Abstract
Business Intelligence (BI) applications are strategic decision support systems that are significantly underutilized in many organizations. We propose that adoption and use can be improved by designing BI applications that provide users with high-quality metadata (i.e. information about the meaning, quality, location, and lineage of decision support data). Metadata's value is that it positively influences user attitudes towards data as measured by cognition and affect.
| Original language | English |
|---|---|
| Pages (from-to) | 167-180 |
| Number of pages | 14 |
| Journal | Information Systems Management |
| Volume | 31 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 17 2014 |
Scopus Subject Areas
- Information Systems
- Computer Science Applications
- Library and Information Sciences
Keywords
- affect
- business intelligence
- cognition
- metadata
- user attitudes