Previous research on corporate household and corporate householding has presented
examples, literature review, and working definitions. In this paper, we first improve our
understanding of the area by developing a typology of corporate householding tasks
and knowledge…

Data quality issues have taken on increasing importance in recent years. In our research, we have discovered that many “data quality” problems are actually “data misinterpretation” problems – that is, problems with data semantics. In this paper, we first illustrate…

Advances in Corporate Householding are needed to address certain categories of data quality problems caused by data misinterpretation. In this paper, we first summarize some of these data quality problems and our more recent results from studying corporate householding applications…