Activity modeling and behavior modeling
Proc. of the IFIP WG 8.1 working conference on Information systems design methodologies: improving the practice
Critical issues in information systems research
A proposal for a formal model of objects
Object-oriented concepts, databases, and applications
An Ontological Model of an Information System
IEEE Transactions on Software Engineering
An Automated Approach to Information Systems Decomposition
IEEE Transactions on Software Engineering
Object-oriented modeling and design
Object-oriented modeling and design
Systems analysis and design: a research strategy macro-analysis
Challenges and strategies for research in systems development
Analysing the novice analyst: cognitive models in software engineering
International Journal of Man-Machine Studies
International Journal of Man-Machine Studies
Conceptual modelling based on ontological principles
Knowledge Acquisition
Object-oriented analysis and design with applications (2nd ed.)
Object-oriented analysis and design with applications (2nd ed.)
Requirements specification: learning object, process, and data methodologies
Communications of the ACM
Understanding Quality in Conceptual Modeling
IEEE Software
Comparing data modeling formalisms
Communications of the ACM
A speech-act-based office modeling approach
ACM Transactions on Information Systems (TOIS)
Using objects for systems analysis
Communications of the ACM
The Unified Modeling Language user guide
The Unified Modeling Language user guide
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
An ontological analysis of the relationship construct in conceptual modeling
ACM Transactions on Database Systems (TODS)
Understanding software operations support expertise: a revealed causal mapping approach
MIS Quarterly - Special issue on Intensive research in information systems: using qualitative, interpretive, and case methods to study information technology—third installment
Information Systems Methodologies
Information Systems Methodologies
Teleology as Higher-Order Causation: A Situation-Theoretic Account
Minds and Machines
IEEE Software
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Information Systems Research
A Formal Approach to Workflow Analysis
Information Systems Research
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda
Information Systems Research
Representing composites in conceptual modeling
Communications of the ACM - Has the Internet become indispensable?
Empirical comparisons of animation and narration in requirements validation
Requirements Engineering
Cognitive fit in requirements modeling: a study of object and process methodologies
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Information Systems Research
The Use of Cognitive Maps and Case-Based Reasoning for B2B Negotiation
Journal of Management Information Systems
Unified Modeling Language Reference Manual
Unified Modeling Language Reference Manual
A dynamic fuzzy cognitive map applied to chemical process supervision
Engineering Applications of Artificial Intelligence
Hi-index | 12.06 |
This study has been started from question ''Is there a methodology that can make causal map comprised of causality as a database by using conceptual modeling method?'' In this research, causal map is proposed to represent causal relation by using conceptual modeling method. Therefore, we formalize causality as a cognitive rule to allow us to control changes in the decision making environment. Such causality is embedded in the real world (application domain). And, user (decision maker) use to represent set of causality which decision-makers have retrieved from the set of knowledge or experiences in application domain. Such set of causality that decision-makers possess in their know-how and short (long) term memory are usually formalized by causal map. It is verified for users whether this causal map is helpful in solving their problems. By extending the basis of conceptual modeling theory (ontology theory, classification theory, decomposition theory, and semantic network theory), we introduce a concept of causal entity diagram and address why causal map is needed to analyze a specific domain knowledge for given decision problem solving. Finally, object oriented causal map (O2CM) were employed to verify usefulness of causal map for user (decision maker) in this study.