Nobody Is Smarter than Everybody

Why Self-Managed Teams Make Better Decisions and Deliver Extraordinary Results

De: Rod Collins

Narrado por: Robert Plank

Duración: 6 h y 11 m

Resumen del Editor

Nobody Is Smarter Than Everybody questions the conventional thinking that prescribes how we organize work. For well over one hundred years, the centralized top-down hierarchy has served as the prototypical model for managing the work of large numbers of people.

Despite its longstanding presence in everyday social life, the centralized top-down hierarchy is an idea whose time has passed. The notion that the most effective way to organize the work of large numbers of people is to leverage the intelligence of an elite few by giving them command-and-control authority is no longer a sustainable proposition. That’s because, in our new Digital Age, the world is changing much faster than any single person or any elite group of like-minded individuals can absorb.

The book highlights the sudden unprecedented challenges of a radically different business world, describes why conventional management models are ill-equipped to meet these challenges, and acquaints listeners with a new organizational paradigm—the self-managed peer-to-peer network—where leadership and decision-making are exercised by teams rather than individuals. The book spotlights three organizations that have decades of experience in using collective intelligence and shared power to assure their longevity as they navigate business environments continually transformed by increasing change and escalating complexity.

Nobody Is Smarter Than Everybody is for leaders who are open to learning about the extraordinary advantages that self-managed networks provide through better and faster problem solving, more effective and efficient work processes, and consistent customer satisfaction and profitability. You will become proficient with practical steps you can take to build organizations that can change as fast as the world around you.

©2024 Rod Collins (P)2024 Rod Collins