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      • May–June 2024
      • Article

      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: Prejudice and Bias; Gender; Training; Recruitment; Personal Development and Career
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      Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Organization Science 35, no. 3 (May–June 2024): 911–927.
      • March 2024
      • Case

      Unintended Consequences of Algorithmic Personalization

      By: Eva Ascarza and Ayelet Israeli
      “Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details
      Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Unintended Consequences of Algorithmic Personalization." Harvard Business School Case 524-052, March 2024.
      • 2023
      • Working Paper

      New Facts and Data about Professors and Their Research

      By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu
      We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details
      Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity
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      Myers, Kyle, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural, and Yilun Xu. "New Facts and Data about Professors and Their Research." Harvard Business School Working Paper, No. 24-036, December 2023.
      • 2025
      • Working Paper

      Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

      By: Ta-Wei Huang and Eva Ascarza
      As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
      Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
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      Huang, Ta-Wei, and Eva Ascarza. "Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach." Harvard Business School Working Paper, No. 24-034, December 2023. (Revised March 2025.)
      • December 8, 2023
      • Article

      What Makes a Company Great at Producing Leaders?

      By: Sarah Abbott, Robin Abrahams and Boris Groysberg
      GE is well known as an “academy company”—a talent incubator that exports effective leaders to other organizations and even industries. To better understand which companies are top talent incubators today, the authors worked with the Official Board, a firm that provides... View Details
      Keywords: Personal Development and Career; Talent and Talent Management; Training; Organizational Culture
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      Abbott, Sarah, Robin Abrahams, and Boris Groysberg. "What Makes a Company Great at Producing Leaders?" Harvard Business Review (website) (December 8, 2023).
      • 2023
      • Working Paper

      No Revenge for Nerds? Evaluating the Careers of Ivy League Athletes

      By: Natee Amornsiripanitch, Paul A. Gompers, George Hu, Will Levinson and Vladimir Mukharlyamov
      This paper compares the careers of Ivy League athletes to those of their non-athlete classmates. Combining team-level information on all Ivy League athletes from 1970 to 2021 with resume data for all Ivy League graduates, we examine both post-graduate education and... View Details
      Keywords: Outcome or Result; Higher Education; Personal Development and Career; Human Capital
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      Amornsiripanitch, Natee, Paul A. Gompers, George Hu, Will Levinson, and Vladimir Mukharlyamov. "No Revenge for Nerds? Evaluating the Careers of Ivy League Athletes." NBER Working Paper Series, No. 31753, October 2023.
      • 2023
      • Working Paper

      Words Can Hurt: How Political Communication Can Change the Pace of an Epidemic

      By: Jessica Gagete-Miranda, Lucas Argentieri Mariani and Paula Rettl
      While elite-cue effects on public opinion are well-documented, questions remain as to when and why voters use elite cues to inform their opinions and behaviors. Using experimental and observational data from Brazil during the COVID-19 pandemic, we study how leader... View Details
      Keywords: Elites; Public Engagement; Politics; Political Affiliation; Political Campaigns; Political Influence; Political Leadership; Political Economy; Survey Research; COVID-19; COVID-19 Pandemic; COVID; Cognitive Psychology; Cognitive Biases; Political Elections; Voting; Power and Influence; Identity; Behavior; Latin America; Brazil
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      Gagete-Miranda, Jessica, Lucas Argentieri Mariani, and Paula Rettl. "Words Can Hurt: How Political Communication Can Change the Pace of an Epidemic." Harvard Business School Working Paper, No. 24-022, October 2023.
      • April 2023
      • Article

      Racial Inequality in Work Environments

      By: Letian Zhang
      This article explores racial stratification in work environments. Inequality scholars have long identified racial disparities in wage and occupational attainment, but workers’ careers and well-being are also shaped by elements of their work environment, including firm... View Details
      Keywords: Discrimination; Race; Equality and Inequality; Working Conditions; Personal Development and Career; Organizational Culture
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      Zhang, Letian. "Racial Inequality in Work Environments." American Sociological Review 88, no. 2 (April 2023): 252–283.
      • March 2023 (Revised May 2023)
      • Technical Note

      Technical Note: The Traits of Entrepreneurs

      By: Jo Tango and Alys Ferragamo
      Why do some entrepreneurs succeed and others do not? Are there personality traits that lead someone to become an entrepreneur? Although many questions still remain, there has been significant research on the “entrepreneurial personality.” This note provides an... View Details
      Keywords: Entrepreneur; Innovation; Personality; Personality Traits; Risk Preference; Big Five; Locus Of Control; Success; Entrepreneurship; Personal Characteristics
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      Tango, Jo, and Alys Ferragamo. "Technical Note: The Traits of Entrepreneurs." Harvard Business School Technical Note 823-099, March 2023. (Revised May 2023.)
      • March, 2023
      • Article

      Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes

      By: Maria P. Roche
      The transfer of complex knowledge and skills is difficult, often requiring intensive interaction and extensive periods of co-working between a mentor and mentee, which is particularly true in apprenticeship-like settings and on-the-job training. This paper studies a... View Details
      Keywords: Entrepreneurship; Higher Education; Training; Personal Development and Career; Knowledge Dissemination
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      Roche, Maria P. "Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes." Organization Science 34, no. 2 (March, 2023): 959–986.
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
      • January 2023
      • Supplement

      Apple: Privacy vs. Safety (B)

      By: Henry McGee, Nien-hê Hsieh and Christian Godwin
      In 2020, as the COVID-19 pandemic swept across the globe, Apple and Google partnered to develop a contact tracing application that would collect information about users infected with the disease and notify those who they had been in contact with. While Apple/Google’s... View Details
      Keywords: Iphone; Encryption; Data Privacy; Customers; Customer Focus and Relationships; Decision Making; Ethics; Values and Beliefs; Globalized Firms and Management; Government and Politics; Health; Health Pandemics; Leadership; Markets; Safety; Social Issues; Information Technology; Telecommunications Industry; Technology Industry; Consumer Products Industry; Electronics Industry; Health Industry; United States; Europe
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      McGee, Henry, Nien-hê Hsieh, and Christian Godwin. "Apple: Privacy vs. Safety (B)." Harvard Business School Supplement 323-066, January 2023.
      • December 2022
      • Article

      Scarlet Letters: Rehabilitation Through Transgression Transparency and Personal Narrative Control

      By: Erin L. Frey, Ethan Bernstein and Nick Rekenthaler
      When employees commit transgressions, organizations often use tools of organizational control to prevent them from transgressing again. We investigate whether organizations can use transgression transparency to rehabilitate transgressors. Although making transgressions... View Details
      Keywords: Transparency; Workplace; Transgressions; Qualitative Research; Management Practices and Processes; Organizations; Employees; Reputation; Communication
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      Frey, Erin L., Ethan Bernstein, and Nick Rekenthaler. "Scarlet Letters: Rehabilitation Through Transgression Transparency and Personal Narrative Control." Administrative Science Quarterly 67, no. 4 (December 2022): 968–1011. (The first two authors contributed equally to this manuscript.)
      • 2022
      • Article

      How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies

      By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
      We assess how the sudden and widespread shift to working from home during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973 are... View Details
      Keywords: Time-use; Working-from-home; COVID; Managers; Knowledge Workers; Health Pandemics; Time Management
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      Teodorovicz, Thomaz, Raffaella Sadun, Andrew L. Kun, and Orit Shaer. "How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies." Human-Computer Interaction 37, no. 6 (2022): 532–557.
      • 2022
      • White Paper

      The American Opportunity Index: A Corporate Scorecard of Worker Advancement

      By: Matt Sigelman, Joseph Fuller, Nik Dawson and Gad Levanon
      The American Opportunity Index: A Corporate Scorecard of Worker Advancement is a new effort to give companies and other stakeholders a set of robust tools that measure how well major employers are doing in fostering economic mobility for workers and how they could do... View Details
      Keywords: Upward Mobility; Career Advancement; Personal Development and Career; Compensation and Benefits; Employees; Wages; Human Capital; Recruitment
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      Sigelman, Matt, Joseph Fuller, Nik Dawson, and Gad Levanon. "The American Opportunity Index: A Corporate Scorecard of Worker Advancement." White Paper, Burning Glass Institute, October 2022 (A joint project with Harvard Business School Project on Managing the Future of Work and Schultz Family Foundation.)
      • September 16, 2022
      • Article

      A Causal Test of the Strength of Weak Ties

      By: Karthik Rajkumar, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson and Sinan Aral
      The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world’s largest... View Details
      Keywords: Job Mobility; Social Networks; Social Ties; Networks; Personal Development and Career
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      Rajkumar, Karthik, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson, and Sinan Aral. "A Causal Test of the Strength of Weak Ties." Science 377, no. 6612 (September 16, 2022).
      • August 2022
      • Article

      The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices

      By: Aaron R. Brough, David A. Norton, Shannon L. Sciarappa and Leslie K. John
      Drawing from a content analysis of publicly traded companies’ privacy notices, a survey of managers, a field study, and five online experiments, this research investigates how consumers respond to privacy notices. A privacy notice, by placing legally enforceable limits... View Details
      Keywords: Choice; Purchase Intent; Privacy; Privacy Notices; Warnings; Assurances; Information Disclosure; Trust; Consumer Behavior; Spending; Decisions; Information; Communication
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      Brough, Aaron R., David A. Norton, Shannon L. Sciarappa, and Leslie K. John. "The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices." Journal of Marketing Research (JMR) 59, no. 4 (August 2022): 739–754.
      • Article

      Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses

      By: Thomaz Teodorovicz, Andrew L. Kun, Raffaella Sadun and Orit Shaer
      Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a... View Details
      Keywords: In-vehicle User Interfaces; Time-use Study; Automated Vehicles; Knowledge Workers; Commuting
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      Teodorovicz, Thomaz, Andrew L. Kun, Raffaella Sadun, and Orit Shaer. "Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses." International Journal of Human-Computer Studies 162 (June 2022).
      • May 2022
      • Article

      Can Gambling Increase Savings? Empirical Evidence on Prize-Linked Savings Accounts

      By: Shawn A. Cole, Benjamin Iverson and Peter Tufano
      This paper studies the adoption and impact of prize-linked savings (PLS) accounts, which offer lottery-like payouts to individual account holders in lieu of interest. Using microlevel data from a bank in South Africa, we show that PLS is attractive to a broad group of... View Details
      Keywords: Household Finance; Banking; Savings; Prize-linked Savings; Lottery; Household; Personal Finance; Saving; Banks and Banking
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      Cole, Shawn A., Benjamin Iverson, and Peter Tufano. "Can Gambling Increase Savings? Empirical Evidence on Prize-Linked Savings Accounts." Management Science 68, no. 5 (May 2022): 3282–3308.
      • 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).
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