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- January 2025
- Module Note
Understanding and Addressing Gender Gaps
This module provides a framework for students to analyze how gender stereotypes, through their impact on beliefs about others and beliefs about ourselves, contribute to gender gaps in the workplace. The module proceeds in three parts. First, through a case and an... View Details
Coffman, Katherine. "Understanding and Addressing Gender Gaps." Harvard Business School Module Note 925-021, January 2025.
- January 24, 2025
- Article
Behaviorally Designed Training Leads to More Diverse Hiring
By: Cansin Arslan, Edward H. Chang, Siri Chilazi, Iris Bohnet and Oliver P. Hauser
Many organizations have shown interest in increasing the diversity of their workforces for various reasons. Collectively, they have spent millions of dollars and countless employee hours on diversity training. Yet, there is little empirical evidence that such training... View Details
Keywords: Training; Diversity; Selection and Staffing; Behavior; Outcome or Result; Organizational Change and Adaptation
Arslan, Cansin, Edward H. Chang, Siri Chilazi, Iris Bohnet, and Oliver P. Hauser. "Behaviorally Designed Training Leads to More Diverse Hiring." Science 387, no. 6732 (January 24, 2025): 364–366.
- 2025
- Working Paper
Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI
By: Rebecca Karp
Existing literature often separates research on the design of innovations from their implementation and use, neglecting the role of selection—how organizations choose which innovations to implement. Although scholars suggest scientific approaches for selecting novel... View Details
Keywords: Decision Choices and Conditions; Technology Adoption; Groups and Teams; Prejudice and Bias
Karp, Rebecca. "Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI." Harvard Business School Working Paper, No. 25-034, January 2025.
- January 2025
- Case
Uncovering Questionable Behavior
By: David Fubini, Patrick Sanguineti, Amy Chambers and William Fubini
In this short vignette on the boundaries of professionalism, Alex Harding, recently promoted to Team Leader, faces a difficult decision regarding his client. While serving the CFO of the client company in preparation for an upcoming merger, he and his team uncover... View Details
Fubini, David, Patrick Sanguineti, Amy Chambers, and William Fubini. "Uncovering Questionable Behavior." Harvard Business School Case 425-050, January 2025.
- Working Paper
AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance
By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang
Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details
Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry
Exner, Yannick, Jochen Hartmann, Oded Netzer, and Shunyuan Zhang. "AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance." SSRN Working Paper Series, No. 5096969.
- December 2024
- Case
Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey
By: Shikhar Ghosh
In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
Keywords: AI; Machine Learning; Blue Cross; Automation; Digital Strategy; Digital Transformation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Leadership; Organizational Transformations; Technology; Non-profit; Michigan; AI and Machine Learning; Health; Health Industry; Michigan
- 2024
- Working Paper
Why Most Resist AI Companions
By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details
Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised January 2025.)
- November 2024
- Supplement
AlphaGo (C): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
Keywords: AI; Artificial Intelligence; Machine Learning; Research; Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Information Technology; Research And Development; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; United States
- November 2024
- Article
On the Representativeness of Voter Turnout
By: Louis Kaplow and Scott Duke Kominers
Prominent theory research on voting analyzes a variety of models in which expected pivotality drives voters' turnout decisions and hence determines voting outcomes. It is recognized, however, that such work is at odds with Downs's paradox: in practice, many... View Details
Keywords: Voting Behavior; Voting Turnout; Paradox Of Voting; Pivotality; Elections; Model; Theory; Governance Transparency; Government; Democracy; Turnout; Voting; Governance; Government and Politics; Public Sector; Political Elections
Kaplow, Louis, and Scott Duke Kominers. "On the Representativeness of Voter Turnout." Journal of Law & Economics 67, no. 4 (November 2024): 879–904.
- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
- 2025
- Working Paper
Global Evidence on Gender Gaps and Generative AI
By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details
Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024. (Revised January 2025.)
- October 2024
- Article
How to Use Sales Assessments
Judging a person’s fit for a sales job is complex, and research shows that managers greatly overrate their ability to predict someone’s performance on the basis of interviews. Hence, using assessments is a growing trend in sales hiring and training. This article... View Details
Cespedes, Frank V. "How to Use Sales Assessments." Top Sales Magazine (October 2024), 10–11.
- 2024
- Working Paper
Pitfalls of Demographic Forecasts of U.S. Elections
By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.
- September 2024
- Case
Myeloma Investment Fund
By: Kyle Myers and Scott Sawaya
This case explores a critical decision facing the Myeloma Investment Fund (MIF) as it evaluates two investment opportunities aimed at accelerating a cure for multiple myeloma.
The MIF, a venture philanthropy fund, must choose between two distinct paths. One... View Details
The MIF, a venture philanthropy fund, must choose between two distinct paths. One... View Details
Keywords: Venture Philanthropy; Biomedical Research; Investing For Impact; Innovation & Entrepreneurship; Venture Capital; Science-Based Business; Philanthropy and Charitable Giving; Decision Making; Health Care and Treatment; Biotechnology Industry; Pharmaceutical Industry
Myers, Kyle, and Scott Sawaya. "Myeloma Investment Fund." Harvard Business School Case 625-047, September 2024.
- 2024
- Working Paper
Behavioral Attenuation
By: Thomas Graeber, Benjamin Enke, Ryan Oprea and Jeffrey Yang
We report a large-scale examination of behavioral attenuation: due to information-processing constraints, the elasticity of people’s decisions with respect to economic fundamentals is generally too small. We implement more than 30 experiments, 20 of which were... View Details
Graeber, Thomas, Benjamin Enke, Ryan Oprea, and Jeffrey Yang. "Behavioral Attenuation." NBER Working Paper Series, No. 32973, September 2024.
- 2024
- Working Paper
The New Digital Divide
By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
- 2024
- Working Paper
Determinants of Top-Down Sabotage
By: Hashim Zaman and Karim R. Lakhani
We investigate the conditions that motivate managers to impede the growth of talented subordinates due to fears of future competition for their own positions. Our research expands on existing tournament and contest theory literature that considers peer-to-peer sabotage... View Details
Keywords: Succession Planning; Organizational Hierarchy; Compensation; Promotions; Tournaments; Talent and Talent Management; Organizational Structure; Employee Relationship Management; Performance Evaluation; Organizational Culture; Management Skills
Zaman, Hashim, and Karim R. Lakhani. "Determinants of Top-Down Sabotage." Harvard Business School Working Paper, No. 25-007, August 2024. (Revised December 2024.)
- August 2024
- Case
Sky Therapeutics: Innovating in Digital Therapeutics
By: Satish Tadikonda, Olivia Reszczynski and William Marks
Shad Faraz and Alex Youssef were intrigued by the opportunities in the relatively new area of Digital Therapeutics. Despite initial successes, early entrants had struggled with reimbursement and revenue-predictability challenges. However, venture investors still... View Details
- 2024
- Working Paper
How Real Is Hypothetical?: A High-Stakes Test of the Allais Paradox
By: Uri Gneezy, Yoram Halevy, Brian Hall, Theo Offerman and Jeroen van de Ven
Researchers in behavioral and experimental economics often argue that only
incentive-compatible mechanisms can elicit effort and truthful responses from participants.
Others argue that participants make less-biased decisions when the stakes
are sufficiently high.... View Details
Gneezy, Uri, Yoram Halevy, Brian Hall, Theo Offerman, and Jeroen van de Ven. "How Real Is Hypothetical? A High-Stakes Test of the Allais Paradox." Harvard Business School Working Paper, No. 25-005, August 2024.