@inproceedings{3a3c2cba1a6e4ed2b33a72bb512e2c05,
title = "Limitations of weighted sum measures for information quality",
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.",
keywords = "IQ Measurement, IQ assessment, IQ dimensions, Information quality",
author = "Markus Helfert and Owen Foley and Mouzhi Ge and Cinzia Cappiello",
year = "2009",
language = "English",
isbn = "9781615675814",
series = "15th Americas Conference on Information Systems 2009, AMCIS 2009",
pages = "2220--2229",
booktitle = "15th Americas Conference on Information Systems 2009, AMCIS 2009",
note = "15th Americas Conference on Information Systems 2009, AMCIS 2009 ; Conference date: 06-08-2009 Through 09-08-2009",
}