Collaborative systems thinking analysis for enhancing climate smart agricultural (CSA) technology adoption in Africa

Agricultural technology adoption is a critical driver of sustainable development, particularly in developing regions where agriculture plays a pivotal role in food security and livelihoods. This study combines network analysis, including causal loop diagrams (CLD), with centrality metrics, to uncover key leverage points within the system where targeted interventions can yield significant impacts on climate smart agricultural (CSA) technology adoption. Our findings reveal the intricate interconnections among various determinants, emphasizing the non-linear nature of technology adoption processes. The degree of centrality analysis identifies influential determinants within the network, offering insights into their potential impact and importance in driving change within the broader system. This research offers valuable guidance for policymakers, agricultural extension services, and development practitioners involved in CSA. It contributes to the efficient adoption and implementation of relevant technologies, thereby enhancing the resilience of agricultural practices in the face of climate change. Furthermore, it underscores the importance of considering the holistic context and intricate interactions to promote sustainable agricultural development in developing regions.