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Publications

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      • Faculty Publications  (281)

      Prejudice and Bias Remove Prejudice and Bias →

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      • June 2022
      • Article

      Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation

      By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
      The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information...  View Details
      Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing
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      Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation." Management Science 68, no. 6 (June 2022): 4478–4495.
      • 2022
      • Working Paper

      Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge

      By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
      Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and...  View Details
      Keywords: Evaluations; Novelty; Feasibility; Field Experiment; Resource Allocation; Technological Innovation; Competitive Advantage; Decision Making
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      Lane, Jacqueline N., Zoe Szajnfarber, Jason Crusan, Michael Menietti, and Karim R. Lakhani. "Are Experts Blinded by Feasibility? Experimental Evidence from a NASA Robotics Challenge." Harvard Business School Working Paper, No. 22-071, May 2022.
      • May 2022
      • Case

      LOOP: Driving Change in Auto Insurance Pricing

      By: Elie Ofek and Alicia Dadlani
      John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing...  View Details
      Keywords: AI and Machine Learning; Technological Innovation; Equality and Inequality; Prejudice and Bias; Insurance Industry; Financial Services Industry
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      Ofek, Elie, and Alicia Dadlani. "LOOP: Driving Change in Auto Insurance Pricing." Harvard Business School Case 522-073, May 2022.
      • May 2022
      • Case

      Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

      By: Tsedal Neeley and Stefani Ruper
      Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart...  View Details
      Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation
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      Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
      • Article

      How Much Should We Trust Staggered Difference-In-Differences Estimates?

      By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
      Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the...  View Details
      Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
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      Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" Journal of Financial Economics 144, no. 2 (May 2022): 370–395. (Editor's Choice, May 2022.)
      • Article

      Present Bias Causes and Then Dissipates Auto-enrollment Savings Effects

      By: John Beshears, James J. Choi, David Laibson and Peter Maxted
      Present bias causes procrastination, which leads households to stick with auto-enrollment defaults. However, present bias also engenders overconsumption. Separation from each employer generates a rollover of 401(k) balances to an individual retirement account (IRA)...  View Details
      Keywords: Present Bias; Procrastination; Personal Finance; Decision Making; Social Psychology; Retirement
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      Beshears, John, James J. Choi, David Laibson, and Peter Maxted. "Present Bias Causes and Then Dissipates Auto-enrollment Savings Effects." AEA Papers and Proceedings 112 (May 2022): 136–141.
      • May 2022
      • Article

      When Harry Fired Sally: The Double Standard in Punishing Misconduct

      By: Mark Egan, Gregor Matvos and Amit Seru
      We examine gender differences in misconduct punishment in the financial advisory industry. We find evidence of a “gender punishment gap”: following an incident of misconduct, female advisers are 20% more likely to lose their jobs and 30% less likely to find new jobs...  View Details
      Keywords: Financial Advisers; Brokers; Gender Discrimination; Consumer Finance; Financial Misconduct And Fraud; FINRA; Financial Institutions; Employees; Crime and Corruption; Gender; Prejudice and Bias; Personal Finance; Financial Services Industry
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      Egan, Mark, Gregor Matvos, and Amit Seru. "When Harry Fired Sally: The Double Standard in Punishing Misconduct." Journal of Political Economy 130, no. 5 (May 2022): 1184–1248.
      • April 2022
      • Teaching Note

      Gender Equality in Business: 100 Years of Progress?

      By: Boris Groysberg and Colleen Ammerman
      Teaching Note for HBS Case No. 422-066, "Gender Equality in Business: 100 Years of Progress?" The case traces the history of women in management from the early 20th to early 21st century through analysis of Harvard Business Review's coverage of women and gender. The...  View Details
      Keywords: History; Business History; Gender; Management; Employees; Leadership; Organizational Change and Adaptation; Work-Life Balance; Prejudice and Bias; Social Issues; Diversity; Equity; United States
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      Groysberg, Boris, and Colleen Ammerman. "Gender Equality in Business: 100 Years of Progress?" Harvard Business School Teaching Note 422-088, April 2022.
      • April 2022
      • Case

      Gender Equality in Business: 100 Years of Progress?

      By: Boris Groysberg and Colleen Ammerman
      "Gender Equality in Business: 100 Years of Progress?" traces the history of women in management from the early 20th to early 21st century through analysis of Harvard Business Review's coverage of women and gender. The case identifies six distinct phases in the...  View Details
      Keywords: History; Business History; Gender; Management; Employees; Leadership; Organizational Change and Adaptation; Work-Life Balance; Prejudice and Bias; Social Issues; Diversity; Equity; United States
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      Groysberg, Boris, and Colleen Ammerman. "Gender Equality in Business: 100 Years of Progress?" Harvard Business School Case 422-066, April 2022.
      • Other Article

      Sustainable Strategies and Net-Zero Goals

      By: Mark L. Frigo, Robert S. Kaplan and Karthik Ramanna
      In a recent Harvard Business Review article, Kaplan and Ramanna describe a rigorous approach, the E-liability method, for companies’ ESG reporting, especially as it pertains to GHG emissions measurements. They argue that the current standards for measuring...  View Details
      Keywords: Measurement; Sustainability; Net-zero Emissions; Environmental Sustainability; Integrated Corporate Reporting; Measurement and Metrics; Strategy
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      Frigo, Mark L., Robert S. Kaplan, and Karthik Ramanna. "Sustainable Strategies and Net-Zero Goals." Special Issue on Sustainability. Strategic Finance 103, no. 10 (April 2022): 42–49.
      • 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).
      • 2022
      • Working Paper

      Fintech to the (Worker) Rescue: Earned Wage Access and Employee Retention

      By: Jose Murillo, Boris Vallee 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 Vallee, and Dolly Yu. "Fintech to the (Worker) Rescue: Earned Wage Access and Employee Retention." Working Paper, March 2022.
      • 2022
      • Working Paper

      Hate Crime Increases with Minoritized Group Rank

      By: Mina Cikara, Vasiliki Fouka and Marco Tabellini
      People are on the move in unprecedented numbers within and between countries. How does demographic change affect local intergroup dynamics? In complement to accounts that emphasize stereotypical features of groups as determinants of their treatment, we propose the...  View Details
      Keywords: Prejudice; Minority; Hate Crimes; Reference Dependence; Demographics; Rank and Position; Prejudice and Bias; Crime and Corruption
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      Cikara, Mina, Vasiliki Fouka, and Marco Tabellini. "Hate Crime Increases with Minoritized Group Rank." Working Paper, February 2022. (Permanent link here. Accepted at Nature Human Behaviour.)
      • 2022
      • Chapter

      Fiscal Development under Colonial and Sovereign Rule

      By: Ewout Frankema and Marlous van Waijenburg
      This chapter explores differences in the making of a ‘modern’ fiscal state under colonial and sovereign rule. Focusing on African and Asian colonies (1820–1970) and their respective European metropoles, it argues that while the introduction of ‘modern’...  View Details
      Keywords: Fiscal Modernization; Colonial Rule; Economic History; Sovereign Finance; History; Taxation; Africa; Asia
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      Frankema, Ewout, and Marlous van Waijenburg. "Fiscal Development under Colonial and Sovereign Rule." In Global Taxation: How Modern Taxes Conquered the World, edited by Philipp Genschel and Laura Seelkopf, 67–98. Oxford: Oxford University Press, 2022.
      • Article

      Fighting Bias on the Front Lines

      By: Alexandra C. Feldberg and Tami Kim
      Most companies aim for exceptional customer service, but too few are attentive to the subtle discrimination by frontline employees that can alienate customers, lead to lawsuits, or even cause lasting brand damage by going viral.
      This article presents research...  View Details
      Keywords: Customer Service; Customer Focus and Relationships; Service Delivery; Diversity; Prejudice and Bias; Organizational Change and Adaptation
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      Feldberg, Alexandra C., and Tami Kim. "Fighting Bias on the Front Lines." Harvard Business Review 99, no. 6 (November–December 2021): 90–98.
      • October 2021
      • Article

      Can Self-Regulation Save Digital Platforms?

      By: Michael A. Cusumano, Annabelle Gawer and David B. Yoffie
      This article explores some of the critical challenges facing self-regulation and the regulatory environment for digital platforms. We examine several historical examples of firms and industries that attempted self-regulation before the Internet. All dealt with similar...  View Details
      Keywords: Self-regulation; Government Regulation; Digital Platforms; Governing Rules, Regulations, and Reforms
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      Cusumano, Michael A., Annabelle Gawer, and David B. Yoffie. "Can Self-Regulation Save Digital Platforms?" Industrial and Corporate Change 30, no. 5 (October 2021): 1259–1285.
      • October 2021
      • Article

      Fintech Borrowers: Lax Screening or Cream-Skimming?

      By: Marco Di Maggio and Vincent Yao
      Personal credit is the fastest-growing segment of the consumer credit market, mainly driven by fintech lenders' staggering expansion. We study this market using a unique individual-level data, which covers most of the top fintech and traditional lenders, and provides...  View Details
      Keywords: Fintech; Lending; Consumer Finance; Credit History; Self-control; Present Bias; Financing and Loans; Personal Finance; Credit; Behavior
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      Di Maggio, Marco, and Vincent Yao. "Fintech Borrowers: Lax Screening or Cream-Skimming?" Review of Financial Studies 34, no. 10 (October 2021): 4565–4618. (LEAD ARTICLE and EDITOR'S CHOICE.)
      • September–October 2021
      • Article

      Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb

      By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
      We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among...  View Details
      Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry
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      Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no. 5 (September–October 2021): 813–820.
      • 2021
      • Working Paper

      Invisible Primes: Fintech Lending with Alternative Data

      By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
      We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to...  View Details
      Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit
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      Di Maggio, Marco, Dimuthu Ratnadiwakara, and Don Carmichael. "Invisible Primes: Fintech Lending with Alternative Data." Harvard Business School Working Paper, No. 22-024, October 2021.
      • September 17, 2021
      • Article

      AI Can Help Address Inequity—If Companies Earn Users' Trust

      By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
      While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a...  View Details
      Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning
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      Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
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