Moneyball for Knowledge Management

Moneyball for Knowledge Management

Douglas Weidner (KM Institute, USA) and John Girard (Middle Georgia State College, USA)
Copyright: © 2015 |Pages: 14
DOI: 10.4018/978-1-4666-8122-4.ch003
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Abstract

Moneyball is Michael Lewis's story about the use of statistical analysis and modeling by the Oakland A's baseball team to maximize games won per payroll dollar. When new techniques—analytics and evidence-based decision making—get such visibility their time may have arrived. Such analytic techniques have been known for some time as Management Science or Operations Research, but they are possibly not very well known by the Knowledge Management (KM) community. So, how will KM avail itself of this emerging capability? This chapter addresses emerging analytics by focusing on their use in the next generation of maturity models for KM.
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Consider The Medical Profession

Not too long ago the medical profession was still in the proverbial Dark Ages. Doctors used leeches for all manner of infirmities; they could not cure major diseases such as polio; and, they used aspirin, known for thousands of years for its pain relief attributes, solely for pain relief - just to mention a few ‘Dark Ages’, pre-Scientific Method applications. (See Key Terms & Definitions for a compelling story about Dr. Ignaz Semmelweiss, Chief of Obstetrics, who in the 1840’s battled these “Dark-Age forces” to save lives in his maternity ward.) Today, polio has essentially been eradicated, aspirin is a major tool against heart attacks and strokes, and even leeches and maggots have proven to have some very specific and beneficial uses, though describing such exceeds the scope of this chapter.

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