MIT Sloan Center for Information Systems Research (CISR)

Abstract:
By 2026, several major SuperShifts—widespread seismic changes such as the development of AI-driven decision systems, rapid tech cycles, the need for new types of workforce skills, and rising demands for trust and transparency—will collide, r…

Abstract:
To survive and thrive in volatile business conditions, organizations increasingly need digital innovation, the process of taking an idea that uses digital technologies from inception to impact. Yet most organizations struggle with digital in…

Abstract:
To survive and thrive in volatile business conditions, organizations increasingly need digital innovation, the process of taking an idea that uses digital technologies from inception to impact. Yet most organizations struggle with digital in…

Abstract:
To survive and thrive in volatile business conditions, organizations increasingly need digital innovation, the process of taking an idea that uses digital technologies from inception to impact. Yet most organizations struggle with digital in…

Abstract:
Real-time businesses are able to make quick, data-driven decisions, enabling them to dramatically outperform competitors. Research points to four key capabilities that the most successful RTBs have: real-time data availability and decision-m…

Abstract:
Artificial intelligence (AI) is rapidly transforming the business landscape, offering immense potential for value creation. However, many companies struggle to effectively implement AI initiatives, limiting their ability to reap the full ben…

Abstract:
MIT CISR research found that by 2024, 72% of large companies’ boards met CISR’s 2019 definition of “digitally savvy.” Only 26% of boards were savvy in cutting-edge AI and emerging technologies—which gave their companies a significant perform…

Abstract:
Generative AI (GenAI) risks have multiplied as organizations progress from GenAI tools and solutions to AI agents—amplified by massive, decentralized demand. But not all risks are alike. This briefing maps the GenAI risk space, identifying w…

Abstract:
Generative AI (GenAI) risks have multiplied as organizations progress from GenAI tools and solutions to AI agents—amplified by massive, decentralized demand. But not all risks are alike. This briefing maps the GenAI risk space, identifying w…

Abstract:
Generative AI (GenAI) risks have multiplied as organizations progress from GenAI tools and solutions to AI agents—amplified by massive, decentralized demand. But not all risks are alike. This briefing maps the GenAI risk space, identifying w…

Abstract:
Generative AI (GenAI) risks have multiplied as organizations progress from GenAI tools and solutions to AI agents—amplified by massive, decentralized demand. But not all risks are alike. This briefing maps the GenAI risk space, identifying w…

Abstract:
Generative AI (GenAI) risks have multiplied as organizations progress from GenAI tools and solutions to AI agents—amplified by massive, decentralized demand. But not all risks are alike. This briefing maps the GenAI risk space, identifying w…