Leveraging complexity for ecosystemic innovation

Martha G. Russell, Nataliya Smorodinskaya · 2018 · Technological Forecasting and Social Change

Summary. This paper analyzes innovation ecosystems through complexity science, treating them as open non-linear networks where multiple actors collaborate and adapt to uncertainty. The authors distinguish innovation ecosystems from other business networks by their internal interaction complexity, review four research streams studying them, and apply complex adaptive systems theory to understand how innovation clusters function. They argue that ecosystem-based thinking better supports innovation-led economic growth than traditional industrial-era approaches.

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Russell, M. G., & Smorodinskaya, N.. (2018). Leveraging complexity for ecosystemic innovation. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2017.11.024

@article{russell-2018-leveraging-complexity-ecosystemic-innovation,
  title   = {Leveraging complexity for ecosystemic innovation},
  author  = {Martha G. Russell and Nataliya Smorodinskaya},
  journal = {Technological Forecasting and Social Change},
  year    = {2018},
  doi     = {10.1016/j.techfore.2017.11.024},
  url     = {https://doi.org/10.1016/j.techfore.2017.11.024}
}

TY  - JOUR
TI  - Leveraging complexity for ecosystemic innovation
AU  - Martha G. Russell
AU  - Nataliya Smorodinskaya
JO  - Technological Forecasting and Social Change
PY  - 2018
DO  - 10.1016/j.techfore.2017.11.024
UR  - https://doi.org/10.1016/j.techfore.2017.11.024
ER  -

Details

DOI: 10.1016/j.techfore.2017.11.024
Countries: United States
Regions: North America
Categories: innovation-theory, regional-innovation-systems, policy, general-innovation
Added: 2026-04-28