Innovation Strategy
Seeing Beyond the Blockchain Hype
The transformative potential of blockchain is real, but so are the challenges to its implementation.
The transformative potential of blockchain is real, but so are the challenges to its implementation.
Accelerating compression of both revenues and profits in some businesses can be fatal, and fast.
The challenge we face today is not a “world without work” but a world with rapidly changing work.
Before adopting any new management approach, ask: How well will its values fit our culture?
Faced with rapid global, social, and marketplace changes, companies need effective ways to adapt.
To grasp how artificial intelligence will change organizations, understand how it delivers value.
Understanding these five myths will give you a more realistic view of digital transformation.
Manufacturers thinking about bringing operations back to the U.S. need to weigh the challenges.
AI is expected to be the single most disruptive new capability for companies in the next decade.
Looking at your business as a “journey” could limit your vision in ways you don’t realize.
Digital tools can be used in surprising ways to add value to an organization.
Companies seeking to implement a sustainable business model should address six key problems.
Foresight and timing are crucial elements in responding to disruption.
Successful digital transformation means recognizing and adapting your business to these trends.
Your business may have processes that work now. Does it have agile processes to help it change?
Digital transformation has been positive in many ways, but some long-term trends are troubling.
As technology evolves, managers and organizations will need new skill sets.
This year’s winning article is “Accelerating Projects by Encouraging Help,” by Fabian J. Sting, Christoph H. Loch, and Dirk Stempfhuber.
No, software will not render managers obsolete, but you will need to be more skilled than ever before.
Accenture’s chief executive on the challenges of leading in a world that’s almost impossible to predict.