Gad Allon is the Jeffrey A. Keswin Professor and Professor of Operations, Information and Decisions, and the director of the Management and Technology Program at the university of Pennsylvania.
He received his PhD in Management Science from Columbia Business School in New York and ... more
Gad Allon is the Jeffrey A. Keswin Professor and Professor of Operations, Information and Decisions, and the director of the Management and Technology Program at the university of Pennsylvania.
He received his PhD in Management Science from Columbia Business School in New York and holds a Bachelor and Master degree from the Israeli Institute of Technology.
His research interests include operations management in general, and service operations and operations strategy in particular. Professor Allon has been studying models of information sharing among firms and customers both in service and retail settings, as well as competition models in the service industry. His articles have appeared in leading journals, including Management Science, Manufacturing and Service Operations Management and Operations Research. Professor Allon won the 2011 “Wickham Skinner Early-Career Research Award” of the Production and Operations Management Society. He is the Operations Management Department Editor of Management Science and serves on the editorial board of several journals.
Gad is an award-winning educator, teaching courses on scaling operations and operations strategy and was recently named among the “World’s Top 40 B-School professors under the age of 40.” He has also been an innovative leader in many educational technology initiatives. He is the co-founder of ForClass, a platform that enables professors to drive higher student engagement and accountability in their classrooms. Professor Allon regularly consults firms both on service strategy and operations strategy.
lessAAPL | Apple Inc. |
AHONY | KONINKLIJKE AHOLD |
AMZN | Amazon.com Inc. |
ANTM | Anthem, Inc. |
BA | The Boeing Company |
BAC | Bank of America Corporation |
CAT | Caterpillar Inc. |
F | Ford Motor Company |
FAN | FirstTrust Global Wind Energy ETF |
GE | General Electric Company |
HMC | Honda Motor Co. Ltd. |
JWN | Nordstrom Inc. |
LULU | lululemon athletica inc. |
LUV | Southwest Airlines Co. |
M | Macy's Inc. |
MCD | McDonald's Corporation |
OPEN | Opendoor Technologies Inc. |
PGJ | PowerShares Gldn Dragon Halter USX China |
RYAAY | Ryanair Holdings PLC |
SBUX | Starbucks Corporation |
SEA | Invesco Shipping ETF |
STX | Seagate Technology. |
TM | Toyota Motor Corporation |
UNP | Union Pacific Corporation |
WMT | Wal-Mart Stores Inc. |
Jeffrey A. Keswin Professor, and Professor of Operations, Information and Decisions | |
The Wharton School, University of Pennsylvania | |
July 2016 - Present (6 years 1 month) |
Co-Founder and Chief Product Officer | |
ForClass | |
2013 - Present (9 years 7 months) |
Professor of Managerial Economics, Decisions Sciences and Operations Management | |
Kellogg School Of Management | |
September 2012 - July 2016 (3 years 11 months) |
Columbia University - Columbia Business School | |
Doctor of Philosophy (PhD) | |
2001 / 2005 | |
Decisions Risk and Operations |
How Much Is a Reduction of Your Customers' Wait Worth? An Empirical Study of the Fast-Food Drive-Thru Industry Based on Structural Estimation Methods | |
Gad Allon, Margaret Pierson, Awi Federgruen | |
09/02/2011 | |
In many service industries, companies compete with each other on the basis of the waiting time their customers experience, along with other strategic instruments such as the price they charge for their service. The objective of this paper is to conduct an empirical study of an important industry to measure to what extent waiting time performance impacts different firms' market shares and price decisions. We report on a large-scale empirical industrial organization study in which the demand equations for fast-food drive-thru restaurants in Cook County are estimated based on so-called structural estimation methods. Our results confirm the belief expressed by industry experts, that in the fast-food drive-thru industry customers trade off price and waiting time. More interestingly, our estimates indicate that consumers attribute a very high cost to the time they spend waiting. |
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