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      • 2024
      • Article

      Learning Under Random Distributional Shifts

      By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
      Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details
      Keywords: AI and Machine Learning; Refugees; Employment
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      Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
      • 2024
      • Working Paper

      The New Digital Divide

      By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
      We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
      Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
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      Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.
      • 2024
      • Working Paper

      The Operational Impact of Customer Location in On-Demand Services

      By: Natalie Epstein, Santiago Gallino and Antonio Moreno
      The rapid growth of on-demand delivery services, particularly in the food and grocery sectors, has driven the expansion of hyperlocal fulfillment centers (FCs). This paper uses data from an on-demand grocery delivery platform in Latin America to assess how customer... View Details
      Keywords: Consumer Behavior; Logistics; Geographic Location; Service Delivery; Quality; Retail Industry; Latin America
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      Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "The Operational Impact of Customer Location in On-Demand Services." Working Paper, September 2024.
      • September–October 2024
      • Article

      Where Data-Driven Decision-Making Can Go Wrong

      By: Michael Luca and Amy C. Edmondson
      When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
      Keywords: Information; Analytics and Data Science; Analysis; Decision Making
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      Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
      • 2024
      • Working Paper

      Determinants of Top-Down Sabotage

      By: Hashim Zaman and Karim R. Lakhani
      We investigate the conditions that motivate managers to impede the growth of talented subordinates due to fears of future competition for their own positions. Our research expands on existing tournament and contest theory literature that considers peer-to-peer sabotage... View Details
      Keywords: Succession Planning; Organizational Hierarchy; Compensation; Promotions; Tournaments; Talent and Talent Management; Organizational Structure; Employee Relationship Management; Performance Evaluation; Organizational Culture; Management Skills
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      Zaman, Hashim, and Karim R. Lakhani. "Determinants of Top-Down Sabotage." Harvard Business School Working Paper, No. 25-007, August 2024. (Revised December 2024.)
      • August 2024
      • Case

      The Walt Disney Company: Management Guidance

      By: Joseph Pacelli and James Weber
      In November 2023, financial analyst Aurora Fee was forecasting The Walt Disney Company’s earnings and stock price, with the goal of providing an investment recommendation to her clients. Disney, one of the world’s largest media and entertainment companies, had just... View Details
      Keywords: Valuation; Accounting; Investment; Communication; Forecasting and Prediction; Business Earnings; Growth and Development Strategy; Financial Services Industry; Entertainment and Recreation Industry; United States
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      Pacelli, Joseph, and James Weber. "The Walt Disney Company: Management Guidance." Harvard Business School Case 125-027, August 2024.
      • 2024
      • Case

      EPCorp: What Story Does the Data Tell?

      By: Jacob M. Cook
      In EPCorp: What Story Does the Data Tell?, the Quick Case begins with Shivani Bahl researching problems with her company's website so that she can begin to analyze which option would help EPCorp most: selling all its products on Amazon or improving its own data... View Details
      Keywords: Distribution Channels; E-commerce; Analytics and Data Science; Decision Making
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      Cook, Jacob M. "EPCorp: What Story Does the Data Tell?" Harvard Business Publishing Case, 2024.
      • 2024
      • Article

      Crucibles, Multiple Sensitive Periods, and Career Progression

      By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
      We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
      Keywords: Military Service; Personal Development and Career; Transformation; Power and Influence; Learning; Human Capital
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      Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Crucibles, Multiple Sensitive Periods, and Career Progression." Academy of Management Proceedings (2024).
      • August 2024
      • Article

      How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?

      By: Leemore S. Dafny, Kate Ho and Edward Kong
      Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by... View Details
      Keywords: Prescription Drugs; Coupons; Impact; Health Care and Treatment; Markets; Price; Spending; Pharmaceutical Industry; United States
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      Dafny, Leemore S., Kate Ho, and Edward Kong. "How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?" American Economic Journal: Economic Policy 16, no. 3 (August 2024): 314–346.
      • 2024
      • Working Paper

      People, Practices, and Productivity: A Review of New Advances in Personnel Economics

      By: Mitchell Hoffman and Christopher T. Stanton
      This chapter surveys recent advances in personnel economics. We begin by presenting evidence showing substantial and persistent productivity variation among workers in the same roles. We discuss new research on incentives and compensation; hiring practices; the... View Details
      Keywords: Employees; Labor
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      Hoffman, Mitchell, and Christopher T. Stanton. "People, Practices, and Productivity: A Review of New Advances in Personnel Economics." NBER Working Paper Series, No. 32849, August 2024.
      • August 20, 2024
      • Article

      Sexual Assault Victims Face a Penalty for Adjacent Consent

      By: Jillian J. Jordan and Roseanna Sommers
      Across 11 experimental studies (n = 12,257), we show that female victims of sexual assault are blamed more and seen as less morally virtuous if their assault follows voluntary sexual intimacy, a factor we term “adjacent consent”. Moreover, we illuminate a... View Details
      Keywords: Perception; Prejudice and Bias; Moral Sensibility; Crime and Corruption; Social Issues
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      Jordan, Jillian J., and Roseanna Sommers. "Sexual Assault Victims Face a Penalty for Adjacent Consent." Proceedings of the National Academy of Sciences 121, no. 34 (August 20, 2024).
      • 2024
      • Working Paper

      Smaller than We Thought? The Effect of Automatic Savings Policies

      By: James J. Choi, David Laibson, Jordan Cammarota, Richard Lombardo and John Beshears
      Medium- and long-run dynamics undermine the effect of automatic enrollment and default savings-rate auto-escalation on retirement savings. Our analysis of 401(k) plans incorporates the facts that employees frequently leave firms (often before matching contributions... View Details
      Keywords: Personal Finance; Saving; Retirement; Behavioral Finance; Compensation and Benefits
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      Choi, James J., David Laibson, Jordan Cammarota, Richard Lombardo, and John Beshears. "Smaller than We Thought? The Effect of Automatic Savings Policies." Working Paper.
      • July 2024 (Revised January 2025)
      • Case

      Dynamic Pricing at Wendy's: Where's the Beef?

      By: Elie Ofek, Alicia Dadlani and Martha Hostetter
      In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details
      Keywords: Dynamic Pricing; Marketing Strategy; Price; Technology Adoption; Consumer Behavior; AI and Machine Learning; Customer Focus and Relationships; Policy; Food and Beverage Industry
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      Ofek, Elie, Alicia Dadlani, and Martha Hostetter. "Dynamic Pricing at Wendy's: Where's the Beef?" Harvard Business School Case 525-010, July 2024. (Revised January 2025.)
      • July 2024
      • Case

      Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones

      By: Lauren Cohen, Richard Ryffel, Grace Headinger and Sophia Pan
      Edward Jones, a wealth management advisory firm that prided itself on its interpersonal connections and face-to-face interactions, was eager to augment their services with AI capabilities. Built on 1-to-1 close-knit relationships, the firm had more than 15,000 offices... View Details
      Keywords: Fintech; Innovation And Strategy; Financial Advisors; Big Data; Artificial Intelligence; Digitization; Financial Institutions; Business Strategy; Competitive Advantage; Technology Adoption; Business Plan; Technological Innovation; Interpersonal Communication; Communication Intention and Meaning; Communication Strategy; Transformation; Employee Stock Ownership Plan; Disruptive Innovation; Innovation Strategy; Innovation and Management; Innovation Leadership; Knowledge Acquisition; Knowledge Use and Leverage; Customer Relationship Management; AI and Machine Learning; Digital Strategy; Financial Services Industry; St. Louis; Missouri; United States; Canada
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      Cohen, Lauren, Richard Ryffel, Grace Headinger, and Sophia Pan. "Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones." Harvard Business School Case 225-009, July 2024.
      • July, 2024
      • Article

      Consumer Protection in an Online World: An Analysis of Occupational Licensing

      By: Chiara Farronato, Andrey Fradkin, Bradley Larsen and Erik Brynjolfsson
      We study the demand and supply implications of occupational licensing using transaction-level data from a large online platform for home improvement services. We find that demand is more responsive to a professional's reviews than to the professional's... View Details
      Keywords: Occupational Licensing; Consumer Protection; Perception; Experience and Expertise; Public Opinion; Governing Rules, Regulations, and Reforms; Demand and Consumers
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      Farronato, Chiara, Andrey Fradkin, Bradley Larsen, and Erik Brynjolfsson. "Consumer Protection in an Online World: An Analysis of Occupational Licensing." American Economic Journal: Applied Economics 16, no. 3 (July, 2024): 549–579.
      • 2024
      • Working Paper

      How Inflation Expectations De-Anchor: The Role of Selective Memory Cues

      By: Nicola Gennaioli, Marta Leva, Raphael Schoenle and Andrei Shleifer
      In a model of memory and selective recall, household inflation expectations remain rigid when inflation is anchored but exhibit sharp instability during inflation surges, as similarity prompts retrieval of forgotten high-inflation experiences. Using data from the New... View Details
      Keywords: Cognition and Thinking; Inflation and Deflation; Personal Finance
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      Gennaioli, Nicola, Marta Leva, Raphael Schoenle, and Andrei Shleifer. "How Inflation Expectations De-Anchor: The Role of Selective Memory Cues." NBER Working Paper Series, No. 32633, June 2024.
      • July 2024
      • Article

      JUE Insight: Infrastructure and Finance: Evidence from India's GQ Highway Network

      By: Abhiman Das, Ejaz Ghani, Arti Grover, William Kerr and Ramana Nanda
      We use data from Reserve Bank of India to study the impact of India's Golden Quadrilateral (GQ) highway project on finance-dependent activity. Loan volumes increase by 20-30% in districts along GQ and are stronger in industries more dependent upon external finance.... View Details
      Keywords: Highways; Finance; Development; Infrastructure; Banks and Banking; Transportation Networks; Financing and Loans; Growth and Development; India
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      Das, Abhiman, Ejaz Ghani, Arti Grover, William Kerr, and Ramana Nanda. "JUE Insight: Infrastructure and Finance: Evidence from India's GQ Highway Network." Art. 103593. Journal of Urban Economics 142 (July 2024).
      • June 2024
      • Case

      Arete Research on Unity Software

      By: Joseph Pacelli and Tonia Labruyere
      Richard Kramer had founded Arete Research, an independent financial research provider, in 2000 after a successful career as a sell-side analyst at Goldman Sachs. He reflects on his team's coverage of Unity Software, a U.S.-based mobile games software company, that... View Details
      Keywords: Analysis; Initial Public Offering; Analytics and Data Science; Applications and Software; Mobile and Wireless Technology; Valuation; Value Creation; Mergers and Acquisitions; Business Model; Reports; Financial Services Industry; Video Game Industry; United Kingdom; United States
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      Pacelli, Joseph, and Tonia Labruyere. "Arete Research on Unity Software." Harvard Business School Case 124-086, June 2024.
      • June 2024 (Revised August 2024)
      • Case

      Revlon India's Turnaround: Navigating Online-Offline Decisions Using a Balanced Scorecard

      By: Tatiana Sandino and Samuel Grad
      Revlon India was founded as a joint venture in 1995, pairing the industrial conglomerate UMG with the global beauty brand Revlon, Inc. to bring international color cosmetics to India. After growing rapidly and pioneering the Beauty Advisor (BA) model in India, the... View Details
      Keywords: Balanced Scorecard; Restructuring; Training; Supply Chain Management; Distribution; E-commerce; Business Model; Business Plan; Decision Choices and Conditions; Marketing Strategy; Alignment; Brands and Branding; Negotiation; Joint Ventures; Strategic Planning; Salesforce Management; Competition; Retail Industry; Consumer Products Industry; Beauty and Cosmetics Industry; India
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      Sandino, Tatiana, and Samuel Grad. "Revlon India's Turnaround: Navigating Online-Offline Decisions Using a Balanced Scorecard." Harvard Business School Case 124-107, June 2024. (Revised August 2024.)
      • 2024
      • Working Paper

      Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

      By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
      This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
      Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
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      Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
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