Reinventing Corporate Sustainability
In Terrible Beauty, Auden Schendler argues that by focusing on incremental rather than systemic change, the corporate sustainability movement has played into the fossil-fuel industry’s hands.
In Terrible Beauty, Auden Schendler argues that by focusing on incremental rather than systemic change, the corporate sustainability movement has played into the fossil-fuel industry’s hands.
The traveling exhibition The Great Elephant Migration raises awareness about the survival of the elephant species and our mutual coexistence.
A look at innovations taking root in Brazil that preserve endangered ecosystems while fostering socioeconomic equity.
An excerpt from The Frugal Economy on regenerating people, places, and the planet
Business leaders are under pressure to address the climate crisis, but they can’t do so alone. Climate alliances can help leaders and firms be more ambitious, responsible, and effective in driving the systems change necessary to save the planet.
The key to creating a vibrant and sustainable company is to find ways to get all employees personally engaged in day-to-day corporate sustainability efforts.
The era of corporations integrating sustainable practices is being surpassed by a new age of corporations actively transforming the market to make it more sustainable. Open access to this article is made possible by The Regents of the University of Michigan on behalf of the Erb Institute.
For much of its history, Wal-Mart’s corporate management team toiled inside its “Bentonville Bubble,” narrowly focused on operational efficiency, growth, and profits. But now the world's largest retailer has widened its sights, building networks of employees, nonprofits, government agencies, and suppliers to “green” its supply chains. Here's how and why the world’s largest retailer is using a network approach to decrease its environmental footprint – and to increase its profitability.
To do as much good as possible with limited resources, funders should look to woefully underfunded protest movements.
Using artificial intelligence to predict behavior can lead to devastating policy mistakes. Health and development programs must learn to apply causal models that better explain why people behave the way they do to help identify the most effective levers for change.