National innovation beyond linear models: An exploratory QCA of asymmetric pathways to successful and failure-bound innovation strategies of EU economies post-Covid-19
Fernando Castelló-Sirvent , Cristina Santos-Rojo , Juan Manuel García-García
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引用次数: 0
Abstract
This study examines the asymmetric pathways leading to different innovation performance outcomes in the 27 European Union (EU) member states in the years before and after Covid-19. The study offers a novel approach to innovation analysis that contrasts with traditional linear approaches. Crisp-set qualitative comparative analysis (csQCA) was used to analyze variations in innovation performance pre-Covid-19 (2019) and post-Covid-19 (2023) across the 27 EU member states. Data were sourced from the Global Innovation Index (GII), published annually by the World Intellectual Property Organization (WIPO). The analysis focused on five key dimensions: human capital and research, infrastructure, market sophistication, business sophistication, and gross domestic product (GDP). The results reveal configurations (strategies) of these conditions (dimensions) that lead to successful or failed innovation performance. Four strategies lead to success and three lead to failure, with perfect consistency (1.0) observed across all solutions. A key finding is that the decline of market sophistication is a necessary condition for failure. The study also reveals several complex causal relationships, in which similar conditions can produce opposite outcomes depending on their configurational context. The findings contribute to the innovation policy literature by highlighting the importance of developmental approaches to innovation and by challenging the assumption that singular improvements in firm sophistication necessarily lead to higher innovation performance. Moreover, the research provides interesting insights for policymakers and practitioners, particularly in the context of the new EU Competitiveness Compass and the emerging environmental, social, and governance (ESG) regulatory framework. The study offers evidence-based recommendations for designing resilient innovation strategies in post-crisis scenarios.
期刊介绍:
The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices.
JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience.
In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.