Entrepreneurship and innovation strategy books from MIT
Fundamentals and frameworks for first-time and serial entrepreneurs alike. Plus, a practical new guide to engaging with innovation ecosystems.
Fundamentals and frameworks for first-time and serial entrepreneurs alike. Plus, a practical new guide to engaging with innovation ecosystems.
When employees contact an ombuds, what issues are raised — and which are most important to all stakeholders, including the organization?
Colgate-Palmolive, Sanofi, and other firms are making generative AI work for them in ways both big and (intentionally) small.
Fact-checker warnings work and are broadly popular, and other insights about social media moderation from an MIT expert.
Effective data leadership starts with modernizing data technology — and calls for taking action, no matter how daunting.
From risk management policies to the five stages of AI ethics, here’s how some organizations approach ethical AI.
Launching a venture? Here’s advice from MIT entrepreneurs in residence on navigating artificial intelligence, the economy, and uncertainty.
Generative artificial intelligence is rapidly emerging as a key foundational platform for new applications. But hurdles remain, according to researchers.
Systemic investing offers a route to sustainably realizing financial and eco-social value. The key is understanding and embracing the complexity of systems.
From MIT Sloan experts, practical guidance for launching ventures, shaping strategy, and making innovation work.