Abstract
The purpose of this article is to investigate the effect of the technology factors and the breadth knowledge search on eco-innovation. The analysis is based on a sample of 634 manufacturing firms in Canada. Eco-innovation literature has largely been developed and operationalized through symmetrical analyses. Such methods necessarily limit investigation of synergies between eco-innovation drivers. The study empirically analyses the data set using structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The SEM findings indicate that knowledge search breadth mediates the relationship between the R&D activities and eco-innovation. The fsQCA results confirm synergies among eco-innovation drivers. Overall, three pathways of eco-innovation drivers are sufficient conditions for explaining high eco-innovation performance.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
