Call for papers: Business Intelligence and Knowledge Management track at ECIS, deadline December 7, 2012
The 21st European Conference on Information Systems (ECIS 2013) will be held June 5-8, Utrecht University, Utrecht Science Park 'de Uithof'. The paper track "Business Intelligence and Knowledge Management" is soliciting contributions. For more information on the conference visit https://sites.google.com/site/ecis2013nl/home. The submission deadline for conference papers is December 7th 23.59hrs (Pacific Time). A template for papers is online.
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
Christian Janiesch, Karlsruhe Institute of Technology, Germany, firstname.lastname@example.org (Primary Contact)
Barbara Dinter, University of St.Gallen, Switzerland, email@example.com
Stefan Smolnik, EBS Business School, Germany, firstname.lastname@example.org
Markus Bick, ESCP Europe Wirtschaftshochschule Berlin, Germany, email@example.com
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