How do practitioners use conceptual modeling in practice?

Davies, I., Green, P., Rosemann, M., Indulska, M. and Gallo, S. (2006) How do practitioners use conceptual modeling in practice?. Data & Knowledge Engineering, 58 3: 358-380. doi:10.1016/j.datak.2005.07.007

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Author Davies, I.
Green, P.
Rosemann, M.
Indulska, M.
Gallo, S.
Title How do practitioners use conceptual modeling in practice?
Journal name Data & Knowledge Engineering   Check publisher's open access policy
ISSN 0169-023X
Publication date 2006
Sub-type Article (original research)
DOI 10.1016/j.datak.2005.07.007
Volume 58
Issue 3
Start page 358
End page 380
Total pages 23
Editor P. P. Chen
Place of publication Netherlands
Publisher Elsevier BV, North-Holland
Collection year 2006
Language eng
Subject C1
280111 Conceptual Modelling
780199 Other
0806 Information Systems
Abstract Much research has been devoted over the years to investigating and advancing the techniques and tools used by analysts when they model. As opposed to what academics, software providers and their resellers promote as should be happening, the aim of this research was to determine whether practitioners still embraced conceptual modeling seriously. In addition, what are the most popular techniques and tools used for conceptual modeling? What are the major purposes for which conceptual modeling is used? The study found that the top six most frequently used modeling techniques and methods were ER diagramming, data flow diagramming, systems flowcharting, workflow modeling, UML, and structured charts. Modeling technique use was found to decrease significantly from smaller to medium-sized organizations, but then to increase significantly in larger organizations (proxying for large, complex projects). Technique use was also found to significantly follow an inverted U-shaped curve, contrary to some prior explanations. Additionally, an important contribution of this study was the identification of the factors that uniquely influence the decision of analysts to continue to use modeling, viz., communication (using diagrams) to/from stakeholders, internal knowledge (lack of) of techniques, user expectations management, understanding models' integration into the business, and tool/software deficiencies. The highest ranked purposes for which modeling was undertaken were database design and management, business process documentation, business process improvement, and software development. (c) 2005 Elsevier B.V. All rights reserved.
Keyword Computer Science, Artificial Intelligence
Computer Science, Information Systems
Conceptual Modeling
Business Systems Analysis
Modeling Techniques
Modeling Tools
Project Size
Modeler Experience
Development Methodologies
Information-systems
Adoption
Design
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
2007 Higher Education Research Data Collection
UQ Business School Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 126 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 225 times in Scopus Article | Citations
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Created: Wed, 15 Aug 2007, 05:34:20 EST