Proceedings of the 4th International Conference on Crowd Science and Engineering 2019
DOI: 10.1145/3371238.3371268
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Factors influencing the crowd participation in knowledge-intensive crowdsourcing

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Cited by 4 publications
(3 citation statements)
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“…12 See, for example, Oxera (2015) and Nadaulda et al (2019). Regarding feedback feature of crowdsourcing see a review by Zhang et al (2019). See Turulja and Bajgorić (2018) on the links between knowledge acquisition and innovation.…”
mentioning
confidence: 99%
“…12 See, for example, Oxera (2015) and Nadaulda et al (2019). Regarding feedback feature of crowdsourcing see a review by Zhang et al (2019). See Turulja and Bajgorić (2018) on the links between knowledge acquisition and innovation.…”
mentioning
confidence: 99%
“…The attractiveness is important to attract more workers and influences how fast the task is completed. However, it has been shown that it has no influence on the quality of results [11,49,74]. The task setup includes the task title, keywords, the payment, filters for worker qualifications, the number of assignments and the duration of the task.…”
Section: Crowdsourcingmentioning
confidence: 99%
“…• R5 Attractiveness of Task Design and Setup: Workers freely choose which tasks they want to work on. Tasks with a low attractiveness due to a low payment or other factors are consequently not or only slowly processed by workers [11,49,74]. Therefore, the task setup shall have an attractive design, including title, payment and task complexity.…”
Section: System Requirementsmentioning
confidence: 99%