Understanding “systemic problems” or “blocking mechanisms” in emerging technologies and industries has been a major issue in Technological Innovation Systems (TIS) research. Despite this literature’s long tradition, we show that a more accurate definition enhances the TIS framework explanatory power for a higher diversity of empirical cases. We posit that conceptual improvement depends on addressing the unclear or incomplete definitions and the lack of explanation of interdependent systemic problems and blocking mechanisms. To this end, we apply a mechanism-based approach to explore these conceptual limitations. As a result, we propose a causal conceptual framework that understands blocking mechanisms as causal pathways linking systemic problems (causes) to poor system functioning (outcomes). We also argue that detailing the causal pathway in activities and respective actors better explains system malfunctioning. Finally, we discuss patterns of interdependencies among systemic problems and blocking mechanisms and implications for methodologies and for informing policy.
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Oliveira et al. (2020) studied this question.
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