Developments in Information & Knowledge Management for Business Applications | Volume 2

Aneta Poniszewska-Mara¿da (u. a.)

ISBN 10: 3030766349 / ISBN 13: 9783030766344

Published by Springer International Publishing, 2022

About this Item

Developments in Information & Knowledge Management for Business Applications | Volume 2 | Aneta Poniszewska-Mara¿da (u. a.) | Taschenbuch | xiv | Englisch | 2022 | Springer International Publishing | EAN 9783030766344 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 121978603

Bibliographic Details

• Title: Developments in Information & Knowledge Management for Business Applications | Volume 2
• Publisher: Springer International Publishing
• Publication Date: 2022
• Language: English
• ISBN 10: 3030766349
• ISBN 13: 9783030766344
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 39D millimeters 235 millimeters width by 155 millimeters height by 39 millimeters depth
• Weight: 1066 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book provides practical knowledge on different aspects of information and knowledge management in businesses. For enterprises/businesses those intend to remain prosperous and prolific, it is critically important to share best practices, ensure efficient information flow across company, capturing shared knowledge centrally, and communicate compliance rules, i.e. managing competently information in general. It enables faster and better decisions by helping employees’ to build a strong expertise and by avoiding duplicated projects. Thus, the second volume of this series subline continues to explore different aspects of information and knowledge handling as well as doing business with information. We survey further the key aspects of managerial implications of the informational business. The novel methodologies and practices for the business information processing as well as application of mathematical models to the business analytics and efficient managementare examined.