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- June 2023
- Case
Investing in the Climate Transition at Neuberger Berman
By: George Serafeim and Benjamin Maletta
By mid-2023, Neuberger Berman (NB), an active asset manager, had grown its assets under management to about half a trillion dollars and took pride in its client centricity and innovative spirit. Responding to client demand for investment products that integrated... View Details
Keywords: Carbon Emissions; Sustainability; Decarbonization; Performance; Risk Assessment; Opportunities; Environmental Sustainability; Carbon Footprint; Business Analysis; Investing; Regulation; Asset Management; Investment Strategy; Climate Change; Transition; Analysis; Product Positioning; Strategy; Investment Portfolio; Financial Services Industry; Energy Industry
Serafeim, George, and Benjamin Maletta. "Investing in the Climate Transition at Neuberger Berman." Harvard Business School Case 123-092, June 2023.
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- January 2023
- Article
The Dark Side of Machiavellian Rhetoric: Signaling in Reward-Based Crowdfunding Performance
By: Goran Calic, Rene Arseneault and Maryam Ghasemaghaei
In this study, we explore the impact of Machiavellian rhetoric on fundraising within the increasingly important context of online crowdfunding. The “all-or-nothing” funding model used by the world’s largest crowdfunding platform, Kickstarter, may be an attractive... View Details
Calic, Goran, Rene Arseneault, and Maryam Ghasemaghaei. "The Dark Side of Machiavellian Rhetoric: Signaling in Reward-Based Crowdfunding Performance." Journal of Business Ethics 182, no. 3 (January 2023): 875–896.
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 2023
- Working Paper
Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach
By: Alberto Cavallo and Gaston Garcia Zavaleta
We combine standard structural-break methods with high-frequency data to identify shifts in inflation trends. We use this approach to study the inflation dynamics of 25 countries from January 2022 to April 2023 and find evidence of a broad-based slowdown in about half... View Details
Cavallo, Alberto, and Gaston Garcia Zavaleta. "Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach." Working Paper, May 2023. (Preliminary draft.)
- May–June 2023
- Article
Unmasking Behaviors During the Pandemic with Video Analytics
By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down viral transmission. People complied to varying extents, and their reactions may have been driven by a variety of psychological factors.... View Details
Zhang, Shunyuan, Kaiquan Xu, and Kannan Srinivasan. "Unmasking Behaviors During the Pandemic with Video Analytics." Marketing Science 42, no. 3 (May–June 2023): 440–450.
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- April 2023
- Article
Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach
By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun
Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current... View Details
Xing, Yilun, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer, and Andrew Kun. "Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach." Transportation Research Part F: Traffic Psychology and Behaviour 94 (April 2023): 305–320.
- March 2023
- Module Note
The Advisor's Approach to Strategy Analysis
By: David G. Fubini and Patrick Sanguineti
A module note for the Mastering Consulting and Advisory Skills (MCAS) course, "The Advisor's Approach to Strategy Analysis" introduces the options-led approach to strategy as well as how this valuable piece of an advisor's toolbelt differs from that of an operator. View Details
Keywords: Strategy
Fubini, David G., and Patrick Sanguineti. "The Advisor's Approach to Strategy Analysis." Harvard Business School Module Note 423-080, March 2023.
- 2023
- Article
Comparison of COVID-19 Hospitalization Costs across Care Pathways: A Patient-level Time-driven Activity-based Costing Analysis in a Brazilian Hospital
By: Ricardo Bertoglio Cardoso, Miriam Allein Zago Marcolino, Milena Soriano Marcolino, Camila Felix Fortis, Leila Beltrami Moreira, Ana Paula Coutinho, Nadine Oliveira Clausell, Junaid Nabi, Robert S. Kaplan, Ana Paula Beck da Silva Etges and Carisi Anne Polanczyk
The COVID-19 pandemic raised awareness of the need to better understand where and how patient-level costs are incurred in health care organizations. This study used time-driven activity-based costing to estimate COVID-19 patient-level hospital costs in a Brazilian... View Details
Cardoso, Ricardo Bertoglio, Miriam Allein Zago Marcolino, Milena Soriano Marcolino, Camila Felix Fortis, Leila Beltrami Moreira, Ana Paula Coutinho, Nadine Oliveira Clausell, Junaid Nabi, Robert S. Kaplan, Ana Paula Beck da Silva Etges, and Carisi Anne Polanczyk. "Comparison of COVID-19 Hospitalization Costs across Care Pathways: A Patient-level Time-driven Activity-based Costing Analysis in a Brazilian Hospital." BMC Health Services Research 23, no. 198 (2023).
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- February 2023
- Teaching Note
Bear to Bull? An Analyst’s Journey with Netflix
By: Aiyesha Dey and Joseph Pacelli
Teaching Note for HBS Case No. 123-001. Wedbush Securities analyst Michael Pachter said “hell freezing over” was more likely than him upgrading the “sell” rating he had maintained on movie and television streaming giant Netflix since 2011, despite meteoric subscriber... View Details
- 2024
- Working Paper
Everyone Steps Back?: The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High
By: John (Jianqui) Bai, William R. Kerr, Chi Wan and Alptug Yorulmaz
We study racial biases on Kickstarter across multiple ethnic groups from 2009-2021. Scaling the concept of racially salient events, we quantify the close co-movement of minority funding gaps to inflamed political rhetoric surrounding migration. The racial funding gap... View Details
Bai, John (Jianqui), William R. Kerr, Chi Wan, and Alptug Yorulmaz. "Everyone Steps Back? The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High." Harvard Business School Working Paper, No. 23-046, January 2023. (Revised February 2024.)
- February 2023
- Article
National Models of Climate Governance Among Major Emitters
By: Johnathan Guy, Esther Shears and Jonas Meckling
National climate institutions structure the process of climate mitigation policymaking and shape climate policy ambition and performance. Countries have, for example, been building science bodies, passing climate laws and creating new agencies. Here we provide the... View Details
Guy, Johnathan, Esther Shears, and Jonas Meckling. "National Models of Climate Governance Among Major Emitters." Nature Climate Change 13, no. 2 (February 2023): 189–195.
- January 2023 (Revised November 2023)
- Technical Note
Ethical Analysis: Honesty and Self-Interest
By: Nien-hê Hsieh and Christopher Diak
Information asymmetry is pervasive in business and can often confer great advantage. This note distinguishes forms of deceptive behavior in the face of information asymmetry and aims to help students analyze their impermissibility. View Details
Hsieh, Nien-hê, and Christopher Diak. "Ethical Analysis: Honesty and Self-Interest." Harvard Business School Technical Note 323-067, January 2023. (Revised November 2023.)
- January 2023
- Supplement
Organizational Climate Transition Risk Model
By: George Serafeim and Benjamin Maletta
- January 2023
- Case
EKI Energy Services: One Billion Carbon Credits
By: George Serafeim
Within nine months from the time of its Initial Public Offering (IPO) in April of 2021, EKI Energy Services (EKI) shares had increased by more than 8,000%. Equally explosive was the growth of the company’s revenues and Earnings Before Interest, Taxes and Depreciation... View Details
Keywords: Carbon Credits; Carbon Emissions; Growth; Business Analysis; Environmental Sustainability; Corporate Valuation; Climate Change; Accounting; Valuation; Transition; Renewable Energy; Analysis; Product Positioning; India
Serafeim, George. "EKI Energy Services: One Billion Carbon Credits." Harvard Business School Case 123-060, January 2023.
- January 2023
- Supplement
TSG Hoffenheim: Step-by-Step Analysis in Excel
By: Feng Zhu, Karim R. Lakhani, Sascha L. Schmidt and Kerry Herman
Zhu, Feng, Karim R. Lakhani, Sascha L. Schmidt, and Kerry Herman. "TSG Hoffenheim: Step-by-Step Analysis in Excel." Harvard Business School Supplement 623-049, January 2023.
- January 2023
- Supplement
TSG Hoffenheim; Step by Step Analysis in Excel
By: Feng Zhu, Karim R. Lakhani, Kerry Herman and Sascha L. Schmidt