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Public procurement for innovation: Lessons and challenges of a COVID-19 vaccine contract

Maria Carolina Foss & Diogo R. Coutinho

Journal of Strategic Contracting and Negotiation2023https://doi.org/10.1177/20555636231202680article
AJG 1
Weight
0.42

What the paper says

During the COVID-19 pandemic, which triggered a worldwide emergency call to pursue new drugs and devices to treat and cure the disease, vaccines began to be developed mid-2020, as a promising weapon and shield. Fiocruz, a Brazilian government science and technology institute, signed a public procurement for innovation contract with the foreign pharmaceutical company AstraZeneca to purchase, at that time, vaccines still under development. It was the first public procurement for innovation contract in the Brazilian public health system (SUS). This paper analyzes how the Brazilian public procurement contracts for the COVID-19 vaccine dealt with technology and institutional risks and uncertainties. It also aims to describe how such agreements (and the legal apparatus behind them) relate to the Brazilian system of innovation and to the theoretical approach of contracting for innovation. A key question is: how does the public procurement for innovation vaccine contract signed by Fiocruz deal with the intrinsic nature of uncertainty that characterizes innovation, and what lessons and challenges can be drawn?

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https://doi.org/https://doi.org/10.1177/20555636231202680

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@article{maria2023,
  title        = {{Public procurement for innovation: Lessons and challenges of a COVID-19 vaccine contract}},
  author       = {Maria Carolina Foss & Diogo R. Coutinho},
  journal      = {Journal of Strategic Contracting and Negotiation},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.1177/20555636231202680},
}

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Public procurement for innovation: Lessons and challenges of a COVID-19 vaccine contract

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Evidence weight

0.42

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.19 × 0.4 = 0.07
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.