This study proposes an analytical approach to niche-regime-interactive learning, taking an inter-organisational-network-learning perspective. This approach is illustrated empirically with a network-learning episode in which several actors engage with each other for the marketing of local products in supermarkets. Its novelty is two-fold: 1) it integrates the notion of learner levels into the MLP, differentiating between learning-in and -by regime; 2) it proposes a different understanding of learning loops than usually found in ST studies, by considering them as encompassing both processes and outcomes. The paper makes both theoretical and empirical contributions: 1) it helps to elaborate multi-stakeholder learning; 2) it enables capturing learning dynamics within and between sub-system and system levels; 3) it helps to elucidate knowledge-power issues learning is subjected to; 4) it elucidates the value of this network perspective empirically, illustrating its descriptive and explanatory power in helping to further the knowledge on learning at the regime level.
Da Costa, I., Bui, S., De Schutter, O., & Dedeurwaerdere, T. (2022). A network perspective to niche-regime interactions and learning at the regime level. Environmental Innovation and Societal Transitions, 43, 62-79. https://doi.org/10.1016/j.eist.2022.03.001 (Original work published 2022)