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2024
Working Paper

Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov

Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details

Keywords: Mathematical Methods; Analytics and Data Science

2024
Working Paper

Design of Panel Experiments with Spatial and Temporal Interference

By: Tu Ni, Iavor Bojinov and Jinglong Zhao

One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details

Keywords: Research

March 2024
Module Note

Module Note on the Structuring of Collaborative Work

By: Ethan Bernstein

This module note for instructors describes the organizational structure module of the Managing Human Capital course that integrates insights from research on workplace connectivity (who gets to communicate with whom) and workplace transparency (who gets to observe... View Details

Keywords: Human Resources; Management; Organizational Design; Organizational Structure; Human Capital

March 2024
Case

Unintended Consequences of Algorithmic Personalization

By: Eva Ascarza and Ayelet Israeli

“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details

Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States

2024
Book

Deals: The Economic Structure of Business Transactions

By: Guhan Subramanian and Michael Klausner

Drawing on real-life cases from a wide range of industries, two acclaimed experts offer a sophisticated but accessible guide to business deals, designed to maximize value for your side.

Business transactions take widely varying forms—from multibillion-dollar... View Details

Keywords: Negotiation; Contracts

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February 2024
Teaching Note

AB InBev: Brewing Up Forecasts during COVID-19

By: Mark Egan and C. Fritz Foley

Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a... View Details

Keywords: Forecasting; Investor Relations; Beverage Industry; Corporate Finance; Decisions; Forecasting and Prediction; Health Pandemics; Analytics and Data Science; Digital Transformation; Crisis Management; Business Model; Food and Beverage Industry; United States; Europe

February 2024
Background Note

Frederick Herzberg on Motivating Employees

By: Willy C. Shih

This background note summarizes Frederick Herzberg's development of his motivation-hygiene theory, his theory regarding job enrichment, and how the theory has evolved. This is at the core of extrinsic versus intrinsic motivation. View Details

Keywords: Motivation and Incentives; Theory; Service Industry; Manufacturing Industry; United States

February 21, 2024
Article

The NFT Staircase: How Digital Ownership Benefits Brands and Consumers

By: Scott Duke Kominers and Steve Kaczynski

One of our goals with our new book, The Everything Token: How NFTs and Web3 Will Transform the Way We Buy, Sell, and Create, is to unlock the power of nonfungible tokens, or NFTs, for business. National and international brands are already using NFTs in some of... View Details

Keywords: Non-fungible Tokens; NFTs; Brand; Brand Building; Digitization; Metaverse; Tokenization; Crypto Economy; Blockchain; Market Design; Brands and Branding; Value Creation

February 2024
Case

Innovation Strategy at Stanley Black & Decker: Setting the Direction for Growth

By: David L. Ager and Antonio Manuel Oftelie

On July 1, 2022, Don Allan was appointed Chief Executive Officer of Stanley Black & Decker (SBD). Although Allan had been with the firm for 23 years, most recently serving as President and Chief Financial Officer, he recognized that he was stepping into his new role as... View Details

Keywords: Health Pandemics; Collaborative Innovation and Invention; Innovation Leadership; Growth Management; Business and Stakeholder Relations

February 2024
Case

Can Cities Beat the Heat? (A): A Comparative Analysis of Climate Actions and Change Enablers in 14 U.S. Cities

By: Rosabeth Moss Kanter and Jacob A. Small

Throughout the early 2000's, emphasis was placed on initiatives to adapt to and mitigate climate action in cities. This series presents overviews (snapshots) of 14 U.S. metropolitan regions to help identify similarities, differences, and opportunities for developing... View Details

2024
Working Paper

Principles and Content for Downstream Emissions Disclosures

By: Robert S. Kaplan and Karthik Ramanna

In a previous paper, we proposed the E-liability carbon accounting algorithm for companies to measure and subsequently reduce their own and their suppliers’ emissions. Some investors and stakeholders, however, want companies to also be accountable for downstream... View Details

Keywords: Carbon Emissions; Disclosure; Carbon Footprint; Climate Change; Measurement and Metrics; Corporate Disclosure; Environmental Sustainability; Corporate Social Responsibility and Impact

February 2024
Case

Tabby: Winning Consumers' Digital Wallets

By: Eva Ascarza and Fares Khrais

Hosam Arab (MBA 2009), cofounder and CEO of Tabby, a Saudi-based fintech startup, raised its Series D funding round in October 2023, four years after its inception, valuing it as a regional unicorn. Tabby's core product, a buy-now-pay-later (BNPL) service, allowed... View Details

Keywords: Business Model; Business Startups; Risk Management; Competitive Strategy; Expansion; Financial Services Industry; Technology Industry; Saudi Arabia

February 9, 2024
Article

The Rise of Consumer Crypto

By: Steve Kaczynski and Scott Duke Kominers

Although non-fungible tokens are often misunderstood and even derided, they remain a general and flexible solution for establishing and tracking ownership in the digital domain. As a superior solution to existing technology in many areas of the consumer economy, their... View Details

Keywords: Cryptocurrency; Crypto Economy; NFTs; Non-fungible Tokens; Internet Of Everything; Market Design; Technological Innovation; Demand and Consumers; Web Services Industry

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February 2024
Module Note

Data-Driven Marketing in Retail Markets

By: Ayelet Israeli

This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details

February 2024
Article

An Economic Framework for Vaccine Prioritization

By: Mohammad Akbarpour, Eric Budish, Piotr Dworczak and Scott Duke Kominers

We propose an economic framework for determining the optimal allocation of a scarce supply of vaccines that become gradually available during a public health crisis, such as the Covid-19 pandemic. Agents differ in observable and unobservable characteristics, and the... View Details

Keywords: Vaccine; Fairness; Public Finance; Public Goods; Allocation Problems; Allocative Efficiency; Allocation Rules; Social Welfare; Pandemics; Inequality; COVID-19; COVID-19 Pandemic; Public Sector; Resource Allocation; Market Design; Marketplace Matching; Public Administration Industry

2024
Working Paper

Content Moderation with Opaque Policies

By: Scott Duke Kominers and Jesse M. Shapiro

A sender sends a signal about a state to a receiver who takes an action that determines a payoff. A moderator can block some or all of the sender's signal before it reaches the receiver. When the moderator's policy is transparent to the receiver, the moderator can... View Details

Keywords: Market Design; Communication; Knowledge Sharing; Information Infrastructure; Media

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2024
Working Paper

Corporate Culture Homogeneity and Top Executive Incentive Design: Evidence from CEO Compensation Contracts

By: Dennis Campbell, Ruidi Shang and Zhifang Zhang

We examine how corporate cultures characterized by high degrees of homogeneity in the underlying values and beliefs of organizational members are related to the design of CEO incentive compensation contracts. We argue that culture homogeneity within firms lowers... View Details

Keywords: Corporate Culture; Compensation Design; Accounting; Management Control; Incentive Systems; Organizational Culture; Job Design and Levels; Governance; Executive Compensation; Motivation and Incentives

Winter 2024
Article

Is Pay Transparency Good?

By: Zoë B. Cullen

Countries around the world are enacting pay transparency policies to combat pay discrimination. Since 2000, 71 percent of OECD countries have done so. Most are enacting transparency horizontally, revealing pay between coworkers doing similar work within a firm. While... View Details

Keywords: Policy; Wages; Knowledge Sharing; Job Design and Levels; Negotiation; Performance Productivity; Compensation and Benefits; Motivation and Incentives

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2024
Chapter

Managing for Organisational Integrity: My Take After Three Decades

By: Lynn S. Paine

This chapter revisits core ideas from my 1994 article “Managing for Organizational Integrity” and explores a critical issue not discussed in the article: the role of corporate boards. In the chapter, I first re-examine the article’s ideas about the origins of... View Details

Keywords: Governing and Advisory Boards; Ethics; Corporate Governance

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

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