AIMQ: a methodology for information quality assessment

  • Authors:

  • Yang W. Lee;Diane M. Strong;Beverly K. Kahn;Richard Y. Wang

  • Affiliations:

  • College of Business Administration, Northeastern University, Boston, MA;Worcester Polytechnic Institute, Management Department, Worcester, MA;Sawyer School of Management, Suffolk University, Suffolk, VA;MIT, UC, Berkerley and Boston University, Boston, MA

  • Venue:
  • Information and Management
  • Year:
  • 2002

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Abstract

Information quality (IQ) is critical in organizations. Yet, despite a decade of active research and practice, the field lacks comprehensive methodologies for its assessment and improvement. Here, we develop such a methodology, which we call AIM quality (AIMQ) to form a basis for IQ assessment and benchmarking. The methodology is illustrated through its application to five major organizations. The methodology encompasses a model of IQ, a questionnaire to measure IQ, and analysis techniques for interpreting the IQ measures. We develop and validate the questionnaire and use it to collect data on the status of organizational IQ. These data are used to assess and benchmark IQ for four quadrants of the model. These analysis techniques are applied to analyze the gap between an organization and best practices. They are also applied to analyze gaps between IS professionals and information consumers. The results of the techniques are useful for determining the best area for IQ improvement activities.