Entrepreneurship and global health: activating the ecosystem and preventing disease

Julia F. Li & Elizabeth Garnsey

International Journal of Technology and Globalisation2020https://doi.org/10.1504/ijtg.2020.10034361article
AJG 1
Weight
0.26

What the paper says

What kind of business models can be used to provide affordable healthcare on a viable basis? This paper points to new business models that attract participants in a value chain for innovation. Public-private partnerships can help to activate a supportive ecosystem and draw in participants to contribute to the innovation value chain. There are few economic incentives stimulating R&D for diseases of poverty. But policies with global reach have created new sources of financing to accelerate healthcare innovation in resource-poor settings. Combining resource-based theory of the firm with ecosystem analysis, we extend entrepreneurship theory beyond conventional applications and point to new business models to achieve global health objectives. We use case study evidence from the Meningitis Vaccine Project to show how entrepreneurial innovation can build resources and create value in the healthcare ecosystem.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijtg.2020.10034361

Or copy a formatted citation

@article{julia2020,
  title        = {{Entrepreneurship and global health: activating the ecosystem and preventing disease}},
  author       = {Julia F. Li & Elizabeth Garnsey},
  journal      = {International Journal of Technology and Globalisation},
  year         = {2020},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtg.2020.10034361},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Entrepreneurship and global health: activating the ecosystem and preventing disease

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.26

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

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
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.