Helfert, Markus, Foley, Owen, Ge, Mouzhi and Cappiello, Cinzia (2009) Limitations of weighted sum measures for information quality. Proceedings of the Fifteenth Americas Conference on Information Systems.
Preview
MH_limitations.pdf
Download (449kB) | Preview
Abstract
In an age dominated by information, information quality (IQ) is one of the most important factors to consider for
obtaining competitive advantages. The general approach to the study of IQ has relied heavily on management
approaches, IQ frameworks and dimensions. There are many IQ measures proposed, however dimensions in most
frameworks are analyzed and assessed independently. Approaches to aggregate values have been discussed, by which
foremost research mostly suggests to estimate the overall quality of information by total all weighted dimension scores.
In this paper, we review the suitability of this assessment approach. In our research we focus on IQ dependencies and
trade-offs and we aim at demonstrating by means of an experiment that IQ dimensions are dependent. Based on our result
of dependent IQ dimensions, we discuss implications for IQ improvement. Further research studies can build on our
observations.
Item Type: | Article |
---|---|
Keywords: | Information quality; IQ dimensions; IQ assessment; IQ Measurement; |
Academic Unit: | Faculty of Social Sciences > School of Business |
Item ID: | 12868 |
Depositing User: | Markus Helfert |
Date Deposited: | 12 May 2020 10:02 |
Journal or Publication Title: | Proceedings of the Fifteenth Americas Conference on Information Systems |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/12868 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year