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Performance and Metrics

This community of practice elevates participants’ comprehension of performance measurement and metrics within the realm of business. Here, academic luminaries and industry experts converge to scrutinize the latest methodologies, tools, and best practices in quantifying success and driving strategic decision-making. Participants immerse themselves in the realms of experimentation, data analytics, and benchmarking to unearth profound insights that catalyze enhanced organizational and financial performance. Together, they explore how to advance and harness the formidable power of data-driven decision-making, elevating businesses to new echelons of excellence.

The Interplay of Integration and Delegation in Firm Organization

In today’s complex global economy, some businesses grapple with fundamental decisions regarding their structure and operations. A core challenge lies in determining when to vertically integrate suppliers and when to maintain external contracts. Recent research by Harvard Business School Professor, Laura Alfaro, and a research team (see the bottom of the page for author details) […]

Scaling Experimentation for a Competitive Edge

In today’s fast-evolving business landscape, the ability to innovate rapidly has become a defining factor for success. Companies like Netflix, Amazon, and Microsoft have leveraged robust experimentation frameworks to enhance decision-making, optimize products, and continue innovating. Iavor Bojinov, Assistant Professor at Harvard Business School and Principal Investigator at the Digital Data Design Institute (D^3) Data […]

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 […]

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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