AIMQ: a methodology for information quality assessment

By Yang W. Lee, Diane M. Strong, Beverly K. Kahn, Richard Y. Wang. Information Manager (The), 2002

1,085 citations recorded by the source corpus.

Subfields: Information Systems, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/4e82d1fe3066ad65970434c7b1d0a10c3443e94d

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In Information Systems

In Management Information Systems

In Management Science and Operations Research

Citations in the corpus

WebQual: An Instrument for Consumer Evaluation of Web Sites (2007, positive): “This further confirms the relevance of the total set of dimensions for Web site evaluation: information quality [18], functional fit-to-task [79], tailored information [83], trust [62, 66, 75, 90, 98], response time [36], ease of use [69, 88], intuitive operations [69, 88], visual appeal [45], consi”
The impact of forecast information quality on supply chain performance (2007, neutral): “English, 1999 and Lee et al., 2002) and some on order information quality. Petersen (1999) measured information quality in terms of if it was current, accurate, complete, compatible or convenient to access. Whipple et al. (2002) studied operational information exchange in alliances. They did not use”
Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing (2005, neutral): “Format is tied to the notion of representational quality [4, 47, 53, 82].”
Toward an Evidence-Based System for Innovation Support for Implementing Innovations with Quality: Tools, Training, Technical Assistance, and Quality Assurance/Quality Improvement (2012, positive): “The need for greater information quality control has produced a variety of tools for information quality assurance (see Lee et al. 2002; Kitchenham et al. 1995, Mizzaro 2003; Whiting et al. 2003) Conduct an outcome evaluation (GTO step 8) This step involves assessing the extent to which the desired…”
Quality assessment for Linked Data: A Survey (2015, neutral): “In particular, the database community has developed a number of approaches [4,38,51,62].”
A Survey on Data Quality: Classifying Poor Data (2015, positive): “The AIMQ model is based on the PS/IQ model and defines four quadrants for data quality dimensions [38].”
Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook (2020, positive): “Data quality can be organized into four main dimensions [91]: (1) Intrinsic, which refers to the characteristics that are native to the data itself, including timeliness, completeness, accuracy and consistency [92]; (2) Contextual, meaning the attributes that are dependent on the context of the task”
Effects of tourism information quality in social media on destination image formation: The case of Sina Weibo (2017, neutral): “Most frequently cited dimensions are those proposed by DeLone and McLean (2003) and Lee et al. (2002).”
Methodologies for data quality assessment and improvement (2009, positive): “The AIMQ methodology is the only information quality methodology focusing on benchmarking [Lee et al. 2002], that is an objective and domainindependent technique for quality evaluation.”
Employees' Behavior towards IS Security Policy Compliance (2007, positive): “Information quality is measured by using the item scale proposed by Lee et al. [29].”
Quality of financial reporting: measuring qualitative characteristics (2009, neutral): “Jonas & Blanchet (2000), Lee et al. (2002) and McDaniel et al.”