Automated Pattern Recognition of Communication Behaviour in Electronic Business Negotiations
Published on 19. January 2023
XVII, 164 pages
978-3-658-40534-2 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Wiesbaden
Germany
Publishing group
Springer Fachmedien Wiesbaden GmbH
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XVII, 164 p. 30 illus., 10 illus. in color. Textbook for German language market.
File size
2,32 MB
ISBN-13
978-3-658-40534-2 (9783658405342)
DOI
10.1007/978-3-658-40534-2
Schweitzer Classification
Other editions
Additional editions
Muhammed Fatih Kaya
Automated Pattern Recognition of Communication Behaviour in Electronic Business Negotiations
Book
01/2023
Springer Gabler
€96.29
Shipment within 10-15 days
Person
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.
Content
Introduction.- Application of Data Mining Methods for Pattern Recognition in Negotiation Support Systems.- Advanced Maintenance of Data Richness in Business Communication Data - An Evaluation of Dimensionality Reduction Techniques.- Analytical Comparison of Clustering Techniques for the Recognition of Communication Patterns.- Pattern Labelling of Business Communication Data.- Discussion and Outlook.- References.
