[AISWorld] Last CfP - ECIS 2016 Track 20 - covering knowledge management, businessintelligence and big data topics

Markus Bick mbick at escpeurope.eu
Sun Nov 22 17:54:04 EST 2015


(*Apologies for cross-postings of this announcement.*)

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LAST CALL FOR PAPERS
24th European Conference on Information Systems (ECIS 2016)
Track: "Knowledge Management"
http://ecis2016.eu/files/downloads/Tracks/T20.pdf

June 12-15, 2016, Istanbul, Turkey (http://ecis2016.eu)
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*Deadline for paper submissions:  November 27th, 2015*
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*Track Description:*
==================
Many scholars have emphasized the importance of (big) data, information and
knowledge assets for efficient and effective decision support, management,
or leadership. Consequently, business intelligence (BI) and knowledge
management (KM) are essential for organizations’ daily business, directly
influencing competitive advantage and business development in a global
world. In addition to a traditional and isolated organizational focus, BI
and KM are more and more happening in networked environments. Thus, BI and
KM increasingly provide a global gateway to data and information for
people, organizations, societies, and even things by providing technologies
and methods that allow the gathering, preparing, analyzing and
visualization of data or information. Improved communication, optimized
networks, and new business models are examples for the innovative usage of
new and various data sources (such as mobile/sensor/social media data).
This changes the way of interaction and the way corresponding information
and communication technology is used on the individuals’ level, in or
across teams as well as on the organizational level, or even in global
settings.
Extant BI research explores primarily organizational and technological
advances to improve business performance in a continuous and iterative way.
It includes exploratory data analysis techniques to develop new insights
and descriptive techniques which cover ETL, OLAP as well as related
technologies to provide historical, current and predictive views of the
business. However, limited attention has been paid to the individuals’
perspective focusing on personal objectives and characteristics as enabling
or preventing factors to BI utilization. The big data challenge, fueled by
increasing variety, volume and velocity of data, bares large potential for
research and practice by extending existing analytics beyond the
organizations’ borders. New phenomena emerge the same way as new business
models do. Furthermore, the availability of endless computing and storage
capabilities through cloud computing enables new opportunities in providing
a global gateway to information as a service.
KM becomes more and more important in global settings. As organizations and
knowledge-workers are increasingly globally distributed, the need for
efficient management of knowledge-intensive processes is a main challenge.
The influence of geographical dispersion, communication across time zones,
or national/cultural influence factors needs to become a focus issue in
research for the next decade. Particularly, collaboration takes place in
different social or cultural environments. Due to the usage of
collaborative technologies like social software, organizational and
national boundaries become more blurred, and knowledge can be diffused much
easier. Openness and inter-organizational collaboration build the global
pathway of rich and contextualized knowledge sharing activities among
networked persons within and beyond organizational boundaries. Eventually,
in an increasingly globally distributed world, organizations and
knowledge-workers are required to exploit relationships with others and to
gain benefits out of such relationships.
Motivated by the explosion of interest in the emerging fields of big data,
business intelligence and analytics, and knowledge management, this track
traditionally welcomes contributions from both fields: knowledge management
and business intelligence. By that, we promote multidisciplinary
contributions since ECIS 2012 dealing with managerial, economic,
methodological, cultural or technical perspectives. Consequently, we
encourage submissions based on theoretical research, design research,
action research, or behavioral research.

*Topics of interest include, but are not limited to:*
===================================================
* Capturing and sharing knowledge in social networks and distributed
contexts
* Cross-organizational, cross-border and cross-cultural KM
* KM and smart cities
* KM in the cloud
* Support for mature KM solutions: KM governance, KM strategies, KM
maturity models, and KM performance
* Social and behavioral issues in KM
* Mobile technologies and social software usage in KM
* KM and learning
* Knowledge security, protection, and risk management
* Strategic management issues of BI
* Adoption, implementation, routinization and use of BI
* Organizational issues in BI implementation and success
* Descriptive BI, predictive and prescriptive analytics
* Real time data warehousing and operational BI, event-driven BI, business
activity monitoring
* BI’s new frontiers: e.g. social (media) BI, BI in the cloud, BI as a
service
* Applications (e.g. CRM) and success of BI
* Big data driven business model innovation and applications
* Adoption and utilization of big data
* BI for improving process and firm performance
* BI in networks connecting things, people, organizations, and markets
* Architectures, technical and organizational approaches to enable handling
of big data

*Track Chairs:*
=============
Markus Bick, ESCP Europe Wirtschaftshochschule Berlin, Germany, mbick<at>
escpeurope.eu
Barbara Dinter, Chemnitz University of Technology, Germany,
barbara.dinter<at>wirtschaft.tu-chemnitz.de
Stefan Smolnik, University of Hagen, Germany,
Stefan.Smolnik<at>FernUni-Hagen.de (Primary Contact)

*Associate Editors:*
==================
Sule Balkan, National Chiao Tung University, Taiwan
Geneviève Bassellier, McGill University, Canada
Ulrike Baumöl, University of Hagen, Germany
Mustafa Baydogan, Boğaziçi University, Turkey
Elsa Cardoso, ISCTE – Instituto Universitário de Lisboa, Portugal
Yu-Wei Chuang, National Central University, Taiwan
Tingting Rachel Chung, Chatham University, USA
Katharina Ebner, University of Hagen, Germany
Adir Even, Ben-Gurion University of the Negev, Israel
Kelly J. Faden, Utah State University, USA
Hansjörg Fromm, Karlsruhe Institute for Technology, Germany
Michael Goul, Arizona State University, USA
Roland Holten, Goethe University Frankfurt, Germany
Christian Janiesch, Julius-Maximilians-Universität Würzburg, 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 America, Inc., USA
Tyge-F. Kummer, Griffith University, Australia
Franz Lehner, University of Passau, Germany
Henry Linger, Monash University, Australia
Ronald Maier, University of Innsbruck, Austria
Kent Marett, Mississippi State University, USA
Olivera Marjanovic, University of Sydney, Australia
Malte Martensen, Promerit, Germany
Martin Matzner, University of Münster, Germany
Oliver Müller, University of Liechtenstein, Liechtenstein
Jan M. Pawlowski, Ruhr West University of Applied Sciences, Germany
Henri Pirkkalainen, University of Jyväskylä, Finland
Aleš Popovič, University of Ljubljana, Slovenia
Gregory Richards, University of Ottawa, Canada
Eric Schoop, TU Dresden, Germany
Dick Stenmark, University of Gothenburg, Sweden
Stefan Thalmann, University of Innsbruck, Austria
Aljona Zorina, ESCP Europe Business School Paris, France


*--*
*Prof. Dr. Markus Bick*
Chair of Business Information Systems // Lehrstuhl für Wirtschaftsinformatik
Academic Director Bachelor in Management (BIM), Campus Berlin
Academic Director MSc in European Business (MScEB)
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