The Economics of AI Foundation Models: Openness, Competition, and Governance
Addresses the strategic and governance choices around AI foundation models at the industry level.
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Research mapped to T–W–O
Formal work on generative AI becomes easier to read when it is tied to the right layer.
This page organizes research within the T–W–O framework. A few papers in each layer serve as anchors—work from any lab or institution that sharpens what questions belong there.
Organization
GenAI at the level of structure and governance.
Structure, governance, and strategy that shape where GenAI fits and who owns change.
Generative AI and Organizational Structure in the Knowledge Economy
Looks directly at how GenAI affects the shape and structure of knowledge-work organizations.
View paperWorkflow
How GenAI reshapes sequences of work.
Sequences of tasks, coordination, and operating routines that determine how work actually moves.
Scaling Compassion in Online Disputes: A Field Experiment on Behaviorally Framed Generative AI
Studies how GenAI changes an end-to-end dispute-resolution process across a real platform.
Organizational Ideation with Generative AI: Evidence from Sam's Club
Examines how ideas move through an organizational process when GenAI participates in ideation.
View paperTask
How GenAI changes discrete tasks.
Individual units of work where GenAI changes execution quality, speed, or cost.
Optimizing Prompts for Large Language Models: A Causal Approach
Focuses on improving how a specific GenAI-enabled task is performed through better prompt design.
View paperPersuasion is All You Need: Generative AI-powered Content Marketing and Product Sales
Examines how GenAI affects the content-production and persuasion task inside commercial activity.
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