ abilities to decide on what kind of knowledge and why that is valuable in different stages and decision situations in an innovation process, and implicitly, how to integrate and make us of different types of knowledge about end-users in innovation processes.
Contents Like the previous courses, the structure of this course is impressed by its propositions and objectives. Thus, the first part of the course deals with the following issues: What represent a qualitative and a quantitative research question and what set’s the two methodologies apart? What qualitative and quantitative methods for collecting, analysing and representing data exists when concerned with knowledge creation about end-users preferences, values and behaviours. In the second and major part of the course our focus is on a selection of qualitative and quantitative analytical models and methods (as for example emphatic design, MEC, cluster and conjoint analysis) for integrating knowledge about and from end-users: in the fuzzy-front-end (ideation), in the testing and in the evaluation of ideas for product, brand and channel innovation. During this part of the course emphasis is put on applying models and methods in relation to a concrete innovation project.
Progression This course is directly linked to the course ‘Market Creation Management’ in that the course acts as a frame of reference and knowledge base for one empirical part of the SM20 semester project. |
Qualitative Research Methods in Public Relations and Marketing Communications, 2002, Christine Daymon and Immy Holloway, Routledge. Product Development and Target Market Segmentation, 2009, Marcus J Schmidt and Svend Hollensen, Pearson.
A selection of influential articles about conjoint analysis and multidimensional scaling: Buser, Samuel Jackson (1989) “A Counseling Practitioner's Primer to the Use of Multidimensional Scaling.” Journal of Counseling and Development, March, Vol. 67 Issue 7, p420, 4p, 1 diagram; (AN 4969345) Green, Paul E. and Abba M. Krieger (1999) “Segmenting Markets with Conjoint Analysis. Journal of Marketing, October, Vol. 55 Issue 4, p20-31. Gustafsson, Anders; Frederik Ekdahl, and Bo Bergman (1999) “Conjoint Analysis: A Useful Tool in the Design Process. Total Quality Management, May, Vol. 10 Issue 3, p327-343. McCullough, Dick (2002) “A User's Guide to Conjoint Analysis”. Marketing Research, Summer, Vol. 14 Issue 2, p18-23. Pegels, C. Carl and Chandra Sekar (1989) “Determining Strategic Groups Using Multidimensional Scaling”. Interfaces, May/Jun, Vol. 19 Issue 3, p47-57, Pullman, Madeleine E.; Kimberly J. Dodson and William L. A. Moore. (1999). “Comparison of Conjoint Methods When There Are Many Attributes.” Marketing Letters, May, Vol. 10 Issue 2, p125-138. Vriens, Marco (1993) “Solving Marketing Problems with Conjoint Analysis.” Journal of Marketing Management, Jan-Apr, Vol. 10 Issue 1-3, p37-55. |