Featured Operations Articles


How to (Inadvertently) Sabotage Your Organization

Timeless shortcuts to inefficiency, courtesy of a pre-CIA field manual for destroying enemy organizations from the inside.


Self-Driving Companies Are Coming

Automation can go far beyond cars. Self-driving company capabilities are closer than we realize.


Digital Success Requires Breaking Rules

Top-down management is good for building operational excellence but not rapid innovation.


Why Sports Is a Great Proving Ground for Management Ideas

Because of its sharp focus on measurable outcomes, the study of sports analytics brings many of the most critical issues in management into high relief. Through the lens of sports, there is a great deal to learn about leadership, performance management, decision-making, innovation, and, most of all, managing with data. MIT SMR’s sports analytics podcast, Counterpoints, is a great entry point to the playing field of data-driven management practice.

The Drawbacks of Data Collection



How Technology Is Changing Operations

Using AI to Enhance Business Operations

A webinar describing what companies need to effectively use AI and automation for operations.

Can Your Supply Chain Hear Me Now?

Frontiers |

Conversational commerce has the potential to transform the business supply chain.

Transforming Manufacturing and Supply Chains With 4D Printing

Frontiers |

The next transformative emerging technology could be 4D printing.

Navigating a New Industrial Infrastructure

Frontiers |

Converging technologies are realigning how organizations operate in an increasingly connected world.

Putting Analytics to Work

Demystifying Data Monetization

Companies can monetize data internally to optimize operations and client services. They can also leverage that data across various client use cases.

Want the Best Results From AI? Ask a Human

Frontiers |

Companies are adopting artificial intelligence at an accelerated pace — and learning that developing and deploying AI is not like implementing a standard software program. Before diving into AI systems, companies should consider three principles that can greatly improve the chances for a successful outcome. First, they need to recognize that humans and machines are in this together. Second, they need to teach the AI systems with a lot of data. And third, they need to continually test what the systems have learned.


Video Series: Following the Digital Thread

Our eight-part video series explores how integrated digital technologies can transform business.

PROLOGUE: The Path Toward the Digital Enterprise

EPISODE 1: Revolutionizing Supply Chains

EPISODE 2: Creating a Smart Part and Managing Its Life Cycle

EPISODE 3: Augmenting Part Design With Topology Optimization

EPISODE 4: A Digital Safety Net

EPISODE 5: Fabricating Within the Digital Thread

EPISODE 6: Testing and Validation

EPISODE 7: How the Digital Thread Weaves Its Way Through the Business

EPISODE 8: The Digital Thread Takes Flight

EPILOGUE: Beyond Manufacturing