Thought Leadership

At Wharton, we believe that knowledge is the muscle of business. Our 225+ faculty, as well as 20 research centers and initiatives, are the brain trust that powers this engine. Wharton thought leadership crosses multiple disciplines and is available to you in a variety of ways — academic research, books, interviews, and more. Immerse yourself in Wharton knowledge, and gain valuable business insight that can help you achieve your goals within your own organization today.

Closing the Gap Between Innovation and Execution

Wharton@Work

Closing the Gap Between Innovation and Execution

To capitalize on great ideas, choose the most promising ones, vet them, and get management’s buy-in. Close the gap between innovation and execution at Wharton. Read more »

For the Win: Using Connected Strategies to Gain a Competitive Advantage

KNOWLEDE@WHARTON

For the Win: Using Connected Strategies to Gain a Competitive Advantage

In an increasingly competitive marketplace, it’s no longer good enough for company to sell a product through a one-time transaction with shoppers they may never see again. Wharton professor Nicolaj Siggelkow and Christian Terwiesch explain how businesses can create more value for themselves and their customers if they learn to develop a connected strategy. Read more »

Getting Value from Customer Analytics: What Every Leader Needs to Know

Nano Tools for Leaders®

Getting Value from Customer Analytics: What Every Leader Needs to Know

Organizations that leverage customer data outperform peers by 85 percent in sales growth. Four Action Steps explain how to employ data your organization already has. Read more »

Wharton Digital Press: A Humans Guide To Machine Intelligence

WHARTON DIGITAL PRESS

A Human’s Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control

Wharton professor and tech entrepreneur Kartik Hosanagar surveys the brave new world of algorithmic decision-making in his new book. Drawing on his professional experience designing algorithms–and on history, computer science, and psychology–he explores how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. Read More »