-------- Original-Nachricht --------
(Apologies for cross-postings of
this announcement.)
****************************************************************************
CALL FOR PAPERS
22nd European Conference on Information Systems (ECIS 2014)
Track: "Business Intelligence and Knowledge Management"
http://ecis2014.eu/wp-content/uploads/2013/07/4.-Business-Intelligence-and-Knowledge-Management1.pdf
June 09-11, 2014, Tel Aviv, Israel (http://ecis2014.eu/)
************************************************
***************************
Deadline for paper submissions: December 8, 2014
===========================================
Track Description
===============
The multi-faceted research fields of business intelligence (BI)
and knowledge
management (KM) comprise a wide range of strategies and
practices supporting
the identification, creation, distribution, and utilization of
organizational
insight. Many contributions have emphasized the importance of
taking care
of organizational data, information and knowledge assets for
decision support,
management, and leadership. In addition to the organizational
context,
BI and KM increasingly penetrate the daily (digital) life by
leveraging
business models and applications that are based on the
innovative use of
extensive data sources. New opportunities result from mobile
data, sensor
data, web data, social media data, and network data, and require
according
data gathering, data preparation and, in particular, data
analysis techniques.
‘Big data’ as a new hot topic addresses many of the
challenges that come
along with increasing variety, volume, and velocity of data.
Extending
existing analytics beyond organizational borders bares
considerable potential
for research and practice. New phenomena emerge the same way as
new business
models do. Furthermore, the availability of practically infinite
computing
and storage capacity through cloud computing enables new
opportunities
for servitizing our digital work life.
Since KM instruments have been
used,
numerous types of information systems seem to form a
heterogeneous knowledge
infrastructure that supports documentation, searching,
collaboration, integration,
and learning of knowledge thus, providing a rich context
surrounding these
‘knowledge objects’ in digital working life. Furthermore,
organizations
are challenged how to best prevent knowledge loss during
knowledge sharing
activities. Eventually, there is a strong need for
interoperability, in
particular widely accepted standards for integrated digital work
and life
to further develop the domain of KM.
This track aims to promote
multi-disciplinary
contributions dealing with managerial, economic, methodological,
cultural
and technical perspectives on BI and KM. Submissions based on
theoretical
research, design research, action research, or behavioral
research are
encouraged.
Topics of interest include, but are not limited to:
=======================================
* Strategic management of BI,
such as
BI strategy, BI governance, BI maturity models, and BI business
value
* Real time data warehousing and
operational
BI, event-driven BI, BAM
* Data warehousing and data
integration
* Social BI and social media
analytics
* Applications of BI, such as
customer
relationship management and business performance management
* BI in the cloud and analytics
as a
service
* Business models and
applications by
innovative use of big data
* Managerial and organizational
aspects
of big data
* Support for mature KM
solutions: KM
governance, KM strategies, KM maturity models, KM success
factors, and
KM performance
* Cross-border and cross-cultural
KM
* Management of knowledge and
business
process improvement
* Social and behavioral issues in
KM
* Mobile technologies and social
software
usage in KM
* Design, development, adoption,
usage,
and impact of KM systems
* Knowledge privacy, security,
protection
and risk management
Track Chairs
===========
Barbara Dinter, University of St.Gallen, Switzerland,
barbara.dinter@unisg.ch
(Primary Contact)
Markus Bick, ESCP Europe
Wirtschaftshochschule
Berlin, Germany, mbick@escpeurope.e
Christian Janiesch, Karlsruhe Institute of Technology, Germany,
christian.janiesch@kit.edu
Stefan Smolnik, EBS Business
School,
Germany, stefan.smolnik@ebs.edu
Associate Editors
===============
Sule Balkan, National Chiao Tung
University,
Taiwan
Geneviève Bassellier, McGill
University,
Canada
Narasimha Bolloju, City
University Hongkong,
Hongkong
Yu-Wei Chuang, National Central
University,
Taiwan
Tingting Rachel Chung, Chatham
University,
USA
Opher Etzion, IBM, Israel
Adir Even, Ben-Gurion University
of
the Negev, Israel
Carsten Felden, Technische
Universität
Bergakademie Freiberg, Germany
Hansjörg Fromm, Karlsruhe
Institute
for Technology, Germany
Michael Goul, Arizona State
University,
USA
Babita Gupta, California State
University
Monterey Bay, USA
Roland Holten, Goethe University
Frankfurt,
Germany
Murray E. Jennex, San Diego State
University,
USA
Ranjan B. Kini, Indiana
University Northwest,
USA
Ralf Knackstedt, University of
Hildesheim,
Germany
Marek Kowalkiewicz, SAP Asia Pte
Ltd
Maurice Kügler, EBS Business
School,
Germany
Tyge-F. Kummer,
Humbold-Universität
zu Berlin, Germany
Franz Lehner, University of
Passau,
Germany
Henry Linger, Monash University,
Australia
Olivera Marjanovic, University of
Sydney,
Australia
Malte Martensen, Accenture,
Germany
Martin Matzner, University of
Münster,
Germany
Oliver Müller, University of
Liechtenstein,
Liechtenstein
Jan M. Pawlowski, University of
Jyväskylä,
Finland
Ales Popovic, University of
Ljubljana,
Slovenia
Greg Richards, University of
Ottawa,
Canada
Inès Saad, Amiens School of
Management,
France
Saonee Sarker. University of
Virginia,
USA
Eric Schoop, TU Dresden, Germany
Antonio Rito Silva, Instituto
Superior
Técnico Lisboa, Portugal
Dick Stenmark, University of
Gothenburg,
Sweden
Stefan Thalmann, University of
Innsbruck,
Austria
Aljona Zorina, ESCP Europe Paris,
France
--
PD Dr. Barbara
Dinter
Institute of
Information
Management | University of St. Gallen
Mueller-Friedberg-Strasse
8
| 9000 St. Gallen | Switzerland
barbara.dinter@unisg.ch
|
www.iwi.unisg.ch