Z. John Zhang

Z. John Zhang
  • Tsai Wan-Tsai Professor
  • Professor of Marketing
  • Founding Director, Penn Wharton China Center

Contact Information

  • office Address:

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

Research Interests: channel and retail management., competitive strategies, market entry, targeted pricing and other pricing strategies

Links: CV

Overview

Professor Z. John Zhang’s research focuses on targeted pricing and other pricing strategies, competitive strategies, market entry and channel and retail management. Recent work probed the complex, unintended pitfalls of targeted pricing – the process of targeting a competitor’s customers with lower prices – in the fast-moving Internet age. Zhang’s research suggested that while this approach isn’t for every business, it can be an effective tool under the right circumstances. Zhang also provided guidelines to help companies understand when targeted pricing might play an effective role in their marketing strategy.

Professor Zhang’s research has been published in top-tier academic journals including Marketing Science, Management Science and the Journal of Marketing Research. He also serves as Area Editor for Marketing Science, Management Scienceand Quantitative Marketing and Economics, and has won numerous academic and teaching awards.

Professor Zhang currently teaches Marketing Management to EMTM students, and Pricing Strategies to undergraduate and MBA. He also teaches pricing strategies to executives in China in Chinese.

Professor Zhang received a PhD and MA in economics from the University of Michigan , a PhD and MA in History and Sociology of Science and Technology from the University of Pennsylvania , and a BA in Engineering Automation from Huazhong University of Science and Technology in Hubei, China.

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Research

Current Projects: Targeting and channel strategies; behavior-based targeted pricing; demand collection systems.

Teaching

Current Courses (Spring 2026)

  • MKTG2540 - Pricing Policy

    The pricing decision process including economic, marketing, and behavioral phenomena which constitute the environment for pricing decisions and the information and analytic tools useful to the decision maker.

    MKTG2540402 ( Syllabus )

  • MKTG2880 - Pricing Strategies

    This course is designed to equip students with the concepts, techniques, and latest thinking on pricing issues, with an emphasis on ways in which to help a firm improve its pricing. The orientation of the course is about practice of pricing, not theory. We will focus on how firms can improve profitability through pricing, look at how firms set their prices and how to improve current practices to increase profitability. The first part of the course focuses on how to analyze costs, customers, and competitors in order to formulate proactive pricing strategies. The second part focuses on price promotions, price bundling, price discrimination, versioning, nonlinear pricing, pricing through a distribution channel, dynamic pricing, etc.

    MKTG2880001 ( Syllabus )

  • MKTG7540 - Pricing Policy

    The course provides a systematic presentation of the factors to be considered when setting price, and shows how pricing alternatives are developed. Analytical methods are developed and new approaches are explored for solving pricing decisions.

    MKTG7540002 ( Syllabus )

    MKTG7540402 ( Syllabus )

  • MKTG9550 - Econ/or Models In Mktg B

    This is a continuation of MKTG 954. This doctoral seminar reviews analytical models relevant to improving various aspects of marketing decisions such as new product launch, product line design, pricing strategy, advertising decisions, sales force organization and compensation, distribution channel design and promotion decisions. The primary focus will be on analytical models. The seminar will introduce the students to various types of analytical models used in research in marketing, including game theory models for competitive analysis, agency theory models for improving organization design and incentives within organizations, and optimization methods to improve decision making and resource allocation. The course will enable students to become familiar with applications of these techniques in the marketing literature and prepare the students to apply these and other analytical approaches to research problems that are of interest to the students.

    MKTG9550302 ( Syllabus )

All Courses

  • MKTG2540 - Pricing Policy

    The pricing decision process including economic, marketing, and behavioral phenomena which constitute the environment for pricing decisions and the information and analytic tools useful to the decision maker.

  • MKTG2880 - Pricing Strategies

    This course is designed to equip students with the concepts, techniques, and latest thinking on pricing issues, with an emphasis on ways in which to help a firm improve its pricing. The orientation of the course is about practice of pricing, not theory. We will focus on how firms can improve profitability through pricing, look at how firms set their prices and how to improve current practices to increase profitability. The first part of the course focuses on how to analyze costs, customers, and competitors in order to formulate proactive pricing strategies. The second part focuses on price promotions, price bundling, price discrimination, versioning, nonlinear pricing, pricing through a distribution channel, dynamic pricing, etc.

  • MKTG3990 - Independent Study

  • MKTG7540 - Pricing Policy

    The course provides a systematic presentation of the factors to be considered when setting price, and shows how pricing alternatives are developed. Analytical methods are developed and new approaches are explored for solving pricing decisions.

  • MKTG8990 - Independent Study

    A student contemplating an independent study project must first find a faculty member who agrees to supervise and approve the student's written proposal as an independent study (MKTG 899). If a student wishes the proposed work to be used to meet the ASP requirement, he/she should then submit the approved proposal to the MBA adviser who will determine if it is an appropriate substitute. Such substitutions will only be approved prior to the beginning of the semester.

  • MKTG9550 - Econ/Or Models in Mktg B

    This is a continuation of MKTG 954. This doctoral seminar reviews analytical models relevant to improving various aspects of marketing decisions such as new product launch, product line design, pricing strategy, advertising decisions, sales force organization and compensation, distribution channel design and promotion decisions. The primary focus will be on analytical models. The seminar will introduce the students to various types of analytical models used in research in marketing, including game theory models for competitive analysis, agency theory models for improving organization design and incentives within organizations, and optimization methods to improve decision making and resource allocation. The course will enable students to become familiar with applications of these techniques in the marketing literature and prepare the students to apply these and other analytical approaches to research problems that are of interest to the students.

  • MKTG9950 - Dissertation

    Dissertation

  • WH2160 - Global Modular Course

    TBD

Awards and Honors

  • Finalist for the Long Term Impact Award, the INFORMS Society for Marketing Science., 2026
  • Wharton MBA Teaching Awards, 2026
  • Wharton MBA Teaching Awards, 2026
  • Finalist for the O’Dell Award for the Most Impactful JMR Paper Five Years Later, 2007
  • Wharton EMBA Electives Teaching Award., 2003
  • John Little Award for the Best Paper in Marketing Science, 2001
  • Frank Bass Award for the Best Dissertation Paper, 2001
  • Eugene Lang Research Fellowship, Columbia University, 2000
  • Eugene Lang Research Fellowship, Columbia University, 1999
  • Rackham Fellowship, University of Michigan, 1992
  • Maas Research Fellowship, University of Michigan, 1990
  • Pensfield Fellowship, University of Pennsylvania, 1987
  • The Newcomen Award for Best Essay in History of Technology, 1987
  • Mellon Fellowship, University of Pennsylvania, 1986
  • Dean’s Fellowship, University of Pennsylvania, 1985

Activity

Latest Research

Vibhanshu Abhishek, Kinshuk Jerath, Z. John Zhang (Forthcoming), Platform or Wholesale: Channel Structures in Electronic Retailing, CIST 2011.
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