Wharton Club of Northern California - Analytics at Wharton Series: Understanding Worker Burnout and Turnover Using Big Data

Analytics at Wharton Series: Understanding Worker Burnout and Turnover Using Big Data

Led by Professor Ken Moon, this 4th webinar in the 4-part Analytics at Wharton Series explores the phenomena of worker turnover and burnout which have grown increasingly prevalent as firms, marketplaces, and institutions become more flexible and adaptive.

ANALYTICS AT WHARTON SERIES: DATA AND ANALYTICS IN REAL ESTATE - UNDERSTANDING WORKER BURNOUT AND TURNOVER USING BIG DATA
Friday, October 30, 2020

Led by Professor Ken Moon, this 4th webinar in the 4-part Analytics at Wharton Series explores the phenomena of worker turnover and burnout which have grown increasingly prevalent as firms, marketplaces, and institutions become more flexible and adaptive. Drawing from some of the world’s largest factories to its most sophisticated intensive care units, what can data analytics tell us about this challenge, and can it show us a better path forward? Professor Eric Bradlow will moderate Q&A.

Speaker:

Professor Ken Moon: is an Assistant Professor of Operations, Information and Decisions at the Wharton School. Ken develops data analytics and empirical methods for the study of operations and innovations in supply chains, online markets, and workplaces. His recent research focuses on two areas. First, in the context of flexible operations, he studies how productivity and performance are affected by the human elements of knowledge, familiarity, and stress. A key implication is that for operations to be flexible (e.g., on-demand), they must incorporate a degree of stability or hedging against internal disruptions to productivity. Second, he studies informational frictions and their implications for learning and productivity in online markets and supply chains (e.g., learning how to source responsibly).

He has collaborated using large datasets from industry partners, including online platforms and marketplaces, multi-channel retailers, consumer technology manufacturers, and hospital ICUs.

Ken received his undergraduate degree from Stanford University (two majors in mathematics and economics), his JD from the Harvard Law School, and his PhD from the Stanford Graduate School of Business.

Moderator:

Professor Eric Bradlow is the K.P. Chao Professor, Professor of Marketing, Statistics and Education, Chairperson of Wharton’s Marketing Department, and Vice-Dean of Analytics at Wharton. An applied statistician, Professor Bradlow uses high-powered statistical models to solve problems on everything from Internet search engines to product assortment issues. Specifically, his research interests include Bayesian modeling, statistical computing, and developing new methodology for unique data structures with application to business problems.

Eric is a fellow of the American Statistical Association, American Educational Research Association, is past chair of the American Statistical Association Section on Statistics in Marketing, past Editor-in-Chief of Marketing Science, is a past statistical fellow of Bell Labs, and worked at DuPont Corporation's Corporate Marketing and Business Research Division and the Educational Testing Service.

Register Online

Date: Friday, October 30, 2020

Time: 9am -10am PT
Location: Zoom - details to be sent after registration

Cost: Free

Welcome to the Wharton Club of Northern California - Analytics at Wharton Series: Understanding Worker Burnout and Turnover Using Big Data