We use data to advance how organizations make decisions about people, and help leaders operate based on evidence rather than intuition.
This new interdisciplinary initiative focuses on research, thought leadership and education of the next generation of experts in this emerging field.
Going into our 4th year, we often hear that our annual conference is the world’s best on people analytics. Our objective for this conference is to deepen the dialogue between industry and academia, leading to new ideas and relationships.
Past speakers include Nobel Prize winner Daniel Kahneman, soccer’s World Player of the Year Abby Wambach, and Zappos CEO Tony Hsieh, along with leaders from Microsoft, Credit Suisse, Deloitte, and Google. The conference is co-organized by WPA’s competitively selected student team, and runs next on March 30 – 31, 2017 at the Hyatt at the Bellevue in Philadelphia.
Making Behavior Change Stick
Research is our core activity, done largely in partnership with organizations who share our commitment to advancing evidence-based management.
Mark C. Bolino, Adam M. Grant
More than a quarter century ago, organizational scholars began to explore the implications of prosociality in organizations. Three interrelated streams have emerged from this work, which focus on prosocial motives (the desire to benefit others or expend effort out of concern for others), prosocial behaviors (acts that promote/protect the welfare of individuals, groups, or organizations), and prosocial impact…
Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them
Berkeley J. Dietvorst, Joseph P. Simmons,
Although evidence-based algorithmsconsistently outperform human forecasters, people often fail to use them after learning that they are imperfect, a phenomenon known as algorithm aversion. In this paper, we present three studies investigating how to reduce…
John Beshears, Katherine L. Milkman,
In his book Misbehaving: The Making of Behavioral Economics, Richard Thaler writes about “Supposedly Irrelevant Factors” (SIFs), or factors that observably affect economicdecisions but are neglected by neoclassical models of consumer behavior (Thaler 2015). In this article, we highlight an important SIF that is neglected not only by neoclassical models….
Business Radio Presents a People Analytics Special!
Faculty Co-Directors Adam Grant and Cade Massey discuss Adam’s new book “Originals”, including the people analytics behind it, the many lessons within it, and just what makes Adam so productive!
Advancing the practice of people analytics is as important to us as our research. We are continuing to create new educational opportunities for those working in the field, as well as those who would like to enter it.
This is a unique opportunity for an MBA student to work with both a major company and/or large non-profit under the guidance of the People Analytics team.
Applications are taken each year for participation in the competitively selected Wharton People Analytics Conference Team. This group of MBA students works with us to plan and implement the entire conference.
News & Articles
Ask people what’s wrong in American higher education, and you’ll hear about grade inflation. At Harvard a few years ago, a professor complained that the most common grade was an A-. He was quickly corrected: The most common grade at Harvard was an A.
By Matthew Hutson
Computer algorithms outperform humans on many tasks, from selecting baseball recruits to diagnosing illness — Moneyball to mammograms — and yet we irrationally distrust them. In a phenomenon called “algorithm aversion,” a trio of business professors reported in 2015 that when people see that an algorithm for forecasting student performance or airline traffic is imperfect, they refuse to use it — even if they know it outperforms their own forecasts.
Imagine two aspiring entrepreneurs: Meg and Jen. They are equally capable and well-connected, and they are working on equally promising startup ideas. In fact, imagine that Meg and Jen differ in just one respect: Meg is thinking about what a good fallback job would be and how she plans to pursue it if her current startup fails while Jen is not.