Interorganizational Collaborations for Humanitarian Aid: An Analysis of Partnership,Community, and Single Organization Outcomes

Abstract

This article explores collaborative activities across organizational and sectoral boundaries. Interorganizational collaborations are an increasingly common setup to address societal needs; however, current research lacks insights into such collaborations and their outcomes. This study contributes to the existing literature by assessing empirically perceptions of interorganizational collaboration outcomes, considering different dimensions that should be measured when planning and performing tasks of social interest. The article is set in the context of disaster relief, where actors from different humanitarian relief organizations within the public and nonprofit sector engage in collaborative activities. I describe how interorganizational collaborations create outcomes for (1) the partnership structure that is established, (2) single organizational members involved in the collaborative activity, and (3) the community targeted by the interorganizational operation.     

Opening up to OERs: Electronic Original Sourcebook Versus Traditional Textbook in the Introduction to American Government Course

Traditional American Government textbooks are expensive and often unpopular with students. New technologies and Open Educational Resources (OERs) open up the potential for change, but questions of quality are ever present: can OERs really help students learn better, or are they just cheaper? I developed an OER based on original sources and compared student learning outcomes with the OER section to those in a free digital textbook section. While the OER I created did not work as well as I had hoped, I nonetheless developed a redesign of my course and my approach to teaching, which is the true benefit of adopting OERs.     

Donor requests for economic analysis of humanitarian field programmes

Humanitarian organisations respond to increasing donor requests to assess economic aspects of their programmes, including cost-effectiveness. This article presents results from a survey of humanitarian agency staff and donor agencies, investigating such requests. Findings indicate a need for clear guidelines and capacity building in these economic assessments, expressed by both humanitarian staff and donor agencies themselves. While improving efficiency is important to ensure effective humanitarian response, caution is warranted in adopting overly burdensome and complex assessments of efficiency which are poorly understood by staff requesting and responding to them, the outcomes of which may lead to reductive and decontextualised decision-making.     

Cooperation,not cost savings: explaining duration of shared service agreements

Among local governments, inter-municipal cooperation is the growing reform; but the literature is silent regarding the determinants of longer-term shared service agreements. We conducted a survey of all local governments in New York State in 2013 to assess the level of sharing across 29 public services. The duration of shared service agreements varies from 1 to 80 years. What explains this difference? Our hierarchical linear model shows that service sharing agreements fall along a cooperation continuum, where cost savings are a determinant of shorter agreements, while the public values of service quality and cross-jurisdictional coordination explain longer-term agreements. We also find that positive past experience with sharing partners increases the duration of sharing agreements. Our analysis lays the foundation for new theories of shared services that build directly from the benefits of improved regional coordination, inter-municipal reciprocity and service quality, not from theories based solely on competition and costs.     

Government and Corruption: Scylla and Charybdis

Using public sector employment and corruption perception data for 72 countries across the world, this article demonstrates that despite common notion countries with “smaller” governments do not tend to have lower corruption. Under general assumptions, one can demonstrate that there is an optimal size of public sector employment corresponding to the highest capital intensity. The model has several implications: lower optimal sizes of governments for labor intensive countries and higher sizes for capital intensive ones, possibility to reduce corruption paying a cost of suboptimal output, and a higher “price” of an oversized government for labor intensive countries.     

Delegating Terror: Principal–Agent Based Decision Making in State Sponsorship of Terrorism

State sponsorship of terrorism, where a government deliberately provides resources and material support to a terrorist organization, is common in the international system. Sponsorship can provide significant strategic and political benefits for a state, but there are inherent international and domestic risks associated with delegating foreign policy to these actors. Using principal–agent analysis, I develop a model that evaluates the impact of potential costs and benefits on a state’s decision to sponsor terrorism. I test my model by using a novel dataset on sponsorship behaviors that ranges from 1970 to 2008. The results of my analysis support the validity of the principal–agent model in explaining sponsorship, as states will be more likely to engage in sponsorship when the strategic benefits of weakening the targeted state are high and the risks of international reputation loss and domestic dissatisfaction are low.     

Complex Contracting: Management Challenges and Solutions

Governments at all levels buy mission‐critical goods and services whose attributes and performance requirements are hard to define and produce. Many governments—and the public managers who lead them—lack experience and knowledge about how to contract for complex products. The contract management counsel provided to public managers is thin. Missing is a conceptual managerial framework to guide purchasing the complex products that are often so critical to public organizations' core missions. Drawing on perspectives from across the social sciences, the framework presented in this article provides guidance on how managers can harness the upsides of complex contracting while avoiding its pitfalls. The framework helps identify conditions that increase the likelihood of positive outcomes for the purchasing government and the vendor—the win‐win. To illustrate the framework, the article provides examples of successful and failed acquisitions for complex products such as transportation projects, social service systems, and information technology systems.     

Negotiating the review process: a CIA guide to intelligence analysis, 1970

The literature on intelligence analysis contains many references to the ‘review process’, the mechanism by which analysts’ drafts are converted into corporate products. Analysts whose drafts consistently navigate the process quickly and smoothly are regarded as star performers. Divining the practical meaning of organizational definitions of ‘good’ analysis and the personal preferences of specific senior reviewers is not easy, however. Analysts occasionally commit their understanding of reviewers’ stylistic preferences to paper, effectively providing style guides to help others. This essay presents and explains the development and implications of one such guide, which was designed to help analysts in CIA’s Office of Strategic Research in the early 1970s.     

Big Data,intelligence, and analyst privacy: investigating information dissemination at an NSA-funded research lab

The Laboratory for Analytic Sciences (LAS) at North Carolina State University, funded by the National Security Agency, is a collaborative, long-term research enterprise focused on improving intelligence analysis using Big Data. In its work, LAS has recently begun dealing with the trade-off between the collection, storage, and use of large unclassified data-sets and analyst privacy. We discuss particular privacy challenges at LAS, analyze privacy principles in the life cycle of LAS unclassified data-sets, what intelligence analysts themselves think about these privacy concerns, and recommend possible best practices potentially applicable to LAS, as well as future Big Data laboratories and research centers that collaborate with intelligence communities.