Skip to main content
Official Logo of Columbia Business School
Academics
  • Visit Academics
  • Degree Programs
  • Admissions
  • Tuition & Financial Aid
  • Campus Life
  • Career Management
Faculty & Research
  • Visit Faculty & Research
  • Academic Divisions
  • Search the Directory
  • Research
  • Research Resources
  • Teaching Excellence
Executive Education
  • Visit Executive Education
  • For Organizations
  • For Individuals
  • Program Finder
  • Online Programs
  • Certificates
About Us
  • Visit About Us
  • CBS Directory
  • Events Calendar
  • Leadership
  • Our History
  • The CBS Experience
  • Newsroom
Alumni
  • Visit Alumni
  • Update Your Information
  • Lifetime Network
  • Alumni Benefits
  • Alumni Career Management
  • Women's Circle
  • Alumni Clubs
Insights
  • Visit Insights
  • AI & Transformative Tech
  • Climate
  • Business & Society
  • Entrepreneurship
  • Finance & Investing
  • Magazine
CBS Landing Image
Faculty & Research
  • Academic Divisions
  • Search the Faculty
  • Research
  • Faculty Resources
  • News
  • More 

Marketing

See the latest research, articles and faculty on the Marketing Area of Expertise at Columbia Business School.

Jump to main content

Latest on Marketing

No articles have been found by those filters.

Pagination

  • Page 1
  • Page 2
  • Page 3
  • Page 4
  • Page 5
  • Page 6
  • Current page 7

Marketing Faculty

CBS Faculty Research on Marketing

Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters

Authors
Olivier Toubia, Eric Johnson, Theodoros Evgeniou, and Philippe Delquie
Date
January 1, 2013
Format
Journal Article
Journal
Management Science

We present a method that dynamically designs elicitation questions for estimating preferences, focusing on the parameters of cumulative prospect theory and time discounting models. Typically these parameters are elicited by presenting decision makers with a series of choices between alternatives, gambles or delayed payments. The method dynamically (i.e., adaptively) designs such choices to optimize the information provided by each choice, while leveraging the distribution of the parameters across decision makers (heterogeneity) and capturing response error.

Read More about Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters

Competitive Poaching in Sponsored Search Advertising and Its Strategic Impact on Traditional Advertising

Authors
Amin Sayedi, Kinshuk Jerath, and Kannan Srinivasan
Date
January 1, 2013
Format
Journal Article
Journal
Marketing Science

Traditional advertising, such as TV and print advertising, primarily builds awareness of a firm's product among consumers, whereas sponsored search advertising on a search engine can target consumers closer to making a purchase because they reveal their interest by searching for a relevant keyword.

Read More about Competitive Poaching in Sponsored Search Advertising and Its Strategic Impact on Traditional Advertising

Dynamic Learning in Behavioral Games: A Hidden Markov Mixture of Experts Approach

Authors
Asim Ansari, Ricardo Montoya, and Oded Netzer
Date
December 1, 2012
Format
Journal Article
Journal
Quantitative Marketing and Economics

Over the course of a repeated game, players often exhibit learning in selecting their best response. Research in economics and marketing has identified two key types of learning rules: belief and reinforcement. It has been shown that players use either one of these learning rules or a combination of them, as in the Experience-Weighted Attraction (EWA) model. Accounting for such learning may help in understanding and predicting the outcomes of games.

Read More about Dynamic Learning in Behavioral Games: A Hidden Markov Mixture of Experts Approach

Consumers' Trust in Feelings as Information

Authors
Tamar Avnet, Michel Tuan Pham, and Andrew T. Stephen
Date
December 1, 2012
Format
Journal Article
Journal
Journal of Consumer Research

The diagnosticity of feelings in judgment depends not only on their representativeness and relevance, but also on people's trust in their feelings in general. Trust in feelings is the degree to which individuals believe that their feelings generally point toward the "right" direction in judgments and decisions.

Read More about Consumers' Trust in Feelings as Information

Knowledge Creation in Consumer Research: Multiple Routes, Multiple Criteria

Authors
John Lynch, Joseph Alba, Aradhna Krishna, Vicki Morwitz, and Zeynep Gurhan
Date
October 1, 2012
Format
Journal Article
Journal
Journal of Consumer Psychology

The modal scientific approach in consumer research is to deduce hypotheses from existing theory about relationships between theoretic constructs, test those relationships experimentally, and then show “process” evidence via moderation and mediation. This approach has its advantages, but other styles of research also have much to offer. We distinguish among alternative research styles in terms of their philosophical orientation (theory-driven vs. phenomenon-driven) and their intended contribution (understanding a substantive phenomenon vs. building or expanding theory).

Read More about Knowledge Creation in Consumer Research: Multiple Routes, Multiple Criteria

Feeling the Future: The Emotional Oracle Effect

Authors
Michel Tuan Pham and Andrew T. Stephen
Date
October 1, 2012
Format
Journal Article
Journal
Journal of Consumer Research

Seven studies show that compared to people with lower trust in their feelings, those with higher trust in their feelings were better able to predict the outcome of a wide variety of future events, including (a) future movie successes, (b) the 2008 U.S. Democratic Presidential nominee, (c) the winner of <em>American Idol</em>, (d) movements of the Dow Jones Index, and even (e) the weather.

Read More about Feeling the Future: The Emotional Oracle Effect

State Dependence Effects in Surveys

Authors
Martijn De Jong, Donald Lehmann, and Oded Netzer
Date
October 1, 2012
Format
Journal Article
Journal
Marketing Science

In recent years academic research has focused on understanding and modeling the survey response process. This paper examines an understudied systematic response tendency in surveys: the extent to which observed responses are subject to state dependence, i.e., response carryover from one item to another independent of specific item content. We develop a statistical model that simultaneously accounts for state dependence, item content, and scale usage heterogeneity.

Read More about State Dependence Effects in Surveys

The Impact of Brand Equity on Customer Acquisition, Retention, and Profit Margin

Authors
Florian Stahl, Mark Heitmann, Donald Lehmann, and Scott Neslin
Date
July 1, 2012
Format
Journal Article
Journal
Journal of Marketing

In this report, the authors quantify the strategic relationship between brand management (brand equity) and customer management (the components of CLV), and demonstrate the role that marketing activities play in this relationship. They examine a unique database from the U.S. automobile market, comprised of 10 years of survey-based brand equity measures as well as acquisition rates, retention rates, and customer profitability.

Read More about The Impact of Brand Equity on Customer Acquisition, Retention, and Profit Margin

Sampling Strategies for Information Goods

Authors
Daniel Halbheer, Florian Stahl, and Donald Lehmann
Date
June 1, 2012
Format
Working Paper

This paper analyzes optimal decisions concerning the size of the sample and the price of the paid content for online publishers of digital information goods when sampling serves the dual purpose of disclosing content quality and generating advertising revenue. We show in a reduced-form model how the publisher?s optimal ratio of advertising revenue to sales revenue is linked to characteristics of both the content market and the advertising market.

Read More about Sampling Strategies for Information Goods

Pagination

  • First page 1
  • Ellipsis …
  • Page 22
  • Page 23
  • Page 24
  • Page 25
  • Current page 26
  • Page 27
  • Page 28
  • Page 29
  • Page 30
  • Ellipsis …
  • Last page 63
Official Logo of Columbia Business School

Columbia University in the City of New York
665 West 130th Street, New York, NY 10027
Tel. 212-854-1100

Maps and Directions
    • Centers & Programs
    • Current Students
    • Corporate
    • Directory
    • Support Us
    • Recruiters & Partners
    • Faculty & Staff
    • Newsroom
    • Careers
    • Contact Us
    • Accessibility
    • Privacy & Policy Statements
Back to Top Upward arrow
TOP

© Columbia University

  • X
  • Instagram
  • Facebook
  • YouTube
  • LinkedIn

External CSS

Homepage Breadcrumb Block

Back to top

Accessibility Tools

English French German Italian Spanish Japanese Russian Chinese (Simplified) Chinese (Traditional) Arabic Bengali