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      • August 2024 (Revised March 2025)
      • Case

      DBS' AI Journey

      By: Feng Zhu, Harold Zhu and Adina Wong
      Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers.... View Details
      Keywords: Corporate Governance; AI and Machine Learning; Digital Transformation; Risk Management; Value Creation; Banking Industry; Financial Services Industry; Asia; Singapore
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      Zhu, Feng, Harold Zhu, and Adina Wong. "DBS' AI Journey." Harvard Business School Case 625-053, August 2024. (Revised March 2025.)
      • August 2024 (Revised September 2024)
      • Case

      Dishoom: From Bombay with Love

      By: Anjali M. Bhatt and Thomas J. DeLong
      Shamil and Kavi Thakrar, co-founders of Dishoom, faced critical decisions as they looked to expand the UK-based restaurant group. Shamil, the CEO, was confident in Dishoom's potential for growth but he was concerned about preserving the culture and values centered... View Details
      Keywords: Human Resource Management; Growth And Scaling; Organizational Culture; Values and Beliefs; Growth Management; Expansion; United Kingdom
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      Bhatt, Anjali M., and Thomas J. DeLong. "Dishoom: From Bombay with Love." Harvard Business School Case 425-025, August 2024. (Revised September 2024.)
      • 2025
      • Working Paper

      Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

      By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
      Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details
      Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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      Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)
      • 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
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      Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Crucibles, Multiple Sensitive Periods, and Career Progression." Academy of Management Proceedings (2024).
      • 2024
      • Article

      Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

      By: Michael Lingzhi Li and Kosuke Imai
      A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
      Keywords: AI and Machine Learning; Research
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      Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
      • Working Paper

      The Returns to Skills During the Pandemic: Experimental Evidence from Uganda

      By: Livia Alfonsi, Vittorio Bassi, Imran Rasul and Elena Spadini
      The Covid-19 pandemic represents one of the most significant labor market shocks to the world economy in recent times. We present evidence from a field experiment to understand whether and why skilled and unskilled workers were differentially impacted by the shock, in... View Details
      Keywords: COVID-19 Pandemic; System Shocks; Labor; Competency and Skills; Development Economics; Uganda
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      Alfonsi, Livia, Vittorio Bassi, Imran Rasul, and Elena Spadini. "The Returns to Skills During the Pandemic: Experimental Evidence from Uganda." Harvard Business School Working Paper, No. 25-003, August 2024. (NBER Working Paper Series, No. 32785, August 2024.)
      • 2024
      • Working Paper

      The Rise of Alternatives

      By: Juliane Begenau, Pauline Liang and Emil Siriwardane
      Since the 2000s, U.S. public pensions have shifted their risky investments towards alternative assets like private equity and hedge funds, some more aggressively than others. We explore several explanations for these cross-sectional trends, focusing on those implied by... View Details
      Keywords: Investment Funds; Investment Return; Risk and Uncertainty
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      Begenau, Juliane, Pauline Liang, and Emil Siriwardane. "The Rise of Alternatives." Harvard Business School Working Paper, No. 25-016, August 2024.
      • July 2024 (Revised January 2025)
      • Case

      Rockefeller Philanthropy Advisors: Bringing Systematic Investment to Philanthropy

      By: Lauren Cohen, Hao Gao, Alexander Bischoff and Sophia Pan
      Melissa Berman, CEO of Rockefeller Philanthropy Advisors (RPA), evaluated her client’s philanthropy project and its mediocre performance. RPA was a segment of the Rockefeller Family Office’s Philanthropy Department, becoming an independent charity in 2002. Consistently... View Details
      Keywords: Philanthropic Sector; Foundation; Due Diligence; Humanitarianism; Humanitarian Assistance; Grants; HNW Products And Services; Donations; Impact; Advisor; Advice; Consulting; Funding; Consulting Services; Family Business; Cost vs Benefits; Developing Countries and Economies; Private Sector; Spending; Mission and Purpose; Philanthropy and Charitable Giving; Performance Evaluation; Nonprofit Organizations; Reputation; Social and Collaborative Networks; Social Issues; Wealth and Poverty; Experience and Expertise; Consulting Industry; New York (city, NY); New York (state, US); United States
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      Cohen, Lauren, Hao Gao, Alexander Bischoff, and Sophia Pan. "Rockefeller Philanthropy Advisors: Bringing Systematic Investment to Philanthropy." Harvard Business School Case 225-005, July 2024. (Revised January 2025.)
      • July 2024
      • Case

      Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones

      By: Lauren Cohen, Richard Ryffel, Grace Headinger and Sophia Pan
      Edward Jones, a wealth management advisory firm that prided itself on its interpersonal connections and face-to-face interactions, was eager to augment their services with AI capabilities. Built on 1-to-1 close-knit relationships, the firm had more than 15,000 offices... View Details
      Keywords: Fintech; Innovation And Strategy; Financial Advisors; Big Data; Artificial Intelligence; Digitization; Financial Institutions; Business Strategy; Competitive Advantage; Technology Adoption; Business Plan; Technological Innovation; Interpersonal Communication; Communication Intention and Meaning; Communication Strategy; Transformation; Employee Stock Ownership Plan; Disruptive Innovation; Innovation Strategy; Innovation and Management; Innovation Leadership; Knowledge Acquisition; Knowledge Use and Leverage; Customer Relationship Management; AI and Machine Learning; Digital Strategy; Financial Services Industry; St. Louis; Missouri; United States; Canada
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      Cohen, Lauren, Richard Ryffel, Grace Headinger, and Sophia Pan. "Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones." Harvard Business School Case 225-009, July 2024.
      • July 2024
      • Article

      Acceptance of Automated Vehicles Is Lower for Self than Others

      By: Stuti Agarwal, Julian De Freitas, Anya Ragnhildstveit and Carey K. Morewedge
      Road traffic accidents are the leading cause of death worldwide for people aged 2–59. Nearly all deaths are due to human error. Automated vehicles could reduce mortality risks, traffic congestion, and air pollution of human-driven vehicles. However, their adoption... View Details
      Keywords: Transportation; Risk and Uncertainty; Technology Adoption; Prejudice and Bias
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      Agarwal, Stuti, Julian De Freitas, Anya Ragnhildstveit, and Carey K. Morewedge. "Acceptance of Automated Vehicles Is Lower for Self than Others." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 269–281.
      • July 2024
      • Article

      Chatbots and Mental Health: Insights into the Safety of Generative AI

      By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
      Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
      Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
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      De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
      • July, 2024
      • Article

      Consumer Protection in an Online World: An Analysis of Occupational Licensing

      By: Chiara Farronato, Andrey Fradkin, Bradley Larsen and Erik Brynjolfsson
      We study the demand and supply implications of occupational licensing using transaction-level data from a large online platform for home improvement services. We find that demand is more responsive to a professional's reviews than to the professional's... View Details
      Keywords: Occupational Licensing; Consumer Protection; Perception; Experience and Expertise; Public Opinion; Governing Rules, Regulations, and Reforms; Demand and Consumers
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      Farronato, Chiara, Andrey Fradkin, Bradley Larsen, and Erik Brynjolfsson. "Consumer Protection in an Online World: An Analysis of Occupational Licensing." American Economic Journal: Applied Economics 16, no. 3 (July, 2024): 549–579.
      • July 2024
      • Article

      Demographic 'Stickiness': The Demographic Identity of Departing Group Members Influences Who Is Chosen to Replace Them

      By: Edward H. Chang and Erika Kirgios
      People tasked with replacing a departing group member are disproportionately likely to choose a replacement with the same demographic identity, leading to demographic “stickiness” in group composition. We examine this effect in 2,163 U.S. federal judge appointments... View Details
      Keywords: Loss Aversion; Diversity; Race; Gender; Decisions
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      Chang, Edward H., and Erika Kirgios. "Demographic 'Stickiness': The Demographic Identity of Departing Group Members Influences Who Is Chosen to Replace Them." Management Science 70, no. 7 (July 2024): 4236–4259.
      • July–August 2024
      • Article

      Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

      By: Ta-Wei Huang and Eva Ascarza
      Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details
      Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
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      Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
      • July 2024
      • Article

      How Artificial Intelligence Constrains Human Experience

      By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
      Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
      Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
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      Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
      • 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
      Keywords: Cognition and Thinking; Inflation and Deflation; Personal Finance
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      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

      The Golden Revolving Door

      By: Ling Cen, Lauren Cohen, Jing Wu and Fan Zhang
      Using both the onset of the US-China trade war in 2018 and the most recent Russia-Ukraine war and associated trade tensions, we show a counterintuitive pattern in global trade. Namely, while the average firm trading with these nations significantly decreases their... View Details
      Keywords: Trade; Business and Government Relations; International Relations
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      Cen, Ling, Lauren Cohen, Jing Wu, and Fan Zhang. "The Golden Revolving Door." NBER Working Paper Series, No. 32621, June 2024.
      • 2024
      • Working Paper

      Webmunk: A New Tool for Studying Online Behavior and Digital Platforms

      By: Chiara Farronato, Andrey Fradkin and Chris Karr
      Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
      Keywords: Policy; Technology Adoption; Behavior; Research; Consumer Behavior; Internet and the Web
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      Farronato, Chiara, Andrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
      • July 2024
      • Article

      Whether to Apply

      By: Katherine B. Coffman, Manuela Collis and Leena Kulkarni
      Labor market outcomes depend, in part, upon an individual’s willingness to put herself forward for different opportunities. We use a series of experiments to explore gender differences in willingness to apply for higher return, more challenging work. We find that, in... View Details
      Keywords: Beliefs; Recruitment; Job Search; Gender; Attitudes
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      Coffman, Katherine B., Manuela Collis, and Leena Kulkarni. "Whether to Apply." Management Science 70, no. 7 (July 2024): 4649–4669.
      • June 2024
      • Teaching Note

      Skills-First Hiring at IBM

      By: Boris Groysberg and Sarah Mehta
      Teaching note for “Skills-First Hiring at IBM,” case no. 422-013. View Details
      Keywords: Competency and Skills; Experience and Expertise; Talent and Talent Management; Human Resources; Human Capital; Employees; Recruitment; Retention; Selection and Staffing; Jobs and Positions; Job Design and Levels; Job Interviews; Society; Societal Protocols; Technology Industry; United States; New York (state, US)
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      Groysberg, Boris, and Sarah Mehta. "Skills-First Hiring at IBM." Harvard Business School Teaching Note 424-074, June 2024.
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