D-Wave Systems: Building a Quantum Computer

Alan D. MacCormack; Ajay  Agrawal; Rebecca  Henderson

Case | HBS Case Collection | April 2004

D-Wave Systems: Building a Quantum Computer

by Alan D. MacCormack, Ajay Agrawal and Rebecca Henderson

Abstract

D-Wave Systems is a start-up seeking to commercialize a quantum computer. Its business model is unique: as of 2003, it had very few technical resources within the firm. Instead, it financed a series of projects undertaken at universities and government labs. In return for partial funding, these organizations gave D-Wave the ownership of--or exclusive rights to--intellectual property developed in the project. Geordie Rose, CEO of D-Wave, wonders how long this model is appropriate in contrast to the alternative of centralizing the research in an in-house facility, with all the costs this would incur.

Keywords: Business Model; Business Startups; Engineering; Investment; Intellectual Property; Product Development; Research and Development; Commercialization; Computer Industry;

Format: Print

28 pages

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Citation:

MacCormack, Alan D., Ajay Agrawal, and Rebecca Henderson. "D-Wave Systems: Building a Quantum Computer." Harvard Business School Case 604-073, April 2004.

Case | HBS Case Collection | October 2018

Innovation at Uber: The Launch of Express POOL

Chiara Farronato, Alan MacCormack and Sarah Mehta

Set in March 2018, the case follows ride-sharing company Uber as it develops and launches a new product called Express POOL. This product offers a reduced price to riders willing to carpool, walk a short distance to/from their pick-up and drop-off points, and wait a few minutes before being matched to a driver. Two weeks after the launch of Express POOL in six U.S. cities, Uber’s product managers discover that if riders are made to wait five minutes to be matched to a driver—rather than the standard two minutes—rider cancellation rates increase, but Uber’s costs per ride are reduced. Together with data scientists, engineers, and product operations specialists, the product managers must decide whether to keep rider wait times at two minutes or increase wait times to five minutes in the six newly launched cities. The decision is complicated by the fact that Uber’s data science team normally places a five-week moratorium on changes to any new product, to allow robust data to be collected on its performance.
This case is paired with a supplementary dataset from Uber (courseware no. 619-702). In advance of the class discussion, students can analyze the data and draw their own conclusions about the trade-offs of maintaining the standard wait times or increasing them.

Keywords: Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Technology; Mobile Technology; Software; Technology Platform; Decision Making; Technology Industry; California; San Francisco;

Citation:

Farronato, Chiara, Alan MacCormack, and Sarah Mehta. "Innovation at Uber: The Launch of Express POOL." Harvard Business School Case 619-003, October 2018. View Details

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D-Wave Systems: Building a Quantum Computer

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