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  • January 23, 2023
  • Article

Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines

By: Susan Athey, Kristen Grabarz, Michael Luca and Nils Wernerfelt
Public health organizations increasingly use social media advertising campaigns in pursuit of public health goals. In this paper, we evaluate the impact of about $40 million of social media advertisements that were run and experimentally tested on Facebook and... View Details
Keywords: COVID-19 Pandemic; Public Health; Vaccines; Social Media; Advertising; Power and Influence; Health Care and Treatment
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  • 09 Dec 2015
  • Research Event

How Do You Predict Demand and Set Prices For Products Never Sold Before?

predict demand with prescriptive analytics to make tactical decisions?” she said to a packed audience of executives, data scientists, and scholars. “I believe the answer lies in data.” Ferreira presented field work she and colleagues... View Details
Keywords: by Carmen Nobel; Retail; Apparel & Accessories
  • Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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  • 2022
  • Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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  • 2023
  • Working Paper

Learning to Use: Stack Overflow and Technology Adoption

By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies. Using data from Stack Overflow – one of the most popular Q&A websites worldwide – and implementing an instrumental-variable approach, we find that users whose questions... View Details
Keywords: Technology Adoption; Knowledge Sharing
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    Jill J. Avery

    Dr. Jill Avery is a Senior Lecturer of Business Administration and C. Roland Christensen Distinguished Management Educator in the marketing unit at Harvard Business School. She is a respected authority on branding and brand management, customer relationship... View Details

    Keywords: consumer products; arts; advertising; automobiles; retailing; fashion; hotels ＆ motels; food; beverage
    • 2022
    • Article

    How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies

    By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
    We assess how the sudden and widespread shift to working from home during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973 are... View Details
    Keywords: Time-use; Working-from-home; COVID; Managers; Knowledge Workers; Health Pandemics; Time Management
    Related
    • 28 Jun 2007
    • Working Paper Summaries

    Film Rentals and Procrastination: A Study of Intertemporal Reversals in Preferences and Intrapersonal Conflict

    Keywords: by Katy Milkman, Todd Rogers & Max H. Bazerman; Entertainment & Recreation
    • 15 Mar 2016
    • First Look

    March 15, 2016

    Case 516-059 Ocado In 2015, U.K.–based Ocado was the world's largest pure player in the online home-delivery grocery business and was gaining a growing share of the highly competitive U.K. grocery market. Ocado had made heavy investments... View Details
    • 2023
    • Working Paper

    An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

    By: Biyonka Liang and Iavor I. Bojinov
    Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
    Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods
    Related

      Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

      1. Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to... View Details
      • April 2021 (Revised July 2021)
      • Case

      StockX: The Stock Market of Things (Abridged)

      By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
      Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
      Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Fashion Industry; North and Central America; United States; Michigan; Detroit
      Related
      • 05 Apr 2011
      • First Look

      First Look: April 5

      those that return instantaneous results—even when those results are identical. In five experiments that simulate service experiences in the domains of online travel and online dating, we demonstrate the... View Details
      Keywords: Sean Silverthorne
      • 2025
      • Working Paper

      Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

      By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
      Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
      Keywords: AI and Machine Learning; Decision Choices and Conditions
      Related
      • 10 Nov 2015
      • First Look

      November 10, 2015

      multivariate time series model to investigate the interaction between paid search and display ads and calibrate the model using data from a large commercial bank that uses online ads to acquire new checking... View Details
      Keywords: Sean Silverthorne
      • January 2014 (Revised December 2014)
      • Case

      GenapSys: Business Models for the Genome

      By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble

      GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details

      Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation ＆ Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Biotechnology Industry; Pharmaceutical Industry; Technology Industry; Health Industry; Medical Devices and Supplies Industry; United States
      Related
      • 30 Jan 2018
      • First Look

      January 30, 2018

      practice related to AI in developing countries. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52296 December 2017 Journal of Advertising Research Rethinking the Profession Formerly Known as Advertising: How Data... View Details
      Keywords: Sean Silverthorne

        Do Experts or Collective Intelligence Write with More Bias? Evidence from Encyclopædia Britannica and Wikipedia

        Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details
        • 24 Apr 2018
        • First Look

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

        April 2018 Management Science Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits By: Bell, David R., Santiago Gallino, and Antonio Moreno Abstract—Omnichannel environments where customers shop online and offline at... View Details
        Keywords: Sean Silverthorne

          Jeffrey F. Rayport

          Jeffrey F Rayport is a faculty member in the Entrepreneurial Management Unit at Harvard Business School, where he teaches in the School’s MBA and Executive Education Programs and on HBS Online. His primary focus in teaching and research is growth-stage technology... View Details