Exploring the effects of reward and competition intensity on participation in crowdsourcing contests

Exploring the effects of reward and competition intensity on participation in crowdsourcing contests With the growth of web 2.0 technology, crowdsourcing contests now offer task-seekers an opportunity to access expertise and resources at a lower cost. Many studies have investigated the effects of influencing factors on solvers’ participation behaviors. However, there has been scant research on the effect of competition intensity and on the relationships between competition and reward. We collect data from the Taskcn website in China to build a two-equation model based on expectation-value theory to explore the effects of task reward and competition intensity on solvers’ registration and submission behaviors. The research results verify that task reward is positively associated with the number of registrations and submissions, and competition intensity is negatively associated with solvers’ submissions. In addition, the empirical results show that competition intensity moderates the relationship between task reward and submissions. These findings provide valuable contributions to the literature on crowdsourcing contests. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electronic Markets Springer Journals

Exploring the effects of reward and competition intensity on participation in crowdsourcing contests

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Institute of Applied Informatics at University of Leipzig
Subject
Business and Management; IT in Business; e-Commerce/e-business
ISSN
1019-6781
eISSN
1422-8890
D.O.I.
10.1007/s12525-017-0252-7
Publisher site
See Article on Publisher Site

Abstract

With the growth of web 2.0 technology, crowdsourcing contests now offer task-seekers an opportunity to access expertise and resources at a lower cost. Many studies have investigated the effects of influencing factors on solvers’ participation behaviors. However, there has been scant research on the effect of competition intensity and on the relationships between competition and reward. We collect data from the Taskcn website in China to build a two-equation model based on expectation-value theory to explore the effects of task reward and competition intensity on solvers’ registration and submission behaviors. The research results verify that task reward is positively associated with the number of registrations and submissions, and competition intensity is negatively associated with solvers’ submissions. In addition, the empirical results show that competition intensity moderates the relationship between task reward and submissions. These findings provide valuable contributions to the literature on crowdsourcing contests.

Journal

Electronic MarketsSpringer Journals

Published: Mar 16, 2017

References

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