National systems of innovations are “x-efficient” (and x-effective): Why some are slow learners

By Jorge Niosi. 2002

334 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Political Science and International Relations, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/37c8f7b0e23ac520b21d7a6827c56482f17233b6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. L. Hommen
2. Charles Edquist

In Political Science and International Relations

1. L. Hommen
2. Charles Edquist
3. J. Fagerberg
4. B. Lundvall
5. Richard Harris
6. M. Peneder
7. Martin Srholec
8. Marko P. Hekkert

In Strategy and Management

1. Charles Edquist
2. L. Hommen
3. J. Fagerberg
4. S. Borrás

Citations in the corpus

• Exploring the impact of open innovation on national systems of innovation — A theoretical analysis (2012, neutral): “Third, there are many publications on NSI that focus on the effectiveness of innovation systems [13] where research covers performance assessment, system failures, and the efficient evaluation of input-output.”
• Small Country Innovation Systems: Globalization, Change and Policy in Asia and Europe (2009, background): “…Kaiser and Prange, 2004; Liu and White, 2001; Niosi, 1991).1 However, progress in refining the NSI concept has been uneven and difficult to assess, given that ‘no single definition has yet imposed itself on NSI research’ (Niosi, 2002, p. 291) and many of the key terms are used in an ambiguous way.”