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Automated Pattern Recognition of Communication Behaviour in Electronic Business Negotiations

  • Book
  • © 2023

Overview

Authors:
  1. Muhammed Fatih Kaya

    1. Information Systems 1, University of Hohenheim, Stuttgart-Hohenheim, Germany

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Part of the book series: Gabler Theses (GT)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Introduction

    • Muhammed Fatih Kaya
    Pages 1-11

  3. Application of Data Mining Methods for Pattern Recognition in Negotiation Support Systems

    • Muhammed Fatih Kaya
    Pages 13-28

  4. Advanced Maintenance of Data Richness in Business Communication Data—An Evaluation of Dimensionality Reduction Techniques

    • Muhammed Fatih Kaya
    Pages 29-55

  5. Analytical Comparison of Clustering Techniques for the Recognition of Communication Patterns

    • Muhammed Fatih Kaya
    Pages 57-90

  6. Pattern Labelling of Business Communication Data

    • Muhammed Fatih Kaya
    Pages 91-123

  7. Discussion and Outlook

    • Muhammed Fatih Kaya
    Pages 125-136

  8. Back Matter

    Pages 137-164
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Keywords

About this book

The world of digitalisation is changing the way how people and business companies communicate with each other. Electronic negotiations represent one of the most important forms of business communication and can influence the successes and failures of companies in a significant way, whether in interorganisational or intraorganisational processes. Analysing negotiation interactions to determine pattern-based peculiarities in the communication offers new value-adding information concerning the management of optimised communication processes, even though the machine-based processing of communication data bears a series of challenges. The present book develops a new approach to analyse the automated pattern recognition potential of Machine Learning methods in unstructured negotiation communication. It presents holistic research frameworks for the effective detection of structural patterns and reveals the pattern labelling potential in high-dimensional communication data by analytically implementing a series of Machine Learning methods.

Authors and Affiliations

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

    Muhammed Fatih Kaya

About the author

Dr. Muhammed Fatih Kaya is a postdoctoral researcher at the Information Systems 1 department (Institute of Interorganisational Management and Performance) at the University of Hohenheim in Germany. His research interests include Machine Learning, Natural Language Processing, Text Mining, Recommender Systems and Electronic Negotiations.

Bibliographic Information

  • Book Title: Automated Pattern Recognition of Communication Behaviour in Electronic Business Negotiations

  • Authors: Muhammed Fatih Kaya

  • Series Title: Gabler Theses

  • DOI: https://doi.org/10.1007/978-3-658-40534-2

  • Publisher: Springer Gabler Wiesbaden

  • eBook Packages: Business and Economics (German Language)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2023

  • Softcover ISBN: 978-3-658-40533-5Published: 20 January 2023

  • eBook ISBN: 978-3-658-40534-2Published: 19 January 2023

  • Series ISSN: 2731-3220

  • Series E-ISSN: 2731-3239

  • Edition Number: 1

  • Number of Pages: XVII, 164

  • Number of Illustrations: 20 b/w illustrations, 10 illustrations in colour

  • Topics: Business and Management, general, Behavioral/Experimental Economics

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