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Item type:Publication, Reacting to Change within Change: Adaptive Leadership and the Peruvian Response to Venezuelan Immigration(Wiley, 2020-09-09)Abstract Peru is the second most important destination country for Venezuelan emigration. The country’s policy response can be separated into two distinct phases: the first one, under former president Pedro Pablo Kuczynski (July 2016–March 2018), is characterized by relative openness; the second one, under incumbent president Martín Vizcarra (in office since March 2018), is characterized by policy closure and a shift towards securitization. In this paper, we apply the concept of adaptive leadership to explain the stark difference in the migration‐related governance of both presidents. We find that the policy shift can be explained by an interplay between three factors: an internal political crisis due to conflict between the executive and legislative branches of government; the change in number and social profiles of Venezuelan migrants, with a tendency towards lower social, economic and educational statuses; and the rise in xenophobic attitudes among the Peruvian population. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Applying profit-driven metrics in predictive models: A case study of the optimization of public funds in Peru(Success Culture Press, 2022-01-01)Fund allocation is a crucial concern in public management, as it is an important factor for economic performance in public investment. Governments spend substantial resources to improve these investments’ efficiency and effectiveness. The use of Machine Learning techniques has proven to be a relevant tool in the decision-making process. In this study we test an approach based on a profit-driven perspective, in order to assess predictive models in public resource allocation, valuing the net profit obtained by the allocation of funds for Peruvian researchers to have a specific performance measure to the fund allocation. A series of experiments were developed using data from 24 Peruvian universities. The use of a profit-driven metric allows to make better choices regarding predictive models and reaching better performance in public investment for Peruvian government. Use of Machine Learning techniques supports the correct identification and selection of researchers to optimally allocate limited resources in an emerging country and shows a novel use of predictive models in public management.