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

被引:0
|
作者
Erickson, Lee B. [1 ]
Petrick, Irene [1 ]
Trauth, Eileen M. [1 ]
机构
[1] Penn State Univ, Coll Informat Sci & Technol, University Pk, PA 16802 USA
来源
关键词
crowdsourcing; framework; distributed knowledge; diversity; innovation; knowledge capture; marketing; productivity; INNOVATION CONTESTS; USERS; COMMUNITIES; DESIGN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] A Review on the Methods to Evaluate Crowd Contributions in Crowdsourcing Applications
    Aris, Hazleen
    Azizan, Aqilah
    EMERGING TRENDS IN INTELLIGENT COMPUTING AND INFORMATICS: DATA SCIENCE, INTELLIGENT INFORMATION SYSTEMS AND SMART COMPUTING, 2020, 1073 : 1031 - 1041
  • [42] Using crowdsourcing for a safer society: When the crowd rules
    Estelles-Arolas, Enrique
    EUROPEAN JOURNAL OF CRIMINOLOGY, 2022, 19 (04) : 692 - 711
  • [43] Learning from the Crowd: Observational Learning in Crowdsourcing Communities
    Mamykina, Lena
    Smyth, Thomas N.
    Dimond, Jill P.
    Gajos, Krzysztof Z.
    34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016, 2016, : 2635 - 2644
  • [44] Crowd Size and Crowdsourcing Performances in Online Ideation Contests
    Bettiga, Debora
    Lamberti, Lucio
    2019 16TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT (ICSSSM2019), 2019,
  • [45] Sprout: Crowd-Powered Task Design for Crowdsourcing
    Bragg, Jonathan
    Mausam
    Weld, Daniel S.
    UIST 2018: PROCEEDINGS OF THE 31ST ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, 2018, : 165 - 176
  • [46] MOVING THE CROWD AT THREADLESS Motivations for participation in a crowdsourcing application
    Brabham, Daren C.
    INFORMATION COMMUNICATION & SOCIETY, 2010, 13 (08) : 1122 - 1145
  • [47] Direct Measure Matching for Crowd Counting
    Lin, Hui
    Hong, Xiaopeng
    Ma, Zhiheng
    Wei, Xing
    Qiu, Yunfeng
    Wang, Yaowei
    Gong, Yihong
    PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021, 2021, : 837 - 844
  • [48] Crowd characteristics and crowd wisdom: Evidence from an online investment community
    Hong, Hong
    Ye, Qiang
    Du, Qianzhou
    Wang, G. Alan
    Fan, Weiguo
    JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2020, 71 (04) : 423 - 435
  • [49] The wisdom of the crowd playing The Price Is Right
    Michael D. Lee
    Shunan Zhang
    Jenny Shi
    Memory & Cognition, 2011, 39 : 914 - 923
  • [50] The wisdom of the crowd playing The Price Is Right
    Lee, Michael D.
    Zhang, Shunan
    Shi, Jenny
    MEMORY & COGNITION, 2011, 39 (05) : 914 - 923