Abstract

Purpose: This article provides insights into how innovation clusters operate, how sectoral factors and organisational capabilities influence them, and how they contribute to economic growth and innovation in specific regions and industries. It provides insights into how sectoral effects, organisational capabilities, and collaboration dynamics intersect within these clusters, offering valuable information for policymakers and businesses seeking to leverage the potential of innovation clusters for regional and industry-specific development.
 Methodology/Approach: The research methodology involves a literature review, quantitative survey, factor analysis, cluster analysis, and correlation analysis to explore the relationships between sectoral effects, organisational capabilities, and collaboration within innovation clusters.
 Findings: The findings suggest that sector-specific effects influence cluster members' strategic and innovation capabilities. Technological complexity is predominant, impacting market orientation and product development capabilities. The article also identifies four distinct groups of organisations based on sectoral impacts and export activities within clusters.
 Research Limitation/implication: While the methodology provides valuable insights, there is potential sampling bias as non-random sampling via cluster manager recommendations may introduce selection bias. The findings are specific to Hungarian innovation clusters and may not be generalised universally.
 Originality/Value of paper: The uniqueness of this study lies in its holistic and data-driven exploration of innovation clusters, considering a wide range of factors and their practical implications for fostering collaboration and innovation in different industries.

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