Erratum

This article refers to:

Crowdsourcing contests: understanding the effect of competitors’ participation history on their performance

Javadi Khasraghi, H. and Aghaie, A. (2014) Crowdsourcing contests: understanding the effect of competitors’ participation history on their performance, Behaviour & Information Technology. http://dx.doi.org/10.1080/0144929X.2014.883551

When the above article was first published online, Table 1 was printed with two errors. These have now been corrected as below. Taylor & Francis apologises for this error.

Table 1.  Factors influencing crowdsourcing performance.

	Effective factors
	Number of	Average quality
Groups	submissions	of submissions	Related works
Task-specific factors	Reward (positive)		Yang et al. (2008), DiPalantino and Vojnovic (2009), Walter and Back (2009), Yang et al. (2009), Archak (2010) and Liu and Chen (2012)
		Task type (positive)
	Task complexity (negative)
	Contest duration for the task (positive)
Individual-specific factors	Extrinsic factors/immediate pay-offs (positive)		Daugherty et al. 2005, Chiu et al. (2006), Nov et al. (2009), Archak (2010), Kaufmann et al. (2011) and Rogstadius et al. (2011)
		Extrinsic factors/delayed payoffs (positive)
	Extrinsic factors/social motivation (positive)
	Intrinsic factors (positive)
	Competitors’ experience in doing tasks
		Competitors’ rating (positive)
Environment-specific factors		Number of competitors (negative)	Boudreau and Lakhani (2011) and Boudreau et al. in preparation
		Number of superstars (negative)
		Number of non-superstars (negative)
Organisation-specific factors	Brand-strength		Walter and Back (2009)