2011/2012 KAN-SMC_SM58 Marketing Research in Innovation Processes
English Title | |
Marketing Research in Innovation Processes |
Course Information | |
Language | English |
Point | 7,5 ECTS (225 SAT) |
Type | Mandatory |
Level | Full Degree Master |
Duration | One Semester |
Time Table | Please see course schedule at e-Campus |
Study Board |
Study Board for MSc in Economics and Business Administration |
Course Coordinator | |
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Main Category of the Course | |
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Last updated on 29 maj 2012 |
Learning Objectives | |||||||||||||||||
At the end of the course the excellent student is expected to be able to: 1. Discuss the strategic as well as the operational meaning and implication of different qualitative research approaches (such as grounded theory, ethnography, etc.), and of different methods for collecting, analyzing, interpreting and reporting data. 2. Discuss the strategic as well as the operational meaning and implication of a quantitative market research process in general, and of methods of value in product innovation processes, as for example: cluster analysis, perceptual mapping, concept testing and conjoint analysis. 3. Discuss what kind of knowledge and why that is valuable in different stages and decision situations in a product innovation process, and implicitly, how to integrate and make us of different types of knowledge (qualitative and quantitative) about end-users in innovation processes. | |||||||||||||||||
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Course Content | |||||||||||||||||
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 ‘Marketing, Creativity and Innovation’ in that the course acts as a frame of reference and knowledge base for one empirical part of the SM20 semester project. 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. | |||||||||||||||||
Teaching Methods | |||||||||||||||||
The course consists of lectures, seminars and case-works. | |||||||||||||||||
Literature | |||||||||||||||||
·Qualitative Research & Evaluation Methods, (2002), Michael Quinn Patton, Sage Publications
A selection of articles about conjoint analysis and multidimensional scaling:
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