Dynamic Quality Management for Cloud Labor Services: Methods and Applications for Gaining Reliable Work Results with an On-Demand Workforce
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- Дата: 17-10-2018, 12:10
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Автор: Robert Kern
Название: Dynamic Quality Management for Cloud Labor Services: Methods and Applications for Gaining Reliable Work Results with an On-Demand Workforce
Издательство: Springer
Год: 2014
ISBN: 978-3319097756
Серия: Lecture Notes in Business Information Processing (Book 192)
Язык: English
Формат: pdf
Размер: 13,1 mb
Страниц: 215
How can a scalable and efficient quality management mechanism for cloud labor services be designed in a way that it delivers results with a well-defined level of quality to the requester?
Cloud labor services are a specific form of crowdsourcing: A coordination platform serves as an interface between requesters who need to get work done and a large crowd of workers who want to perform work. An early example of such a platform is Amazon’s Web marketplace Mturk, on which service requesters can publish open calls for so-called human intelligence tasks (HITs).
Robert Kern’s work makes a considerable contribution toward solving the quality problem for scalable human work. On the basis of a comprehensive framework of cloud labor, he develops a set of methods to conceptually measure and aggregate the quality of human work results, implements a platform to put those methods to work, and evaluates their application in a number of very compelling, real-world scenarios successfully combining concepts from statistics, information technology, and management.
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