When More Is Not Better audiobook cover - Through everyday stories, research, and practical examples, this narration invites listeners to see the economy not as a flawless machine, but as a living system—one that can become fairer and more resilient when citizens, leaders, and educators work together with steady intention.

When More Is Not Better

Through everyday stories, research, and practical examples, this narration invites listeners to see the economy not as a flawless machine, but as a living system—one that can become fairer and more resilient when citizens, leaders, and educators work together with steady intention.

Roger L. Martin

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When More Is Not Better Summary & Overview

This audio-friendly summary explores a central idea: many people have been taught to think of the economy as a predictable machine, something experts can tune and control. Yet real lives—like underpaid teachers working second jobs—suggest a different reality. When the system rewards a few while leaving many stuck, frustration grows, trust erodes, and democratic capitalism itself becomes fragile.

Across seven chapters, the narration gently reframes the economy as a complex, evolving system more like nature than machinery. It offers lessons from research, history, business, politics, and education, and ends with grounded ways citizens can participate—through purchases, collective action, and voting with care—to help build a more balanced and hopeful future.

Who Should Listen to When More Is Not Better?

  • Listeners who feel confused or discouraged about today’s economy and want a clearer, calmer way to understand what’s happening.
  • Educators, managers, and policy-minded citizens who want practical, humane ideas for strengthening democratic capitalism through balance, resilience, and long-term thinking.

About the Author: Roger L. Martin

Roger L. Martin is a business thinker and researcher associated with the Martin Prosperity Institute, known for studying how democratic capitalism affects the economic lives of everyday people and for challenging the idea that markets behave like predictable machines.

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