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Research Update

2019-24, July 15, 2019

Top Best Selling Cases 2018-2019

Amazon Go: Venturing into Traditional Retail
Wiboon Kittilaksanawong, Aurelia Karp

Apple Inc.: Managing a Global Supply Chain
P. Fraser Johnson, Ken Mark

Building a Backdoor to the iPhone: An Ethical Dilemma
Tulsi Jayakumar, Surya Tahora

Apple and Its Suppliers: Corporate Social Responsibility
Sun Hye Lee, Michael J. Mol, Kamel Mellahi

Netflix: International Expansion
Won-Yong Oh, Duane Myer

Amazon as an Employer
Jyotsna Bhatnagar, Shweta Jaiswal Thakur

Mary M. Crossan, Ariff Kachra

Introductory Note on the Case Method
John S. Haywood-Farmer (Emeritus)

Facebook, Inc.: The Initial Public Offering (A)
Deborah Compeau, Craig Dunbar, Michael R. King, Ken Mark

Pillsbury Cookie Challenge
Allison Johnson, Natalie Mauro

Managing Up (A): Grace
Karen MacMillan (Part-time)

Half a Century of Supply Chain Management at Wal-Mart
P. Fraser Johnson, Ken Mark

Keda’s SAP Implementation
Derrick Neufeld, Yulin Fang, Huaiqing Wang, Terrance Fung

ECCO A/S - Global Value Chain Management
Bo Bernhard Nielsen, Torben Pedersen, Jacob Pyndt

Does Mattel's Iconic Barbie Doll Need a Makeover?
Karen Robson, Stefanie Beninger

Lego Group: An Outsourcing Journey
Marcus Moller Larsen, Torben Pedersen, Dmitrij Slepniov

Apple Watch: Managing Innovation Resistance
Tania Bucic, Gaganpreet Singh

A Zero Wage Increase Again?
Karen MacMillan (Part-time)

Time Value of Money: The Buy Versus Rent Decision
Sean Cleary, Stephen R. Foerster

WestJet Airlines: Information Technology Governance and Corporate Strategy
Malcolm Munro, Sharaz Khan


Canadian Competition in Artificial Intelligence - $1M Leaders Prize

With the advancement of machine learning and natural language processing techniques, there is an opportunity to fact-check claims faster than ever and stop fake news before it spreads. The Leaders Prize will award $1 million to the team who can best use artificial intelligence to automate the fact-checking process and flag whether a claim is true or false.

There are two phases of the competition:

Phase 1:  the solution must automatically assign a truth rating to a given claim and provide a short text explanation of the rating rationale. There are three possible truth ratings. True; Mostly True; or False.

Phase 2:  team solutions must also provide evidence to support the truth rating and text explanation for each claim.

The winning team will create artificial intelligence that most accurately assigns a truth rating to a given claim and provides the best supporting evidence that either supports or refutes the claim.


November 18, 2019 – Phase 1 solution due
December 19, 2019 – Top 10 teams moving on to Phase 2 announced
May 8, 2020 – Phase 2 solution due
June 10, 2020 – Winning team announced

Information & Rules



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