Automated Pattern Recognition Of Communication Behaviour In Electronic Business Negotiations
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Automated Pattern Recognition of Communication Behaviour in Electronic Business Negotiations
Author: Muhammed Fatih Kaya
language: en
Publisher: Springer Nature
Release Date: 2023-01-19
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.
Applications of Blockchain Technology in E-Business Value Chains
Blockchain Technology (BCT) is explored as a substantial part of the next generation of the Internet affecting business models in e-business. This book explores the application of BCT in e-business focusing on the value creation. The research objective is to examine how and why BCT is used in e-business value chains. This objective is reached through a pragmatic multimethod approach combining four studies. Study 1 summarises the state-of-the-art of approaches to assess a BCT fit for a particular scenario and outlines shortcomings resulting from these approaches. Study 2 provides empirical insights into the usage of BCT in four e-business value chains based on the cases Theta (content), OpenBazaar (commerce), Presearch (context), and Crypviser (connection). Study 3 deepens the insights in the e-commerce value chain. By means of a qualitative content analysis of news articles, various BCT application domains for each e-commerce activity are presented. Study 4 narrows the perspective of analysis to e-negotiations, proposes a BC-based negotiation support system and examines its opportunities and challenges. Finally, an integrative discussion of the findings results in two explanations how BCT is applied in e-business.
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