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      • 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
      Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
      • June 2023
      • Case

      Investing in the Climate Transition at Neuberger Berman

      By: George Serafeim and Benjamin Maletta
      By mid-2023, Neuberger Berman (NB), an active asset manager, had grown its assets under management to about half a trillion dollars and took pride in its client centricity and innovative spirit. Responding to client demand for investment products that integrated... View Details
      Keywords: Carbon Emissions; Sustainability; Decarbonization; Performance; Risk Assessment; Opportunities; Environmental Sustainability; Carbon Footprint; Business Analysis; Investing; Regulation; Asset Management; Investment Strategy; Climate Change; Transition; Analysis; Product Positioning; Strategy; Investment Portfolio; Financial Services Industry; Energy Industry
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      Serafeim, George, and Benjamin Maletta. "Investing in the Climate Transition at Neuberger Berman." Harvard Business School Case 123-092, June 2023.
      • 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
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      Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
      • 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
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      Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
      • May–June 2023
      • Article

      Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut

      By: Fabrizio Fantini and Das Narayandas
      Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are... View Details
      Keywords: Analytics and Data Science; Decision Making
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      Fantini, Fabrizio, and Das Narayandas. "Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut." Harvard Business Review 101, no. 3 (May–June 2023): 82–91.
      • June 2023
      • Article

      National Customer Orientation: An Empirical Test across 112 Countries

      By: Ofer Mintz, Imran S. Currim and Rohit Deshpandé
      Customer orientation is a central tenet of marketing. However, less is known about how customer orientation varies across countries and time. Mintz, Currim, and Deshpandé (Eur. J. Mark., 56: 1014–1041, 2022) propose a country-level construct, national customer... View Details
      Keywords: Global Range; Customer Focus and Relationships
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      Mintz, Ofer, Imran S. Currim, and Rohit Deshpandé. "National Customer Orientation: An Empirical Test across 112 Countries." Marketing Letters 34, no. 2 (June 2023): 189–204.
      • 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
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      Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
      • June 2023
      • Article

      Why Is Dollar Debt Cheaper? Evidence from Peru

      By: Bryan Gutiérrez, Victoria Ivashina and Juliana Salomao
      In emerging markets, a significant share of corporate loans are denominated in dollars. Using novel data that enables us to see currency and the cost of credit, in addition to several other transaction-level characteristics, we re-examine the reasons behind dollar... View Details
      Keywords: Emerging Market Corporate Debt; Currency Mismatch; Liability Dollarization; Carry Trade; Currency; Emerging Markets; Borrowing and Debt; Interest Rates; Peru
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      Gutiérrez, Bryan, Victoria Ivashina, and Juliana Salomao. "Why Is Dollar Debt Cheaper? Evidence from Peru." Journal of Financial Economics 148, no. 3 (June 2023): 245–272.
      • 2023
      • Article

      Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

      By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
      Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
      Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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      Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
      • May 2023
      • Teaching Note

      TikTok and National Security: Investment in an Age of Data Sovereignty?

      By: Jeremy Friedman
      Teaching Note for HBS Case No. 722-020. View Details
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      Friedman, Jeremy. "TikTok and National Security: Investment in an Age of Data Sovereignty?" Harvard Business School Teaching Note 723-064, May 2023.
      • 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
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      Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
      • 2023
      • Working Paper

      Causes and Consequences of State Violence against Civilians: The Rohingya of Myanmar

      By: C. Austin Davis, Paula Lopez-Pena, A. Mushfiq Mobarak and Jaya Wen
      The Rohingya crisis is a severe, ongoing conflict involving large-scale violence and forced displacement, yet its causes are contested and its consequences lack systematic documentation. We marshal a variety of existing and original data to shed light on its drivers,... View Details
      Keywords: War; Conflict and Resolution; Motivation and Incentives; Developing Countries and Economies; Myanmar
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      Davis, C. Austin, Paula Lopez-Pena, A. Mushfiq Mobarak, and Jaya Wen. "Causes and Consequences of State Violence against Civilians: The Rohingya of Myanmar." Working Paper, August 2023.
      • 2023
      • Working Paper

      Culture as a Signal: Evidence from a Natural Field Experiment

      By: Wei Cai, Dennis Campbell and Jiehang Yu
      The importance of culture as an informal management control system is increasingly acknowledged in academia. While prior research mainly focuses on the value of culture on internal stakeholders (e.g., employees), we examine whether culture serves as a credible signal... View Details
      Keywords: Organizational Culture; Groups and Teams; Customer Focus and Relationships
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      Cai, Wei, Dennis Campbell, and Jiehang Yu. "Culture as a Signal: Evidence from a Natural Field Experiment." SSRN Working Paper Series, No. 4447603, May 2023.
      • May 2023
      • Article

      Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings

      By: Janet Gao, Kenneth J. Merkley, Joseph Pacelli and Joseph H. Schroeder
      Ineffective internal controls over financial reporting often relates to a lack of qualified personnel with sufficient accounting and technical expertise. In this study, we examine whether firms respond to internal control failures by increasing their demand for... View Details
      Keywords: Internal Controls; Labor Demand; Accounting; Financial Reporting; Experience and Expertise; Recruitment; Competency and Skills; Corporate Finance
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      Gao, Janet, Kenneth J. Merkley, Joseph Pacelli, and Joseph H. Schroeder. "Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings." Accounting Review 98, no. 3 (May 2023): 203–228.
      • May 2023
      • Article

      How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates

      By: Caroline Le Pennec and Vincent Pons
      We use two-round survey data from 62 elections in 10 countries since 1952 to study the formation of vote choice, beliefs, and policy preferences and assess how televised debates contribute to this process. Our data include 253,000 observations. We compare the... View Details
      Keywords: Political Debates; TV Debates; Voting; Political Elections; Decision Choices and Conditions
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      Le Pennec, Caroline, and Vincent Pons. "How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates." Quarterly Journal of Economics 138 (May 2023): 703–767.
      • 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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      Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Effects of Subjective Allocations of Rewards and Penalties." Management Science 69, no. 5 (May 2023): 3121–3139.
      • May–June 2023
      • Article

      Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail

      By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
      The impact of delays has been widely studied in various offline services. The focus of this study is online services, and we explore the impact of in-process delays—measured by website speed—on customer behavior. We leverage novel retail and website speed data to... View Details
      Keywords: Online Retail; Quasi-experiments; Abandonment; Synthetic Control; E-commerce; Internet and the Web; Consumer Behavior; Policy; Retail Industry
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      Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail." Operations Research 71, no. 3 (May–June 2023): 876–894.
      • May 2023
      • Article

      Self-Preferencing at Amazon: Evidence from Search Rankings

      By: Chiara Farronato, Andrey Fradkin and Alexander MacKay
      We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study... View Details
      Keywords: Consumer Behavior; E-commerce; Product Positioning; Brands and Branding
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      Farronato, Chiara, Andrey Fradkin, and Alexander MacKay. "Self-Preferencing at Amazon: Evidence from Search Rankings." AEA Papers and Proceedings 113 (May 2023): 239–243.
      • 2025
      • Working Paper

      Turning Points in Inflation: A Structural Breaks Approach with Micro Data

      By: Alberto Cavallo and Gastón García Zavaleta
      We introduce a novel methodology for detecting inflation turning points that combines high-frequency, disaggregated price data with standard structural break techniques to provide policymakers with more precise and timely signals of inflation dynamics. The methodology... View Details
      Keywords: Inflation and Deflation; Global Range; Economic Slowdown and Stagnation; Analysis; Price
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      Cavallo, Alberto, and Gastón García Zavaleta. "Turning Points in Inflation: A Structural Breaks Approach with Micro Data." Working Paper, May 2025. (Preliminary draft.)
      • April 12, 2023
      • Article

      Using AI to Adjust Your Marketing and Sales in a Volatile World

      By: Das Narayandas and Arijit Sengupta
      Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
      Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
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      Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
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