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Open Government Data: Starting to Judge the Results | Freedom to Tinker
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Drawing on data from Washington DC, where officials led by then-city CTO Vivek Kundra have put a huge catalog of government data online, he analyzed usage statistics and found an 80/20 pattern of public use of online government data --- enormous interest in crime statistics and 311-style service requests, but relatively little about housing code enforcement and almost none about city workers' use of purchasing credit cards
Dave Fletcher's Government and Technology Weblog, v. 2.0: Thinking about ROI on a State Website
The FASTForward Blog » A Curious Case of Enterprise 2.0 : Enterprise 2.0 Blog: News, Coverage, and Commentary
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It Takes More than Social Software to Become an E2.0 Company
No one (okay, almost no one) expects that buying a word processor can turn him into a great writer. Yet somehow it’s almost widely assumed that deploying tools labeled E2.0 would turn an organization into an E2.0 business. Which couldn’t be further from the truth. Despite all the buzz, E2.0 is first of all a set of principles, not software bits. It is more about business practices and human behaviors than about features. Software with strong social computing capabilities makes it much easier to establish and maintain these practices, but it doesn’t create them on its own, nor does it sustain them.
Enterprise 2.0 and the Trough of Disillusionment « I’m Not Actually a Geek
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Collaboration is an activity. There is no ROI in collaboration itself. What enhanced collaboration produces is the benefit.
The ROI of being social at work | The AppGap
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MIT research shows that 40% of creative teams productivity is directly explained by the amount of communication they have with others to discover, gather, and internalise information. In other MIT studies, research shows that employees with the most extensive digital networks are 7% more productive than their colleagues. Furthermore, those with the most cohesive face-to-face networks are 30% more productive.
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This reinforces similar research by Aral, Brynjolfsson & Van Alstyne [3] that highlights the importance of these networks because they “strongly influence information diffusion … and access to novel information”. Availability of these networks, their research shows, is a highly significant predictor of worker productivity.
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