This link has been bookmarked by 4 people . It was first bookmarked on 05 Jul 2008, by Takuya Homma.
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28 Sep 11
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06 Jul 08
ken ."A researcher spends a lot of time looking at data and trying to figure out what’s going on, and eventually comes up a story that explains what he’s seeing.. he calls this story a theory" - does the story hold up, testing: data/angles, Kuhnian anomaly
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05 Jul 08
Nick HortovanyiThe current IT toolkit lets companies propagate business ideas faster, more broadly, and with higher fidelity. That’s all that’s necessary to increase the pace of competition, and to keep it high.
it business productivity competitive advantage for:aqualung for:shaynephillips
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An intellectually honest researcher tries hard to prove his own story wrong by looking for data that do not support the story he’s come up with, and by seeing if another story explains things better. This part of the work is critically important, as it helps to ensure that the researcher doesn’t look silly later on when someone else comes up with the ‘right’ story. It also strengthens and refines the theory itself. My colleague Clay Christensen, in his description of theory building, talks about the important role played by anomalies, or observations that don’t fit the current story and so spur the quest for a better one. In short, a conscientious researcher tries hard to find other explanations and anomalies.
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- Because people within companies keep having good ideas, the winners and losers in any particular industry don’t stay stable over time. IT, in other words, doesn’t just increase the gaps between winners and losers. It also makes it less likely that the winners at any point in time will stay on top. This churn or turbulence is greater in industries that spend more on IT.
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This new, nastier competition does not depend on continued IT innovation. It only depends on continued managerial innovation.
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