2018/2019 KAN-CDASO2010U Data Economics
English Title | |
Data Economics |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Mandatory |
Level | Full Degree Master |
Duration | One Semester |
Start time of the course | Spring |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Study Board for BSc/MSc in Business Administration and
Information Systems, MSc
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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 19-06-2018 |
Relevant links |
Learning objectives | ||||||||||||||||||||||
During the course, the students will develop
analytical skills and abilities to assess market developments, and
thereby, improve their capabilities to engage in individual and
group decision making under uncertainty and solve specific business
problems. Upon completion of the course the students will be able
to develop and present concrete solutions to market problems and
advise firms about how to deal with datafication challenges and
opportunities.
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Examination | ||||||||||||||||||||||
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Course content and structure | ||||||||||||||||||||||
The major theories of economics of information, network economics and business economics will be the building blocks of this course. The course will start by presenting that are prominent for managing information and data, efficiently, and for analysing business strategies of digitalization. Then, selected issues with wide impact on firm’s strategy and market analysis will be presented. Indicative examples include pricing of information goods, auction design, economic effects of datafication and digitalization on business processes, products, and services and their economic impacts in terms of business models, competitive advantages, and market valuation. It will also cover topics such as customization, personalization, micro-targeting, network effects, switching costs. |
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Description of the teaching methods | ||||||||||||||||||||||
The course will be conducted in sessions of three time-slots (3x45). Each session is strongly based on students’ participation. Following the introduction, each session includes lectures presenting specific theoretical issues, practical examples to further the understanding of the theory as well as students’ participation in the discussions about specific business cases. CBS Learn is used for sharing documents, slides, exercises etc. as well as for interactive lessons if applicable. | ||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||
Feedback on student presentations and discussions will be provided. | ||||||||||||||||||||||
Student workload | ||||||||||||||||||||||
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Expected literature | ||||||||||||||||||||||
Textbooks:
Notes, articles, chapters and webpages will be handed out/made available during the course
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