摘要
文章基于阶段门理论,分别从稀缺性、功能性和表达性的视角,设计了创意的计算机筛选方法。筛选流程划分为资格淘汰和综合排序两个阶段,其中,资格淘汰阶段又细分为表达性淘汰、功能性淘汰和稀缺性淘汰三个阶段,综合排序阶段则是通过稀缺性、功能性和表达性的加权得分来选出最优创意。所设计的计算机算法,可以极大地提高创意筛选的速度和效率,尤其适用于众包情形下网民海量创意的快速筛选,对于众包模式的实施具有重要的支撑作用。
A computerised method for the selection of creative ideas is designed from the view of scarcity, functionality and expressivity based on the stage-gate theory, and the screening process is divided into qualification knockout stage and comprehen- sive sequencing stage. The qualification knockout stage is subdivided into expressivity elimination stage, functionality elimination stage and scarcity elimination stage, and the best idea is selected with regarding the weighted value of scarcity, functionality and expressivity in the comprehensive sequencing stage. The computerised algorithm, especially suitable for the rapid selection of mass creative ideas coming from the netizens in the age of crowdsourcing, could greatly enhance the speed and efficiency of the creative idea selection, and support the implementation of crowdsourcing at root.
出处
《统计与决策》
CSSCI
北大核心
2017年第1期67-71,共5页
Statistics & Decision
基金
国家社会科学基金资助项目(12BGL017)
重庆市研究生教育教学改革研究项目(yjg20163071)
关键词
创意
筛选
算法
Creative idea
Selection
Algorithm
