Siemens ShareNet: Building a Knowledge Network

Alan D. MacCormack; Sven  Volpel; Kerry  Herman

Case | HBS Case Collection | November 2002

Siemens ShareNet: Building a Knowledge Network

by Alan D. MacCormack, Sven Volpel and Kerry Herman

Abstract

Describes the development of ShareNet, an innovative knowledge management system used by a division of Siemens. ShareNet attempts to capture the knowledge and experience of Siemen's many dispersed sales and marketing units around the globe, making it available to all. ShareNet has to date been funded as a corporate initiative, free to all who use it. But as the telecommunications market has collapsed, the group that runs it is under increasing pressure to cut costs. As a result, it is considering charging users who subscribe to the tool in the belief that these users will willingly pay for it. This relies, however, on being able to demonstrate that the tool/system has a positive return on investment--a notoriously difficult task.

Keywords: Cost Management; Investment Return; Revenue; Knowledge Acquisition; Knowledge Management; Sales;

Format: Print

27 pages

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Citation:

MacCormack, Alan D., Sven Volpel, and Kerry Herman. "Siemens ShareNet: Building a Knowledge Network." Harvard Business School Case 603-036, November 2002.

This case describes the operations of a fictitious company that processes Cranberries. The case contains data that allows students to calculate the bottleneck stage in production, and to evaluate alternative investment options for increasing cranberry processing capacity.

Case | HBS Case Collection | October 2018 (Revised February 2020)

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 (HBS 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. (Revised February 2020.) View Details

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Siemens ShareNet: Building a Knowledge Network

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