Moneyball for Knowledge Management

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Author(s): Douglas Weidner (KM Institute, USA)and John Girard (Middle Georgia State College, USA)
Copyright: 2015
Pages: 14
Source title: Strategic Data-Based Wisdom in the Big Data Era
Source Author(s)/Editor(s): John Girard (Middle Georgia State College, USA), Deanna Klein (Minot State University, USA)and Kristi Berg (Minot State University, USA)
DOI: 10.4018/978-1-4666-8122-4.ch003

Keywords: Data Analysis & Statistics / Information Science Reference / Knowledge Management / Library & Information Science

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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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