标杆管理
水准点(测量)
质量(理念)
知识管理
信息质量
最佳实践
领域(数学)
质量管理
计算机科学
信息系统
工程类
管理科学
运营管理
业务
管理
营销
管理制度
纯数学
地理
哲学
经济
电气工程
认识论
数学
大地测量学
作者
Yang W. Lee,Diane M. Strong,Beverly K. Kahn,Richard Y. Wang
标识
DOI:10.1016/s0378-7206(02)00043-5
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.
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