Thinking Like a Savvy Online Bidder
When purchased merchandise get returned, resellers bid for the items "as is" in fast-paced auctions. How does bidder experience influence the process?
Sep 05, 2017

Thinking Like a Savvy Online Bidder

Sep 05, 2017
As Featured In 
Management Science

How to Beat Power Players at Their Own Game

With lenient return policies common, about 9 percent of purchases at brick-and-mortar stores are returned and 25 percent to 30 percent of online orders are sent back yearly in the United States. Where do these items end up? In many cases, the likes of market vendors, wholesale liquidators, eBay PowerSellers and "mom and pop" stores purchase the goods via online auctions and resell the merchandise. The process contributes to big retailers recouping up to 25 percent of an item’s original cost to offset about $260.5 billion per year industrywide in lost sales.

New research from the University of Maryland’s Robert H. Smith School of Business examines a key influencer — the level of bidder experience and savvy — to the bidding process and final sales price. “Bidder inexperience works to benefit the auctioneer and retailer that’s recouping the value of its liquidated products,” says Smith School professor Wedad J. Elmaghraby, co-author of the study with Smith faculty colleague Anandasivam Gopal and 2013 Smith PhD graduate Ali Pilehvar.

The study focuses on liquidated consumer electronics items auctioned and sold “as is” in up-to-1,000 item, noninspectable bundles. As first bidders set the auction tone and trajectory toward final prices, Elmaghraby says, “we find first-bidders with low experience tend to bid smaller, but early.” This spurs other bidders, which increases auction activity and drives up final prices.

But when the low-experience bidder hesitates, Elmaghraby says, the more experienced counterpart tends to come in with a high bid, which influences subsequent low bidding activity and relatively low final sales prices.

Most bidders do their homework to properly estimate the value of the goods by studying relatable, past auction data, Elmaghraby says. The savvy, “power bidders” — a low proportion of B2B auction bidders — tend to bid in multiple auctions concurrently and draw additional data from this “cross-bidding.” They further separate themselves by drawing insight from their own, more robust history of bidding. But their counterparts could close this gap, for example, by strategically monitoring ongoing auctions and just-closed auctions.

Read more: Market Information and Bidder Heterogeneity in Secondary Market Online B2B Auctions is featured in Management Science.

About the Author(s)

Wedad J. Elmaghraby is a Professor of Management Science at the Robert H. Smith School of Business, University of Maryland, College Park. Prior to joining the Smith School, she was on the faculty of the School of Industrial and Systems Engineering at Georgia Institute of Technology and NYU Stern School of Business in the Operations Management group. Her current research interests are (1) the design of competitive procurement auctions in business-to-business markets and (2) pricing in markets where buyers behave strategically. Her current areas of application are e-commerce, logistics, supply chain management in the electronics industry and energy markets.

Anandasivam Gopal

Anand Gopal is a Professor and Van Munching Faculty Fellow at the Robert H. Smith School of Business, University of Maryland. His research interests are broadly in technology platforms, contracts and entrepreneurship. He has specific projects in technology-based entrepreneurship, secondary markets for tech products, mobile platforms and healthcare.

More in


Speediness Isn't The Same For All Physicians
Studying landmark guidelines for the use of coronary stents, researchers explore how quickly physicians respond to and apply new information in their line of work.
Jul 24, 2018
The Value of Outside-In Perspectives at IT Firms
Input from independent board members helps companies stay ahead of new entry threats in the fast-paced world of technology, Maryland Smith research shows.
Jul 20, 2018
A Dynamic Pricing Model for Non-Clairvoyants
Setting prices for trendy items requires guesswork — unless you’re clairvoyant. For everyone else, professor Zhi-Long Chen has a dynamic model.
May 16, 2018