Acquisition in a World of Joint Capabilities: Methods for Understanding Cross-Organizational Network Performance
Abstract
Increasingly, government managers are turning to cross-organizational networks for the acquisition and delivery of services. The use of networks is lauded as a means to eliminate service gaps, achieve synergistic benefits, and provide better buying power. Cross organizational networks now support a large number of local, state, and federal level activities (i.e., health care, social services, emergency management, and transportation). It has long been recognized that organizations are susceptible to the vagaries of their environment and that performance is often a function of how well organizations adapt to environmental fluctuations (Ashby, 1954; Holland, 1975). Despite the popularity of networks, little is known about the unique risks they encounter and the susceptibility of cascades. The objectives of this research are to (1) identify the exposure and vulnerability mechanisms that relate to cross-organizational network risk, contagion, and performance; (2) provide managerial recommendations on cross-organizational networks as a form of service delivery; and (3) provide a theoretical framework for conceptualizing cross-organizational networks as a service delivery option. This research models the Major Defense Acquisition Programs (MPADs) as a network of interconnecting programs and employs Contagion Modeling (mixed effects linear regression with a modularity maximization algorithm) as a method for understanding MDAP performance. The presentation will provide the statistical results gained from the contagion modeling and provide insights on risk susceptibility. Understanding the nature of how exposure triggers state changes across networks levels is likely to yield new strategies on how to manage network risk.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 30, 2016
- Accession Number
- AD1016763
Entities
People
- Mary Brown
- Zachary Mohr
Organizations
- University of North Carolina at Charlotte