the 20th European Conference on Information Systems
Barbara Dinter (Track co-chair and contact person) University of St.Gallen Institute of Information Management Müller-Friedberg-Strasse 8 9000 St.Gallen, Switzerland Tel. +41 71 224 36 12, Fax +41 71 224 21 89 firstname.lastname@example.org
Stefan Smolnik (Track co-chair) EBS Business School Institute of Research on Information Systems (IRIS) Söhnleinstraße 8D 65201 Wiesbaden, Germany Tel. +49 611 7102 2177, Fax +49 611 7102 102177 email@example.com
Business intelligence (BI) and knowledge management (KM) contribute significantly to an organisation's competitiveness and sustainable development. Both domains provide means to leverage organisational information and knowledge assets for efficient and effective decision making. The underlying BI and KM agendas are nothing less than to deliver decision support for sustainable economic development, which is an important prerequisite for the global welfare. In order to provide enduring value, the decision makers must rely on consolidated and high-quality information as well as on a current and context-rich knowledge base that are correlated with the organisational setting and environment.
Consequently, BI and KM meanwhile represent an essential component of the enterprise application landscape. BI is a broad category of technologies, applications, and processes to support data analysis and decision making in organisations and across organisational boundaries. Complementary, KM focuses on capturing the right knowledge, providing it to the right user, and using this knowledge to improve 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 application.
This track aims to promote contributions dealing with a managerial, an economic, a methodological 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.
Selected papers will be considered for fast-track publication in a special issue of the International Journal of Business Intelligence Research (IJBIR).