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.

Skip the Trends: Marketing Starts with Strategy

Wharton@Work

Skip the Trends: Marketing Starts with Strategy

Before you invest in trends, take a step back. They should always be part of a holistic strategy — the core message of Strategic Marketing Essentials. 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 »

Grow Faster, Part 2: Pull Four Levers to Drive Your Innovation Narrative

Nano Tools for Leaders®

Grow Faster, Part 2: Pull Four Levers to Drive Your Innovation Narrative

To bring a growth-affirming innovation narrative to life, new research shows that pulling four levers is most effective. Learn four action steps for the process. 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 »