Optimizing operational organizational effectiveness is the central, although often unstated, goal of engineering management and systems engineering research and applications. Two fundamental problems remain to be addressed in pursuit of this goal. First, despite over fifty years of research in various disciplines, there is still no universally accepted definition of organizational effectiveness. Second, no methodology exists to identify the domains, dimensions, and determinants of operational organizational effectiveness and dynamically model operational organizational effectiveness within a given population.
This research synthesizes a systems engineering methodology for identifying the domains, dimensions, and determinants of and dynamically modeling operational organizational effectiveness for an identified population. First, the methodology takes the concept of the niche from ecological theory as its definition of effectiveness. Specifically, an organization that is able to sustain a real nonnegative growth rate in its niche dimension under a set of competitive conditions is defined as being effective. Next, the methodology integrates organizational ecology and open systems theories, principles, and models into a unified systemic model of environmental and organizational domains and dimensions that provide the structure for research into the determinants of organizational effectiveness. Based on this model, the methodology gathers observable data on hypothesized determinants of effectiveness and applies event history survival and effectiveness analyses to identify the statistically significant determinants. The methodology's final two steps are to construct and validate a dynamic simulation model of organizational effectiveness based on the identified determinants and to perform sensitivity analyses.
","abstract_html":"<p>Optimizing operational organizational effectiveness is the central, although often unstated, goal of engineering management and systems engineering research and applications. Two fundamental problems remain to be addressed in pursuit of this goal. First, despite over fifty years of research in various disciplines, there is still no universally accepted definition of organizational effectiveness. Second, no methodology exists to identify the domains, dimensions, and determinants of operational organizational effectiveness and dynamically model operational organizational effectiveness within a given population.</p> <p>This research synthesizes a systems engineering methodology for identifying the domains, dimensions, and determinants of and dynamically modeling operational organizational effectiveness for an identified population. First, the methodology takes the concept of the niche from ecological theory as its definition of effectiveness. Specifically, an organization that is able to sustain a real nonnegative growth rate in its niche dimension under a set of competitive conditions is defined as being effective. Next, the methodology integrates organizational ecology and open systems theories, principles, and models into a unified systemic model of environmental and organizational domains and dimensions that provide the structure for research into the determinants of organizational effectiveness. Based on this model, the methodology gathers observable data on hypothesized determinants of effectiveness and applies event history survival and effectiveness analyses to identify the statistically significant determinants. The methodology's final two steps are to construct and validate a dynamic simulation model of organizational effectiveness based on the identified determinants and to perform sensitivity analyses.</p>","abstract_has_math":false,"creators":["Cotter, Teddy Steven"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Engineering Management & Systems Engineering","degree_department":null,"school":null,"contributors":["Andres Sousa-Poza","Resit Unal","Ghaith Rabadi","Guerry Grune"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2005,"date_issued":"2005-04-01T08:00:00Z","date_published":"2005-04-01T08:00:00Z","updated_at":"2026-07-24T03:34:18Z","subjects":["Computer manufacturing","Cybernetics","Organization effectiveness","Original equipment","Computer Engineering","Industrial Engineering","Operational Research","Systems Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9780542157387"],"render_values":[{"text":"9780542157387","href":null,"code":true}]}]},"links":{"outbound_url":"https://digitalcommons.odu.edu/emse_etds/57","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Andres Sousa-Poza","Resit Unal","Ghaith Rabadi","Guerry Grune"]},{"key":"dc:creator","label":"Author","values":["Cotter, Teddy Steven"]}]},{"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":["Computer manufacturing","Cybernetics","Organization effectiveness","Original equipment","Computer Engineering","Industrial Engineering","Operational Research","Systems Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["9780542157387","https://digitalcommons.odu.edu/emse_etds/57"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Optimizing operational organizational effectiveness is the central, although often unstated, goal of engineering management and systems engineering research and applications. Two fundamental problems remain to be addressed in pursuit of this goal. First, despite over fifty years of research in various disciplines, there is still no universally accepted definition of organizational effectiveness. Second, no methodology exists to identify the domains, dimensions, and determinants of operational organizational effectiveness and dynamically model operational organizational effectiveness within a given population.
This research synthesizes a systems engineering methodology for identifying the domains, dimensions, and determinants of and dynamically modeling operational organizational effectiveness for an identified population. First, the methodology takes the concept of the niche from ecological theory as its definition of effectiveness. Specifically, an organization that is able to sustain a real nonnegative growth rate in its niche dimension under a set of competitive conditions is defined as being effective. Next, the methodology integrates organizational ecology and open systems theories, principles, and models into a unified systemic model of environmental and organizational domains and dimensions that provide the structure for research into the determinants of organizational effectiveness. Based on this model, the methodology gathers observable data on hypothesized determinants of effectiveness and applies event history survival and effectiveness analyses to identify the statistically significant determinants. The methodology's final two steps are to construct and validate a dynamic simulation model of organizational effectiveness based on the identified determinants and to perform sensitivity analyses.
"]},{"key":"dc:title","label":"Title","values":["A Systems Methodology for Measuring Operational Organization Effectiveness: A Study of the Original Equipment Computer Manufacturing Industry, 1948 to 2001"]}]}],"canonical_facts":{"dc:contributor":["Andres Sousa-Poza","Resit Unal","Ghaith Rabadi","Guerry Grune"],"dc:creator":["Cotter, Teddy Steven"],"dc:date.available":["2019-03-14T07:00:00Z"],"dc:description.abstract":["Optimizing operational organizational effectiveness is the central, although often unstated, goal of engineering management and systems engineering research and applications. Two fundamental problems remain to be addressed in pursuit of this goal. First, despite over fifty years of research in various disciplines, there is still no universally accepted definition of organizational effectiveness. Second, no methodology exists to identify the domains, dimensions, and determinants of operational organizational effectiveness and dynamically model operational organizational effectiveness within a given population.
This research synthesizes a systems engineering methodology for identifying the domains, dimensions, and determinants of and dynamically modeling operational organizational effectiveness for an identified population. First, the methodology takes the concept of the niche from ecological theory as its definition of effectiveness. Specifically, an organization that is able to sustain a real nonnegative growth rate in its niche dimension under a set of competitive conditions is defined as being effective. Next, the methodology integrates organizational ecology and open systems theories, principles, and models into a unified systemic model of environmental and organizational domains and dimensions that provide the structure for research into the determinants of organizational effectiveness. Based on this model, the methodology gathers observable data on hypothesized determinants of effectiveness and applies event history survival and effectiveness analyses to identify the statistically significant determinants. The methodology's final two steps are to construct and validate a dynamic simulation model of organizational effectiveness based on the identified determinants and to perform sensitivity analyses.
"],"dc:identifier":["9780542157387","https://digitalcommons.odu.edu/emse_etds/57"],"dc:subject":["Computer manufacturing","Cybernetics","Organization effectiveness","Original equipment","Computer Engineering","Industrial Engineering","Operational Research","Systems Engineering"],"dc:title":["A Systems Methodology for Measuring Operational Organization Effectiveness: A Study of the Original Equipment Computer Manufacturing Industry, 1948 to 2001"],"thesis:degree_discipline":["Engineering Management & Systems Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T03:34:18Z"}