In Press : Articles and Book Chapters
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A population ecology of network domains
Public Management Review (2023)
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Networked supply chains: Examining the costs of Lake Michigan Drinking Water
Illinois Municipal Policy Journal (2023)
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Shapeshifting to address complexity: Advancing a typology of network evolution and transformation
Complexity, Networks, and Governance (2022)
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Co-management during crisis: insights from jurisdictionally complex wildfires
International Journal of Wildland Fire (2022)
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Collaborative value in public and nonprofit strategic alliances: Evidence from transition coaching
Administration & Society (2020)
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A reviewer’s guide to qualitative rigor
Journal of Public Administration Research and Theory (2019)
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Perceptions of nonprofits and for-profit social enterprises: Current trends and future implications
Journal of Nonprofit Education and Leadership (2018)
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Institutional Logics and Accountability: An Integrated Framework
Journal of Public and Nonprofit Affairs (2018)
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Studying networks in complex problem domains: Advancing methods in boundary specification
Perspectives on Public Management and Governance (2018)
In Press : Book Chapters
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Inductive Survey Research
To be published in Ford, L & Scandura, T., Sage Handbook of Survey Development and Application. Sage. (2023)
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Performance Management
To be published in Managing Human Resources in Kuenzi. K. & Stewart, A., Nonprofit Sector Human Resource Management: Equipping Organizations to be Democratic, Diverse, Inclusive, and Employee-Friendly. Sagamore Press (2022)
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Longitudinal Network Analysis with RSiena
Published as an online supplement in Garson, D. G., Data Analytics for the Social Sciences: Applications in R. Routledge. (2021)
2019 Disseration
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Understanding network evolution: Comparing and integrating phenomenological, configurational, and main effect methodologies
Attention continues to remain focused on the nature of collaborative forms of interorganizational networks in both research and practice in Public Administration (Bryson, Crosby, & Stone, 2015; Isett, Mergel, LeRoux, Mischen, & Rethemeyer, 2011). This dissertation joins that tradition but also advances a call for theory to begin moving beyond the internal perspective and to embrace new research agendas that consider the network itself as the level of analysis. Despite broad application of collective network approaches in practice, theory development for understanding this phenomenon has fallen behind practice, motivating calls for greater attention to research in this area of collaborative network evolution (Milward, 2016). While there has been some discussion of looking at the nature of a network as a whole to advance an exogenous theory of understanding performance (Kenis & Provan, 2009), little has been done to examine the evolution of networks within and across forms.
The substantive purpose of this research is to advance evolution theories at the network level of analysis. To accomplish this goal, this dissertation addresses the foundational stages of theory building and exploration of appropriate methods. The research question guiding this dissertation is: How can our understanding and application of network evolution theories be advanced through the integration of three methodologies for studying dynamic networks, including phenomenological, configurational, and main effect approaches? This dissertation utilizes three distinct methods to consider how a network’s origin (e.g., primary funding source, policy mandates), capacity (e.g., dedicated staff, governance structure), and network domain dynamics (e.g., shared membership, the presence of competing initiatives) affect its chances of survival, death, or transformation over time.
