The focus of this class lies on exploring which insights different research and analysis methods can provide when used to investigate the – superficially – same problem. Organizing social and economic interactions and transactions on digital platforms and in digital ecosystems has consequences on technical, economic, ecological, social and personal levels. We will use different theories and research methods from strategy and management literature, microeconomics and behavioural economics, and information systems research to deconstruct multidimensional challenges digital ecosystems face, to experience how different disciplines address facets of these challenges, and to attempt to re-combine domain-specific solutions to single facets into an answer to the multidimensional challenge. Depending on student interest, data-driven approaches complement the theoretical perspective.

The rules on the attendance of a Continuous Assessment Course (PI) apply. See the dedicated page on the WU portal for further information. Quote from that page: " Pursuant to the general guidelines issued by the Vice-Rector for Academic Programs and Student Affairs, the attendance requirement is met if a student is present at least 80% of the time."

Assessment

• Individual or group report 40%
• Individual or group presentations 20%
• Literature reviews 30%
• Peer review 5%
• Individual reflections on own presentations and report 5%

Grading scale:

90% to 100% Excellent (1)

80% to <90% Good (2)

70% to <80% Satisfactory (3)

60% to <70% Sufficient (4)

0%   to <60% Fail (5)