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      • 2025
      • Working Paper

      The Hidden Costs of Flexible Labor Models: How Working Multiple Jobs Affects Employees

      By: Paige Tsai and Ryan W. Buell
      As operations increasingly rely upon flexible labor models—such as gig, part-time, and remote work—it has become commonplace for individuals to work multiple jobs. Across three studies, relying on a combination of transaction-level data from 90,548 customers of a... View Details
      Keywords: Behavioral Operations; Employee Behavior; Job Design; Sustainable Operations; Job Design and Levels; Personal Finance; Well-being; Happiness; Satisfaction; Wages
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      Tsai, Paige, and Ryan W. Buell. "The Hidden Costs of Flexible Labor Models: How Working Multiple Jobs Affects Employees." Harvard Business School Working Paper, No. 25-036, January 2025. (Revised June 2025.)
      • January 2025
      • Case

      Untapped Global: Financing Africa's Missing Middle

      By: Raymond Kluender and Emanuele Colonnelli
      In November 2024, Jim Chu, founder and CEO of Untapped Global, faced mounting internal tensions over the company’s strategic direction. Untapped had developed a data-driven revenue-based financing (RBF) model to address the “missing middle” problem—the $5.2 trillion... View Details
      Keywords: Social Entrepreneurship; Venture Capital; Working Capital; Private Equity; Financial Strategy; Microfinance; International Finance; Currency Exchange Rate; Profit Sharing; Revenue; Developing Countries and Economies; Economic Growth; Emerging Markets; Mission and Purpose; Small Business; Entrepreneurial Finance; Banking Industry; Financial Services Industry; Information Technology Industry; Technology Industry; Africa; Nigeria; South Africa; Kenya; Uganda; California; San Francisco
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      Kluender, Raymond, and Emanuele Colonnelli. "Untapped Global: Financing Africa's Missing Middle." Harvard Business School Case 825-056, January 2025.
      • January 2025
      • Supplement

      Hippo: Weathering the Storm of the Home Insurance Crisis (B)

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Rick McCathron, CEO of Hippo, was optimistic about the InsurTech's path to profitability after navigating the financial uncertainties of 2022. By bundling their home insurance services with third-parties and established insurance incumbents, Hippo was adopting a... View Details
      Keywords: Fintech; Underwriters; Big Data; Homeowners' Insurance; Catastrophe Risk; Global Warming; Environment; Business Economics; Vertical Specialization; Bundling; Economies Of Scale; Business Model; Forecasting and Prediction; Climate Change; Environmental Sustainability; Green Technology; Technological Innovation; Natural Environment; Natural Disasters; Weather; Business Strategy; Competitive Advantage; Business Earnings; Insurance; Social Issues; Profit; Growth and Development Strategy; Insurance Industry; California; United States
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      Cohen, Lauren, Grace Headinger, and Sophia Pan. "Hippo: Weathering the Storm of the Home Insurance Crisis (B)." Harvard Business School Supplement 225-051, January 2025.
      • January 2025
      • Case

      AI Meets VC: The Data-Driven Revolution at Quantum Light Capital

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
      Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
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      Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.
      • January 2025
      • Technical Note

      Get Cool: Air Conditioning Industry Background

      By: Rosabeth Moss Kanter and Jacob A. Small
      The “air conditioning paradox” is tied to climate change: the more the planet warms, the greater the need for cooling (due to the dangers of extreme heat as well as comfort within buildings), but the use of electricity-powered AC contributes to further warming. There... View Details
      Keywords: Appliances; Global Warming; Energy Efficiency; Climate Change; Venture Capital; Demand and Consumers; Distribution Channels; Green Technology; United States; Asia
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      Kanter, Rosabeth Moss, and Jacob A. Small. "Get Cool: Air Conditioning Industry Background." Harvard Business School Technical Note 325-077, January 2025.
      • January 2025
      • Case

      PayJoy: Financing for the Next Billion

      By: Boris Groysberg and Sarah L. Abbott
      PayJoy, an impact-driven financial technology company founded in 2015, provides smartphone financing and other financial products to customers who lack access to traditional credit products. As of early 2025, PayJoy had issued $2.5 billion in loans to 13 million... View Details
      Keywords: Social Impact; Fintech; Underbanked; Algorithm; Data Analysis; Technology; Business Startups; Business Model; Growth and Development; Information Technology; Social Enterprise; Developing Countries and Economies; Credit; Mission and Purpose; Entrepreneurship; Financing and Loans; Financial Services Industry; Technology Industry; South America; South Africa; Asia; Latin America; Africa; Southeast Asia
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      Groysberg, Boris, and Sarah L. Abbott. "PayJoy: Financing for the Next Billion." Harvard Business School Case 425-036, January 2025.
      • January 2025 (Revised April 2025)
      • Case

      Blue Frontier: Disrupting Air Conditioning

      By: Rosabeth Moss Kanter and Jacob A. Small
      Serial entrepreneur Daniel Betts founded Blue Frontier in South Florida to offer a climate-friendly solution to increase air conditioning efficiency and dehumidify using new technology he developed. Backed by significant venture capital, Blue Frontier had to choose... View Details
      Keywords: Entrepreneurship; Climate Change; Environmental Sustainability; Technological Innovation; Market Entry and Exit; Performance Efficiency; Business Strategy; Florida
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      Kanter, Rosabeth Moss, and Jacob A. Small. "Blue Frontier: Disrupting Air Conditioning." Harvard Business School Case 325-088, January 2025. (Revised April 2025.)
      • January 2025
      • Case

      Redwood & Strong: The Value of a Consulting Engagement

      By: David G. Fubini and Patrick Sanguineti
      The board of Redwood & Strong LLP (R&S), the American branch of a large global law firm, is meeting to review the findings of a recent strategic initiative designed to identify potential merger candidates. The request for the engagement originated from Daniel Crawford,... View Details
      Keywords: Client Service; Professional Service Firm; Professional Services; Consulting; Mergers and Acquisitions; Governing and Advisory Boards; Reports; Strategic Planning; Value; Consulting Industry; Legal Services Industry; United States
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      Fubini, David G., and Patrick Sanguineti. "Redwood & Strong: The Value of a Consulting Engagement." Harvard Business School Case 425-070, January 2025.
      • 2025
      • Working Paper

      Causes and Extent of Increasing Partisan Segregation in the U.S. – Evidence from Migration Patterns of 212 Million Voters

      By: Jacob R. Brown, Enrico Cantoni, Vincent Pons and Emilie Sartre
      Using data on the residential location and migration for every voter in U.S. states recording partisan registration between 2008–2020, we find that residential segregation between Democrats and Republicans has increased year over year at all geographic levels, from... View Details
      Keywords: Voting; Political Elections; Geographic Location; Demographics
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      Brown, Jacob R., Enrico Cantoni, Vincent Pons, and Emilie Sartre. "Causes and Extent of Increasing Partisan Segregation in the U.S. – Evidence from Migration Patterns of 212 Million Voters." NBER Working Paper Series, No. 33422, January 2025.
      • 2025
      • Working Paper

      Home Sweet Home: How Much Do Employees Value Remote Work?

      By: Zoë B. Cullen, Bobak Pakzad-Hurson and Ricardo Perez-Truglia
      We estimate the value employees place on remote work using revealed preferences in a high-stakes, real-world context, focusing on U.S. tech workers. On average, employees are willing to accept a 25% pay cut for partly or fully remote roles. Our estimates are three to... View Details
      Keywords: Employees; Compensation and Benefits; Satisfaction; Value; Research
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      Cullen, Zoë B., Bobak Pakzad-Hurson, and Ricardo Perez-Truglia. "Home Sweet Home: How Much Do Employees Value Remote Work?" NBER Working Paper Series, No. 33383, January 2025.
      • 2025
      • Article

      Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

      By: Kosuke Imai and Michael Lingzhi Li
      Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
      Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science
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      Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
      • January–February 2025
      • Article

      The Double-Edged Sword of Exemplar Similarity

      By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
      We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
      Keywords: Natural Language Processing; Analytics and Data Science; Performance Evaluation
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      Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
      • January–February 2025
      • Article

      Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

      By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
      For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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      Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
      • January–February 2025
      • Article

      Why People Resist Embracing AI

      By: Julian De Freitas
      The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Perception
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      De Freitas, Julian. "Why People Resist Embracing AI." Harvard Business Review 103, no. 1 (January–February 2025): 52–56.
      • January–February 2025
      • Article

      Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them

      By: Julian De Freitas
      The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
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      De Freitas, Julian. "Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them." Harvard Business Review 103, no. 1 (January–February 2025).
      • December 2024
      • Teaching Note

      Assessing the Value of Unifying and De-duplicating Customer Data

      By: Elie Ofek and Hema Yoganarasimhan
      Teaching Note for HBS Case No. 525-023. View Details
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      Ofek, Elie, and Hema Yoganarasimhan. "Assessing the Value of Unifying and De-duplicating Customer Data." Harvard Business School Teaching Note 525-033, December 2024.
      • 2024
      • Article

      Psychological Safety as an Enduring Resource amid Constraints

      By: Hassina Bahadurzada, Amy C. Edmondson and Michaela J. Kerrissey
      While psychological safety is recognized as valuable in healthcare, its relationship to resource constraints is not well understood. We investigate whether psychological safety mitigates the negative impact of resource constraints on employees. Leveraging longitudinal... View Details
      Keywords: Burnout; Psychological Safety; Healthcare Administration; Health Care and Treatment; Employees; Retention; Well-being; Health Industry
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      Bahadurzada, Hassina, Amy C. Edmondson, and Michaela J. Kerrissey. "Psychological Safety as an Enduring Resource amid Constraints." Special Issue on Psychological Safety in Healthcare Settings. International Journal of Public Health 69 (2024).
      • 2024
      • Working Paper

      Scaling Core Earnings Measurement with Large Language Models

      By: Matthew Shaffer and Charles CY Wang
      We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
      Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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      Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
      • November 2024 (Revised January 2025)
      • Case

      MiDAS: Automating Unemployment Benefits

      By: Shikhar Ghosh and Shweta Bagai
      In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
      Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
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      Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?

      By: Paula Rettl, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi and Sergi Pardos-Prado
      The growing participation of women in the labor market has marked a significant societal transformation, coinciding with the rise of gender conservatism and far-right support. We study whether the economic consequences of labor market feminization and gender backlash... View Details
      Keywords: Gender Bias; Gender Equality; Gender Inclusivity; Politics; Political Backlash; Political Culture; Conservatism; Gender; Government and Politics; Equality and Inequality; Prejudice and Bias; Labor
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      Rettl, Paula, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi, and Sergi Pardos-Prado. "A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?" Harvard Business School Working Paper, No. 25-022, November 2024.
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