Smith faculty present their latest research on topics that matter to you and
your organization. Each presentation is followed by an opportunity to network
with alumni and regional business leaders at one of Smith’s convenient local
campuses in Washington, D.C., or Baltimore, Md.
April
13, 2012
Dealing with Difficult Employees
Cynthia Stevens, Associate Professor of Management and Organization
A truly difficult employee can alienate your clients, drag down co-workers
and reduce office productivity. Learn to identify—and deal with—difficult
employees. Stevens provides strategies to help you spot and mitigate employee
behaviors that create conflict and impact team and organizational performance.
May
4, 2012
Trust and Influence: Who Follows Whom?
William Rand, Assistant Professor of Marketing, Director of the Center
for Complexity in Business
Social media marketing can bring big benefits to your company, but not many
companies know how to reach the users who really matter. Rand shows how to
identify online influencers and take advantage of their networks in your brand
management strategy or viral marketing campaigns.
CONCLUDED EVENTS
|
Baltimore, Md.
UM BioPark,
University of Maryland-Baltimore
Life Sciences Conference Center
801 W. Baltimore Street
|
 |
March
16, 2012
When Should You Nickel-and-Dime Your Customers?
Rebecca Hamilton, associate professor of marketing
WATCH VIDEO 
Should you charge separately for shipping to make your base price seem lower,
or bundle shipping into your overall cost? The way you partition or bundle the
price of your product or service affects customer expectations—and satisfaction.
Hamilton explains when to separate charges and when an all-in-one strategy is
best.
|
Washington, D.C.
Ronald Reagan Building
1300 Pennsylvania Avenue, N.W.
Smith School Suite—Concourse Level
|
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March 9, 2012
Raise Your Social Media IQ
Wendy Moe, Associate Professor of Marketing
Companies can use customers’ online reactions to a product or service to
measure the health of their brand. But not all social media data is equally
valuable. Moe explains what portions of the data can be used for intelligent
metrics, and why.
