Managers of aerospace technology programs and projects are faced with the challenge of making technology portfolio decisions under conditions of limited data, rapidly changing macro level factors and organizational uncertainties. To help make these technology investment decisions, some aerospace managers and analysts have used techniques from the field of decision analysis. In addition, there have been a limited number of research studies of real decision problems.
This dissertation presents the results of a non-experimental examination of the use of decision analysis methods for the assessment of aerospace technology portfolios. A web-based survey instrument was developed based on the results of a pilot study conducted using cognitive interviewing techniques. Quantitative data was collected from government and industry aerospace researchers and managers with experience in research and/or with the development of aerospace technology portfolios and the completion of their assessments. Structural equation modeling techniques were used to test the study hypotheses. Conclusions were drawn and recommendations were made for future research.
","abstract_html":"<p>Managers of aerospace technology programs and projects are faced with the challenge of making technology portfolio decisions under conditions of limited data, rapidly changing macro level factors and organizational uncertainties. To help make these technology investment decisions, some aerospace managers and analysts have used techniques from the field of decision analysis. In addition, there have been a limited number of research studies of real decision problems.</p> <p>This dissertation presents the results of a non-experimental examination of the use of decision analysis methods for the assessment of aerospace technology portfolios. A web-based survey instrument was developed based on the results of a pilot study conducted using cognitive interviewing techniques. Quantitative data was collected from government and industry aerospace researchers and managers with experience in research and/or with the development of aerospace technology portfolios and the completion of their assessments. Structural equation modeling techniques were used to test the study hypotheses. Conclusions were drawn and recommendations were made for future research.</p>","abstract_has_math":false,"creators":["Jones, Sharon Monica"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Engineering Management & Systems Engineering","degree_department":null,"school":null,"contributors":["Rafael Landaeta","C. Ariel Pinto","Resit Unal","James T. Luxhoj"],"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":["Aerospace technology","Decision analysis","Portfolios","Aerospace Engineering","Industrial Engineering","Mathematics","Systems Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9781109368871"],"render_values":[{"text":"9781109368871","href":null,"code":true}]}]},"links":{"outbound_url":"https://digitalcommons.odu.edu/emse_etds/84","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Rafael Landaeta","C. Ariel Pinto","Resit Unal","James T. Luxhoj"]},{"key":"dc:creator","label":"Author","values":["Jones, Sharon Monica"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2019-03-15T07:00:00Z"]},{"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":["Aerospace technology","Decision analysis","Portfolios","Aerospace Engineering","Industrial Engineering","Mathematics","Systems Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["9781109368871","https://digitalcommons.odu.edu/emse_etds/84"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Managers of aerospace technology programs and projects are faced with the challenge of making technology portfolio decisions under conditions of limited data, rapidly changing macro level factors and organizational uncertainties. To help make these technology investment decisions, some aerospace managers and analysts have used techniques from the field of decision analysis. In addition, there have been a limited number of research studies of real decision problems.
This dissertation presents the results of a non-experimental examination of the use of decision analysis methods for the assessment of aerospace technology portfolios. A web-based survey instrument was developed based on the results of a pilot study conducted using cognitive interviewing techniques. Quantitative data was collected from government and industry aerospace researchers and managers with experience in research and/or with the development of aerospace technology portfolios and the completion of their assessments. Structural equation modeling techniques were used to test the study hypotheses. Conclusions were drawn and recommendations were made for future research.
"]},{"key":"dc:title","label":"Title","values":["A Study of Decision Analysis Methods in Aerospace Technology Assessments"]}]}],"canonical_facts":{"dc:contributor":["Rafael Landaeta","C. Ariel Pinto","Resit Unal","James T. Luxhoj"],"dc:creator":["Jones, Sharon Monica"],"dc:date.available":["2019-03-15T07:00:00Z"],"dc:description.abstract":["Managers of aerospace technology programs and projects are faced with the challenge of making technology portfolio decisions under conditions of limited data, rapidly changing macro level factors and organizational uncertainties. To help make these technology investment decisions, some aerospace managers and analysts have used techniques from the field of decision analysis. In addition, there have been a limited number of research studies of real decision problems.
This dissertation presents the results of a non-experimental examination of the use of decision analysis methods for the assessment of aerospace technology portfolios. A web-based survey instrument was developed based on the results of a pilot study conducted using cognitive interviewing techniques. Quantitative data was collected from government and industry aerospace researchers and managers with experience in research and/or with the development of aerospace technology portfolios and the completion of their assessments. Structural equation modeling techniques were used to test the study hypotheses. Conclusions were drawn and recommendations were made for future research.
"],"dc:identifier":["9781109368871","https://digitalcommons.odu.edu/emse_etds/84"],"dc:subject":["Aerospace technology","Decision analysis","Portfolios","Aerospace Engineering","Industrial Engineering","Mathematics","Systems Engineering"],"dc:title":["A Study of Decision Analysis Methods in Aerospace Technology Assessments"],"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"}