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PublicationRate or Trade? Identifying Winning Ideas in Open Idea SourcingInformation technology (IT) has created new patterns of digitally-mediated collaboration that allow open sourcing of ideas for new products and services. These novel sociotechnical arrangements afford finely-grained manipulation of how tasks can be represented and have changed the way organizations ideate. In this paper, we investigate differences in behavioral decision-making resulting from IT-based support of open idea evaluation. We report results from a randomized experiment of 120 participants comparing IT-based decision-making support using a rating scale (representing a judgment task) and a preference market (representing a choice task). We find that the rating scale-based task invokes significantly higher perceived ease of use than the preference market-based task and that perceived ease of use mediates the effect of the task representation treatment on the users’ decision quality. Furthermore, we find that the understandability of ideas being evaluated, which we assess through the ideas’ readability, and the perception of the task’s variability moderate the strength of this mediation effect, which becomes stronger with increasing perceived task variability and decreasing understandability of the ideas. We contribute to the literature by explaining how perceptual differences of task representations for open idea evaluation affect the decision quality of users and translate into differences in mechanism accuracy. These results enhance our understanding of how crowdsourcing as a novel mode of value creation may effectively complement traditional work structures.Type:Journal:Volume:Issue:
Scopus© Citations 78 -
PublicationRags to Riches - How signaling behaviour causes a power shift in crowdsourcing marketsCrowdsourcing has emerged as new form of digital work organization. This novel socio-technical ar-rangement changes the organization of work as well as its general nature. In this paper, we focus on the crowdworkers – a perspective that has been largely neglected by crowdsourcing research. We re-port results from crowdworker-interviews on two different platforms. Our research shows that quality signals of crowdworkers increase the bargaining power towards their principals, i.e. the crowdsourcers. As a result, the crowdworkers can reach a turning point of critical bargaining power at which the distribution of power shifts in their favor. We contribute to the literature by unraveling signaling behavior as mechanism influencing bargaining power and thus success in crowdsourcing. Beyond, we develop a theoretical model that indicates a shift in bargaining power over time and im-proves our understanding of crowdsourcing as novel way of organizing digital work. For practice, our results provide guidelines for crowdworkers how to improve their position in bargaining in relation to the crowdsourcer.
