Ron Berman

Links to my research and publications can be found on my personal website www.ron-berman.com.

Past Courses

• MKTG270 - DGTL SOCIAL & E-COM MKTG

  MKTG 270 explores the digital marketing environment from both a consumer and business perspective. The course provides an overview of various online business models and delves into digital advertising and social media marketing techniques and technologies. A mixture of case studies, guest speakers and assignments, including one that uses real advertising data, translates theory into practice. It is recommended that students enrolling in the course be comfortable using Excel and are knowledgeable in applying regression analysis techniques. Students who would prefer a less technical course may wish to take MKTG 227, Digital Marketing and Electronic Commerce, a half cu course offered by the department.

• MKTG770 - DGTL SOCIAL & E-COM MKTG

  MKTG 770 explores the digital marketing environment from both a consumer and business perspective. The course provides an overview of various online business models and delves into digital advertising and social media marketing techniques and technologies. A mixture of case studies, guest speakers and assignments, including one that uses real advertising data, translates theory into practice. It is recommended that students enrolling in the course be comfortable using Excel and are knowledgeable in applying regression analysis techniques. Students who would prefer a less technical course may wish to take MKTG 727, Digital Marketing and Electronic Commerce, a half cu course offered by the department.

• MKTG955 - 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.

• MKTG972 - ADV TOPICS MKTG PART B

  Taught collectively by the faculty members from the Marketing Department, this course investigates advanced topics in marketing. It is organized in a way that allows students to 1) gain depth in important areas of research identified by faculty; 2) gain exposure to various faculty in marketing and their research values and styles; and 3) develop and advance their own research interests.

• 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.

• Frank M. Bass Dissertation Paper Award, 2014
• ISMS Doctoral Dissertation Proposal Competition, 2014

Knowledge @ Wharton

• How Can Social Media Firms Tackle Hate Speech?, Knowledge @ Wharton - 09/22/2018
• What Marketers Are Doing Wrong in Data Analytics, Knowledge @ Wharton - 08/16/2018
• How Will Targeted Ads Fare in an Era of Data Protection?, Knowledge @ Wharton - 06/22/2018
• What Facebook Can Do to Rebuild Trust, Knowledge @ Wharton - 04/03/2018
• Why the Cambridge Analytica Scandal Is a Watershed Moment for Social Media, Knowledge @ Wharton - 03/22/2018
• Why Amazon’s ‘1-Click’ Ordering Was a Game Changer, Knowledge @ Wharton - 09/14/2017
• Why the Twittersphere Helped Donald Trump Win, Knowledge @ Wharton - 02/03/2017
• Growth vs. Profits: Uber’s Cash Burn Dilemma, Knowledge @ Wharton - 01/24/2017
• Can Snapchat Avoid Twitter’s Slowing Growth Trap?, Knowledge @ Wharton - 10/21/2016
• How a Startup’s ‘Burn Rate’ Influences Its Success, Knowledge @ Wharton - 05/26/2016
• What the Decline in Venture Capital Funding Means for Entrepreneurs, Knowledge @ Wharton - 05/03/2016
• How Can Online Advertisers Get the Most Mileage for Their Money?, Knowledge @ Wharton - 07/27/2015