Tom Spencer

MARCH 17, 2023

One example of a company that embodies Porter’s approach is Patagonia, an outdoor clothing company, which is committed to creating high-quality products as well as protecting the environment. Investment banks made huge profits along the way, and often knew that these securities were overvalued and going to fail.

Ethics 78

Ethics Financial Cash Flow Real Estate 78

Tom Spencer

MAY 26, 2023

With a network of food banks and partnerships with local organisations, Feeding America has been able to distribute billions of meals to families in need. Measurable Impact Partnering with a non-profit that has measurable metrics for success is crucial to ensuring that the partnership has a meaningful impact.

Financial 88

Financial Metrics Examples Operations 88

Harvard Business

DECEMBER 1, 2016

As the newly released 2016 Empathy Index demonstrates, empathy, which is about understanding our emotional impact on others and making change as a result, is more important to a successful business than it has ever been, correlating to growth, productivity, and earnings per employee. This year we added a carbon metric.

Company 28

Company Ethics Methodologies Metrics 28

Harvard Business

OCTOBER 10, 2017

Every step of the process was measured, and real-time metrics were easily accessible. When Bernstein hid a set of production lines from managers’ view, the performance of employees on those lines increased by 10% to 15%. They will represent the products more consistently. Metrics emphasized speed.

Metrics 40

Metrics Engineering Operations Sales 40

Harvard Business

JULY 20, 2016

against the average scores for those metrics from all the executives in our worldwide database. Japan’s educational institutions and cultural work ethic give its managers a jump-start in their careers, but most companies don’t continue the development process as far as it could go. What we found was an incredible paradox.

Turnaround 28

Turnaround Engineering Leadership Case Interview 28

Harvard Business

JULY 6, 2018

Who should be involved in decisions regarding business impact, regulatory compliance, technical approach, and even ethical values when companies integrate machine learning into business operations? It’s important to monitor for bias both before and after a system goes into production, and to take action to address unintended treatment.

Data 28

Data System Intellectual Property Ethics 28