Crowdsourcing has recently emerged as a new platform for matching the demand and supply between professionals and businesses who seek external expertise for business task execution. Driven by the unique features of the two-sided crowdsourcing markets (such as auction-style competition on quality by professionals), this study seeks to examine how the dynamics of the two-sided crowdsourcing platform affect customers' and professionals' strategic behaviors and market outcomes. Using longitudinal transaction data from a crowdsourcing websites, we plan to empirically examine how the participation of professionals and customers, task reward and task completion rate are affected by the characteristics of the professionals such as distribution of the winning professionals and their reputation. The results of our study are expected to contribute to the growing literature on crowdsourcing and provide important insights on the design and assessment of the sustainability and profitability of the crowdsourcing business model.
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