{"id":48895,"date":"2015-03-17T22:00:14","date_gmt":"2015-03-17T22:00:14","guid":{"rendered":"http:\/\/127.0.0.1\/site\/2017\/2\/1985\/wsj_the_algorithm_that_tells_the_boss_who_might_quit\/"},"modified":"2015-03-17T22:00:14","modified_gmt":"2015-03-17T22:00:14","slug":"wsj_the_algorithm_that_tells_the_boss_who_might_quit","status":"publish","type":"post","link":"https:\/\/kendallharmon.net\/?p=48895","title":{"rendered":"(WSJ) The Algorithm That Tells the Boss Who Might Quit"},"content":{"rendered":"<p>Employers want to know who has one foot out the door.<\/p>\n<p>As turnover becomes a bigger worry\u201d\u201dand expense\u201d\u201din a tightening labor market, companies including Wal-Mart Stores Inc.,Credit Suisse Group AG and Box Inc. are analyzing a vast array of data points to determine who is likely to leave a post.<\/p>\n<p>The idea, say people who run analytics teams, is to give managers early warning so they can take action before employees jump ship.<\/p>\n<p>Corporate data crunchers play with dozens of factors, which may include job tenure, geography, performance reviews, employee surveys, communication patterns and even personality tests to identify flight risks, a term human-resources departments sometimes use for people likely to leave.<\/p>\n<p>The data often reveal a complex picture of what motivates workers to stay\u201d\u201dand what causes them to look elsewhere.<\/p>\n<p><a href=\"http:\/\/www.wsj.com\/articles\/the-algorithm-that-tells-the-boss-who-might-quit-1426287935\">Read it all<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Employers want to know who has one foot out the door. As turnover becomes a bigger worry\u201d\u201dand expense\u201d\u201din a tightening labor market, companies including Wal-Mart Stores Inc.,Credit Suisse Group AG and Box Inc. are analyzing a vast array of data<span class=\"ellipsis\">&hellip;<\/span><\/p>\n<div class=\"read-more\"><a href=\"https:\/\/kendallharmon.net\/?p=48895\">Read more &#8250;<\/a><\/div>\n<p><!-- end of .read-more --><\/p>\n","protected":false},"author":794,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[39,40,589,149,597,95],"tags":[],"class_list":["post-48895","post","type-post","status-publish","format-standard","hentry","category-culture-watch","category-economics-politics","category-corporationscorporate-life","category-economy","category-laborlabor-unionslabor-market","category-science-technology"],"_links":{"self":[{"href":"https:\/\/kendallharmon.net\/index.php?rest_route=\/wp\/v2\/posts\/48895","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kendallharmon.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kendallharmon.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kendallharmon.net\/index.php?rest_route=\/wp\/v2\/users\/794"}],"replies":[{"embeddable":true,"href":"https:\/\/kendallharmon.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=48895"}],"version-history":[{"count":0,"href":"https:\/\/kendallharmon.net\/index.php?rest_route=\/wp\/v2\/posts\/48895\/revisions"}],"wp:attachment":[{"href":"https:\/\/kendallharmon.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=48895"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kendallharmon.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=48895"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kendallharmon.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=48895"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}