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      • September 2023
      • Article

      Measuring Time Use in Rural India: Design and Validation of a Low-Cost Survey Module

      By: Erica Field, Rohini Pande, Natalia Rigol, Simone Schaner, Elena Stacy and Charity Troyer Moore
      Time use data can help us understand individual labor supply choices, especially for women who often provide unpaid care and home production. Although enumerator-assisted diary-based time use data collection is suitable for low-literacy populations, it is costly and... View Details
      Keywords: Time Use; Measurement and Metrics; Gender; Labor
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      Field, Erica, Rohini Pande, Natalia Rigol, Simone Schaner, Elena Stacy, and Charity Troyer Moore. "Measuring Time Use in Rural India: Design and Validation of a Low-Cost Survey Module." Journal of Development Economics 164 (September 2023): 103105.
      • September 2023
      • Case

      The Meteoric Rise of Skims

      By: Ayelet Israeli, Jill Avery and Leonard A. Schlesinger
      Since its founding in 2019 by Kim Kardashian and Jens Grede, Skims, a solutions-oriented brand creating the next generation of underwear, loungewear, and shapewear with an eye toward body-type and skin-tone inclusivity, has experienced a meteoric rise. Kardashian, who... View Details
      Keywords: Brand; Branding; Direct-to-consumer; DTC; Influencers; Influencer Marketing; Fashion; Growth; Direct Marketing; Influence; Reputation; Social Inference; Consumer Goods; Consumer Products; Female Entrepreneur; Female Protagonist; Entrepreneurship And Strategy; Brand & Product Management; Competitive Advantage; Online Followers; Retail; Retail Formats; Retailing; Online Retail; Celebrities; Celebrity; Celebrity Endorsement; Go To Market Strategy; Apparel; Startup Marketing; Startups; Social Influencers; Brands and Branding; Growth and Development Strategy; Growth Management; Distribution Channels; Digital Marketing; Advertising; Power and Influence; Social Media; Fashion Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, Jill Avery, and Leonard A. Schlesinger. "The Meteoric Rise of Skims." Harvard Business School Case 524-023, September 2023.
      • September–October 2023
      • Article

      The New Era of Industrial Policy Is Here

      By: Willy C. Shih
      Governments around the world are increasingly intervening in the private sector through industrial policies designed to help domestic sectors reach goals that markets alone are unlikely to achieve. Companies in targeted sectors—such as automakers, energy companies, and... View Details
      Keywords: Policy; Government and Politics; Business and Government Relations; Research and Development; Economic Sectors
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      Shih, Willy C. "The New Era of Industrial Policy Is Here." Harvard Business Review 101, no. 5 (September–October 2023): 66–75.
      • August 2023
      • Case

      BYD, China, and Global Electric Vehicle Rivalry

      By: Cynthia A. Montgomery and Max Hancock
      In 2023, BYD, a Chinese electric vehicle (EV) maker, surpassed Tesla to become the world's best-selling EV brand. BYD began selling mobile phone batteries in 1995, acquired a license to sell vehicles in 2002, and spent two decades building its EV brand, growing its... View Details
      Keywords: Competition; Competitive Strategy; Expansion; Segmentation; Vertical Integration; Market Participation; Environmental Sustainability; Auto Industry; Electronics Industry; China; Europe; United States; Japan; South Korea
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      Montgomery, Cynthia A., and Max Hancock. "BYD, China, and Global Electric Vehicle Rivalry." Harvard Business School Case 724-358, August 2023.
      • August 2023
      • Case

      Beamery: Using Skills and AI to Modernize HR

      By: Boris Groysberg, Alexis Lefort, Susan Pinckney and Carolina Bartunek
      Unicorn human relationships startup Beamery evaluates it's growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management industry View Details
      Keywords: Acquisition; Business Growth and Maturation; Business Startups; Competency and Skills; Experience and Expertise; Talent and Talent Management; Customers; Nationality; Learning; Entrepreneurship; Employee Relationship Management; Recruitment; Retention; Selection and Staffing; Values and Beliefs; Cross-Cultural and Cross-Border Issues; Analytics and Data Science; Applications and Software; Disruptive Innovation; Technological Innovation; Job Offer; Job Search; Job Design and Levels; Employment; Human Capital; Europe; United Kingdom; United States
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      Groysberg, Boris, Alexis Lefort, Susan Pinckney, and Carolina Bartunek. "Beamery: Using Skills and AI to Modernize HR." Harvard Business School Case 424-004, August 2023.
      • July–August 2023
      • Article

      Demand Learning and Pricing for Varying Assortments

      By: Kris Ferreira and Emily Mower
      Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
      Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
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      Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
      • 2023
      • Working Paper

      Much Ado About Nothing? Overreaction to Random Regulatory Audits

      By: Samuel Antill and Joseph Kalmenovitz
      Regulators often audit firms to detect non-compliance. Exploiting a natural experiment in the lobbying industry, we show that firms overreact to audits and this response distorts prices and reduces welfare. Each year, federal regulators audit a random sample of... View Details
      Keywords: Governance Compliance; Governing Rules, Regulations, and Reforms; Price
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      Antill, Samuel, and Joseph Kalmenovitz. "Much Ado About Nothing? Overreaction to Random Regulatory Audits." Working Paper, August 2023.
      • August 2023
      • Case

      Reimagining Hindustan Unilever (A)

      By: Sunil Gupta and Rachna Tahilyani
      In the fall of 2019, the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, is wondering what to do about their experiments to digitize distribution. Despite three years of intense efforts, their apps to empower retailers... View Details
      Keywords: Experimentation; Digital Transformation; Digital Strategy; Leading Change; Distribution; Decisions; Organizational Change and Adaptation; Consumer Behavior; E-commerce; Competition; Performance; Business Strategy; Marketing; Transformation; Consumer Products Industry; Asia; India
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      Gupta, Sunil, and Rachna Tahilyani. "Reimagining Hindustan Unilever (A)." Harvard Business School Case 524-020, August 2023.
      • 2025
      • Working Paper

      Managing Remote Work Quality: Evidence from Auditing Management Systems Standards

      By: Ashley Palmarozzo, Michael W. Toffel and Melissa Ouellet
      Remote work has become more common, providing operational flexibility and productivity benefits, but questions remain about whether and how it affects work quality. We investigate the quality effects of remote work in a context in which remote work separates workers... View Details
      Keywords: Audit; Auditing; Remote Work; Compliance; Assessment; Environment; Management Systems; Quality Management; Quality Management System; Quality; Operations; Supply Chain Management; Environmental Management; Safety
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      Palmarozzo, Ashley, Michael W. Toffel, and Melissa Ouellet. "Managing Remote Work Quality: Evidence from Auditing Management Systems Standards." Harvard Business School Working Paper, No. 24-002, July 2023. (Revised February 2025.)
      • July 2023 (Revised July 2024)
      • Case

      Miracle Therapeutics: Negotiating an IP License (A)

      By: Satish Tadikonda, Michael Singer, William Marks and Wendi Yajnik
      (General Experience Case) Beth Sharp and Jennifer Brilliant founded Miracle Therapeutics based on intellectual property developed by Brilliant and her post-doctoral student, John Supreme, in Brilliant’s lab at Elite University (EU). Miracle will have to obtain a... View Details
      Keywords: Business Startups; Entrepreneurship; Patents; Negotiation Process
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      Tadikonda, Satish, Michael Singer, William Marks, and Wendi Yajnik. "Miracle Therapeutics: Negotiating an IP License (A)." Harvard Business School Case 824-020, July 2023. (Revised July 2024.)
      • July 2023
      • Article

      Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts

      By: Raghabendra P. KC, Vincent Mak and Elie Ofek
      We study how payment decision timing—before versus after product delivery—influences consumer payment under pay-what-you-want pricing. We focus on situations where there is minimal change in consumer uncertainty regarding the product before versus after receiving it.... View Details
      Keywords: Price; Behavior; Valuation; Philanthropy and Charitable Giving
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      KC, Raghabendra P., Vincent Mak, and Elie Ofek. "Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts." Journal of Marketing 87, no. 4 (July 2023): 618–635.
      • July 2023
      • Article

      Design and Analysis of Switchback Experiments

      By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
      In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
      Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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      Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
      • July 2023
      • Article

      So, Who Likes You? Evidence from a Randomized Field Experiment

      By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
      With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
      Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
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      Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
      • 2023
      • Working Paper

      The Complexity of Economic Decisions

      By: Xavier Gabaix and Thomas Graeber
      We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
      Keywords: Decisions; Complexity; Perception; Consumer Behavior; Production
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      Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
      • 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; Retail 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.
      • 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
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      Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
      • June 2023
      • Exercise

      Experimenting with Algorithm Resume Screening

      By: Michael Luca, Jesse M. Shapiro, Adrian Obleton, Evelyn Ramirez and Nathan Sun
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      Luca, Michael, Jesse M. Shapiro, Adrian Obleton, Evelyn Ramirez, and Nathan Sun. "Experimenting with Algorithm Resume Screening." Harvard Business School Exercise 923-050, June 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.
      • June 2023
      • Article

      Do Job Seekers Value Diversity Information? Evidence from a Field Experiment and Human Capital Disclosures

      By: Jung Ho Choi, Joseph Pacelli, Kristina M. Rennekamp and Sorabh Tomar
      We examine how information about the diversity of a potential employer's workforce affects individuals’ job-seeking behavior. We embed a field experiment in job recommendation emails from a leading career advice agency in the U.S. The experimental treatment involves... View Details
      Keywords: Diversity; Job Search; Employees; Corporate Disclosure
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      Choi, Jung Ho, Joseph Pacelli, Kristina M. Rennekamp, and Sorabh Tomar. "Do Job Seekers Value Diversity Information? Evidence from a Field Experiment and Human Capital Disclosures." Journal of Accounting Research 61, no. 3 (June 2023): 695–735.
      • 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.)
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