Facilitating like Darwin: Supporting cross-fertilisation in crowdsourcing
作者: Henner GimpelValerie Graf-DraschRobert J. LaubacherMoritz Wöhl
作者单位: 1FIM Research Center, University of Augsburg, Germany
2Project Group Business & Information Systems Engineering of the Fraunhofer FIT, Germany
3Center for Collective Intelligence, Massachusetts Institute of Technology (MIT), United States of America
刊名: Decision Support Systems, 2020, Vol.132
来源数据库: Elsevier Journal
DOI: 10.1016/j.dss.2020.113282
关键词: Cross-fertilisationCrowdsolvingFacilitationCollective intelligenceDesign science
英文摘要: Abstract(#br)Humankind faces many “wicked” decision-making problems, which must be solved. One promising approach refers to crowdsourcing systems that hold the potential to solve any kind of problem – notably wicked ones. Crowdsourced solutions work well because crowds exchange knowledge from different domains – a concept known as “cross-fertilisation.” Thereby, the “facilitator” of a crowdsourcing system is the primary decision maker when it comes to specifying and managing the crowd. The facilitator's role includes actively managing cross-fertilisation. However, in the light of technological advancements and large-scale data, facilitation proves difficult – especially in one particular type of crowdsourcing – crowdsolving. Thus, academia recently called for relieving some burden of...
全文获取路径: Elsevier  (合作)
影响因子:2.201 (2012)

  • 十字 科学
  • fertilisation 受精
  • intelligence 智能
  • science 科学
  • cross 科学