Peiró Signes, A.; Segarra-Oña, M.; Trull-Dominguez, O.; Sánchez-Planelles, J. (2022). Exposing the ideal combination of endogenous¿exogenous drivers for companies' ecoinnovative orientation: Results from machine-learning methods. Socio-Economic Planning Sciences. 79:1-15. https://doi.org/10.1016/j.seps.2021.101145
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/180858
Title: | Exposing the ideal combination of endogenous¿exogenous drivers for companies' ecoinnovative orientation: Results from machine-learning methods | |
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[EN] This study provides an XGBoost model to characterize the environmental orientation of
innovative firms. This novel approach, using state-of-the-art machine learning
methodologies and multiple recognized drivers of ...[+]
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Copyrigths: | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | |
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Publisher version: | https://doi.org/10.1016/j.seps.2021.101145 | |
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