MIT CISR
Confidence 0.75 · 1 source · last confirmed 2026-04-28
The MIT Center for Information Systems Research is a research center at the MIT Sloan School of Management, focused on how organizations use technology and data to compete and create value. Studies digital business models, IT investment portfolios, AI maturity, and large-enterprise transformation.
Role in the wiki
A primary research source for enterprise transformation in the digital economy — methodologically distinct from McKinsey-style consulting research (which underpins much of the AI Index adoption data). MIT CISR’s lens is stage-based maturity models rather than per-function adoption rates.
Key methodological instruments mentioned in the wiki:
- Future Ready Survey (last published wave used: 2022, N=721) — large-N quantitative input.
- Executive interviews (e.g., 2024: 16 executives at 9 enterprises) — qualitative depth on transitions.
- Combined into maturity scoring (0–100% Total AI Effectiveness scale, banded into stages).
Frameworks attributed to MIT CISR (in the wiki)
- Four Stages of Enterprise AI Maturity — see MIT Sloan article and enterprise-ai-adoption.
- Four S Framework (Strategy / Systems / Synchronization / Stewardship) — challenges to scale Stage 2 → Stage 3.
Notable people (mentioned in this wiki)
- Stephanie Woerner — Principal research scientist at MIT Sloan, Director of MIT CISR.
- Peter Weill — Senior research scientist at MIT Sloan, Chairman of MIT CISR.
- Ina Sebastian — Research scientist at MIT CISR (digital partnering, value creation, value capture).
- Evgeny Káganer — Research collaborator (also professor at IESE Business School).
Open questions
- Funding model and member organizations of CISR (it’s typically a member-funded research center; details to fill in as more sources reference it).
- Earlier Future Ready Survey waves (pre-2022) and how methodology has evolved.