TY - GEN
T1 - Comparing strategies for winning expert-rated and crowd-rated crowdsourcing contests
T2 - 18th Americas Conference on Information Systems 2012, AMCIS 2012
AU - Chen, Liang
AU - Liu, De
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Many studies have been done on expert-rated crowdsourcing contests but few have examined crowd-rated contests in which winners are determined by the voting of the crowd. Due to the different rating mechanisms, determinants for winning may be different under two types of contests. Based on previous studies, we identify three types of winning determinants: expertise, submission timing, and social capital. Our initial investigation, based on 91 entries of two contests in Zooppa, supports that those variables play different roles in winning crowd-rated contests than in winning expert-rated contests. Specifically, past winning experience in crowd-rated contests predicts future success in crowd-rated contests, while past winning experience in expert-rated contests predicts future success in expert-rated contests. We discover a U-shaped relationship between the submission time and winning in both types of contests. Social capital elevates the probability of winning a crowd-rated contest only if the social capital is sufficiently high.
AB - Many studies have been done on expert-rated crowdsourcing contests but few have examined crowd-rated contests in which winners are determined by the voting of the crowd. Due to the different rating mechanisms, determinants for winning may be different under two types of contests. Based on previous studies, we identify three types of winning determinants: expertise, submission timing, and social capital. Our initial investigation, based on 91 entries of two contests in Zooppa, supports that those variables play different roles in winning crowd-rated contests than in winning expert-rated contests. Specifically, past winning experience in crowd-rated contests predicts future success in crowd-rated contests, while past winning experience in expert-rated contests predicts future success in expert-rated contests. We discover a U-shaped relationship between the submission time and winning in both types of contests. Social capital elevates the probability of winning a crowd-rated contest only if the social capital is sufficiently high.
KW - Crowdsourcing
KW - Crowdsourcing contest
KW - Open innovation
KW - Prize design
KW - Social capital
KW - Winning determinant
UR - http://www.scopus.com/inward/record.url?scp=84877900586&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877900586&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84877900586
SN - 9781622768271
T3 - 18th Americas Conference on Information Systems 2012, AMCIS 2012
SP - 97
EP - 107
BT - 18th Americas Conference on Information Systems 2012, AMCIS 2012
Y2 - 9 August 2012 through 12 August 2012
ER -
