Information Quality

 

 

IT Management

 

Chair(s): Barbara D. Klein (bdklein@umd.umich.edu)
University Affiliation: University of Michigan-Dearborn
Phone: (313) 593-5268
 


Description:

This mini-track focuses on behavioral, organizational, and technical issues related to information quality in organizational information systems.

Most organizational information systems suffer from information quality problems. As organizations are increasingly dependent on information systems for support of organizational functions, information quality problems may pose serious problems for organizations. In general, both technical and behavioral approaches to improving information quality problems have been found to be useful, although problems remain in most organizations.

This mini-track will focus on ways to better understand and address information quality problems in organizational information systems. The mini-track will emphasize approaches to system design that ensure high quality information, behavioral issues in the use of information systems with information quality problems, and managerial issues in the design and use of systems with information quality problems. Papers addressing information quality problems and solutions associated with web-based information systems are particularly encouraged. Studies applying theoretical perspectives from psychology, artificial intelligence, management science, and organizational science are sought. Organizational case studies involving solutions to information quality problems are also welcome.
 

The mini-track will focus on:

  • Information quality problems and solutions.

     

  • Behavioral issues in the use of systems with information quality problems.

     

  • Approaches to the design of information systems to minimize information quality problems.

     

  • Managerial solutions to information quality problems.

     

  • Information quality problems and solutions associated with web-based information systems.

     

  • Technical approaches to the improvement of information quality.

     

  • Organizational case studies addressing information quality problems and solutions.

     

  • Mathematical modeling approaches to the improvement of information quality.

     

  • Measurement of information quality.

 

 AMCIS 2007 Colorado        http://www.biz.colostate.edu/amcis07/       Key Dates:

Paper Abstracts Due (optional) Monday, February 5, 2007
Papers Due:   Monday, March 5, 2007
Notification of Acceptance:   Monday, April 16, 2007
Camera Ready Copy Due:   Monday, April 30, 2007