MIT Sloan Center for Information Systems Research (CISR)

Abstract:
Traditional technology governance assumes stable technologies, predictable consequences, and manageable demand. Generative AI (GenAI) upends these assumptions: its pace of adoption outstrips centralized review capacity, while the technology …

Abstract:
Traditional technology governance assumes stable technologies, predictable consequences, and manageable demand. Generative AI (GenAI) upends these assumptions: its pace of adoption outstrips centralized review capacity, while the technology …

Abstract:
In 2018 MIT CISR published the book What’s Your Digital Business Model? based on several years of survey and case study research. In this presentation, Peter presents a provocative business model framework on how we anticipate firms will mak…

Abstract:
In this presentation, Alan unpacks the risks, benefits, and costs associated with each of four IT operating models. He shares how leading organizations’ IT functions support business units whose performance is heavily IT and AI dependent. Th…

Abstract:
MIT CISR introduced a four-stage Enterprise AI Maturity framework in 2024 to help enterprise leaders make sense of the AI landscape and identify how to create value from the technology. Recent survey results show that enterprises are making …

Abstract:
As AI becomes more embedded in enterprises, we are asking the questions “What is a digital colleague?” and “How should they be managed?” There are already enterprises with digital colleagues joining human teams, managing other digital collea…

Abstract:
As organizations become more AI-fueled and pursue complex digital business opportunities, they must have a new system of guardrails that enable them to innovate quickly yet safely. Leaders must also prove that every data byte and model run i…

Abstract:
Big organizations, especially those with big aspirations for leveraging AI technology, increasingly need data assets with high data liquidity (i.e., ease of data asset reuse and recombination) to achieve their aims. In this presentation, Bar…

Abstract:
As AI is increasingly integrated into knowledge work, organizations face a tension: the short-term efficiency gains AI delivers can complicate the longer-term challenge of building their talent pipeline. In addition, the skills that matter m…

Abstract:
In 2018 MIT CISR published the book What’s Your Digital Business Model? based on several years of survey and case study research. In this presentation, Stephanie presents a provocative business model framework on how we anticipate firms will…

Abstract:
High-performing companies are redefining process excellence and business models in the age of AI. Leaders need to decide where (agentic) AI should take a direct role in decision-making, acceptable autonomy, and the KPIs used to track value. …

Abstract:
As AI becomes more embedded in enterprises, we are asking the questions “What is a digital colleague?” and “How should they be managed?” There are already enterprises with digital colleagues joining human teams, managing other digital collea…