Dawson Kaaua

Dawson Kaaua
  • Doctoral Candidate

Contact Information

  • office Address:

    526.6 Jon M. Huntsman Hall
    3730 Walnut Street
    Philadelphia, PA 19104

Overview

Dawson Kaaua is a fifth-year doctoral candidate in the Operations Management track. His research focuses on service operations in the public and private sectors and uses both experimental and quasi-experimental methods.

Dawson holds a Bachelor of Arts in Economics with Honors from Stanford University and an MBA in Operations and Information Management and Finance with Honors from The Wharton School where he was a Palmer Scholar and Howard E. Mitchell Fellow. Dawson has industry experience in retail, management consulting, institutional investment, and education.

 

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Research

Teaching

Past Courses

  • OIDD1010 - Introduction To Oidd

    OIDD 101 explores a variety of common quantitative modeling problems that arise frequently in business settings, and discusses how they can be formally modeled and solved with a combination of business insight and computer-based tools. The key topics covered include capacity management, service operations, inventory control, structured decision making, constrained optimization and simulation. This course teaches how to model complex business situations and how to master tools to improve business performance. The goal is to provide a set of foundational skills useful for future coursework atWharton as well as providing an overview of problems and techniques that characterize disciplines that comprise Operations and Information Management.

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Activity

Latest Research

Dawson Kaaua, Santiago Gallino, Christian Terwiesch, S Mehta (Working), The Impact of Waiting Location on Customer Satisfaction: An Empirical Analysis of Preoperative Patient Flow.
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In the News

How Dynamic Electricity Pricing Can Improve Market Efficiency

New research co-authored by Wharton's Arthur van Benthem demonstrates how consumers could benefit from aligning electricity prices with the cost of producing and distributing that power.Read More

Knowledge @ Wharton - 2024/11/12
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