Show simple item record

AuthorHuang, Yongjun
AuthorNazir, Shah
AuthorWu, Jiyu
AuthorHussain Khoso, Fida
AuthorAli, Farhad
AuthorKhan, Habib Ullah
Available date2022-12-27T10:14:23Z
Publication Date2021-06-10
Publication NameComplexity
Identifierhttp://dx.doi.org/10.1155/2021/5518878
CitationHuang, Y., Nazir, S., Wu, J., Hussain Khoso, F., Ali, F., & Khan, H. U. (2021). An efficient decision support system for the selection of appropriate crowd in crowdsourcing. Complexity, 2021.
ISSN1076-2787
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85108619703&origin=inward
URIhttp://hdl.handle.net/10576/37659
AbstractCrowdsourcing is a complex task-solving model that utilizes humans for solving organizational specific problems. For assigning a crowdsourced task to an online crowd, crowd selection is carried out to select appropriate crowd for achieving the task. The efficiency and effectiveness of crowdsourcing may fail if irrelevant crowd is selected for performing a task. Early decisions regarding selection of a crowd can ultimately lead to successful completion of tasks. To select most appropriate crowd from crowdsourcing, this paper presents a decision support system (DSS) for appropriate selection of crowd. The system has been implemented in the Superdecision tool by plotting hierarchy of goals, criteria, and alternatives. Various calculations have been done for performing the proposed research. Results of the study reveal that the proposed system is effective and efficient for selection of crowd in crowdsourcing by performing various pairwise computation of the study.
Languageen
PublisherHindawi
SubjectCrowdsourcing
Decision support system
pairwise computation
TitleAn Efficient Decision Support System for the Selection of Appropriate Crowd in Crowdsourcing
TypeArticle
Volume Number2021
ESSN1099-0526
dc.accessType Open Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record