Multimedia Systems
A Framework for Modeling Strategy, Business Processes and Information Systems
EDOC '01 Proceedings of the 5th IEEE International Conference on Enterprise Distributed Object Computing
Extending checkland's phenomenological approach to information systems
Critical reflections on information systems
Using Organizational Modeling to Evaluate Health Care IS/IT Projects
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 6 - Volume 6
Management Information Systems: Managing the Digital Firm (10th Edition)
Management Information Systems: Managing the Digital Firm (10th Edition)
Epistemological perspectives on ontology-based theories for conceptual modeling
Applied Ontology - Ontological Foundations of Conceptual Modelling
Enterprise Architecture at Work: Modelling, Communication, and Analysis
Enterprise Architecture at Work: Modelling, Communication, and Analysis
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In the past decade, the rush to technology has created several flaws in terms of managing computers, applications, and middleware and information systems. Therefore, organizations struggle to understand how these elements behave. Even today, as Enterprise Architectures grow in significance and are acknowledged as advantageous artifacts to help manage change, their benefit to the organization has yet to be fully explored. In this paper, the authors focus on the challenge of real-time information systems evaluation, using the enterprise architecture as a boundary object and a base for communication. The solution proposed is comprised of five major steps: establishing a strong conceptual base on the evaluation of information systems, defining a high level language for this activity, extending an architecture creation pipeline, creating a framework that automates it, and the framework's implementation. The conceptual framework proposed avoids imprecise definitions of quality and quality attributes, was materialized in a model-eval-display loop framework, and was implemented using Model Driven Software Development practices and tools. Finally, a prototype is applied to a real-world scenario to verify the conceptual solution in practice.