Performance measurement is utilized by organizations in all industries, including research and development (R&D). Measures are developed, data are collected, and the measurement results are used to drive the organization. The implicit hope is, of course, that the measures drive the organization to improve. However, literature identifies high failure rates directly related to performance measurement system (PMS) implementations. Establishing the fundamental operational characteristics associated with successful PMSs would provide a significant contribution towards the establishment of PMS assessment criteria. This research addresses this gap through the use of a grounded theory method employed to identify these operational characteristics, assesses the findings against systems theory concepts, and produces a practical assessment framework for R&D PMSs.
A grounded theory method was used to identify a theoretical construct of operational characteristics. These operational characteristics were then compared to systems theory axioms and principles to evaluate them in terms of systems complexity. These two steps provided a comprehensive basis for a systems-based assessment of R&D PMS implementations. Finally, the research introduces a framework for assessment, using maturity levels, as a practical contribution by aligning the theoretically-derived operational characteristics and an adaptation of the Capability Maturity Model. The systems-based R&D PMS implementation assessment framework provides practitioners with a means to assess the current state of their PMS implementation and provides guidance needed for them to improve their PMS.
","abstract_html":"<p>Performance measurement is utilized by organizations in all industries, including research and development (R&D). Measures are developed, data are collected, and the measurement results are used to drive the organization. The implicit hope is, of course, that the measures drive the organization to improve. However, literature identifies high failure rates directly related to performance measurement system (PMS) implementations. Establishing the fundamental operational characteristics associated with successful PMSs would provide a significant contribution towards the establishment of PMS assessment criteria. This research addresses this gap through the use of a grounded theory method employed to identify these operational characteristics, assesses the findings against systems theory concepts, and produces a practical assessment framework for R&D PMSs.</p> <p>A grounded theory method was used to identify a theoretical construct of operational characteristics. These operational characteristics were then compared to systems theory axioms and principles to evaluate them in terms of systems complexity. These two steps provided a comprehensive basis for a systems-based assessment of R&D PMS implementations. Finally, the research introduces a framework for assessment, using maturity levels, as a practical contribution by aligning the theoretically-derived operational characteristics and an adaptation of the Capability Maturity Model. The systems-based R&D PMS implementation assessment framework provides practitioners with a means to assess the current state of their PMS implementation and provides guidance needed for them to improve their PMS.</p>","abstract_has_math":false,"creators":["Baggett, Kenneth S., Jr."],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Engineering Management & Systems Engineering","degree_department":null,"school":null,"contributors":["Patrick T. Hester","Charles B. Keating","Pilar Pazos-Lago","Thomas Meyers"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-04-01T07:00:00Z","date_published":"2014-04-01T07:00:00Z","updated_at":"2026-07-24T03:34:18Z","subjects":["Metrics","Performance measurement","Performance measurement systems","Systems theory","Business Administration, Management, and Operations","Organizational Behavior and Theory","Systems Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9781321012354"],"render_values":[{"text":"9781321012354","href":null,"code":true}]}]},"links":{"outbound_url":"https://digitalcommons.odu.edu/emse_etds/53","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Patrick T. Hester","Charles B. Keating","Pilar Pazos-Lago","Thomas Meyers"]},{"key":"dc:creator","label":"Author","values":["Baggett, Kenneth S., Jr."]}]},{"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":["Metrics","Performance measurement","Performance measurement systems","Systems theory","Business Administration, Management, and Operations","Organizational Behavior and Theory","Systems Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["9781321012354","https://digitalcommons.odu.edu/emse_etds/53"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Performance measurement is utilized by organizations in all industries, including research and development (R&D). Measures are developed, data are collected, and the measurement results are used to drive the organization. The implicit hope is, of course, that the measures drive the organization to improve. However, literature identifies high failure rates directly related to performance measurement system (PMS) implementations. Establishing the fundamental operational characteristics associated with successful PMSs would provide a significant contribution towards the establishment of PMS assessment criteria. This research addresses this gap through the use of a grounded theory method employed to identify these operational characteristics, assesses the findings against systems theory concepts, and produces a practical assessment framework for R&D PMSs.
A grounded theory method was used to identify a theoretical construct of operational characteristics. These operational characteristics were then compared to systems theory axioms and principles to evaluate them in terms of systems complexity. These two steps provided a comprehensive basis for a systems-based assessment of R&D PMS implementations. Finally, the research introduces a framework for assessment, using maturity levels, as a practical contribution by aligning the theoretically-derived operational characteristics and an adaptation of the Capability Maturity Model. The systems-based R&D PMS implementation assessment framework provides practitioners with a means to assess the current state of their PMS implementation and provides guidance needed for them to improve their PMS.
"]},{"key":"dc:title","label":"Title","values":["A Systems-Based Framework for the Assessment of Performance Measurement System Implementations in R&D Organizations"]}]}],"canonical_facts":{"dc:contributor":["Patrick T. Hester","Charles B. Keating","Pilar Pazos-Lago","Thomas Meyers"],"dc:creator":["Baggett, Kenneth S., Jr."],"dc:date.available":["2019-03-14T07:00:00Z"],"dc:description.abstract":["Performance measurement is utilized by organizations in all industries, including research and development (R&D). Measures are developed, data are collected, and the measurement results are used to drive the organization. The implicit hope is, of course, that the measures drive the organization to improve. However, literature identifies high failure rates directly related to performance measurement system (PMS) implementations. Establishing the fundamental operational characteristics associated with successful PMSs would provide a significant contribution towards the establishment of PMS assessment criteria. This research addresses this gap through the use of a grounded theory method employed to identify these operational characteristics, assesses the findings against systems theory concepts, and produces a practical assessment framework for R&D PMSs.
A grounded theory method was used to identify a theoretical construct of operational characteristics. These operational characteristics were then compared to systems theory axioms and principles to evaluate them in terms of systems complexity. These two steps provided a comprehensive basis for a systems-based assessment of R&D PMS implementations. Finally, the research introduces a framework for assessment, using maturity levels, as a practical contribution by aligning the theoretically-derived operational characteristics and an adaptation of the Capability Maturity Model. The systems-based R&D PMS implementation assessment framework provides practitioners with a means to assess the current state of their PMS implementation and provides guidance needed for them to improve their PMS.
"],"dc:identifier":["9781321012354","https://digitalcommons.odu.edu/emse_etds/53"],"dc:subject":["Metrics","Performance measurement","Performance measurement systems","Systems theory","Business Administration, Management, and Operations","Organizational Behavior and Theory","Systems Engineering"],"dc:title":["A Systems-Based Framework for the Assessment of Performance Measurement System Implementations in R&D Organizations"],"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"}