Understanding and governing technology transitions is essential to cope with major challenges of the 21st century such as climate change or digitization. In this paper, a learning-based approach is developed to explain the dynamics of different transition pathways. Technological know-how is necessary to make effective use of technical innovations embodied in capital. Firms and employees accumulate technology specific knowledge when working with specific machinery. Radical innovation differs by technology type and pre-existing knowledge may be imperfectly transferable across types. This paper addresses the implications of cross-technology transferability of skills for firm-level technology adoption and its consequences for the direction of macro-level technological change. A microeconomically founded model of technological learning is introduced. The model is based on empirical and theoretical insights from the innovation literature. In a simulation study using the macro-economic ABM Eurace@unibi-eco and applied to the context of green 2 technology diffusion, it is shown that a high transferability of knowledge has ambiguous effects. It accelerates the diffusion process initially but comes at the cost of long-term technological stability and specialization. For firms, it is easy to adopt new technology, but also easy to switch back to the incumbent type. Technological instability can be macroeconomically costly.

了解和控制技术转型对于应对21世纪的重大挑战（例如气候变化或数字化）至关重要。在本文中，开发了一种基于学习的方法来解释不同过渡路径的动态。技术诀窍是有效利用资本中体现的技术创新所必需的。公司和员工在使用特定机器时会积累特定于技术的知识。激进的创新因技术类型的不同而不同，并且现有知识可能无法完美地在各种类型之间转移。本文讨论了跨技术的技能转让对企业级技术采用的影响及其对宏观技术变革方向的影响。引入了从微观经济学角度建立的技术学习模型。该模型基于创新文献的经验和理论见解。在使用宏观经济ABM的模拟研究中Eurace @ unibi-eco并应用于绿色2技术扩散的背景下，表明知识的高可传递性具有模糊的影响。它最初会加速扩散过程，但要以长期的技术稳定性和专业化为代价。对于公司而言，采用新技术很容易，但也很容易切换回现有的类型。技术不稳定可能会造成宏观经济损失。