![\"imagejw4\"](\"http:\/\/www.dkms.com\/kmci\/alllifeisproblemsolving\/wp-content\/themes\/cutline-3-column-split-11\/images\/57328main_MM_image_feature_151_jw4.jpg\")
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Today, Stephen Bounds offered an important blog post<\/a> entitled \u201cKM and Monte Carlo Simulations\u201d and an attached paper<\/a> entitled: \u201cUsing Monte Carlo simulations to predict outcomes of KM interventions.\u201d In the paper, Stephen uses Monte Carlo simulations along with the assumption that across-the-board KM interventions have a probabilistic (propensity) effect on \u201cknowledge failures,\u201d to show that if the interventions have a moderate effect on reducing knowledge failures of, say, 10%, then the intervention may still \u201c. . . have a negligible effect on bottom-line savings over a sustained period of time.\u201d In addition, in a related list serv post at actkm.org<\/a>, he says further:<\/font><\/font><\/p>\n \u201dDepending on the organisational situation, you may need to achieve up to a 50% reduction in knowledge failures before you can reasonably bank on getting a good rate of return on investment. Unless you can guarantee this as part of a general KM program, you are putting your own reputation on the line for what is essentially a gamble.\u201d <\/font><\/font><\/p>\n<\/blockquote>\n Even though I haven’t fully digested or critiqued its assumptions yet, and even though I’m not entirely clear on what constitutes an \u201cacross-the-board,\u201d as opposed to a targeted KM program from Stephen’s point of view, I highly recommend this paper and the related blog. It’s worth reading and thinking about before one allows oneself to adopt a KM strategy calling for a general KM program.<\/font><\/font><\/p>\n","protected":false},"excerpt":{"rendered":" Today, Stephen Bounds offered an important blog post entitled \u201cKM and Monte Carlo Simulations\u201d and an attached paper entitled: \u201cUsing Monte Carlo simulations to predict outcomes of KM interventions.\u201d In the paper, Stephen uses Monte Carlo simulations along with the assumption that across-the-board KM interventions have a probabilistic (propensity) effect on \u201cknowledge failures,\u201d to show […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9,12,8],"tags":[1477,1466,692,1467,53,1470,32,1469,1468],"class_list":["post-177","post","type-post","status-publish","format-standard","hentry","category-km-methodology","category-km-techniques","category-knowledge-management","tag-1477","tag-across-the-board-km-programs","tag-actkm","tag-general-km-programs","tag-km-impact","tag-km-interventions","tag-km-strategy","tag-monte-carlo-simulation","tag-stephen-bounds"],"_links":{"self":[{"href":"https:\/\/kmci.org\/alllifeisproblemsolving\/wp-json\/wp\/v2\/posts\/177","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kmci.org\/alllifeisproblemsolving\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kmci.org\/alllifeisproblemsolving\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kmci.org\/alllifeisproblemsolving\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kmci.org\/alllifeisproblemsolving\/wp-json\/wp\/v2\/comments?post=177"}],"version-history":[{"count":0,"href":"https:\/\/kmci.org\/alllifeisproblemsolving\/wp-json\/wp\/v2\/posts\/177\/revisions"}],"wp:attachment":[{"href":"https:\/\/kmci.org\/alllifeisproblemsolving\/wp-json\/wp\/v2\/media?parent=177"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kmci.org\/alllifeisproblemsolving\/wp-json\/wp\/v2\/categories?post=177"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kmci.org\/alllifeisproblemsolving\/wp-json\/wp\/v2\/tags?post=177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n