A Configurational Approach to Eco‐Innovation and Innovation Performance Relationship: Does Firm Size Matter?

ABSTRACT This research fills the gap identified in the extant literature regarding the relationship between eco‐innovation and innovation performance, employing the Fuzzy Set Qualitative Comparative Analysis (fsQCA) approach within the configuration theory framework. We analyze data from 2123 innovative manufacturing firms across eight European countries. The results highlight how the combination of product and process eco‐innovations, and the firm's internal and external knowledge sources, leads to high innovation performance. Configurations vary significantly with firm size. Small firms benefit from simultaneous engagement in product and process eco‐innovation when supported by innovation collaborations. Medium‐sized firms benefit from comprehensive investments in their internal knowledge base combined with eco‐innovations. Large firms benefit from product eco‐innovation combined with R&D investments. This research offers valuable insights into the application of eco‐innovation to achieve high innovation performance, providing eco‐innovation strategies for managers to focus on sustainable business practices.

Authors

Institutions

Publication Details

Journal
R and D Management
Published
2025-09-16
DOI
https://doi.org/10.1111/radm.70018
Citations
2
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
4.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Configurational Approach to Eco‐Innovation and Innovation Performance Relationship: Does Firm Size Matter?

Kostas Tsekouras, Κωνσταντίνος Κουνετάς, George Koutsouradis
2 citations
R and D Management
Innovation and Knowledge Management
4.45
article

A Configurational Approach to Eco‐Innovation and Innovation Performance Relationship: Does Firm Size Matter?

Kostas Tsekouras, Κωνσταντίνος Κουνετάς, George Koutsouradis
article en
2 citations

Abstract

ABSTRACT This research fills the gap identified in the extant literature regarding the relationship between eco‐innovation and innovation performance, employing the Fuzzy Set Qualitative Comparative Analysis (fsQCA) approach within the configuration theory framework. We analyze data from 2123 innovative manufacturing firms across eight European countries. The results highlight how the combination of product and process eco‐innovations, and the firm's internal and external knowledge sources, leads to high innovation performance. Configurations vary significantly with firm size. Small firms benefit from simultaneous engagement in product and process eco‐innovation when supported by innovation collaborations. Medium‐sized firms benefit from comprehensive investments in their internal knowledge base combined with eco‐innovations. Large firms benefit from product eco‐innovation combined with R&D investments. This research offers valuable insights into the application of eco‐innovation to achieve high innovation performance, providing eco‐innovation strategies for managers to focus on sustainable business practices.

R and D ManagementVol. 56(1)
University of Patras (GR)
Openalex Percentile: Top 5%
Innovation and Knowledge Management
4.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.