Axiomatic foundation of the analytic hierarchy process
Management Science
Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Operations Research
Probabilistic inference and influence diagrams
Operations Research
The productivity paradox of information technology
Communications of the ACM
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
Learning Bayesian Networks
Enterprise architecture analysis with extended influence diagrams
Information Systems Frontiers
EAF2- A Framework for Categorizing Enterprise Architecture Frameworks
SNPD '09 Proceedings of the 2009 10th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing
Enterprise Architecture at Work: Modelling, Communication, and Analysis
Enterprise Architecture at Work: Modelling, Communication, and Analysis
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The impact IT systems have on organizations is widely debated, both in academia and industry. This paper describes a quantitative framework for analyzing organizational impact from IT systems. The framework consists of an abstract model that is a metamodel suitable for expressing organizational structure incorporated with an extended influence diagram for analysis. The purpose is to create enterprise architecture (EA) models that can be used for analysis of the enterprise. The framework has been validated through a case study where the framework has been used to analyze the changes in organizational structure after the introduction of an IT system.