Formal ontology, conceptual analysis and knowledge representation
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Support for the sense-making activity of managers
Decision Support Systems - Knowledge management support of decision making
Knowledge Processes and Ontologies
IEEE Intelligent Systems
Eliciting Conceptual Models to Support Interdisciplinary Research
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
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The main advantage to interdisciplinary professional practice is that it can produce novel product designs and problem solutions. However, it requires knowledge sharing and integration to leverage this potential. This paper reports on a study with a method of conceptual analysis to elicit, analyse and compare conceptual models used by individual researchers, with the ultimate aim to facilitate researchers in sharing and integrating their conceptual notions. We build on an earlier study by extending an existing conceptual model with conceptual notions from two additional researchers from an interdisciplinary research project. The results of the present study suggest that the time costs of adding more information to the existing model diminish with each addition to the existing model, and that the method of conceptual analysis can validly represent researchers' conceptual notions. Furthermore, our results offer some indication that conceptual analysis can reduce transaction costs related to grounding.