Abstract
Contemporary business organizations understand the criticality of quality of data, yet they struggle to enhance it. Establishing, enhancing, and maintaining data quality in organizational information systems has been the focus research and industry for the last two decades. There is, however, nothing denying the fact that improvements in information quality require its objective assessment. This objectivity is necessitated due to the range of information quality dimensions, where lacking quality in each dimension affects other dimensions. Therefore, such an assessment provides for actionable learning that facilitates tangible improvements in system and practice. This paper presents a case study on assessment of information quality in a manufacturing organization. It utilizes product perspective of information applied to six sigma methodology, analytical hierarchy process to find the correlation between various information quality dimensions, and quality function deployment to develop critical to quality trees.
Recommended Citation
Haider, Abrar and Lee, Simon, "Information Quality Measurement Using Quality Function Deployment – A Korean Case Study" (2012). AMCIS 2012 Proceedings. 15.
https://aisel.aisnet.org/amcis2012/proceedings/DataInfoQuality/15
Information Quality Measurement Using Quality Function Deployment – A Korean Case Study
Contemporary business organizations understand the criticality of quality of data, yet they struggle to enhance it. Establishing, enhancing, and maintaining data quality in organizational information systems has been the focus research and industry for the last two decades. There is, however, nothing denying the fact that improvements in information quality require its objective assessment. This objectivity is necessitated due to the range of information quality dimensions, where lacking quality in each dimension affects other dimensions. Therefore, such an assessment provides for actionable learning that facilitates tangible improvements in system and practice. This paper presents a case study on assessment of information quality in a manufacturing organization. It utilizes product perspective of information applied to six sigma methodology, analytical hierarchy process to find the correlation between various information quality dimensions, and quality function deployment to develop critical to quality trees.