Digital Business

Showing 1-20 of 245

Let Your Digital Strategy Emerge

  • Column

  • Column
  • Read Time: 7 min 

What can digital technologies do to help an organization solve customer problems? And what solutions will customers find valuable? It’s only when leaders wrestle with these questions that a digital strategy can emerge. To get there, organizations need to create a portfolio of business experiments and engage with customers to gain insight into their problems and potential solutions. The intersection between what’s possible and what’s desired is where a business will succeed.

Navigating the Next Wave of Blockchain Innovation: Smart Contracts

Blockchain represents more than just cryptocurrencies and digital cash. The decentralized ledger system provides a platform for smart contracts, which are digital agreements that are fast, secure, and require no third party.

How Platform Strategies Continue to Create Value

  • Blog
  • Read Time: 6 min 

Platform companies continue to surprise and challenge conventional approaches to creating value. The 2018 MIT Platform Strategy Summit brought together innovative leaders who are playing a major role in the changing digital economy. Learn from their experience with five major principles for creating new value with platforms.

advertisement

Agility in the Age of the Cloud

  • Video | Runtime: 0:57:19

In a webinar featuring Google Cloud’s Quentin Hardy, MIT SMR looks at historical precedents of disruptive technologies and how they remade society — and work — in the past. Are we on the brink of the next big technological disruption to business, labor, and education thanks to Big Data and Cloud technologies? And how do managers prepare themselves, their teams, and their organizations for the changes to come?

advertisement

There’s Always a Time Lag (With a Price Tag)

  • Column

  • Column
  • Read Time: 7 min 

Technology changes faster than society can keep up, a pattern now playing out with artificial intelligence. Many CEOs are taking a wait-and-see approach to AI, while others are anxious to barrel forward. In both cases, there’s little conversation about AI’s human costs. Incremental adaption makes it more likely that AI algorithms shared across organizations and geography are spreading their shortcomings. Leaders must act to mitigate these challenges if AI is to benefit society.

Four Ways Jobs Will Respond to Automation

The robots are coming! But counter to popular belief, it’s not just low-paying jobs that are at risk of automation. According to research by Scott Latham and Beth Humberd, predicting which jobs are vulnerable requires analyzing the type of value job holders deliver and the skills they use to deliver it. Workers must understand four paths of job evolution — and factors behind each path — if they hope to adapt.

MIT SMR Summer Must-Reads

  • Blog
  • Read Time: 1 min 

The most popular articles from the MIT SMR archive reflect the depth and range of management challenges our readers face in areas such as innovation, leadership, strategy, and technology. Authors of these “must reads” include MIT Sloan faculty Nelson Repenning and Donald Sull, plus Clayton Christensen, Albert Segars, Michael Schrage, Sam Ransbotham, David Kiron, Philipp Gerbert, and Martin Reeves.

AI-Driven Leadership

  • Column

  • Column
  • Read Time: 7 min 

Not many companies are there yet, but there’s a developing framework for what it takes to lead an AI-driven company. Leaders at the forefront of AI have seven key attributes: They learn the technologies; establish clear business objectives; set an appropriate level of ambition; look beyond pilots and proofs of concept; prepare people for the journey; get the necessary data; and orchestrate collaborative organizations.

advertisement

Global Competition With AI in Business: How China Differs

AI’s largest and most enduring contributions will be in non-technology sectors, and many of them will come from China. Buoyed by the country’s latest five-year plan and enabled by centralized data, Chinese companies are investing aggressively in AI and adapting their business models to make the most of AI’s potential, but unclear business cases and bottlenecks due to lacking technical capabilities hinder adoption.

Why Supply Chains Must Pivot

Even today’s most digitally advanced supply chains still try to predict what will happen, then optimize performance against plan. The problem is, the world is not predictable. For operations teams, the challenge and competitive advantage becomes: how well do you respond and execute against ongoing uncertainty?

Showing 1-20 of 245