AIMQ: a methodology for information quality assessment

被引:801
作者
Lee, YW
Strong, DM
Kahn, BK
Wang, RY
机构
[1] Northeastern Univ, Coll Business Adm, Boston, MA 02115 USA
[2] Worcester Polytech Inst, Dept Management, Worcester, MA 01609 USA
[3] Suffolk Univ, Sawyer Sch Management, Suffolk, VA USA
[4] Boston Univ, Boston, MA 02215 USA
[5] UC, MIT, Berkeley, CA USA
关键词
information quality; information quality assessment; information quality benchmarking; information quality analysis; information quality improvement; Total Data Quality Management (TDQM);
D O I
10.1016/S0378-7206(02)00043-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:133 / 146
页数:14
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