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Indiana University

Chris Edward Silvia


Public Affairs

Exam and Minor Fields:

Major: Public Management & Public Policy Analysis
Minor: Sociology

Special Skills and/or Knowledge Base:

  • Public Management
  • Leadership
  • Organizational Behavior
  • Networks and Collaboration

Dissertation Title:

An Examination of Managerial and Leadership Behavior in Intersectoral Networks

Dissertation Committee:

  • Michael McGuire (Chair)
  • Robert Agranoff
  • Sergio Fernandez
  • Beth Gazley

Current Dissertation Progress and Expected Defense Date:

Progress: My survey has been fielded, the data has been collected, and approximately 75% of the analysis has been completed.

Expected Defense Date: April 2010

Dissertation Abstract:

The field of public management has experienced a shift toward a collaborative network model for program formulation, planning, and service delivery. This change in structure has resulted in public managers finding themselves leading intersectoral networks. This environment differs greatly from a traditional, bureaucratic structure and therefore, as the literature suggests, requires different types of leadership behaviors than leadership in a hierarchical setting. Although a growing body of literature frequently mentions the need for and the rise of collaborative leadership in public administration and management, very little empirical research has been conducted to identify the behaviors associated with this emerging leadership paradigm, to uncover the impact of these leadership behaviors on the perceptions of network effectiveness, or to explore how leadership is exhibited in a shared-power context.

To answer these questions I will use data collected from a survey that I wrote and administered to county emergency managers across the country. Respondent were asked how frequently they engage in 35 leadership behaviors while leading their government agency and then asked how frequently they engage in those same behaviors while leading their network. They were also asked questions regarding agency and network effectiveness and other demographic and organizational structure questions. The data will be analyzed using difference of means, ordered logistic regression, and substantively weighted analytical techniques to answer the research questions. The results of this study will both build our theoretical understanding of network management as well as inform practice.