-------- Original Message -------- Subject: [WI] CFP Data and Information Quality Track at ECIS 2011 Date: Fri, 1 Oct 2010 10:41:51 +0200 From: Mathias KLIER Mathias.Klier@uibk.ac.at To: wi@lists.uni-karlsruhe.de
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CALL FOR PAPERS
19^th European Conference on Information Systems (ECIS 2011)
Track: "Data and Information Quality"
http://project.hkkk.fi/ecis2011/track_data_information_quality.htm
June 9-11, 2011, Helsinki, Finland (http://www.ecis2011.fi)
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Deadline for paper submissions: December 1, 2010
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Track Description:
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The quality of data and information plays a critical role in our knowledge-based economy. Moreover, novel fields of application such as online social networks and customer relationship management have given rise to a high relevance of data and information quality issues in theory and practice. This is due to the fact that the benefit of data and information depends heavily on their quality. Executives and employees need high-quality data and information to perform business, innovation, and decision-making processes properly. Against this background, it is not surprising that bad data and information quality may lead to wrong decisions and correspondingly high costs. According to an international survey up to 75% of executives have already made wrong decisions because of bad data and information quality. In addition, they and their staff spend up to 30% of their working time on checking the quality of data and information. Furthermore, 67% of marketing executives think that the satisfaction of their customers suffers from bad data and information quality. In this respect, the consequences of bad data and information quality are manifold: they range from insufficient decision support for executives to worsening customer relationships and customer satisfaction by addressing customers inadequately.
Against this background, the assessment and improvement as well as the economic impacts of data and information quality currently find a great deal of attention in science and practice. In this context, the Data and Information Quality Track focuses on novel managerial as well as technological data and information quality challenges and solutions. The track welcomes theoretical and empirical contributions as well as design science-oriented research.
Suggested Topics:
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* Impact of data and information quality
* Assessment of data and information quality
* Cost/benefit analyses of data and information quality improvement
* Data and information quality in sustainable decision making
* Management of data and information quality
* Data and information quality tools, methods, and concepts
* Data and information quality in the enterprise context
* Data and information quality of unstructured data
* Quality of ontologies
* Value of information (quality)
* Data and information quality cases and applications
- Web 2.0
- E-business
- Healthcare
- Financial services industry
- E-government
- Customer relationship management
- Supply chain management
- Data Warehousing and data mining
- Master data management
- Data integration
- Quality of metadata
* Research Methodologies in data and information quality
Fast-Track Publication:
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Outstanding papers will be fast-tracked for ACM Journal of Data and Information Quality (ACM JDIQ) (http://jdiq.acm.org/)
Track Chairs:
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Bernd Heinrich, University of Innsbruck, Austria
Yang W. Lee, Northeastern University, USA
Mathias Klier, University of Innsbruck, Austria
Best regards
Mathias Klier
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Dr. Mathias Klier
Leopold-Franzens-University of Innsbruck School of Management Information Systems
------------------------------------- Universitaetsstrasse 15 A-6020 Innsbruck Austria
Phone: +43 (0) 512 507 7685
Fax: +43 (0) 512 507 9809
Email: mathias.klier@uibk.ac.at mailto:bernd.heinrich@uibk.ac.at WWW: http://www.uibk.ac.at/wipl
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Gustaf Neumann