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- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
- 2025
- Working Paper
The Hidden Costs of Working Multiple Jobs: Implications for Spending Behavior and Wellbeing
By: Paige Tsai and Ryan W. Buell
Across three studies, combining survey data, transaction-level analysis from 90,548 customers of a nationwide retail
bank, and insights from the General Social Survey, we study whether people with multiple jobs spend their labor income differently than people who earn... View Details
Keywords: Behavioral Operations; Employee Behavior; Job Design and Levels; Personal Finance; Well-being; Happiness; Satisfaction; Wages
Tsai, Paige, and Ryan W. Buell. "The Hidden Costs of Working Multiple Jobs: Implications for Spending Behavior and Wellbeing." Harvard Business School Working Paper, No. 25-036, January 2025.
- 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
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
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
De Freitas, Julian. "Why People Resist Embracing AI." Harvard Business Review 103, no. 1 (January–February 2025): 52–56.
- November 2024
- Article
Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge
By: Alberto Cavallo and Oleksiy Kryvtsov
We study how within-store price variation changes with inflation, and whether households exploit it to attenuate the inflation burden. We use micro price data for food products sold by 91 large multi-channel retailers in ten countries between 2018 and 2024. Measuring... View Details
Keywords: Macroeconomics; Inflation and Deflation; Price; Consumer Behavior; Personal Finance; Product Positioning
Cavallo, Alberto, and Oleksiy Kryvtsov. "Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge." Journal of Monetary Economics 148 (November 2024).
- Fall 2024
- Article
The Problem of Good Conduct Among Financial Advisers
By: Mark Egan, Gregor Matvos and Amit Seru
Households in the United States often rely on financial advisers for investment and savings decisions, yet there is a widespread perception that many advisers are dishonest. This distrust is not unwarranted: approximately one in fifteen advisers has a history of... View Details
Egan, Mark, Gregor Matvos, and Amit Seru. "The Problem of Good Conduct Among Financial Advisers." Journal of Economic Perspectives 38, no. 4 (Fall 2024): 193–210.
- 2024
- Working Paper
The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations
By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 2024.)
- 2024
- Working Paper
Smaller than We Thought? The Effect of Automatic Savings Policies
By: James J. Choi, David Laibson, Jordan Cammarota, Richard Lombardo and John Beshears
Medium- and long-run dynamics undermine the effect of automatic enrollment and default savings-rate auto-escalation on retirement savings. Our analysis of 401(k) plans incorporates the facts that employees frequently leave firms (often before matching contributions... View Details
Choi, James J., David Laibson, Jordan Cammarota, Richard Lombardo, and John Beshears. "Smaller than We Thought? The Effect of Automatic Savings Policies." Working Paper.
- 2024
- Working Paper
How Inflation Expectations De-Anchor: The Role of Selective Memory Cues
By: Nicola Gennaioli, Marta Leva, Raphael Schoenle and Andrei Shleifer
In a model of memory and selective recall, household inflation expectations remain rigid when inflation is anchored but exhibit sharp instability during inflation surges, as similarity prompts retrieval of forgotten high-inflation experiences. Using data from the New... View Details
Gennaioli, Nicola, Marta Leva, Raphael Schoenle, and Andrei Shleifer. "How Inflation Expectations De-Anchor: The Role of Selective Memory Cues." NBER Working Paper Series, No. 32633, June 2024.
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- May 2024 (Revised January 2025)
- Technical Note
Education Technology: A Technical Note
By: Boris Groysberg
This note considers educational technology as it intersects with HR technology. View Details
Keywords: Edtech; HR; AI; Data Science; Competency and Skills; Talent and Talent Management; Human Resources; Personal Development and Career; Education Industry; Technology Industry; United States
Groysberg, Boris. "Education Technology: A Technical Note." Harvard Business School Technical Note 424-003, May 2024. (Revised January 2025.)
- 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
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
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
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.
- 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
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
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
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.
- 2024
- Article
Crucibles, Multiple Sensitive Periods, and Career Progression
By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
Keywords: Military Service; Personal Development and Career; Transformation; Power and Influence; Learning; Human Capital
Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Crucibles, Multiple Sensitive Periods, and Career Progression." Academy of Management Proceedings (2024).
- 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
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
Tango, Jo, and Alys Ferragamo. "Technical Note: The Traits of Entrepreneurs." Harvard Business School Technical Note 823-099, March 2023. (Revised May 2023.)