Title of article
AIMQ: a methodology for information quality assessment
Author/Authors
Yang W. Lee، نويسنده , , Diane M. Strong، نويسنده , , Beverly K. Kahn، نويسنده , , Richard Y. Wang، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2002
Pages
14
From page
133
To page
146
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.
Keywords
Information quality improvement , Information quality , Total Data Quality Management (TDQM) , Information quality benchmarking , Information quality assessment , Information quality analysis
Journal title
Information and Management
Serial Year
2002
Journal title
Information and Management
Record number
1226471
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