Hanging with the right crowd: Matching crowdsourcing need to crowd characteristics

Lee B. Erickson, Irene Petrick, Eileen M. Trauth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

32 Scopus citations

Abstract

"Crowdsourcing" is the use of large groups of individuals to perform tasks commonly performed by employees or designated agents. Many organizations are attempting to tap into the crowd's productivity and knowledge, however, we know little about the strategic use of the crowd to meet specific organizational needs. Based on a review of literature, interviews with practitioners, and exploratory case studies, a framework matching organizational need to key characteristics of the crowd is presented. The theoretical contribution of this study is the development of a framework from which researchers can begin to further define key uses and characteristics associated with the phenomenon of crowdsourcing. Its contribution to practice is the development of preliminary guidelines for matching the right crowd to the right job.

Original languageEnglish (US)
Title of host publication18th Americas Conference on Information Systems 2012, AMCIS 2012
Pages77-85
Number of pages9
StatePublished - Dec 1 2012
Event18th Americas Conference on Information Systems 2012, AMCIS 2012 - Seattle, WA, United States
Duration: Aug 9 2012Aug 12 2012

Publication series

Name18th Americas Conference on Information Systems 2012, AMCIS 2012
Volume1

Other

Other18th Americas Conference on Information Systems 2012, AMCIS 2012
CountryUnited States
CitySeattle, WA
Period8/9/128/12/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Library and Information Sciences

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    Erickson, L. B., Petrick, I., & Trauth, E. M. (2012). Hanging with the right crowd: Matching crowdsourcing need to crowd characteristics. In 18th Americas Conference on Information Systems 2012, AMCIS 2012 (pp. 77-85). (18th Americas Conference on Information Systems 2012, AMCIS 2012; Vol. 1).