This work formulates an analytical framework and computational model for assessing risk in engineering enterprise systems. It addresses the engineering management problem of how to represent, model, and measure risk in large-scale, complex systems engineered to function in enterprise-wide environments.
The research in this dissertation extends current practice in the management of risk for traditional systems and creates new constructs and protocols for the management of risk in engineering large-scale, complex, and highly networked enterprise systems. This work advances engineering management theory and analytic practice as applied to the measurement and management of risk for enterprise systems engineered within capability portfolio paradigms.
","abstract_html":"<p>This work formulates an analytical framework and computational model for assessing risk in engineering enterprise systems. It addresses the engineering management problem of how to represent, model, and measure risk in large-scale, complex systems engineered to function in enterprise-wide environments.</p> <p>The research in this dissertation extends current practice in the management of risk for traditional systems and creates new constructs and protocols for the management of risk in engineering large-scale, complex, and highly networked enterprise systems. This work advances engineering management theory and analytic practice as applied to the measurement and management of risk for enterprise systems engineered within capability portfolio paradigms.</p>","abstract_has_math":false,"creators":["Garvey, Paul Raphael"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Engineering Management & Systems Engineering","degree_department":null,"school":null,"contributors":["C. Ariel Pinto","Charles B. Keating","Resit Unal","Joost R. Santos"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009-07-01T07:00:00Z","date_published":"2009-07-01T07:00:00Z","updated_at":"2026-07-24T03:34:25Z","subjects":["Engineering enterprise systems","Engineering management","Program management","Risk management","Industrial Engineering","Operational Research","Systems Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9781109331325"],"render_values":[{"text":"9781109331325","href":null,"code":true}]}]},"links":{"outbound_url":"https://digitalcommons.odu.edu/emse_etds/65","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["C. Ariel Pinto","Charles B. Keating","Resit Unal","Joost R. Santos"]},{"key":"dc:creator","label":"Author","values":["Garvey, Paul Raphael"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2019-03-14T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering Management & Systems Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering enterprise systems","Engineering management","Program management","Risk management","Industrial Engineering","Operational Research","Systems Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["9781109331325","https://digitalcommons.odu.edu/emse_etds/65"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This work formulates an analytical framework and computational model for assessing risk in engineering enterprise systems. It addresses the engineering management problem of how to represent, model, and measure risk in large-scale, complex systems engineered to function in enterprise-wide environments.
The research in this dissertation extends current practice in the management of risk for traditional systems and creates new constructs and protocols for the management of risk in engineering large-scale, complex, and highly networked enterprise systems. This work advances engineering management theory and analytic practice as applied to the measurement and management of risk for enterprise systems engineered within capability portfolio paradigms.
"]},{"key":"dc:title","label":"Title","values":["An Analytical Framework and Model Formulation for Measuring Risk in Engineering Enterprise Systems: A Capability Portfolio Perspective"]}]}],"canonical_facts":{"dc:contributor":["C. Ariel Pinto","Charles B. Keating","Resit Unal","Joost R. Santos"],"dc:creator":["Garvey, Paul Raphael"],"dc:date.available":["2019-03-14T07:00:00Z"],"dc:description.abstract":["This work formulates an analytical framework and computational model for assessing risk in engineering enterprise systems. It addresses the engineering management problem of how to represent, model, and measure risk in large-scale, complex systems engineered to function in enterprise-wide environments.
The research in this dissertation extends current practice in the management of risk for traditional systems and creates new constructs and protocols for the management of risk in engineering large-scale, complex, and highly networked enterprise systems. This work advances engineering management theory and analytic practice as applied to the measurement and management of risk for enterprise systems engineered within capability portfolio paradigms.
"],"dc:identifier":["9781109331325","https://digitalcommons.odu.edu/emse_etds/65"],"dc:subject":["Engineering enterprise systems","Engineering management","Program management","Risk management","Industrial Engineering","Operational Research","Systems Engineering"],"dc:title":["An Analytical Framework and Model Formulation for Measuring Risk in Engineering Enterprise Systems: A Capability Portfolio Perspective"],"thesis:degree_discipline":["Engineering Management & Systems Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T03:34:25Z"}