Strategically reward solvers in crowdsourcing contests: the role of seeker feedback

被引：3
|
作者：
Wang, Meng-Meng [1 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Sch Business, 219 Ningliu Rd, Nanjing, Peoples R China
来源：
BEHAVIOUR & INFORMATION TECHNOLOGY | 2022年 / 41卷 / 14期
基金：
中国国家自然科学基金;
关键词：
Crowdsourcing contest; contest reward; seeker feedback; uncertainty reduction theory; curvilinear relationship; INNOVATION CONTESTS; INTRINSIC MOTIVATION; PARTICIPATION; ANTECEDENTS; COMMUNITIES; UNCERTAINTY; INCENTIVES; DISCLOSURE; SUCCESS; BENEFIT;
D O I：
10.1080/0144929X.2021.1973105
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the context of crowdsourcing contest through which seekers attempt to obtain creative solutions by tapping into the wisdom of crowds with a competition-based reward system, this study investigates the submission behaviour of solvers by exploring the role of contest reward and two kinds of seeker feedback. Due to the associated competition uncertainties, this study supposes that contest reward encourages submission behaviour only to a certain degree, and seeker feedback - a communication channel - is positively associated with solvers' submission behaviour. Drawing on the uncertainty reduction theory, the core contribution of this study points to a complementary relationship, in that rating feedback can mitigate the uncertainties that prevent solvers from actively submitting solutions encouraged by a high level of contest reward. An analysis of 1064 crowdsourcing contests supports the theoretical model and hypotheses.
引用
收藏
页码：3124 / 3137
页数：14
相关论文
共 33 条
1234