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Cited by 755

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Research Commentary: Information Systems and Conceptual Modeling—A Research Agenda

Wand, Yair, Weber, Ron·2002·Information Systems Research

Abstract

Within the information systems field, the task of conceptual modeling involves building a representation of selected phenomena in some domain. High-quality conceptual modeling work is important because it facilitates early detection and correction of system development errors. It also plays an increasingly important role in activities like business process reengineering and documentation of best-practice data and process models in enterprise resource planning systems. Yet little research has been undertaken on many aspects of conceptual modeling. In this paper, we propose a framework to motivate research that addresses the following fundamental question: How can we model the world to better facilitate our developing, implementing, using, and maintaining more valuable information systems? The framework comprises four elements: conceptual-modeling grammars, conceptual-modeling methods, conceptual-modeling scripts, and conceptual-modeling contexts. We provide examples of the types of research that have already been undertaken on each element and illustrate research opportunities that exist.

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Metadata

Authors
Wand, Y., & Weber, R.
Venue
Information Systems Research
Published
2002-12
Volume
13
Issue
4
Pages
363-376
ISSN
  • 1047-7047 (ISSN-L)
  • 1526-5536
OpenAlex
W2012656354
Cited by
755
References
5
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Research Commentary: Information Systems and Conceptual Modeling—A Research Agenda. https://app.cochat.ai/papers/10.1287/isre.13.4.363.69
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Wand, Y., & Weber, R. (2002). Research Commentary: Information Systems and Conceptual Modeling—A Research Agenda. Information Systems Research. https://doi.org/10.1287/isre.13.4.363.69

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.