Drivers of Eco-innovation in Industrial Clusters - A Case Study in the Colombian Metalworking Sector
Eco-innovation is the development of products and processes that contribute to searching for solutions to differentiate and position companies or businesses in the market sustainably. The cluster is considered a cooperative strategy for businesses to achieve competitive efficiency. Nowadays, compani...
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Published in | Computer Information Systems and Industrial Management pp. 136 - 145 |
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Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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Summary: | Eco-innovation is the development of products and processes that contribute to searching for solutions to differentiate and position companies or businesses in the market sustainably. The cluster is considered a cooperative strategy for businesses to achieve competitive efficiency. Nowadays, companies have the intrinsic responsibility of reducing their environmental impact significantly, creating novel, enhanced products and services.
This work aims to identify the drivers or determinant factors fostering the eco-innovation within industrial clusters for a Case Study in Colombia, South America. The study was applied to 40 companies in the Colombian metalworking sector. The Fuzzy-set Qualitative Comparative Analysis (fsQCA) methodology was implemented, allowing the identification of underlying causal relationships ruling the levels of eco-innovation in industrial clusters.
Results show that the capacity, the regulatory policies, and the competitive pressure are the main drivers for the clusters to reach high innovation levels, achieving the desired economic and environmental outcomes. Furthermore, even with low-demand conditions and unclear policies, companies in the cluster can successfully generate profits and stay competitive depending strongly on the three identified factors. Future research will focus on extrapolating the study to industrial clusters in different countries, regions, and business sectors. |
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ISBN: | 9783031105388 3031105389 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-031-10539-5_10 |