Poster presented at the 2017 International Conference on Knowledge Management. This paper proposes that motivating factors of crowdsourcing are conceptually distinct, and that the distinction has differential effects on complexity of task chosen.
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Poster presented at the 2017 International Conference on Knowledge Management. This paper proposes that motivating factors of crowdsourcing are conceptually distinct, and that the distinction has differential effects on complexity of task chosen.
Physical Description
5 p.
Notes
Abstract: Research on crowdsourcing participation has identified payment, job-market signaling, competence development, and fostering social affiliation to be the key motivating factors. Thus far, participation remains as a black box and participating in simple crowdsourcing tasks are generally treated as interchangeable with participating in complex, knowledge-intensive tasks. Do participants motivated by different factors choose tasks of different complexity and knowledge requirements? This study proposes that the motivating factors are conceptually distinct based on achievement motivation and social motivation theories, and the distinction sheds light into their differential effects on the complexity of task chosen (with different knowledge and cognitive requirements). The findings can offer suggestions for motivating participants to take up more complex, knowledge-intensive tasks.
This paper is part of the following collection of related materials.
International Conference on Knowledge Management (ICKM)
Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).
