Science and Innovation
David J. TeeceBerkeley Research Group, LLC, 2200 Powell Street, Suite 1200, Emeryville, CA, 94608, USASohvi LeihUniversity of California, Haas School of Business, Berkeley, CA, USA
2018en
ABI
Аннотация
In the first half of the twentieth century, the relationship between science and innovation was largely understood in terms of a linear model: innovation starts with basic research and then moves to applied research and development, followed by production and diffusion. This model has been criticized as oversimplified and misleading, as scholars have observed different ways and factors that lead to innovation. Later models such as non-linear models consider innovation as a more evolutionary, non-linear, and interactive process between the firm and its environment.
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