Vorliegende Sprache |
eng |
ISBN |
978-3-319-95203-1 |
Name |
Uden, Lorna ¬[HerausgeberIn]¬ |
Hadzima, Branislav ¬[HerausgeberIn]¬ |
Name ANZEIGE DER KETTE |
Hadzima, Branislav ¬[HerausgeberIn]¬ |
Name |
Ting, I-Hsien ¬[HerausgeberIn]¬ |
Körperschaft |
KMO <13., 2018, Žilina> ¬[VerfasserIn]¬ |
T I T E L |
Knowledge Management in Organizations |
Zusatz zum Titel |
13th International Conference, KMO 2018, Žilina, Slovakia, August 6-10, 2018, Proceedings |
Verlagsort |
Cham |
Verlag |
Springer International Publishing |
Erscheinungsjahr |
2018 |
2018 |
Umfang |
Online-Ressource (XVII, 730 p. 218 illus, online resource) |
Reihe |
Communications in Computer and Information Science ; 877 |
Titelhinweis |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-319-95203-1 |
Printed editionISBN: 978-3-319-95203-1 |
ISBN |
ISBN 978-3-319-95204-8 |
Klassifikation |
TJFM1 |
UYQ |
COM004000 |
006.3 |
Q334-342 |
TJ210.2-211.495 |
Kurzbeschreibung |
This book contains the refereed proceedings of the 13th International Conference on Knowledge Management in Organizations, KMO 2018, held in Žilina, Slovakia, in August 2018. The theme of the conference was "Emerging Research for Knowledge Management in Organizations." The 59 papers accepted for KMO 2018 were selected from 141 submissions and are organized in topical sections on: Knowledge management models and analysis; knowledge sharing; knowledge transfer and learning; knowledge and service innovation; knowledge creation; knowledge and organization; information systems and information science; knowledge and technology management; data mining and intelligent science; business and customer relationship management; big data and IoT; and new trends in IT |
2. Kurzbeschreibung |
Knowledge Management Models and Analysis -- Knowledge Sharing -- Knowledge Transfer and Learning -- Knowledge and Service Innovation -- Knowledge Creation -- Knowledge and Organization -- Information Systems and Information Science -- Knowledge and Technology Management -- Data Mining and Intelligent Science -- Business and Customer Relationship Management -- Big Data and IoT -- New Trends in IT |
SWB-Titel-Idn |
508134250 |
Signatur |
Springer E-Book |
Bemerkungen |
Elektronischer Volltext - Campuslizenz |
Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-3-319-95204-8 |
Internetseite / Link |
Volltext |
Siehe auch |
Resolving-System |
Siehe auch |
Cover |