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Dynamic Quality Management for Cloud Labor Services

Kern, Robert

Cloud labor services extend the cloud computing paradigm by providing human workforce as a scalable resource over the Internet. The approach can help labor-intensive industries to react more flexibly to varying demands but at the same time introduces severe challenges regarding quality management. This thesis addresses the challenges by using a combination of statistical quality control and newly developed dynamic voting mechanisms. Several case studies illustrate the benefits of the approach.

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Volltext §
DOI: 10.5445/IR/1000040010
Cover der Publikation
Zugehörige Institution(en) am KIT Karlsruhe Service Research Institute (KSRI)
Publikationstyp Hochschulschrift
Publikationsjahr 2013
Sprache Englisch
Identifikator urn:nbn:de:swb:90-400100
KITopen-ID: 1000040010
Verlag KIT, Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Wirtschaftswissenschaften (WIWI)
Institut Karlsruhe Service Research Institute (KSRI)
Prüfungsdaten 20.12.2013
Referent/Betreuer Prof. G. Satzger
Schlagwörter Crowdsourcing, Human Computation, Statistical Quality Control, Cloud Computing
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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