2023/2024 KAN-CCMVV2321U Entrepreneurial Experimentation: Risk Literacy and Heuristics
English Title | |
Entrepreneurial Experimentation: Risk Literacy and Heuristics |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Elective |
Level | Full Degree Master |
Duration | One Quarter |
Start time of the course | First Quarter |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Study Board for cand.merc. and GMA (CM)
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Course coordinator | |
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Main academic disciplines | |
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Teaching methods | |
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Last updated on 16-02-2023 |
Relevant links |
Learning objectives | ||||||||||||||||||||||||
After the course, it is expected that the
participants can:
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Prerequisites for registering for the exam (activities during the teaching period) | ||||||||||||||||||||||||
Number of compulsory
activities which must be approved (see section 13 of the Programme
Regulations): 1
Compulsory home
assignments
The student must get approval for 1 out of 2 assignments in order to attend the ordinary exam. Both assignments are written in a group but is evaluated individually. The group members must prepare a statement that outlines each individual's contribution to the assignment. The assignment is evaluated internally on a pass/fail basis. The purpose of the assignments is to provide students feedback concerning their ability to use the competencies gained in the course. The student will not have extra attempts to get the required number of compulsory activities approved prior to the ordinary exam. If the student has not received approval for the required number of compulsory activities or has been ill, the student cannot participate in ordinary exam. Prior to the retake the student will be given an extra attempt. The extra attempt is a 10 page home assignment that will cover the required number of compulsory activities. If approved, the student will be able to attend retake. Please note that students must have made an effort in the allocated assignments thoughout the course. Students that do not participate in the assignments (no show/U) are not entitled to the extra assignment and will have to wait until the next ordinary exam to complete the course. |
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Examination | ||||||||||||||||||||||||
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||
Most of today’s entrepreneurial decisions must be made facing
deep uncertainty. We can no longer straightforwardly evaluate known
risks but need to re-learn relations that characterize business
environments. New decision patterns have to be learned rather
quickly, for instance, in the new inflationary environment.
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Description of the teaching methods | ||||||||||||||||||||||||
The eleven lectures are to a large extent
literature-based and will also incorporate short cases to discuss
some of the challenges of entrepreneurial experimentation. We
intend to engage in a dialogue-based teaching approach. Thus, to
gain the most benefit from class sessions students should be
prepared to take an active part in class discussions and to prepare
the readings thoroughly.
We boost the interactive components of the course by incorporating case presentations of students. Students will form groups to present cases that are assigned in the first two lectures. Each student will be responsible for one slide in a case presentation. This slide is the mandatory assignment that must be passed to get admission to the final exam. |
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Feedback during the teaching period | ||||||||||||||||||||||||
The design of the course follows a proactive
feedback philosophy by ex-ante mirroring the exam. Students are
repeatedly exposed to learning objectives and exam sub-tasks. In
particular, students will receive detailed feedback after their
case presentation (the mandatory assignment). Moreover, we will
discuss writing samples of the students in class to give students a
clear idea on how their final exams will be graded.
In related preparation sessions, students can ask for detailed feedback on their performance. Hence, they have opportunities for feedback all along the course, and well before they enter the actual exam. Parts of the final lecture are used to recap material, provide overarching feedback, and invite detailed student questions. |
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Student workload | ||||||||||||||||||||||||
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Expected literature | ||||||||||||||||||||||||
Camuffo, A., Cordova, A., Gambardella, A., & Spina, C. (2020). A scientific approach to entrepreneurial decision making: Evidence from a randomized control trial. Management Science, 66(2), 564-586. Gans, J. S., Stern, S. & Wu, J. (2019). Foundations of entrepreneurial strategy. Strategic Management Journal, 40(5), 736-756. Ehrig, T. & Schmidt, J. (2019) Making biased but better predictions: The trade-offs strategists face when they learn and use heuristics. Strategic Organization, https://doi.org/10.1177/1476127019869646 Gigerenzer, G. (2015). Risk savvy: How to make good decisions. Penguin. Gigerenzer, G., & Brighton, H. (2009). Homo heuristicus: Why biased minds make better inferences. Topics in cognitive science, 1(1), 107-143. Taleb, N. N. (2012). Antifragile: Things that gain from disorder (Vol. 3). Random House Incorporated. |