| Learning objectives |
To achieve the grade 12, students should meet the
following learning objectives with no or only minor mistakes or
errors:
- Understand the principles of Open Innovation and related risks
and opportunities. The student must also understand where
innovation-related knowledge is located and have learned about
distributed sources of innovation (inside and outside
organizational boundaries), their characteristics and good-practice
examples.
- Obtained knowledge about key approaches and related methods for
search across distributed sources of innovation and their
advantages, disadvantages, and fields of application.
- Understand prerequisites, constraints, and opportunities of
local vs. distant search in generating innovations. The student
must also understand the importance of users as a source of
innovation and how the search processes for users’ innovation
inputs can be designed.
- Have knowledge about specific approaches, tools, and real-life
applications related to the use of Open Innovation in developing
innovation.
- Cognitive and subject specific skills in accessing and
leveraging innovation-related knowledge located in distributed
sources as well as skills in assessing their organizations’ search
competences for integrating knowledge from distributed innovation
sources.
- Skills in orderly, analytical thinking, analyzing cases, and
effectively reporting results in a written and oral form.
- Skills for systematically matching innovation-related problems
with appropriate sources of innovation and solution search
strategies
|
| Course prerequisites |
| There are no preconditions for your
participation. The course is relevant to managers from all kinds of
industries who want to influence their workplaces and careers by
mastering new forms of innovation practices. More specifically,
practices that are characterized by being more open, collaborative,
and multi-domain-spanning than traditional models. |
| Examination |
|
Managing Open
Innovation:
|
| Exam
ECTS |
5 |
| Examination form |
Home assignment - written product |
| Individual or group exam |
Individual exam |
| Size of written product |
Max. 10 pages |
| Assignment type |
Written assignment |
| Duration |
Written product to be submitted on specified date
and time. |
| Grading scale |
7-step scale |
| Examiner(s) |
Internal examiner and second internal
examiner |
| Exam period |
Summer |
| Make-up exam/re-exam |
Same examination form as the ordinary exam
|
Description of the exam
procedure
Students will design open innovation projects, draft an
implementation plan, and assess relevant critical factors for
project
implementation.
|
|
| Course content and structure |
|
This course provides the foundation for managing open innovation
processes in firms. Comparing closed to open innovation approaches,
the course focuses on outside-in open innovation processes, i.e.
sourcing external knowledge from and collaborating with users,
universities, suppliers, competitors, and the like for generating
innovation. Moreover, the course discusses the interplay between
innovation, exploration, exploitation, and search, and the growing
importance of efficient search approaches across widely distributed
sources of innovation. More specifically, we will discuss the
concepts of local vs. distant search and related search methods for
accessing and leveraging innovation-relevant knowledge.
The Managing Open Innovation course will particularly
highlight the role of users and user communities as a source of
innovation. Finally, the course will introduce participants to
concrete search applications such as crowdsourcing for generating
inputs to organizations’ innovation processes.
|
| Teaching methods |
| The course will be organized in full-day,
workshop-style blocks. It applies an interactive and problem-based
teaching approach and combines a mix of mini lectures, ad-hoc group
work based on mini-exercises, case study analysis, in-class
presentations and discussions, and guest speakers. |
| Feedback during the teaching period |
| Feedback during class will be possible. |
| Student workload |
| Preparation |
105 hours |
| Teaching hours |
32 hours |
| Exam |
0,5 hours |
|
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