2019
DOI: 10.1007/978-3-030-01863-4_16
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Innovation and Crowdsourcing Contests

Abstract: In an innovation contest, an organizer seeks solutions to an innovation-related problem from a group of independent agents. Agents, who can be heterogeneous in their ability levels, exert efforts to improve their solutions, and their solution qualities are uncertain due to the innovation and evaluation processes. In this chapter, we present a general model framework that captures main features of a contest, and encompasses several existing models in the literature. Using this framework, we analyze two importan… Show more

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Cited by 20 publications
(13 citation statements)
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“…(We review the prior studies that are concerned with our research question, while referring readers to Ales et al. (2019) and Chen et al. (2020) for a comprehensive review of the literature on tournaments.…”
Section: Introductionmentioning
confidence: 99%
“…(We review the prior studies that are concerned with our research question, while referring readers to Ales et al. (2019) and Chen et al. (2020) for a comprehensive review of the literature on tournaments.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, in our setting, the contests resemble ideation contests, and evaluation of submissions is taste based and subjective (Ales et al. 2019, Jiang and Wang 2020). Thus, the submission quality may not be easily inferable during a contest.…”
Section: Prior Literaturementioning
confidence: 99%
“…Contestants who make their first submission early have greater opportunities to engage with the contest environment, thereby increasing the potential for receiving in‐process feedback from the contest holder and reducing uncertainties related to the requirements and tastes of the contest holder (Ales et al. 2019, Jian et al. 2019).…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…6. For a detailed review of this literature and other types of contests, we refer the reader to Ales et al (2017a). Our paper is broadly related to studies that consider heterogeneous solvers by suppressing uncertainty (e.g., Moldovanu and Sela 2001, Körpeoglu and Cho 2017, Stouras et al 2017, to studies that analyze other types of contests (e.g., dynamic contests by Bimpikis et al 2017), to empirical studies on crowdsourcing (e.g., Jiang et al 2016), and to theoretical studies on new product development (e.g., Mihm 2010, Lobel et al 2016.…”
Section: Appendix Proofsmentioning
confidence: 99%