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AbstractHow does funding from foreign aid shape public opinion toward development programs? Existing research suggests that citizens of recipient countries prefer aid-funded programs, particularly if they view the domestic government as corrupt and ineffective. However, these studies have been implemented in contexts where major donors are relatively popular. We extend this literature by analyzing attitudes toward foreign aid in the Arab world, where Western donors are often polarizing and disliked. A survey experiment conducted in Egypt provides some evidence that respondents approve less of public health programs when they are funded by the US or French development agencies instead of the Egyptian government. We find that this effect is driven by distrust of Western donors' motives. Descriptive survey data from the Arab Barometer reinforce the experimental findings by illustrating the importance of anti-Americanism and perceptions of donor motives in heightening opposition to aid. This research note contributes to a growing literature on public opinion toward foreign aid in recipient countries.

AbstractInternational mechanisms failed to achieve equitable distribution of COVID‐19 vaccines—prolonging and deepening the pandemic. To understand why, we conduct process tracing of the first year of international policymaking on vaccine equity. We find that, in the absence of a single venue for global negotiation, two competing law and policy paradigms emerged. One focused on demand and voluntary action by states and firms, while the alternative focused on opening knowledge and expanding production through national and international law. While these could have been complementary, power inequalities between key actors kept the second paradigm from gaining traction on the global agenda. The failure of the prevailing policy paradigm to secure equity is explained, not by unforeseen technical and financing challenges as some suggest, but by a fundamental misalignment with the political environment. While norm entrepreneurs encouraged sharing, political incentives pushed governments towards securing and hoarding doses. Firms responded to the latter. Mechanisms like COVAX proved incapable of countering these predictable international and domestic political forces. Earlier funding would not likely have changed the behaviour of states or firms in the absence of legal commitment. Barring significant geopolitical changes, a shift to include open/supply‐focused policies will be necessary to achieve equity in future pandemics.

PurposeThe purpose of this paper is twofold. First, the authors provide a survey of operations management (OM) research applications of traditional hierarchical and nonhierarchical clustering methods with respect to key decisions that are central to a valid analysis. Second, the authors offer recommendations for practice with respect to these decisions.Design/methodology/approachA coding study was conducted for 97 cluster analyses reported in six OM journals during the period spanning 1994-2015. Data were collected with respect to: variable selection, variable standardization, method, selection of the number of clusters, consistency/stability of the clustering solution, and profiling of the clusters based on exogenous variables. Recommended practices for validation of clustering solutions are provided within the context of this framework.FindingsThere is considerable variability across clustering applications with respect to the components of validation, as well as a mix of productive and undesirable practices. This justifies the importance of the authors' provision of a schema for conducting a cluster analysis.Research limitations/implicationsCertain aspects of the coding study required some degree of subjectivity with respect to interpretation or classification. However, in light of the sheer magnitude of the coding study (97 articles), the authors are confident that an accurate picture of empirical OM clustering applications has been presented.Practical implicationsThe paper provides a critique and synthesis of the practice of cluster analysis in OM research. The coding study provides a thorough foundation for how the key decisions of a cluster analysis have been previously handled in the literature. Both researchers and practitioners are provided with guidelines for performing a valid cluster analysis.Originality/valueTo the best of the authors' knowledge, no study of this type has been reported in the OM literature. The authors' recommendations for cluster validation draw from recent studies in other disciplines that are apt to be unfamiliar to many OM researchers.

Law and policy differences help explain why, as HIV-related science has advanced swiftly, some countries have realised remarkable progress on AIDS while others see expanding epidemics. We describe the structure and findings of a new dataset and research platform, the HIV Policy Lab, which fills an important knowledge gap by measuring the HIV-related policy environment across 33 indicators and 194 countries over time, with online access and visualisation. Cross-national indicators can be critical tools in international governance—building social power to monitor state behaviour with the potential to change policy and improve domestic accountability. This new and evolving effort collects data about policy through review of legal documents, official government reports and systematic review of secondary sources. Alignment between national policy environments and global norms is demonstrated through comparison with international public health guidance and agreements. We demonstrate substantial variation in the content of law and policies between countries, regions and policy areas. Given progress in basic and implementation science, it would be tempting to believe most countries have adopted policies aligned with global norms, with a few outliers. Data show this is not the case. Globally, alignment is higher on clinical and treatment policies than on prevention, testing and structural policies. Policy-makers, researchers, civil society, finance agencies and others can use these data to better understand the policy environment within and across countries and support reform. Longitudinal analysis enables evaluation of the impact of laws and policies on HIV outcomes and research about the political drivers of policy choice.