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Dynamic Decision Support for Electronic Requirements Negotiations

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  • © 2020

Overview

  • Efficient preference adjustment to enable dynamic support
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Table of contents (7 chapters)

Keywords

About this book

Annika Lenz develops an interactive preference measurement method, which provides dynamic preference adjustment, to assess alternatives in terms of utility for an individual decision maker throughout the requirements negotiation process. Consequently, interactive dynamic decision support is designed, which can handle changes related to requirements dynamically. An empirical study shows that the newly developed method is both objectively and subjectively more efficient than a static alternative. Thus, it is argued that efficient preference adjustment enables decision support based on up-to-date preferences. The designed support component is compared to two state-of-the-art approaches for decision support in requirements negotiations.

Authors and Affiliations

  • Information Systems Department 1, University of Hohenheim, Stuttgart-Hohenheim, Germany

    Annika Lenz

About the author

Annika Lenz was a research assistant at the Information Systems Department 1 – Organisational Communication at the University of Hohenheim, Germany, and is currently working in the field of digital transformation.

Bibliographic Information

  • Book Title: Dynamic Decision Support for Electronic Requirements Negotiations

  • Authors: Annika Lenz

  • DOI: https://doi.org/10.1007/978-3-658-31175-9

  • Publisher: Springer Gabler Wiesbaden

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020

  • Softcover ISBN: 978-3-658-31174-2Published: 17 July 2020

  • eBook ISBN: 978-3-658-31175-9Published: 16 July 2020

  • Edition Number: 1

  • Number of Pages: XVII, 123

  • Number of Illustrations: 21 b/w illustrations

  • Topics: Computer Science, general, Operations Research/Decision Theory

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