0000000000194204
AUTHOR
Olga Kokshagina
Modeling Vaccine Allocations in the COVID-19 Pandemic: A Case Study in Australia
Timely allocation and distribution of COVID-19 vaccines on a large scale is a highly complex, dynamic, and context-specific task. The focus of this research on optimizing vaccine allocation is on the downstream part of a COVID-19 vaccine supply chain. Previous research on vaccine supply chains and pandemic supply chains has not fully incorporated the multitude of factors and underlying constraints affecting a vaccine supply chain which can be optimized to mitigate the risk of infection. An effective model is needed to conceptualize the process of the downstream vaccine supply chain to ensure efficient coordination and timely distribution of vaccines to the population. This paper develops a …
Examining Open Innovation in Science (OIS): what Open Innovation can and cannot offer the science of science
Scholars across disciplines increasingly hear calls for more open andcollaborative approaches to scientific research. The concept of OpenInnovation in Science (OIS) provides a framework that integratesdispersed research efforts aiming to understand the antecedents,contingencies, and consequences of applying open and collaborativeresearch practices. While the OIS framework has already been taken upby science of science scholars, its conceptual underpinnings requirefurther specification. In this essay, we critically examine the OIS conceptand bring to light two key aspects: 1) how OIS builds upon OpenInnovation (OI) research by adopting its attention to boundary-crossingknowledge flows and by…
The Open Innovation in Science research field: a collaborative conceptualisation approach
Openness and collaboration in scientific research are attracting increasing attention from scholars and practitioners alike. However, a common understanding of these phenomena is hindered by disciplinary boundaries and disconnected research streams. We link dispersed knowledge on Open Innovation, Open Science, and related concepts such as Responsible Research and Innovation by proposing a unifying Open Innovation in Science (OIS) Research Framework. This framework captures the antecedents, contingencies, and consequences of open and collaborative practices along the entire process of generating and disseminating scientific insights and translating them into innovation. Moreover, it elucidat…