個案資料
了解個案內容與學習目標，選擇授課教師及使用課程。
Rethinking Crowdsourcing
內容大綱
As crowdsourcing evolves, new research finds a pitfall companies should be alert to: Consumer voting on the ideas submitted on open innovation platforms is often skewed by social bias, or people's tendency to like and vote for ideas whose progenitors have liked and voted for their own. A study of 87 crowdsourced projects suggests that when evaluating the ideas that are generated through open innovation, companies should rely less on consumer preference and more on their own evaluative criteria. And the right answer may come from tapping a small number of the right people--ones whose specialized expertise makes their views more relevant--rather than from polling a crowd of random idea generators.