Dynamic Quality Management for Cloud Labor Services | Methods and Applications for Gaining Reliable Work Results with an On-Demand Workforce

Robert Kern

ISBN 10: 331909775X / ISBN 13: 9783319097756

Published by Springer, 2014

About this Item

Dynamic Quality Management for Cloud Labor Services | Methods and Applications for Gaining Reliable Work Results with an On-Demand Workforce | Robert Kern | Taschenbuch | Lecture Notes in Business Information Processing | xvi | Englisch | 2014 | Springer | EAN 9783319097756 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105210366

Bibliographic Details

• Title: Dynamic Quality Management for Cloud Labor Services | Methods and Applications for Gaining Reliable Work Results with an On-Demand Workforce
• Publisher: Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 331909775X
• ISBN 13: 9783319097756
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 13D millimeters 235 millimeters width by 155 millimeters height by 13 millimeters depth
• Weight: 359 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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. Reading this book will be beneficial to novices in cloud labor services looking for orientation in this new field as well as to advanced researchers and practitioners developing cloud quality concepts.