Date of Award

Summer 2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Engineering Management & Systems Engineering

Program/Concentration

Engineering Management and Systems Engineering

Committee Director

Charles Keating

Committee Member

Pilar Pazos

Committee Member

Resit Unal

Committee Member

Randy Walker

Abstract

Within the Complex System Governance (CSG) paradigm, system performance is regulated by nine metasystem governance functions, which provide control, communication, coordination, and integration. However, CSG has lacked a fully developed model or language to richly articulate system performance at a conceptual level. The purpose of this research was to develop a systems theory-based conceptual framework to measure the performance of CSG metasystem governance using an inductive research design.

Although ‘good performance’ may seem like an obvious idea, the current literature on performance measurement across many disciplines and contexts contains vastly inconsistent uses of the word ‘performance.’ Both researchers and practitioners alike continue to struggle to define ‘good’ system performance.

Grounded in an extensive review of the literature on systems theory, performance measurement systems, and complex system governance, this research shows that the most impactful driver of complex system performance is the purposeful design and development of the metasystem governance functions articulated in the CSG framework. While each body of literature is vitally important, they are also incomplete in fully articulating the drivers of holistic system performance.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

DOI

10.25777/90t9-8p40

ISBN

9798384444206

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