A literature review analyzes models for assessing innovation performance in industrial clusters, suggesting new evaluation approaches.
Purpose To analyze the literature on models for evaluating innovation performance in industrial clusters. Design/methodology/approach A systematic literature review was conducted, supported by bibliometric analysis. Studies were retrieved from Web of Science databases and analyzed both quantitatively and qualitatively, using Microsoft Excel and VOSviewer software. Findings This topic continues to attract interest from the scientific community, but there is still a gap in the literature regarding specific models for assessing the innovation performance of industrial clusters. These models can encompass essential dimensions such as networks, knowledge dynamics, innovative capabilities, and business performance. In addition, they incorporated the innovation indicators identified in this study. Originality/value This study provides a holistic understanding of scientific production to evaluate the innovation performance of industrial clusters. Consequently, in addition to filling the gaps in the literature, this study proposes alternatives to overcome the challenges related to these evaluations.
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Bezerra et al. (2026) studied this question.
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