John McCoy

John McCoy
  • Assistant Professor of Marketing

Contact Information

  • office Address:

    766 Jon M. Huntsman Hall
    3730 Walnut Street
    University of Pennsylvania
    Philadelphia, PA 19104

Research Interests: mathematical models of judgment and decision making; computational cognitive science; crowd wisdom; forecasting

Links: Personal Website

Overview

For more information and recent news, please see http://www.jpmccoy.com

John McCoy is an Assistant Professor of Marketing at the Wharton School. His research deals with the processes underlying human judgment and decision making, and applying our knowledge of such processes to problems in marketing. Methodologically, he uses a combination of behavioral experiments and computational modeling, drawing on ideas and techniques from psychology, economics, marketing, Bayesian statistics, and computer science. Much of his current work focuses on better ways to aggregate judgments from multiple individuals, including in situations where the majority may be wrong and the truth may be unverifiable. Popular accounts of his work have appeared in places like the Wall Street Journal, NPR, and the New Yorker.

 

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Teaching

Current Courses

  • MKTG611 - Marketing Management

    This course addresses how to design and implement the best combination of marketing efforts to carry out a firm's strategy in its target markets. Specifically, this course seeks to develop the student's (1) understanding of how the firm can benefit by creating and delivering value to its customers, and stakeholders, and (2) skills in applying the analytical concepts and tools of marketing to such decisions as segmentation and targeting, branding, pricing, distribution, and promotion. The course uses lectures and case discussions, case write-ups, student presentations, and a comprehensive final examination to achieve these objectives.

    MKTG611001 ( Syllabus )

    MKTG611003 ( Syllabus )

    MKTG611005 ( Syllabus )

    MKTG611007 ( Syllabus )

  • MKTG973 - Research Sem Mktg Part A

    This course is taught collectively by the faculty members from the Marketing Department. It is designed to expose Doctoral students to the cutting-edge research in marketing models in order to help them to define and advance their research interests. This course will offer: in-depth discussions on some important topics in marketing by experts in respective areas; tools, and methodologies required for conducting research in those areas; broad exposure to our faculty members and their proven research styles.

    MKTG973301 ( Syllabus )

Past Courses

  • MKTG611 - MARKETING MANAGEMENT

    This course addresses how to design and implement the best combination of marketing efforts to carry out a firm's strategy in its target markets. Specifically, this course seeks to develop the student's (1) understanding of how the firm can benefit by creating and delivering value to its customers, and stakeholders, and (2) skills in applying the analytical concepts and tools of marketing to such decisions as segmentation and targeting, branding, pricing, distribution, and promotion. The course uses lectures and case discussions, case write-ups, student presentations, and a comprehensive final examination to achieve these objectives.

  • MKTG973 - RESEARCH SEM MKTG PART A

    This course is taught collectively by the faculty members from the Marketing Department. It is designed to expose Doctoral students to the cutting-edge research in marketing models in order to help them to define and advance their research interests. This course will offer: in-depth discussions on some important topics in marketing by experts in respective areas; tools, and methodologies required for conducting research in those areas; broad exposure to our faculty members and their proven research styles.

Knowledge@Wharton

Here’s a Better Way to Measure Long-term Shareholder Value

Most executives care about creating long-term shareholder value but haven’t had the right tool to track it. A new performance measure introduced by Wharton’s Nicolaj Siggelkow and INSEAD’s Phebo Wibbens aims to change that.

Knowledge @ Wharton - 2019/12/6
Can We Get Social Media to Work for Society?

Should Facebook and other tech platforms be regulated? Yes, but innovation and regulation must be creatively balanced so that big tech can work for society at large, writes Ravi Bapna in this opinion piece.

Knowledge @ Wharton - 2019/12/6
Equal Health Care for All: A Philosopher’s Answer to a Political Question

An ethically sound health care system requires limits on the private sector, says Wharton's Robert Hughes.

Knowledge @ Wharton - 2019/12/4