Abstract
According to a 2012 analyst report on cloud labor platforms, the quality of the work results represents a “key disruptive opportunity that crowd labor platforms can exploit and improve” (Turian 2012). This chapter provides a comprehensive overview of the state-of-the-art of quality management for cloud labor services and provides a gap analysis with regard to the objectives of the book.
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Notes
- 1.
https://kb.odesk.com/categories/Clients/Managing+My+Team/Work+Diary/, last accessed on 2013-01-07.
- 2.
http://quikturkit.googlecode.com/, last accessed 2013-05-01.
- 3.
This term is sometimes used in the context of cloud labor services, e.g. by Sorokin and Forsyth (2008).
- 4.
http://castingwords.com/, last accessed on October 11, 2013.
- 5.
Note that the authors have used the name TurKit for both the specific implementation of this iteration pattern as well as for the generic workflow environment described in Sect. 2.4.3.
- 6.
Refer to Sect. 2.2.1.
- 7.
- 8.
The abbreviation stands for the combination of continuous sampling plan (CSP) and dynamic voting mechanism (DVM).
- 9.
Because TurKit uses a variable number of voters for the ballot tasks (either 2 or 3).
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© 2014 Springer International Publishing Switzerland
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Kern, R. (2014). Quality Management for Cloud Labor Services. In: Dynamic Quality Management for Cloud Labor Services. Lecture Notes in Business Information Processing, vol 192. Springer, Cham. https://doi.org/10.1007/978-3-319-09776-3_3
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DOI: https://doi.org/10.1007/978-3-319-09776-3_3
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