The Impact of Conceptual Data Models on End-User Performance

The Impact of Conceptual Data Models on End-User Performance

Prashant Palvia (Memphis State University, USA), Chechen Liao (Memphis State University, USA) and Pui-Lai To (Memphis State University, USA)
Copyright: © 1992 |Pages: 13
DOI: 10.4018/jdm.1992100101
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

While implementation/logical data models have been extensively studied and reported on, there is relatively less attention on the conceptual data models, especially from an end-user empirical perspective. Conceptual models are more suited for end-users due to the richness in semantic expressiveness and user-oriented features, but usually are not directly implemented. In this article, we examine three conceptual models: data structure diagram, entity-relationship model, and object-oriented model from the viewpoint of endusers. Results of two empirical studies, one experimental and one survey, are described. A comparative examination of the three data models on comprehension, efficiency, productivity, and a whole host of other characteristics has been made. The general evidence from the experimental study is that the user performance is much superior in terms of comprehension, efficiency, and productivity using the object-oriented model than the data structure diagram or the entity-relationship model. The second study suggests that this clear user preference for the OOM model diminishes with increased computer and database experience. Given the explosive growth in recent years of end-user computing and their use of databases, the findings of this study should be of great concern for users as well as information systems specialists.

Complete Article List

Search this Journal:
Reset
Open Access Articles
Volume 28: 4 Issues (2017)
Volume 27: 4 Issues (2016)
Volume 26: 4 Issues (2015)
Volume 25: 4 Issues (2014)
Volume 24: 4 Issues (2013)
Volume 23: 4 Issues (2012)
Volume 22: 4 Issues (2011)
Volume 21: 4 Issues (2010)
Volume 20: 4 Issues (2009)
Volume 19: 4 Issues (2008)
Volume 18: 4 Issues (2007)
Volume 17: 4 Issues (2006)
Volume 16: 4 Issues (2005)
Volume 15: 4 Issues (2004)
Volume 14: 4 Issues (2003)
Volume 13: 4 Issues (2002)
Volume 12: 4 Issues (2001)
Volume 11: 4 Issues (2000)
Volume 10: 4 Issues (1999)
Volume 9: 4 Issues (1998)
Volume 8: 4 Issues (1997)
Volume 7: 4 Issues (1996)
Volume 6: 4 Issues (1995)
Volume 5: 4 Issues (1994)
Volume 4: 4 Issues (1993)
Volume 3: 4 Issues (1992)
Volume 2: 4 Issues (1991)
Volume 1: 2 Issues (1990)
View Complete Journal Contents Listing