Akademik Veri Yönetim Sistemi
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.40, sa.3, 2025 (SCI-Expanded, Scopus, TRDizin)
Purpose: This study aims to determine the factors affecting the eco-innovation capability of manufacturing firms and to analyze the complex causal relationships between these factors. Theory and Methods: In this article, an innovative approach that integrates DEMATEL and regression analysis is used to analyze complex causal relationships between factors. This approach significantly reduces the evaluation burden of experts, especially in studies involving a large number of factors, and provides an effective solution for determining the direct effects of factors on each other by combining expert opinions. Owing to this approach, the direct effects of factors affecting the eco-innovation ability of firms on each other were obtained with regression analysis with data collected from 343 participants. Then, these direct effects were used as input in the DEMATEL method to obtain causal relationships between factors. Results: The findings demonstrate that, in the context of eco-innovation, strategic management capability, technological innovation capability and R&D capability are the most critical factors that have a driving force on other factors. Although not as critical as these factors, organizational management capability, learning capability and process/production capability factors are also seen as primary criteria that can be defined as core. On the other hand, it can be expressed that other factors have a receptive role that develops under the influence of these core factors or have an autonomous role with less interaction within the system. Conclusion: This study, which addresses the identification of factors affecting the eco-innovation capability of manufacturing firms and the examination of the relationships between them with an innovative integrated approach, offers many theoretical and practical implications for academic literature and practitioners. While the method developed in the study provides an effective and useful analysis tool for understanding relationships in systems containing a high number of criteria, the findings obtained provide guidance for manufacturing companies to develop applicable strategies to enhance their eco-innovation capability and achieve their sustainability goals.