Dynamics from open innovation to evolutionary change
Summary. The authors develop conceptual and simulation models to analyze how open innovation drives evolutionary change in industries. Using the smartphone sector as a case study, they integrate open innovation theory with complex adaptive systems thinking to forecast dynamic effects and help organizations select future strategies.
Cite this article
Yun, J. J., Won, D., & Park, K.. (2016). Dynamics from open innovation to evolutionary change. Journal of Open Innovation Technology Market and Complexity. https://doi.org/10.1186/s40852-016-0033-0
Yun, JinHyo Joseph, et al. “Dynamics from open innovation to evolutionary change.” Journal of Open Innovation Technology Market and Complexity, 2016. https://doi.org/10.1186/s40852-016-0033-0.
Yun, JinHyo Joseph, Dongkyu Won, and KyungBae Park. 2016. “Dynamics from open innovation to evolutionary change.” Journal of Open Innovation Technology Market and Complexity. https://doi.org/10.1186/s40852-016-0033-0.
@article{yun-2016-dynamics-open-innovation-evolutionary-change,
title = {Dynamics from open innovation to evolutionary change},
author = {JinHyo Joseph Yun and Dongkyu Won and KyungBae Park},
journal = {Journal of Open Innovation Technology Market and Complexity},
year = {2016},
doi = {10.1186/s40852-016-0033-0},
url = {https://doi.org/10.1186/s40852-016-0033-0}
}
TY - JOUR TI - Dynamics from open innovation to evolutionary change AU - JinHyo Joseph Yun AU - Dongkyu Won AU - KyungBae Park JO - Journal of Open Innovation Technology Market and Complexity PY - 2016 DO - 10.1186/s40852-016-0033-0 UR - https://doi.org/10.1186/s40852-016-0033-0 ER -
Details
- DOI
- 10.1186/s40852-016-0033-0
- Countries
- South Korea
- Regions
- Asia
- Categories
- innovation-theory, innovation-networks, general-innovation
- Added
- 2026-04-28