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Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods
Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods
Summary
Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods is a scholarly article[1].
Key Facts
Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/exposing-the-ideal-combination-of-endogenousexogenous-drivers-for-companies-ecoinnovative-orientation-results-from-machi
MLA“Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exposing-the-ideal-combination-of-endogenousexogenous-drivers-for-companies-ecoinnovative-orientation-results-from-machi.
BibTeX@misc{4ortxyz_exposing-the-ideal-combination-of-endogenousexogenous-drivers-for-companies-ecoinnovative-orientation-results-from-machi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods}}, year = {2026}, url = {https://4ort.xyz/entity/exposing-the-ideal-combination-of-endogenousexogenous-drivers-for-companies-ecoinnovative-orientation-results-from-machi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods — https://4ort.xyz/entity/exposing-the-ideal-combination-of-endogenousexogenous-drivers-for-companies-ecoinnovative-orientation-results-from-machi (retrieved 2026-05-24)
