A Conversation about Revitalizing Double-Loop Learning for Organizational Transformation

This research examines double-loop learning (DLL), a framework that requires organizations to move beyond fixing surface-level errors to challenging and altering the underlying assumptions that cause them. Despite its conceptual fame, the research argues that DLL is rarely practiced due to defensive reasoning, leadership gaps, and a failure to combine cognitive shifts with observable behavioral changes. The research identifies significant risks of ignoring this process, such as innovation stagnation and repeated problem recurrence, which can damage both performance and employee wellbeing. To bridge this gap, the research proposes evidence-based interventions, including the use of technological simulations, psychologically safe environments, and leadership modeling of vulnerability. Ultimately, the research suggests that revitalizing this theory is essential for navigating modern strategic disruption and achieving deep organizational transformation.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.