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Dynamic Quality Management for Cloud Labor Services : Methods and Applications for Gaining Reliable Work Results with an On-Demand Workforce / by Robert Kern.
- Format:
- Book
- Author/Creator:
- Kern, Robert, author.
- Series:
- Computer Science (Springer-11645)
- Lecture notes in business information processing 1865-1348 ; 192.
- Lecture Notes in Business Information Processing, 1865-1348 ; 192
- Language:
- English
- Subjects (All):
- Organization.
- Planning.
- Quality control.
- Reliability.
- Industrial safety.
- Application software.
- Mathematical statistics.
- Quality Control, Reliability, Safety and Risk.
- Information Systems Applications (incl. Internet).
- Probability and Statistics in Computer Science.
- Local Subjects:
- Organization.
- Quality Control, Reliability, Safety and Risk.
- Information Systems Applications (incl. Internet).
- Probability and Statistics in Computer Science.
- Physical Description:
- 1 online resource (XVI, 215 pages) : 49 illustrations.
- Edition:
- First edition 2014.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2014.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Part I Introduction
- 1 Introduction
- Part II Fundamentals of Cloud Labor Services
- 2 Cloud Labor Services
- 3 Quality Management for Cloud Labor Services
- Part III Dynamic Quality Management for Cloud Labor Services
- 4 Statistical Quality Control
- 5 Core Model
- 6 Model Variations
- Part IV Evaluation and Case Studies
- 7 Toolkit Development
- 8 Evaluation of Core Model
- 9 Evaluation of Model Variations
- Part V Conclusion
- 10 Conclusion.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-09776-3
- 9783319097763
- Access Restriction:
- Restricted for use by site license.
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