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New Operating Models and Business Models

The Digital Data Design Institute at Harvard 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.

Shaping the Future of Innovation: Insights from PyTorch’s Governance Transformation

In the rapidly evolving world of technology and open collaboration, companies face a paradox: how much control to maintain over the technologies they develop while providing access to foster innovation and attract external contributions. In their study, “Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration,” authors Daniel Yue, Assistant Professor at the […]

A Human Touch: Why AI Can’t Fully Replace Empathy in Social Interactions

As artificial intelligence continues to advance, its ability to generate empathetic responses in social interactions has improved dramatically. However, new research by Matan Rubin, a PhD student at The Hebrew University of Jerusalem, and a research team (see the bottom of the page for author details) that includes HBS Assistant Professor and Principal Investigator of […]

Understanding and Harnessing Group Emotions

In an interconnected world, emotions don’t just exist within individuals; they flow through groups and entire networks. In “What Makes Groups Emotional?,”1 Amit Goldenberg, Assistant Professor of Business Administration at HBS and Principal Investigator at D^3’s Digital Emotions Lab, summarizes literature to explore the components and dynamics of group emotions, the factors that amplify their […]

Leveraging Machine Learning for Safer Workplaces

Regulatory agencies like the Occupational Safety and Health Administration (OSHA) and the state agencies it oversees have significant responsibilities in ensuring safe working conditions in millions of workplaces nationwide. However, these agencies face significant challenges due to limited resources, and inspect less than 1% of workplaces annually. In their article, “Making Workplaces Safer Through Machine […]

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