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Requirement Engineering for Knowledge-Intensive Processes

Reference Architecture for the Selection of a Learning Management System

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  • © 2015

Overview

  • Study in the field of economic sciences
  • Includes supplementary material: sn.pub/extras

Part of the book series: BestMasters (BEST)

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Table of contents (5 chapters)

Keywords

About this book

Sven-Michael Wundenberg discusses the development of a reference architecture for the Learning Management System’s (LMS) selection-process aimed at the system’s implementation in a polytechnic-knowledge-transfer organization. The focus lies on the requirement engineering (RE) process’s quintessence based on research about standard RE-procedures and -approaches combined with LMS-basic knowledge and LMS-best-practice experiences. The resulting reference-architecture, particularly its frameworks and questionnaires, are tested prototypically in the real-life instance of a polytechnic school, the Technikerschule Augsburg (TA), and delivers outstanding results.

Authors and Affiliations

  • INTEC Industrie-Technik GmbH & Co.KG, Laupheim, Germany

    Sven-Michael Wundenberg

About the author

Sven-Michael Wundenberg completed his Master’s Degree under the supervision of Prof. Dr. Michael Bächle at the Professional School of Business and Technology in Kempten /Germany and the Queensland University of Technology in Brisbane/ Australia.

Bibliographic Information

  • Book Title: Requirement Engineering for Knowledge-Intensive Processes

  • Book Subtitle: Reference Architecture for the Selection of a Learning Management System

  • Authors: Sven-Michael Wundenberg

  • Series Title: BestMasters

  • DOI: https://doi.org/10.1007/978-3-658-08832-3

  • Publisher: Springer Gabler Wiesbaden

  • eBook Packages: Business and Economics, Business and Management (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden 2015

  • Softcover ISBN: 978-3-658-08831-6Published: 06 February 2015

  • eBook ISBN: 978-3-658-08832-3Published: 23 January 2015

  • Series ISSN: 2625-3577

  • Series E-ISSN: 2625-3615

  • Edition Number: 1

  • Number of Pages: XV, 125

  • Number of Illustrations: 38 b/w illustrations

  • Topics: Knowledge Management, Operations Research/Decision Theory, Innovation/Technology Management

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