DocumentCode
695434
Title
Peer-recognition and Performance in Online Crowdsourcing Communities
Author
Dissanayake, Indika ; Jie Zhang ; Feirong Yuan ; Jingguo Wang
fYear
2015
fDate
5-8 Jan. 2015
Firstpage
4262
Lastpage
4265
Abstract
Recent advances in information technology bring significant changes to the nature of social interactions and information exchange. Physical face-to-face communications are slowly replaced by online virtual communities. Motivated by this phenomenon, this research investigates how voluntary community involvement and self-disclosure behavior impact a member´s peer-recognition and task performance within a virtual crowd sourcing competition community. We collected secondary data from the discussion forums of a specialized crowd sourcing platform that focuses on data analytics projects. Our results reveal that a member´s community involvement improves both the peer-recognition of the member in the community and his/her performance ranking. Our findings have strategic implications to participants of virtual crowd sourcing communities and other professional online communities.
Keywords
data analysis; social networking (online); data analytics projects; information exchange; information technology; online crowdsourcing communities; online virtual communities; peer-recognition; performance ranking; physical face-to-face communications; self-disclosure behavior; social interactions; strategic implications; task performance; virtual crowdsourcing competition community; voluntary community involvement; Communities; Context; Crowdsourcing; Data analysis; Discussion forums; Education; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location
Kauai, HI
ISSN
1530-1605
Type
conf
DOI
10.1109/HICSS.2015.646
Filename
7070330
Link To Document