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MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. MIT CISR research scientists and collaborators from around the world produce rigorous academic research using a variety of methods. The relevance of the research is ensured by the active participation of member organizations from a range of industries. Insights are disseminated through research publications and events.
As organizations continue to explore the potential of generative artificial intelligence (GenAI) tools and solutions, they now also face the emergence of AI agents. In this project we will explore how organizations approach the potential benefits of AI agents with the necessary oversight to ensure alignment with strategic objectives and organizational values.
Big organizations, especially those with big aspirations for leveraging AI technology, increasingly need data assets with high data liquidity to achieve their aims. In this project we will identify the current states in organizations of data asset experience, digital data assets, data liquidity investments, and data asset reuse and recombination.
Powerful business processes are at the core of the future-ready company, and a requirement for automation at scale. AI offers fundamentally new opportunities for the design, execution, and management of processes to achieve excellence in both operations and customer experience. In this project we will examine how high-performing companies take process knowledge to the next level with AI.
In 2024 we identified that real-time businesses outperform their competitors in every industry. In this year's project, collaborating with IFS, we will study the key capabilities of companies that operate more in real time than their competitors and the financial impacts.
This project is a continuation of MIT CISR’s 2024 research project on What’s Next: Becoming a Real-Time Business.
As organizations become more AI-fueled and pursue complex digital business opportunities, they must have sufficient data and AI capabilities—and guardrails that keep them on course. In this project we will explore contemporary acceptable data use management challenges—and what responses leaders are finding to be effective.
In previous MIT CISR research, we demonstrated significant performance impacts from moving from silos and spaghetti to curated and nurtured platforms. We also found several ways to generate value from digital platforms. In this year's project we will explore the next iteration of the platform research: identifying the different types of digital assets that will create value in the next three years.
This project is a continuation of MIT CISR’s 2024 research project on Successful Enterprise-Based Platform Businesses.
In earlier research, we studied organizations that have created an organizational capability to enable multiple initiatives to realize value from their innovation by leveraging shared resources, which we call scaling at scale. In this year’s project, we will collect and analyze survey data regarding components that contribute to a scaling-at-scale capability.
This project is a continuation of MIT CISR’s 2024 research project on Boosting the Strategic Impact of Digital Innovations: Essential Practices.
As IT functions evolve to service increasingly digital business operations, the IT operating model is changing. This year's project will take a deep dive into different types of IT operating models to study how they support organizations in capturing value from digital technologies.
This project is a continuation of MIT CISR’s 2024 research project on Organizational IT of the Future.
In 2024, we created a four-stage enterprise AI maturity model based on data from 721 companies and 9 case studies. In this project we will pursue new data and conduct new case studies to identify changes in how companies are creating enterprise value from AI and incorporate updates into the model.
In 2018, MIT CISR researchers Peter Weill and Stephanie Woerner authored a book called What’s Your Digital Business Model? In this project they will update that research to study how AI can enable new and different business models and how it might improve existing business models. The goal is to create and validate a framework for how enterprises can create value in the era of AI.
In 2024, MIT CISR research showed that organizations increasingly integrated generative artificial intelligence (GenAI) into the workplace. In this year's project we will explore the evolving relationship between knowledge workers and AI, focusing on how AI influences the employee experience, job design, and skills development.
This project is a continuation of MIT CISR’s 2024 research project on AI at Work: Transforming the Employee Experience.
MIT CISR research is funded by the more than seventy-five member organizations that support our work and participate in our consortium.
MIT CISR wishes to thank all of our associate members for their support and contributions.
MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We provide insights on how organizations effectively realize value from approaches such as digital business transformation, data monetization, business ecosystems, and the digital workplace. Founded in 1974 and grounded in MIT’s tradition of combining academic knowledge and practical purpose, we work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.