The chapter explores the sources and models of innovation, measures of innovation, factors influencing innovation, and debates about the current pace of innovation. It emphasizes the interconnected nature of innovation within ecosystems involving individuals, organizations, and institutions. Creativity is distinguished from innovation, which involves implementing creative ideas into working products or processes. The models of innovation discussed include stage models, trial-and-error models, cascading models, and opportunity-driven models. The passage also delves into various methods of measuring innovation, such as patent data, new product introductions, R&D spending, productivity gains, and economic growth. Factors influencing innovation are categorized into personal factors (e.g., hard work, risk-taking), group factors (e.g., collaboration, reduced hierarchy), environmental factors (e.g., opportunity, necessity, scarcity), resources and learning (e.g., education, knowledge, AI), rewards, deadlines, government factors, innovation hubs, and luck. The chapter also addresses the debate on whether innovation is slowing down, with some evidence suggesting a slowdown in certain areas. In contrast, others argue for accelerating innovation in industries investing in technologies like AI, automation, and big data. Overall, the chapter provides a comprehensive overview of the multifaceted nature of innovation, its models, measurement techniques, influencing factors, and the ongoing discourse on its pace.