Kryvinska / Poniszewska-Maranda / Poniszewska-Maranda Developments in Information & Knowledge Management for Business Applications

Volume 3
1. Auflage 2021
ISBN: 978-3-030-77916-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 377, 808 Seiten, eBook

Reihe: Studies in Systems, Decision and Control

This book provides practical knowledge on different aspects of information and knowledge management in businesses. In contemporary unstable time, enterprises/businesses deal with various challenges—such as large-scale competitions, high levels of uncertainty and risk, rush technological advancements, while increasing customer requirements. Thus, businesses work continually on improving efficiency of their operations and resources towards enabling sustainable solutions based on the knowledge and information accumulated previously. Consequently, this third volume of our subline persists to highlight different approaches of handling enterprise knowledge/information management directing to the importance of unceasing progress of structural management for the steady growth. We look forward that the works of this volume can encourage and initiate further research on this topic.

Zielgruppe

Research

Autoren/Hrsg.

Kryvinska, Natalia

Poniszewska-Maranda, Aneta

Inhaltsverzeichnis

Creating a system based on CRM solutions that will manage the supplier base.- Voucher 4.0 - Digitisation potential in voucher sales from the works council's point of view.- Use of E-service Analytics in Slovakia.- Managing Quality of Human-Based Electronic Services.- Sustainability Drives of the Sharing Economy.- Sentiment analysis for diagnostic purposes.- SZZ Unleashed-RA-C: An improved implementation of the SZZ algorithm and empirical comparison with existing open source solutions.- Which static code metrics can help to predict test case effectiveness? New metrics and their empirical evaluation on projects assessed for industrial relevance.- Intelligent Freight Forwarder with tabu search Algorithm.- Comparison the genetic algorithm and selected heuristics for the vehicle routing problem with capacity limitation.