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Dynamic Quality Management for Cloud Labor Services

Methods and Applications for Gaining Reliable Work Results with an On-Demand Workforce

  • Robert Kern

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

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Robert Kern
      Pages 3-7
  3. Fundamentals of Cloud Labor Services

    1. Front Matter
      Pages 9-9
    2. Robert Kern
      Pages 11-50
  4. Dynamic Quality Management for Cloud Labor Services

    1. Front Matter
      Pages 77-77
    2. Robert Kern
      Pages 79-92
    3. Robert Kern
      Pages 93-112
    4. Robert Kern
      Pages 113-132
  5. Evaluation and Case Studies

    1. Front Matter
      Pages 133-133
    2. Robert Kern
      Pages 135-139
    3. Robert Kern
      Pages 141-163
    4. Robert Kern
      Pages 165-183
  6. Conclusion

    1. Front Matter
      Pages 185-185
    2. Robert Kern
      Pages 187-192
  7. Back Matter
    Pages 193-215

About this book

Introduction

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.

Keywords

crowd labor services crowdsourcing quality control quality management reliability

Authors and affiliations

  • Robert Kern
    • 1
  1. 1.Karlsruhe Service Research InstituteKarlsruhe Institute of TechnologyKarlsruheGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09776-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-09775-6
  • Online ISBN 978-3-319-09776-3
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site