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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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2024
Chapter

Corporations as the Central Institutions of Society

By: Joseph L. Badaracco

Mark Twain observed that, “Prediction is very difficult—particularly when it involves the future,” and he was right. One way to reduce the risk of becoming an infamous forecaster—like the experts who told us the Internet would quickly collapse, that Apple would never... View Details

Keywords: Trends; Business and Government Relations; Organizations; Power and Influence; Society

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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June 2024
Case

SnapTravel: Betting on 'Super.com'

By: Reza Satchu and Tom Quinn

This case explores SnapTravel, a travel startup offering discounted hotel rooms, and its founders’ desire to pivot to a “super app” that saved customers money across many different purchase types. During the COVID-19 pandemic, Hussein Fazal and Henry Shi saw SnapTravel... View Details

June 2024
Case

Tremblant Capital: Launching an Active ETF

By: Robin Greenwood, Luis M. Viceira and Robert Ialenti

The case highlights deliberations led by Brett Barakett, CEO and chief investment officer of Tremblant Capital, just months prior to launching an actively managed ETF, Tremblant Global (TOGA). However, his team continued to have reservations around the launch. On the... View Details

Keywords: Asset Management; Investment Funds; Product Launch; Risk and Uncertainty; Financial Services Industry

June 2024
Article

Counterparty Risk and Counterparty Choice in the Credit Default Swap Market

By: Wenxin Du, Salil Gadgil, Michael Gordy and Clara Vega

We investigate how market participants price and manage counterparty credit risk using confidential trade repository data on single-name credit default swap (CDS) transactions. We find that counterparty risk has a modest impact on the pricing of CDS contracts but a... View Details

Keywords: Credit Derivatives and Swaps; Market Participation; Risk and Uncertainty; Price; Financial Markets; Credit

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June 2024
Article

Oral History and Business History in Emerging Markets

By: Geoffrey Jones

This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183... View Details

Keywords: Emerging Economies; Oral History; Emerging Markets; Business History; Research

June 2024
Article

Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices

By: Jason Shafrin, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington and Richard Willke

This study argues that value assessment conducted from a societal perspective should rely on the Generalized Cost-Effectiveness Analysis (GCEA) framework proposed herein. Recently developed value assessment inventories—such as the Second Panel on Cost-Effectiveness’s... View Details

Keywords: Health Care and Treatment; Valuation; Cost vs Benefits; Society

May 2024
Supplement

gWorks (A)

By: Richard S. Ruback and Royce Yudkoff

In January of 2019, Joe Heieck, CEO of gWorks, was deciding whether to proceed with his acquisition of Data Tech, that was a business roughly the same size as gWorks. gWorks, which provided geospatial software to small city and rural county governments, was acquired by... View Details

May 2024
Supplement

gWorks (B)

By: Richard S. Ruback and Royce Yudkoff

In January of 2019, Joe Heieck, CEO of gWorks, was deciding whether to proceed with his acquisition of Data Tech, that was a business roughly the same size as gWorks. gWorks, which provided geospatial software to small city and rural county governments, was acquired by... View Details

2024
Working Paper

LASH Risk and Interest Rates

By: Laura Alfaro, Saleem Bahaj, Robert Czech, Jonathan Hazell and Ioana Neamtu

We introduce a framework to understand and quantify a form of liquidity risk that we dub Liquidity After Solvency Hedging or “LASH” risk. Financial institutions take LASH risk when they hedge against losses, using strategies that lead to liquidity needs when the value... View Details

Keywords: Liquidity; Monetary Policy; Non-bank Intermediaries; Hedging; Risk and Uncertainty; Investment Funds; Financial Condition; Interest Rates

May 2024
Case

HarvEast

By: Jeremy Friedman and Natalie Kindred

In late 2023, Dmitry Skornyakov, CEO of Ukrainian agribusiness HarvEast, was navigating the turmoil caused by Russia’s invasion of Ukraine that began in 2014 and escalated into full-scale war in February 2022. Before the full-scale invasion, HarvEast managed 127,000... View Details

Keywords: Goods and Commodities; Natural Resources; Food; Problems and Challenges; Adaptation; Innovation and Management; Crisis Management; Logistics; Supply Chain; Risk and Uncertainty; Loss; Trust; Human Needs; War; Agriculture and Agribusiness Industry; Chile; South America; Latin America; Ukraine

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

May 2024
Article

The Health Risks of Generative AI-Based Wellness Apps

By: Julian De Freitas and G. Cohen

Artifcial intelligence (AI)-enabled chatbots are increasingly being used to help people manage their mental health. Chatbots for mental health and particularly ‘wellness’ applications currently exist in a regulatory ‘gray area’. Indeed, most generative AI-powered... View Details

Keywords: AI and Machine Learning; Well-being; Governing Rules, Regulations, and Reforms; Applications and Software

April 2024
Case

Managing AI Risks in Consumer Banking

By: Suraj Srinivasan, Satish Tadikonda, Paul Dongha, Manoj Saxena and Radhika Kak

In early 2024, Ruth Jones, head of digital banking at Signa Bank, a (fictitious) European consumer bank, was thinking about how to best incorporate GenAI capabilities to improve efficiencies and create new ways to improve the customer experience. Where were the biggest... View Details

Keywords: Customer Relationship Management; AI and Machine Learning; Risk Management; Opportunities; Customization and Personalization; Banking Industry; Europe

18 Apr 2024
Lecture

Innovation Opportunities Created by COVID-19 Can Help: And How to Make Them Happen

By: Regina E. Herzlinger

The crush of patients created by COVID enabled the creation of sites for care outside the traditional hospital, such as retail pharmacies, ambulatory surgery centers, urgent care centers, telemedicine, and wireless sensors. Public policy mirrored these changes by... View Details

Keywords: Policy; Health Pandemics; Health Care and Treatment; Innovation and Invention; Health Industry; Insurance Industry

2024
Working Paper

Does the Case for Private Equity Still Hold?

By: Nori Gerardo Lietz and Philipp Chvanov

Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions... View Details

Keywords: Private Equity; Investment Return; Investment Portfolio; Financial Markets

April 2024 (Revised August 2024)
Teaching Note

Silicon Valley Bank: Gone in 36 Hours

By: Jung Koo Kang, Krishna G. Palepu and Charles C.Y. Wang

Teaching Note for HBS Case No. 124-001. View Details

Keywords: Accounting Standards; Bank Runs; Financial Accounting; Financial Reporting; Social Media; Banks and Banking; Financing and Loans; Investment Portfolio; Interest Rates; Debt Securities; Risk and Uncertainty; Financial Statements; Risk Management; Financial Services Industry; United States

April 2024
Article

A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification

By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson

Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details

Keywords: Health Disorders; Health Testing and Trials; AI and Machine Learning; Health Industry

April 2024
Article

Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads

By: Samuel G. Hanson, Aytek Malkhozov and Gyuri Venter

We develop and test a model in which swap spreads are determined by end users' demand for and constrained intermediaries’ supply of long-term interest rate swaps. Swap spreads reflect compensation both for using scarce intermediary capital and for bearing convergence... View Details

Keywords: Swap Spreads; Credit Derivatives and Swaps; Interest Rates; Risk and Uncertainty; Volatility

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