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
Professor Z. John Zhang’s research focuses on targeted pricing and other pricing strategies, competitive strategies, market entry, luxury goods, and channel and retail management. Recent work focuses on a luxury brand’s pricing strategy in the presence of high quality, low price counterfeits, as well as the optimal design of a luxury brand’s online and offline strategies. In addition, his recent research also looks into how it takes a country to create prominent global brands.
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 served as Area Editor for Marketing Science, Management Science, and Quantitative Marketing and Economics in the past, and currently serves as the Area Editor for Management Science and International Journal of Research in Marketing. Professor Zhang has won numerous academic and teaching awards.
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 and Philosophy of Science from Huazhong University of Science and Technology in Hubei, China.
Current Projects: Targeting and channel strategies; behavior-based targeted pricing; demand collection systems.
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 )
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 )
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 )
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 )
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.
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.
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.
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.
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.
Dissertation
TBD
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Knowledge @ Wharton - 2026/02/24