Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda.

Author List: Wand, Yair; Weber, Ron;
Information Systems Research, 2002, Volume 13, Issue 4, Page 363-376.
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.
Keywords: Conceptual Modeling; Information Systems Development; Ontology
Algorithm:

List of Topics

#127 0.229 systems information research theory implications practice discussed findings field paper practitioners role general important key grounded researchers domain new identified
#184 0.200 modeling models model business research paradigm components using representation extension logical set existing way aspects issues current integrated languages traditional
#138 0.141 use question opportunities particular identify information grammars researchers shown conceptual ontological given facilitate new little constraints dual answer post-adoption theory
#125 0.094 framework model used conceptual proposed given particular general concept frameworks literature developed develop providing paper developing guidelines concepts appropriate set
#251 0.068 implementation erp enterprise systems resource planning outcomes support business associated understanding benefits implemented advice key implementing scope functional post-implementation implementations
#96 0.062 errors error construction testing spreadsheet recovery phase spreadsheets number failures inspection better studies modules rate replicated detection correction optimal discovering