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Evaluation of Model Variations

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Dynamic Quality Management for Cloud Labor Services

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 192))

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Abstract

The model variations developed in Chap. 6 have been evaluated in two separate case studies. While the DVM for multi-labeling was applied to a medical coding business scenario, the model extension for non-deterministic tasks was applied to a product research scenario. In order to investigate the managerial implications of the models from the different perspectives of the basic cloud labor scenario, industry partners from all three sides have been included: A requester, a cloud labor platform and a workforce provider. Section 9.1 covers the medical coding case study while Sect. 9.2 addresses the product research scenario.

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Notes

  1. 1.

    http://www.buw.de/en/startseite.html

  2. 2.

    http://www.semfinder.com/en/home.html

  3. 3.

    http://www-935.ibm.com/services/de/gbs/consulting/, last accessed on April 2, 2013 (German).

  4. 4.

    http://www.semfinder.com/en

  5. 5.

    http://www.lumrix.de/

  6. 6.

    Preliminary experiments have been conducted that indicate that a comparable worker performance can be achieved on the MTurk platform. However, it had been challenging to find enough German speaking participants who are willing to work on the diagnosis scenario. Even after increasing the payment drastically, only about a dozen workers contributed to the experiment.

  7. 7.

    http://www.bitworxx.com/

  8. 8.

    The term EAN is still commonly used and has therefore been used for the case study as well.

  9. 9.

    http://www.inline-info.de/index.php?lang=en, last accessed on November 1, 2013.

  10. 10.

    That results in \(7\cdot 5=35\) individual votes.

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Authors and Affiliations

  1. Karlsruhe Service Research Institute, Karlsruhe Institute of Technology, Karlsruhe, Germany

    Robert Kern

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  1. Robert Kern
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Correspondence to Robert Kern .

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© 2014 Springer International Publishing Switzerland

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Kern, R. (2014). Evaluation of Model Variations. 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_9

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  • DOI: https://doi.org/10.1007/978-3-319-09776-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09775-6

  • Online ISBN: 978-3-319-09776-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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