Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (56) Arrow Down
Filter Results: (56) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (56)
    • Research  (47)
    • Events  (1)
  • Faculty Publications  (35)

Show Results For

  • All HBS Web  (56)
    • Research  (47)
    • Events  (1)
  • Faculty Publications  (35)
← Page 2 of 56 Results →
  • 2023
  • Working Paper

The Customer Journey as a Source of Information

By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access, firms are placing increased emphasis on first-party data (1PD) for marketing decisions. However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships
Citation
Read Now
Related
Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
  • March 2020
  • Article

Diagnosing Missing Always at Random in Multivariate Data

By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details
Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods
Citation
Find at Harvard
Read Now
Related
Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
  • winter 2003
  • Article

Massively Categorical Variables: Revealing the Information in Zip Codes

We introduce the idea of a massively categorical variable, a variable such as zip code that takes on too many values to be treated in the standard manner, and show how to use it directly as explanatory variables in an econometric model. In an application of this... View Details
Keywords: Strategy; Analytics and Data Science; Behavior; Marketing; Standards; Finance
Citation
Find at Harvard
Read Now
Related
Steenburgh, Thomas J., Andrew Ainslie, and Peder Hans Engebretson. "Massively Categorical Variables: Revealing the Information in Zip Codes." Marketing Science 22, no. 1 (winter 2003): 40–57.
  • Article

Why, When, and How Much to Entertain Consumers in Advertisements?: A Web-based Facial Tracking Field Study

By: Thales Teixeira, Rosalind Picard and Rana el Kaliouby
The presence of positive entertainment (e.g., visual imagery, upbeat music, humor) in TV advertisements can make them more attractive and persuasive. However, little is known about the downsides of using too much entertainment. This research focuses on why, when, and... View Details
Keywords: Face-tracking; Entertainment; Television; Purchase Intent; Commercials; Facial Expressions; Marketing Communication; Advertising; Television Entertainment; Marketing; Advertising Industry
Citation
Find at Harvard
Read Now
Related
Teixeira, Thales, Rosalind Picard, and Rana el Kaliouby. "Why, When, and How Much to Entertain Consumers in Advertisements? A Web-based Facial Tracking Field Study." Marketing Science 33, no. 6 (November–December 2014): 809–827.
  • May 2022
  • Article

When Harry Fired Sally: The Double Standard in Punishing Misconduct

By: Mark Egan, Gregor Matvos and Amit Seru
We examine gender differences in misconduct punishment in the financial advisory industry. We find evidence of a “gender punishment gap”: following an incident of misconduct, female advisers are 20% more likely to lose their jobs and 30% less likely to find new jobs... View Details
Keywords: Financial Advisers; Brokers; Gender Discrimination; Consumer Finance; Financial Misconduct And Fraud; FINRA; Financial Institutions; Employees; Crime and Corruption; Gender; Prejudice and Bias; Personal Finance; Financial Services Industry
Citation
Find at Harvard
Read Now
Related
Egan, Mark, Gregor Matvos, and Amit Seru. "When Harry Fired Sally: The Double Standard in Punishing Misconduct." Journal of Political Economy 130, no. 5 (May 2022): 1184–1248.
  • August 2017
  • Article

Incentives versus Reciprocity: Insights from a Field Experiment

By: Doug J. Chung and Das Narayandas
We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of... View Details
Keywords: Sales Force Compensation; Field Experiment; Heterogeneity; Loss Aversion; Reciprocity; Salesforce Management; Compensation and Benefits
Citation
Find at Harvard
Read Now
Related
Chung, Doug J., and Das Narayandas. "Incentives versus Reciprocity: Insights from a Field Experiment." Journal of Marketing Research (JMR) 54, no. 4 (August 2017): 511–524. (Lead article.)

    Incentives versus Reciprocity: Insights from a Field Experiment

    We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of... View Details

    • 2015
    • Working Paper

    Incentives versus Reciprocity: Insights from a Field Experiment

    By: Doug J. Chung and Das Narayandas
    We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of... View Details
    Keywords: Sales Force Compensation; Field Experiment; Heterogeneity; Loss Aversion; Reciprocity; Motivation and Incentives; Salesforce Management; Compensation and Benefits
    Citation
    Read Now
    Related
    Chung, Doug J., and Das Narayandas. "Incentives versus Reciprocity: Insights from a Field Experiment." Harvard Business School Working Paper, No. 15-084, April 2015. (Revised November 2015.)
    • 2023
    • Article

    Balancing Risk and Reward: An Automated Phased Release Strategy

    By: Yufan Li, Jialiang Mao and Iavor Bojinov
    Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
    Keywords: Product Launch; Mathematical Methods; Product Development
    Citation
    Read Now
    Related
    Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).

      Detecting Routines: Applications to Ridesharing CRM

      Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines--which we define as repeated behaviors with recurring, temporal... View Details
      • April 2024
      • Article

      Detecting Routines: Applications to Ridesharing CRM

      By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
      Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal... View Details
      Keywords: Ride-sharing; Routine; Machine Learning; Customer Relationship Management; Consumer Behavior; Segmentation
      Citation
      Find at Harvard
      Purchase
      Related
      Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.

        Balancing Risk and Reward: An Automated Phased Release Strategy

        Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases... View Details
        • September 1990
        • Article

        Competition on Many Fronts: A Stackelberg Signaling Equilibrium

        By: Jerry R. Green and Jean-Jacques Laffont
        An economic agent, the incumbent, is operating in many environments at the same time. These may be locations, markets, or specific activities. He is informed of the particular conditions relevant to each situation. His action in each case is observable by another... View Details
        Citation
        Find at Harvard
        Read Now
        Related
        Green, Jerry R., and Jean-Jacques Laffont. "Competition on Many Fronts: A Stackelberg Signaling Equilibrium." Games and Economic Behavior 2, no. 3 (September 1990): 247–272.
        • 2009
        • Working Paper

        Do Friends Influence Purchases in a Social Network?

        By: Raghuram Iyengar, Sangman Han and Sunil Gupta

        Social networks, such as Facebook and Myspace have witnessed a rapid growth in their membership. Some of these businesses have tried an advertising-based model with very limited success. However, these businesses have not fully explored the power of their members to... View Details

        Keywords: Marketing; Network Effects; Sales; Power and Influence; Social and Collaborative Networks; Web Sites; South Korea
        Citation
        Read Now
        Related
        Iyengar, Raghuram, Sangman Han, and Sunil Gupta. "Do Friends Influence Purchases in a Social Network?" Harvard Business School Working Paper, No. 09-123, April 2009.

          Jerry R. Green

          Jerry R. Green

          David A. Wells Professor of Political Economy

          John Leverett Professor in the University

          Harvard University

           

          Jerry Green is the John Leverett Professor in the University and the David A. Wells... View Details

          Keywords: aerospace; education industry; insurance industry; professional services
          • Web

          Program Requirements - Doctoral

          Learning (Statistics 195) Probability Theory (Statistics 210) Statistical Inference (Statistics 211) Bayesian Data Analysis (Statistics 220) Incomplete Multivariate Data (Statistics 232) Sequential Decision Making (Statistics 234)... View Details
          • 11 Dec 2007
          • First Look

          First Look: December 11, 2007

          stock prices had been reached. Despite Fisher's poor prediction on that occasion, he played a neglected, but significant role in the growth of the forecasting industry and in the rise of a class of early business analysts. An Interdisciplinary View Details
          Keywords: Martha Lagace
          • 24 Apr 2018
          • First Look

          First Look at New Research and Ideas, April 24, 2018

          An Application to Shopping Mall Sales By: Chung, Doug J., Kyoungwon Seo, and Reo Song Abstract—We propose a Bayesian model of post-entry outcomes. Endogenous firm entries are View Details
          Keywords: Sean Silverthorne
          • 26 Apr 2011
          • First Look

          First Look: April 26

          http://www.hbs.edu/research/pdf/11-106.pdf Signaling to Partially Informed Investors in the Newsvendor Model Authors:Vishal Gaur, Richard Lai, Ananth Raman, and William Schmidt Abstract We investigate a puzzling phenomenon in which firms... View Details
          Keywords: Sean Silverthorne
          • 05 Oct 2017
          • Blog Post

          Working as a Software Engineer in Industrial Technology

          about my previous research in Bayesian decision making, I've been able to work on projects at the Center for Brains, Minds and Machines to explore how Bayesian logic is being adapted to new computational... View Details
          Keywords: Technology
          • ←
          • 1
          • 2
          • 3
          • →
          ǁ
          Campus Map
          Harvard Business School
          Soldiers Field
          Boston, MA 02163
          →Map & Directions
          →More Contact Information
          • Make a Gift
          • Site Map
          • Jobs
          • Harvard University
          • Trademarks
          • Policies
          • Accessibility
          • Digital Accessibility
          Copyright © President & Fellows of Harvard College.