Exploratory Modeling and Adaptive Strategies for Investment in Standard Services to Facilitate Public Service Networks

Sungho Lee

ResearchPublished May 10, 2006

Many contemporary challenges that span multiple policy domains require interagency collaboration. Common basic services can be shared to minimize inappropriate redundancies, and standard interfaces may interconnect specialized applications to maximize interdependent synergies. But heterogeneity among users or network nodes as well as technical and organizational uncertainties makes investment in standard services difficult. The author compares several strategies for delivering common services and finds that complementary modular services improve social welfare by eliminating redundancies and expanding the customer base. Modest investment in standard services jointly with mission-centric operation not only enhances mission capabilities but also mitigates their variance. Using as a case study a proposed investment in nationwide consolidated public safety wireless networks by the Korean National Emergency Management Agency, the author demonstrates that well-designed adaptive strategies mitigate risks and enhance long-term investment values.

Topics

Document Details

  • Availability: Web-Only
  • Year: 2006
  • Pages: 219
  • Document Number: RGSD-199

Citation

RAND Style Manual
Lee, Sungho, Exploratory Modeling and Adaptive Strategies for Investment in Standard Services to Facilitate Public Service Networks, RAND Corporation, RGSD-199, 2006. As of September 24, 2024: https://www.rand.org/pubs/rgs_dissertations/RGSD199.html
Chicago Manual of Style
Lee, Sungho, Exploratory Modeling and Adaptive Strategies for Investment in Standard Services to Facilitate Public Service Networks. Santa Monica, CA: RAND Corporation, 2006. https://www.rand.org/pubs/rgs_dissertations/RGSD199.html.
BibTeX RIS

Research conducted by

This document was submitted as a dissertation in December, 2005 in partial fulfillment of the requirements of the doctoral degree in public policy analysis at the Pardee RAND Graduate School. The faculty committee that supervised and approved the dissertation consisted of Steven W. Popper (Chair), Steven C. Bankes, and Paul K. Davis. Nalin Kulatilaka was the outside reader for the dissertation.

This publication is part of the RAND dissertation series. Pardee RAND dissertations are produced by graduate fellows of the Pardee RAND Graduate School, the world's leading producer of Ph.D.'s in policy analysis. The dissertations are supervised, reviewed, and approved by a Pardee RAND faculty committee overseeing each dissertation.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.