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Improving the Quality of Conceptual Modeling Using Cognitive Mapping Techniques
Data and Knowledge Engineering

 

Co-authored with Tan, X.

Conceptual modeling involves the understanding and communication between system analysts and end users. Human cognition, therefore, plays a pivotal role in conceptual modeling and cognitive mapping techniques are effective tools to elicit and represent human cognition. In this research, we look at the use of cognitive mapping techniques to improve the quality of conceptual modeling. We review frameworks on quality in conceptual modeling and review related literature on the role of human cognition in conceptual modeling. We review cognition at both the individual level and socio-cognitive level. The paper also discusses how human cognition is related to quality in conceptual modeling, discusses the various cognitive mapping techniques, and how these cognitive mapping techniques can be used in conceptual modeling. In addition, the paper describes ways of incorporating cognitive mapping techniques to popular systems development methodologies such as Ethics, Soft Systems Methodology, and Unified Process to improve the quality of information systems development.
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About the Researcher
Keng L. Siau
E.J. Faulkner Professor of MIS and Full Professor of Management Editor-in-Chief, Journal of Database Management North America Regional Editor, Requirements Engineering Co-Editor-in-Chief, Advances in Database Research Book Series Director, UNL-IBM Global Innovation Hub

Department: Management

Professor Keng Siau received his Ph.D. degree in Business Administration in 1996 from the University of British Columbia (UBC) (in Vancouver, Canada) where he majored in Management Information Systems (MIS) and minored in Cognitive Psychology. UBC is a top research university in Canada and consistently ranked as one of the best research schools in the world. Professor Siau's M.S. and B.S. (Hons) degrees are in Information and Computer Sciences from the National University of Singapore, which is ranked as one of the top 30 universities in the world by The QS World University Rankings.

Professor Siau is serving as the Editor-in-Chief of the top-ranked Journal of Database Management, which has an impact factor of 2.0 and an immediacy index of 1.368. Professor Siau is also the North America Regional Editor of the Requirements Engineering journal, which has an impact factor of 1.625.


 



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