-------- Forwarded Message -------- Subject: [WI] CfP: ECIS 2021 - Track "Knowledge Management & Digitization" Date: Thu, 5 Nov 2020 12:06:31 +0100 From: Markus Bick mbick@escp.eu Reply-To: Markus Bick mbick@escp.eu To: Markus Bick mbick@escp.eu CC: Thalmann, Stefan (stefan.thalmann@uni-graz.at) stefan.thalmann@uni-graz.at, Smolnik, Stefan Stefan.Smolnik@fernuni-hagen.de

(Apologies for any cross-postings!) **************************************************************************** CALL FOR PAPERS

29th European Conference on Information Systems (ECIS 2021)

Track: Knowledge Management & Digitization (Track 19: KMDI)

June 14-16, 2021, Marrakech, Morocco (https://www.ecis2021.com/tracks-description https://www.ecis2021.com/tracks-description) **************************************************************************** TRACK CHAIRS Stefan Thalmann, University of Graz, Austria, stefan.thalmann@uni-graz.at mailto:stefan.thalmann@uni-graz.at Markus Bick, ESCP Europe Business School, France, mbick@escp.eu mailto:mbick@escp.eu Stefan Smolnik, University of Hagen, Germany, stefan.smolnik@fernuni-hagen.de mailto:stefan.smolnik@fernuni-hagen.de

DESCRIPTION Digitization currently changes the business world as well as the society as whole. In this regard knowledge is still important or becomes even more important. Especially, due to shorter product life cycles the half-life period of knowledge declines. This is a challenge for organizations as well as for the individual and generates new requirements to knowledge management (KM). Additional powerful digital technologies such as cheap sensors generating big amounts of data and advanced data analytic approaches for knowledge discovery have led to substantial changes in knowledge sharing practices. This track raises the questions whether and how digitization in general change the socio-technical aspects related to managing organizational knowledge. To reach new horizons, with respect to digitization, the question is how advanced data analytic approaches and AI can support knowledge creation and especially help to externalize implicit knowledge. Further, data-driven technologies seem promising in context detection and, thus, in the delivery of suitable training artefacts and in connecting people. We welcome both full research papers and research-in-progress papers. Topics of interest include, but are not limited to:

Requirements of digitization towards KM Knowledge risks arising along digital supply chains Social and behavioural issues in the context of KM and digitization KM and technology enhanced learning AI for technology-mediated social collaboration Knowledge life cycle and data-driven decision support Cross-organizational, cross-border and cross-cultural KM in digitized

worlds

AI to capture and share knowledge in social networks and distributed

contexts

Support for mature KM solutions: KM governance, KM strategies, KM

maturity models, and KM performance

System design for new generation KM systems

IMPORTANT DATES

18.11.2020 Paper submission deadline 03.03.2021 Notification of conditional acceptance 23.04.2021 Final acceptance

ASSOCIATE EDITORS Dominik Bork, University of Vienna, Austria Katharina Ebner, University of Hagen, Germany Angela Fessl, Know-Center Gmbh, Austria Nora Fteimi, University of Passau, Germany Ilona Ilvonen, Tampere University of Technology, Finland Murray E. Jennex, San Diego State University, United States Ranjan B. Kini, Indiana University Northwest, United States Julia Krönung, EBS Business School, Germany, Tyge-F. Kummer, Queensland University of Technology, Australia Franz Lehner, University of Passau, Germany Ronald Maier, University of Innsbruck, Austria Matthias Murawski, ESCP Business School Berlin, Germany Jan M. Pawlowski, Ruhr West University of Applied Sciences, Germany Henri Pirkkalainen, Tampere University of Technology, Finland Sofia Schöbel, University of Kassel, Germany Viktoria Pammer-Schindler, Graz University of Technology, Austria Susanne Durst, Tallinn University of Technology, Estonia Gergana Vladova, University of Potsdam, Germany Isabella Seeber, Grenoble Ecole de Management, France

--- *Prof. Dr. Markus Bick* Chair of Business Information Systems

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