{"id":1295,"date":"2011-08-30T00:53:09","date_gmt":"2011-08-30T04:53:09","guid":{"rendered":"http:\/\/www.decisionsciencenews.com\/?p=1295"},"modified":"2011-09-06T16:56:39","modified_gmt":"2011-09-06T20:56:39","slug":"the-effectiveness-of-simple-decision-heuristics-forecasting-commercial-success-for-early-stage-ventures","status":"publish","type":"post","link":"https:\/\/www.decisionsciencenews.com\/?p=1295","title":{"rendered":"The Effectiveness of Simple Decision Heuristics: Forecasting Commercial Success for Early-Stage Ventures"},"content":{"rendered":"<p>PREDICTING INVENTIONS&#8217; SUCCESS WITH SIMPLE RULES<\/p>\n<p style=\"text-align: center;\"><a href=\"http:\/\/www.decisionsciencenews.com\/wp-content\/uploads\/2011\/08\/pb.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-2702\" title=\"pb\" src=\"http:\/\/www.decisionsciencenews.com\/wp-content\/uploads\/2011\/08\/pb.jpg\" alt=\"\" width=\"398\" height=\"375\" \/><\/a><\/p>\n<p>Most inventions fail to be commercialized profitably. Wouldn&#8217;t it be nice to be able to predict which ones will? <a href=\"http:\/\/mansci.journal.informs.org\/content\/52\/3\/395.abstract\">This paper<\/a>, by Astebro and Elhedhli argues that a simple rule can do quite well making forecasts in a difficult real-world setting.<\/p>\n<p>CITATION<br \/>\n\u00c5stebro, T. and Elhedhli, S. (2006). The Effectiveness of Simple Decision Heuristics: Forecasting Commercial Success for Early-Stage Ventures. Management Science, 52(3), 395-409.<\/p>\n<p>ABSTRACT<br \/>\nWe investigate the decision heuristics used by experts to forecast that early-stage ventures are subsequently commercialized. Experts evaluate 37 project characteristics and subjectively combine data on all cues by examining both critical flaws and positive factors to arrive at a forecast. A conjunctive model is used to describe their process, which sums \u201cgood\u201d and \u201cbad\u201d cue counts separately. This model achieves a 91.8% forecasting accuracy of the experts\u2019 correct forecasts. The model correctly predicts 86.0% of outcomes in out-of-sample, out-of-time tests. Results indicate that reasonably simple decision heuristics can perform well in a natural and very difficult decision-making context.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Most inventions fail to be commercialized profitably. Wouldn&#8217;t it be nice to be able to predict which ones will? This paper, by Astebro and Elhedhli argues that a simple rule can do quite well making forecasts in a difficult real-world setting.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[5,2],"tags":[52,20,183,23,22,248,31,79,249],"class_list":["post-1295","post","type-post","status-publish","format-standard","hentry","category-articles","category-research-news","tag-decision","tag-decision-making","tag-finance","tag-forecasting","tag-heuristics","tag-investing","tag-prediction","tag-rules-of-thumb","tag-simple-heuristics"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p4LKj-kT","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts\/1295","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1295"}],"version-history":[{"count":7,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts\/1295\/revisions"}],"predecessor-version":[{"id":2724,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts\/1295\/revisions\/2724"}],"wp:attachment":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1295"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1295"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1295"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}