Stephen Lee

Stephen Lee
  • Visiting Lecturer

Contact Information

  • office Address:

    3620 Locust Walk
    Philadelphia, PA 19104

Teaching

Current Courses

  • MGMT301 - Tmwrk & Intrper Influenc

    Organizations emerge because individuals cannot (or do not want to) accomplish their goals alone. Therefore, an organization is most often defined as a collective oriented toward a common goal. Collaboration --in relationships and in teams -- is the building block of organizational effectiveness. That is, much of your work each day will occur in a social context, and will require you to wield influence (and be influenced). Moreover, over 80% of Fortune 1,000 companies now use teams. The ability to work effectively in teams is thus a critical skill. In this course we will use the latest evidence from the science of organizations to understand an array of tactics that can help you work with others (and manage them) as you strive to attain shared goals, especially in the context of teams. You will develop a portable toolkit of ideas related to managing team decision making, team conflict, team diversity, interpersonal influence and emotional intelligence. This is a cross-listed course. Students may enroll in either MGMT 301 or WH 301.

    MGMT301002 ( Syllabus )

    MGMT301004 ( Syllabus )

    MGMT301006 ( Syllabus )

Knowledge@Wharton

Jeremy Siegel: What’s Ahead for the Stock Market?

Encouraging news on a COVID-19 vaccine, a good election outcome and strong liquidity are positive signs for the year ahead, says Wharton’s Jeremy Siegel.

Knowledge @ Wharton - 11/24/2020
What Will Persuade People to Take a Vaccine?

Behavioral scientists at Wharton and Penn are studying the best communication strategies that nudge people into getting vaccinated for the flu, with implications for controlling the COVID-19 pandemic.

Knowledge @ Wharton - 11/24/2020
Marketing the Future: How Data Analytics Is Changing

Data analytics is at an inflection point as growing concerns about security, privacy, bias and regulation bump up against the benefits of artificial intelligence and machine learning.

Knowledge @ Wharton - 11/23/2020