RSM MBA 2009 Scenarios
Scenarios
Future of China in 2030
Future of the European Union in 2030
Future of Advertising in 2020
Future of Russia in 2030
Future of Sustainability 2030
RSM MBA 2009 Final Presentations
Monday, November 2, 2009 from 18.00 - 21.30 The DTN. Prinsengracht 707, 1017 JW Amsterdam
Will Attend
Johanna Little
Gerrit Ledderhof
Gudmundur Kristjansson
Mauricio Suzuki
Guy Kedar
Hugh Malkin
Vinod Nair
Daniela Cateriano
Justin Block
Geoff Spielman
Arthur Danzi
Will not Attend
Sameer Agarwal
Evaluation
50% Group work (final scenarios)
40% Individual work (survey, learning log, driving forces, strategic challenge)
10% Class participation (virtual and physical)
Final Scenario Evaluation Criteria
Scenarios will be considered to be of high quality if they contain the following:
- Solid assumptions and data reasoning
- Rich, thought-provoking ideas
- Beyond the obvious, assumption breaking ideas
- Scenarios that are linked to driving forces/factors
- Scenarios, driving factors, and ideas that are relevant to the issue (and related stakeholders)
- Scenarios with clear names
- Logical flow with visual representations of the thought process
- Plausible scenarios
- Balanced scenarios (1/4, 1/4, 1/4, 1/4)--all of the scenarios should be equally likely
- Surprising scenarios
- Detailed stories that enable the reader to follow the logic of the thought process
Numbers that Matter
present for 5 minutes as a group a short case based on numerical analysis of an existing popular assumption of the world that will get us to rethink current barriers<br\> Challenges to Conventional Wisdom
Driving Forces
As an individual define 2 driving forces and improve 2 driving forces
Learning Log
Make a map of your learning process by picking variables
group process: group roles (interchange), advocacy-listening, who talks the most, cultural
personal development: reflexivity, emotions, difficulty
content: subjective view of possible futures, many/few, divergence/convergence, deductive thinking, inductive thinking, sites visited,
learning: key learning moments, insights
Write a less than 3000 word essay on your learning in the course
Learning Maps
Gerrit Ledderhof
Geoff Spielman
Justin Block
Gudmundur Kristjansson
Maggie Zhu
Johanna Little
Hugh Malkin
Vinod Nair
Elsa Sheng
Kay Mei Tan
Mark Pospisilik
Kensuke Murai
Guy Kedar
Daniela Cateriano
Sameer Agarwal
Chia-Wei Lee
Andrei Grigorian
Mauricio Suzuki
Yunzhu MA
Arthur Danzi