The Pragmatic Quality of Resources-Events-Agents Diagrams: An Experimental Evaluation
Geert Poels (geert.poels@ugent.be),
A. Maes (ann.maes@ugent.be),
F. Gailly (frederik.gailly@ugent.be) and
R. Paemeleire (roland.paemeleire@ugent.be)
Additional contact information
R. Paemeleire: -
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium from Ghent University, Faculty of Economics and Business Administration
Abstract:
The Resources-Events-Agents (REA) model is a semantic data model for the development and integration of conceptual schemas of accounting information systems. Although in the Accounting Information Systems literature, the REA model is proposed as a benchmark against which to evaluate newly proposed accounting data models, only few studies have been undertaken to empirically validate the claimed benefits of REA modeling. Moreover, these studies focused on REA-based accounting system implementations and not on problem space representations. The work presented in this paper addresses this gap. Starting from theoretical frameworks for conceptual model quality and method evaluation in the IS field, and from previous research on comparative analysis of data modeling formalisms, a laboratory experiment was organized to evaluate the understanding of diagrammatic conceptual schemas that are developed using the REA model. The experimental results indicate that the REA modeling of accounting systems is effective in terms of the accuracy of understanding. On the other hand, little support was found for its efficiency in terms of faster comprehension of schemas that are developed according to the REA model.
Pages: 29 pages
Date: 2004-01
New Economics Papers: this item is included in nep-exp
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://wps-feb.ugent.be/Papers/wp_04_219.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rug:rugwps:04/219
Access Statistics for this paper
More papers in Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium from Ghent University, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Nathalie Verhaeghe (nathalie.verhaeghe@ugent.be).