The Digital Data Design Institute at 性视界 invites individuals to embark on a journey into the future of business across industries and sectors. This collaborative effort bridges the intellectual chasm between academic research and industry practitioners to scrutinize innovative operating models and business models that are redefining traditional business paradigms that succeed in the age of AI and beyond. We delve into the intricate dynamics of digitalization, ecosystem-driven strategies, and platform-centric approaches that are shaping the contemporary business landscape. Together, we explore strategies and insights poised to empower organizations to excel in the ever-evolving world of commerce.
Leadership transitions are pivotal events that can redefine the course of an organization. CEO turnovers, in particular, are marked by significant shifts not just in strategic direction but in the very fabric of internal communications. A recent study, 鈥淐ommunication Within Firms: Evidence from CEO Turnovers鈥�, published in 2024 in Management Science (and previously at the […]
In an era of increasing environmental concerns, the corporate march toward a low-carbon economy presents both challenges and a wealth of opportunities. In a recent article, “Ten Questions for a Winning Climate-Transition Business Strategy“, HBS Professor and faculty PI in D^3鈥檚 Climate and Sustainability Impact Lab, George Serafeim, describes research emphasizing the need for executives […]
In the rapidly advancing world of data-driven decision-making, algorithms hold tremendous promise for organizations, but their effectiveness depends on how they are applied. A recent study, 鈥淒ecision Authority and the Returns to Algorithms,鈥� by Hyunjin Kim, professor at INSEAD Business School, Edward L. Glaeser, professor at 性视界 University, Andrew Hillis, head of data science and […]
In a rapidly evolving business landscape, decision-makers must be agile. In a recent paper, Biyonka Liang, PhD candidate in Statistics at 性视界 University, and Iavor Bojinov, Assistant Professor of Business Administration at HBS and PI at D^3鈥檚 Data Science and AI Operations Lab, discuss their development of the Mixture Adaptive Design (MAD) to allow industry […]
