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June 2023 (Revised June 2023)
Supplement

Roche: Innovation and Access to Healthcare

By: George Serafeim

In May 2022, Roche Group, one of the largest healthcare companies in the world, hosted its first investor event focused exclusively on its efforts to impact access to healthcare. While Roche had recently set an ambitious goal to double the number of patients that had... View Details

June 2023
Simulation

Artea Dashboard and Targeting Policy Evaluation

By: Ayelet Israeli and Eva Ascarza

Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details

2023
Working Paper

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

By: Neil Menghani, Edward McFowland III and Daniel B. Neill

In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details

Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias

2023
Working Paper

Evaluation and Learning in R&D Investment

By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou

We examine the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from drug development, we show that novel drug candidates generate more knowledge spillovers than incremental ones. Despite being less likely to reach... View Details

Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry

2023
Working Paper

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

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

Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details

Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior

2023
Article

Provable Detection of Propagating Sampling Bias in Prediction Models

By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill

With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details

2023
Working Paper

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez

Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details

Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills

May 2023
Article

Equilibrium Effects of Pay Transparency

By: Zoë B. Cullen and Bobak Pakzad-Hurson

The public discourse around pay transparency has focused on the direct effect: how workers seek to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting and hiring practices of the firm respond in equilibrium has received... View Details

Keywords: Pay Transparency; Online Labor Market; Privacy; Wage Gap; Corporate Disclosure; Wages; Negotiation

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May 2023
Article

Incentive Effects of Subjective Allocations of Rewards and Penalties

By: Wei Cai, Susanna Gallani and Jee-Eun Shin

We examine the incentive effects of subjectivity in allocating tournament-based rewards and punishments. We use data from a company where reward and punishment decisions are based on a combination of objective metrics and subjective performance assessments. Rankings... View Details

Keywords: Subjectivity; Tournament-based Incentives; Rewards; Penalties; Expectancy Theory; Employees; Compensation and Benefits; Management; Decisions; Performance; Measurement and Metrics

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2023
Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju

As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods

April 2023
Supplement

Fresh Food Generation

By: Brian Trelstad

Instructors should consider the timing of making videos available to students, as they may reveal key case details.

This case highlights one of five BIPOC entrepreneuers in the Boston area as part of the HBS Impact Investment Fund. In fall 2021, a team of... View Details

Keywords: Growth and Development Strategy; Entrepreneurship; Race; Food and Beverage Industry

April 2023 (Revised September 2023)
Case

Levels: The Remote, Asynchronous, Deep Work Management System

By: Joseph B. Fuller and George Gonzalez

Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details

Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States

April 2023
Article

The Real Exchange Rate, Innovation and Productivity

By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu

We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'... View Details

Keywords: Real Exchange Rate; Firm Level Data; Innovation; Productivity; Exporting; Importing; Credit Constraints; Currency Exchange Rate; Innovation and Invention; Performance Productivity

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April 2023
Article

The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’

By: Jacqueline N. Lane

In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details

Keywords: Risk and Uncertainty; Research; Resource Allocation; Perception

March 2023
Background Note

A Primer on OKRs

By: Suraj Srinivasan and Li-Kuan (Jason) Ni

The OKR framework is a popular goal-setting and strategy execution tool that uses goal setting through “Objectives” and measuring performance using “Key Results” on a periodic basis to measure and drive performance. The OKR framework has been adopted and practiced at... View Details

Keywords: Business Organization; Talent and Talent Management; Framework; Corporate Governance; Goals and Objectives; Growth and Development; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Management Skills; Management Systems; Measurement and Metrics; Outcome or Result; Performance Effectiveness; Performance Evaluation; Performance Expectations; Performance Productivity; Performance Efficiency

March 2023 (Revised March 2023)
Case

Roche: Innovation and Access to Healthcare

By: George Serafeim, Susanna Gallani and Benjamin Maletta

In May 2022, Roche Group, one of the largest healthcare companies in the world, hosted its first investor event focused exclusively on its efforts to impact access to healthcare. While Roche had recently set an ambitious goal to double the number of patients that had... View Details

March 13, 2023
Article

Sales Teams Need to Stop Focusing on the Customer Funnel

By: Frank V. Cespedes

Understanding where customers are, how they navigate streams in your market, and how to interact with them in a given stream is now central to crafting a good customer experience, and that has implications. Among other things, companies need to shift from thinking... View Details

Keywords: Customer Experience; Customer Value and Value Chain; Customer Relationship Management; Consumer Behavior

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2023
Working Paper

Senior Team Emotional Dynamics and Strategic Decision Making at a Platform Transition

By: Timo O. Vuori and Michael L. Tushman

Based on an inductive case study, we develop an emotional-temporal process model of an incumbent’s strategic decision making at a platform transition. We describe the senior team’s emotional response to this transition and the impact of these emotions on their... View Details

Keywords: Emotions; Decision Choices and Conditions; Transition; Digital Platforms

2023
Working Paper

Sending Signals: Strategic Displays of Warmth and Competence

By: Bushra S. Guenoun and Julian J. Zlatev

Using a combination of exploratory and confirmatory approaches, this research examines how people signal important information about themselves to others. We first train machine learning models to assess the use of warmth and competence impression management... View Details

Keywords: AI and Machine Learning; Personal Characteristics; Perception; Interpersonal Communication

2023
Working Paper

Change We Can’t Believe In: Distrust of Political Converts

By: Julian J. Zlatev, Amos Schurr and Nir Halevy

We propose and test three hypotheses regarding how people respond to political converts— individuals who switch their voting from one political party to another. Across two experiments, using behavioral and attitudinal measures of trust in two different countries, we... View Details

Keywords: Political Elections; Behavior; Attitudes; Trust

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