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      • 2022
      • Working Paper

      Transferable Skills? Founders as Venture Capitalists

      By: Paul A. Gompers and Vladimir Mukharlyamov
      In this paper we explore whether or not the experience as a founder of a venture capital-backed startup influences the performance of founders who become venture capitalists (VCs). We find that nearly 7% of VCs were previously founders of a venture-backed startup.... View Details
      Keywords: Founders; Venture Capital; Entrepreneurship; Performance; Personal Development and Career; Success
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      Gompers, Paul A., and Vladimir Mukharlyamov. "Transferable Skills? Founders as Venture Capitalists." NBER Working Paper Series, No. 29907, April 2022.
      • March–April 2022
      • Article

      Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize

      By: Shefali V. Patil and Ethan Bernstein
      Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from... View Details
      Keywords: Monitoring; Transparency; Polarization; Body Worn Cameras; Quasi Field Experiment; Analytics and Data Science; Employees; Perception; Law Enforcement
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      Patil, Shefali V., and Ethan Bernstein. "Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize." Organization Science 33, no. 2 (March–April 2022): 541–570. (*The authors contributed equally to this manuscript.)
      • March 2022 (Revised January 2025)
      • Technical Note

      Exploratory Data Analysis

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details
      Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Exploratory Data Analysis." Harvard Business School Technical Note 622-098, March 2022. (Revised January 2025.)
      • March 2022 (Revised January 2025)
      • Technical Note

      Linear Regression

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details
      Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Technical Note 622-100, March 2022. (Revised January 2025.)
      • March 2022 (Revised January 2025)
      • Technical Note

      Prediction & Machine Learning

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
      Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
      • March 2022 (Revised January 2025)
      • Technical Note

      Statistical Inference

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic... View Details
      Keywords: Data Science; Statistics; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Statistical Inference." Harvard Business School Technical Note 622-099, March 2022. (Revised January 2025.)
      • March 2022
      • Case

      GrowSari (A): Design for the Last Mile Customer

      By: Brian Trelstad, Cam Carag and Michi Ferreol
      Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed to decide how to proceed. The pair,... View Details
      Keywords: Fast Moving Consumer Goods; Product Launch; Information Technology; Analytics and Data Science; Digital Platforms; Retail Industry; Consumer Products Industry; Technology Industry; Philippines
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      Trelstad, Brian, Cam Carag, and Michi Ferreol. "GrowSari (A): Design for the Last Mile Customer." Harvard Business School Case 322-036, March 2022.
      • March 2022
      • Supplement

      GrowSari (B)

      By: Brian Trelstad, Cam Carag and Michi Ferreol
      Case supplement for HBS Case No. 322-036. Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed... View Details
      Keywords: Fast Moving Consumer Goods; Product Launch; Information Technology; Analytics and Data Science; Digital Platforms; Retail Industry; Consumer Products Industry; Technology Industry; Philippines
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      Trelstad, Brian, Cam Carag, and Michi Ferreol. "GrowSari (B)." Harvard Business School Supplement 322-037, March 2022.
      • Article

      Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

      By: Eva Ascarza and Ayelet Israeli

      An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

      Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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      Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
      • March 8, 2022
      • Article

      Women Can’t Go Back to the Pre-Pandemic Status Quo

      By: Colleen Ammerman and Boris Groysberg
      Survey data collected in 2018 and 2019 from Harvard Business School graduates revealed that for women—and especially women of color—well-being at work was suffering long before the pandemic. While 17% of all respondents said that they often or very often experienced... View Details
      Keywords: Women; Burnout; Gender; Race; Resignation and Termination; Well-being; Employees
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      Ammerman, Colleen, and Boris Groysberg. "Women Can’t Go Back to the Pre-Pandemic Status Quo." Harvard Business Review (website) (March 8, 2022).
      • March 2022
      • Case

      In Data We Trust: Be Mobile Africa and Furthering Financial Inclusion Across the African Continent

      By: Lauren Cohen, Grace Headinger and Pierre Marchesseault
      To Cédric Jeannot, leveraging technology to promote financial inclusion was personal. After no established financial institution would accept his technology platform to lower transaction costs for free, Jeannot launched FinTech company Be Mobile Africa in May 2020.... View Details
      Keywords: Finance; Fintech; Emerging Market; Fundraising; Financial Inclusion; Strategy; Expansion; Management; Entrepreneurship; Personal Finance; Corporate Social Responsibility and Impact; Growth and Development Strategy; Financial Services Industry; Banking Industry; Africa; Togo; Nigeria; Ghana
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      Cohen, Lauren, Grace Headinger, and Pierre Marchesseault. "In Data We Trust: Be Mobile Africa and Furthering Financial Inclusion Across the African Continent." Harvard Business School Case 222-073, March 2022.
      • March 2022 (Revised May 2022)
      • Case

      Winning Business at Russell Reynolds (A)

      By: Ethan Bernstein and Cara Mazzucco
      In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details
      Keywords: Compensation; Collaboration; Executive Search Firms; Consulting Firms; Compensation and Benefits; Restructuring; Human Resources; Human Capital; Management Practices and Processes; Organizational Culture; Organizational Change and Adaptation; Social and Collaborative Networks; Recruitment; Selection and Staffing; Talent and Talent Management; Consulting Industry; Employment Industry; Asia; Europe; Latin America; Middle East; North and Central America; South America; Oceania
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      Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (A)." Harvard Business School Case 422-045, March 2022. (Revised May 2022.)
      • March 2022
      • Supplement

      Winning Business at Russell Reynolds (B)

      By: Ethan Bernstein and Cara Mazzucco
      In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details
      Keywords: Compensation; Collaboration; Executive Search Firms; Consulting Firms; Compensation and Benefits; Restructuring; Human Resources; Human Capital; Management Practices and Processes; Organizational Culture; Organizational Change and Adaptation; Social and Collaborative Networks; Recruitment; Selection and Staffing; Talent and Talent Management; Consulting Industry; Employment Industry; Asia; Europe; Latin America; Middle East; North and Central America; South America; Oceania
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      Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (B)." Harvard Business School Supplement 422-046, March 2022.
      • March 2022 (Revised January 2024)
      • Case

      Moksha Data: Delivering Insights for Public Service

      By: Ashish Nanda and Zack Kurtovich
      Moksha Data, a boutique consulting firm specializing in public sector work, started in January 2017 with a handshake between friends and a shared commitment to the principles of egalitarianism, ownership, and collaboration. The Houston-based firm had built momentum... View Details
      Keywords: Professional Service Firms; Professional Service Firm; Strategy Formulation; Data; Data As A Service; Government Contracting; Consulting; Consulting Firms; Consulting Services; Entrepreneurship; Public Sector; Analytics and Data Science; Growth and Development; Strategy; Consulting Industry; Texas
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      Nanda, Ashish, and Zack Kurtovich. "Moksha Data: Delivering Insights for Public Service." Harvard Business School Case 722-397, March 2022. (Revised January 2024.)
      • 2022
      • Working Paper

      Can a Website Bring Unemployment Down? Experimental Evidence from France

      By: Aïcha Ben Dhia, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard and Vincent Pons
      We evaluate the impact of an online platform giving job seekers tips to improve their search and recommendations of new occupations and locations to target, based on their personal data and labor market data. Our experiment used an encouragement design and was... View Details
      Keywords: Online Platform; Digital Platform; Unemployment; Encouragement Design; Job Search; Jobs and Positions; Internet and the Web; Well-being; Outcome or Result; Digital Platforms; France
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      Ben Dhia, Aïcha, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard, and Vincent Pons. "Can a Website Bring Unemployment Down? Experimental Evidence from France." NBER Working Paper Series, No. 29914, April 2022.
      • 2023
      • Working Paper

      Fintech to the (Worker) Rescue: Access to Earned Wages, Financial Health and Employee Turnover

      By: Jose Murillo, Boris Vallée and Dolly Yu
      Using novel data from a Mexican FinTech firm, we study the usage by workers of earned wages access, an innovative financial service offered by firms to their employees as a benefit. We find usage to be significant and concentrated towards the end of the pay cycle. We... View Details
      Keywords: Fintech; Present Bias; Earned Wage Access; Wages; Employees; Retention; Well-being; Mexico
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      Murillo, Jose, Boris Vallée, and Dolly Yu. "Fintech to the (Worker) Rescue: Access to Earned Wages, Financial Health and Employee Turnover." Working Paper, 2023.
      • March 2022
      • Article

      How Much Does Your Boss Make? The Effects of Salary Comparisons

      By: Zoë B. Cullen and Ricardo Perez-Truglia
      The vast majority of the pay inequality in an organization comes from differences in pay between employees and their bosses. But are employees aware of these pay disparities? Are employees demotivated by this inequality? To address these questions, we conducted a... View Details
      Keywords: Salary; Inequality; Managers; Career Concerns; Pay Transparency; Wages; Equality and Inequality; Perception; Behavior
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      Cullen, Zoë B., and Ricardo Perez-Truglia. "How Much Does Your Boss Make? The Effects of Salary Comparisons." Journal of Political Economy 130, no. 3 (March 2022): 766–822.
      • March 2022
      • Article

      Learning to Rank an Assortment of Products

      By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
      We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue... View Details
      Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce
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      Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
      • March 2022
      • Article

      Loan Types and the Bank Lending Channel

      By: Victoria Ivashina, Luc Laeven and Enrique Moral-Benito
      Using credit-registry data for Spain and Peru, we document that four main types of commercial credit—asset-based loans, cash flow loans, trade finance and leasing—are easily identifiable and represent the bulk of corporate credit. We show that credit growth dynamics... View Details
      Keywords: Bank Credit; Loan Types; Bank Lending Channel; Credit Registry; Banks and Banking; Credit; Financing and Loans
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      Ivashina, Victoria, Luc Laeven, and Enrique Moral-Benito. "Loan Types and the Bank Lending Channel." Journal of Monetary Economics 126 (March 2022): 171–187.
      • March 2022
      • Article

      Where to Locate COVID-19 Mass Vaccination Facilities?

      By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
      The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
      Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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      Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
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