On 2005-11-06 16:14:00, Allan Engelhardt wrote in CYBAEA Journal:
Martin and Dave wonders why knowledge management has failed: the grand (and sometimes successful) projects of the late nineties and early noughties have come to nothing, and today's businesses pay only lip-service to being part of "the knowledge economy". Martin, always perceptive, suggests that the challenge may be cultural.
At CYBAEA we tend to talk about innovation management rather than knowledge management. We prefer to talk about the active utilization of knowledge over the pure gathering of information, which reminds us of dusty libraries run by aging spinsters. But whatever you call it, we agree that businesses are not doing very much about it. With the results we have seen from the brave exceptions, and given that innovation is probably the only thing that keeps your job out of India, this is surprising.
Martin pains a picture of the inflexible organization:
What is frightening is to find so many similarities between our large industrial multi-layered organizations and the former Soviet Union, which proved totally incapable of modernizing itself and eventually collapsed.
There may be some millage in this. Most current managers became successful in a company that was largely hierarchical and where the manager's leadership abilities, this is to say their ability to institute change from the top down, were valued. Dave spells it out:
Business leaders see their leadership role as critical to the organization's success; their frame of understanding is hierarchical -- they tend to believe that knowledge and value increases with experience and that rewards should go disproportionately to identified superstars and up-and-coming leadership candidates.
In this context, innovation management, enterprise social software, and, yes, even knowledge management, whatever you call it, represents a cultural change and therefore a threat. Change is diffucult and why change a formula that works?
Except, of course, that it isn't working very well anymore. All the easy jobs have already gone to India and China. Your job is going next, and you are not going with it. Unless you can innovate and show a clear and sustained benefit of keeping you around.
If you look where innovation has historically happened, you would look to universities and other scientific institutions. That's my background. The management there is traditionally collegiate rather then hierarchical. A system of essentially peers where everybody's contribution is valuable within an established method or way of working, seems to produce the most new insights.
Of course there are problems with a pure collegiate structure. Universities are not usually the best to capitalize on the applications of their innovations, and even just looking within pure research they can lack a certain amount of urgency and accountability.
That, then, is the challenge of the modern Western business. To change its structure to a more collegiate approach and foster innovation without sacrificing the ability to execute. To find the equivalent of the scientific method for successful businesses in the new knowledge economy.
Knowledge management, by whatever name, may help or hinder, but it is clear that it is not about the technology or the systems. It is about changing the way you manage your business. It is about saving your job.
On 2009-07-02 20:33:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
I am a sucker for good quality data. I wrote about data.gov, the US Government data site before, and now I find OECD Statistics which has some 300 data sets, many of which seems to be readily accessible (though some may require subscription)
Read more (~53 words).
On 2009-06-16 10:27:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
I like the "multicore" library for a particular task. I can easily write a combination of if(require("multicore",...)) that means that my function will automatically use the parallel mclapply() instead of lapply() where it is available. Which is grand 99% of the time, except when my function is called from mclapply() (or one of the lower level functions) in which case much CPU trashing and grinding of teeth will result.
So, I needed a function to determine if my function was called from any function in the "multicore" library. Here it is.
Read more (~190 words).
On 2009-06-12 10:23:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
Somebody on the R-help mailing list asked how to get Rmpi working on his Fedora Linux machine so he could do high-performance computing on a cluster of machines (or a single multicore machine) using the R statistical computing and analysis platform. Since it is unusually painful to get working, I might as well copy the instructions here.
Read more (~414 words, 2 comments).
On 2009-06-09 11:23:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
O’Reilly has published Data Mashups in R as a $4.99 PDF download in their Short Cut series. In 27 pages it takes you through an example of how to combine foreclosure information with maps and geographical information to produce plots like the one here. This is all done with the R statistical computing and analysis platform.
Read more (~108 words).
On 2009-06-01 07:07:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
Hugh Miller, the team leader of the winner of the KDD Cup 2009 Slow Challenge (which we wrote about recently) kindly provides more information about how to win this public challenge using the R statistical computing and analysis platform on a laptop (!).
Read more (~456 words).
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