Collaboration

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Image courtesy of Flickr user marcusnelson.

Creating Employee Networks That Deliver Open Innovation

Companies such as Procter & Gamble, Cisco Systems, Genzyme, General Electric and Intel are often credited with having attained market leadership through open innovation strategies. By tapping into and exploiting the technological knowledge residing beyond their own R&D structures, these companies outmaneuvered rivals. But while other organizations try to follow their example, many are failing because they neglect to ensure that the outside ideas reach the people best equipped to exploit them.

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The Collaborative Organization: How to Make Employee Networks Really Work

CIOs who learn to balance formal and informal structures can create global IT organizations that are more efficient and innovative than organizations that rely primarily on formal mechanisms. Organizational network analysis provides a useful methodology for helping executives assess broader patterns of informal networks between individuals, teams, functions and organizations, and for identifying targeted steps to align networks with strategic imperatives.

Image courtesy of Flickr user raspberreh.

Are You Ready to Reengineer Your Decision Making?

There has been enormous progress in embedding the use of analytics at lower levels of companies. But according to Thomas H. Davenport, professor at Babson College and one of the best-known thinkers about analytics and business intelligence, the upper levels of companies haven’t kept up.

Courtesy of DuPont.

The IT Audit That Boosts Innovation

Innovators tend to think that information technology systems are too orderly and controlling even to cope with the messy process of innovation — much less enable it. But as some leading companies show, smart managers bring the whole IT menu to the challenge.

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The Collective Intelligence Genome

This 2010 article explores how large, loosely organized groups of people are working together electronically in surprisingly effective ways — sometimes without even knowing it. To take advantage of the new possibilities and potential of collective intelligence, managers need a deep understanding of how these systems work. The authors employ an analogy from biology and call the building blocks that are combined and recombined in various ways the “genes” of collective intelligence systems.

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