-------- Original-Nachricht -------- Betreff: [wkwi] CfP ECIS 2013 - Track "Business Intelligence and Knowledge Management" Datum: Sun, 16 Sep 2012 12:18:16 +0200 (CEST) Von: Stefan.Smolnik@ebs.edu Antwort an: postmaster@idefix.buva.sowi.uni-bamberg.de
(Apologies for cross-postings of this announcement.)
**************************************************************************** CALL FOR PAPERS 21st European Conference on Information Systems (ECIS 2013) Track: "Business Intelligence and Knowledge Management" (https://sites.google.com/site/ecis2013nl/the-conference/tracks-and-keynotes/...) June 05-08, 2013, Utrecht, Netherlands (http://www.ecis2013.nl http://www.ecis2013.nl/) ************************************************ ***************************
Deadline for paper submissions: December 7, 2012 ===========================================
Track Description =============== Business intelligence (BI) and knowledge management (KM) contribute significantly to an organisation's competitiveness and development. Both domains provide means to leverage organisational information and knowledge assets for efficient and effective decision making. In order to provide enduring value, the decision makers must rely on consolidated, timely, and accurate information as well as on a current and context-rich knowledge base that are correlated with the organisational setting and environment. For this reason, BI and KM become more and more important in global settings. The influence of aspects like geographical dispersion, communication across time zones as well as cultural influence crossing borders is a topically focus issue in current research. BI and KM represent an essential component of the enterprise application landscape. BI comprises a broad selection of technologies, applications, and processes to support data analysis and decision making in organisations and across organisational and societal borders. Complementary, KM focuses on capturing the right knowledge, providing it to the right user, and using this knowledge to improve (inter-)organisational and/ or individual performance. Although addressed by research for a long time, both domains are still evolving. For example, new applications, innovative technologies, and increasing maturity of BI and KM solutions demand for adequate methodological and technical advice as well as for the performance measurement of organisational applications. In such settings, BI and KM design, acceptance, and deployment are influenced by a variety of additional aspects, in particular cultural aspects. Consequently, various disciplines have to contribute developing comprehensive and reliable (global) BI and KM settings. This track aims to promote multi-disciplinary contributions dealing with a managerial, an economic, a methodological, a cultural, or a technical perspective on BI and KM. Submissions based on theoretical research, design research, action research, or behavioural research are encouraged. We welcome both full research papers and research in progress papers.
Topics of interest include, but are not limited to: ======================================= * Support for mature BI and KM solutions: BI/ KM governance, BI/ KM strategies, BI/ KM maturity models, BI/ KM success factors, and BI/KM performance * Cross-border/ cross-cultural BI and KM * Emerging trends in BI: pervasive BI, BI 2.0 (social media and BI), and mobile BI * Real time data warehousing and operational BI, event-driven BI, BAM * Applications of BI, such as customer relationship management and business performance management * Data warehousing and data integration * Predictive and advanced analytics, and data visualisation * Insight-to-action decision support * Analytics as a Service * Data, text and web mining for BI * Management of knowledge and business process improvement * Social and behavioural issues in KM * Mobile technologies and social media usage in KM * Capturing and sharing knowledge in social networks and distributed contexts * Design, development, adoption, usage, and impact of KM systems * Inter-organisational KM and KM systems, such as in the supply chain * KM and learning
Track Chairs =========== Christian Janiesch, Karlsruhe Institute of Technology, Germany, christian.janiesch@kit.edu (Primary Contact) Barbara Dinter, University of St.Gallen, Switzerland, barbara.dinter@unisg.ch Stefan Smolnik, EBS Business School, Germany, stefan.smolnik@ebs.edu Markus Bick, ESCP Europe Wirtschaftshochschule Berlin, Germany, mbick@escpeurope.eu
Associate Editors =============== Thilini Ariyachandra, Xavier University, USA Sule Balkan, Arizona State University, USA Geneviève Bassellier, McGill University, Canada Yu-Wei Chuang, National Central University, Taiwan Tingting Rachel Chung, Carlow University, USA Alexander Dreiling, Queensland University of Technology, Australia Carsten Felden, Technische Universitaet Bergakademie Freiberg, Germany Hansjörg Fromm, Karlsruhe Institute for Technology, Germany Michael Goul, Arizona State University, USA Bapita Gupta, California State University Monterey Bay, USA Roland Holten, Goethe University Frankfurt, Germany Murray E. Jennex, San Diego State University, USA Claudia Jonczyk, ESCP Europe London, UK Ralf Knackstedt, University of Münster, Germany Ranjan B. Kini, Indiana University Northwest, USA Maurice Kügler, EBS Business School, Germany Tyge-F. Kummer, HU Berlin, Germany Uday Kulkarni, Arizona State University, USA Franz Lehner, University of Passau, Germany Henry Linger, Monash, Melbourne Australia Olivera Marjanovic, University of Sydney, Australia Malte Martensen, Accenture, Germany Nada Matta, Université de Technologie de Troyes, France Marco Meier, University of Augsburg, Germany Oliver Müller, University of Liechtenstein, Liechtenstein René Peinl, Hof-University, Germany Greg Richards, University of Ottawa, Canada Inès Saad, Amiens School of Management, France Eric Schoop, TU Dresden, Germany Antonio Rito Silva, Instituto Superior Técnico Lisboa, Portugal Nenad Stojanovic, FZI Karlsruhe, Germany Stefan Thalmann, University of Innsbruck, Austria Nils Urbach, EBS Business School, Germany Patrick Veith, University of Duisburg-Essen, Germany
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