Karl R. Rabes explores the performance impact of differing task
designs in crowdsourcing, especially micro-task markets. Based on
several exploratory literature reviews, the manuscript applies the
task-technology fit theory and numerous quasi-experiments to show
which tasks can be successfully outsourced to the crowd. It is
revealed how a tasks design has an influence on solution quality
taking into account respective task-, technology- and individual
characteristics, and clearly delineates the differences in
objective quality and subjective fit evaluations within and between
task designs for micro-task markets.
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