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- All HBS Web
(2,448)
- Faculty Publications (347)
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management... View Details
Keywords: AI and Machine Learning; Personal Characteristics; Perception; Interpersonal Communication
Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
- February 2023
- Case
Roblox: Virtual Commerce in the Metaverse
By: Ayelet Israeli and Nicole Tempest Keller
In 2022, Roblox had 58.8 million daily active users, including over half of all children and teens under the age of 16 in the United States. Roblox, a free-to-use “co-experience platform”, allowed users to come together in immersive 3D experiences to socialize, work,... View Details
Keywords: Entertainment; Games, Gaming, and Gambling; Market Design; Marketing; Brands and Branding; Marketing Channels; Marketing Strategy; Business Strategy; Economics; Economy; Economic Systems; Advertising; Advertising Campaigns; Digital Platforms; Markets; Price; Innovation and Management; Entertainment and Recreation Industry; Video Game Industry; Technology Industry; United States; California; North America; South America; Asia; Europe
Israeli, Ayelet, and Nicole Tempest Keller. "Roblox: Virtual Commerce in the Metaverse." Harvard Business School Case 523-028, February 2023.
- January 2023 (Revised December 2023)
- Case
OhmConnect: Energizing the Future
By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
Founded in 2013, OhmConnect was a free consumer web app that alerted customers about peak hours of electricity demand, and paid them to lower their energy use at home during these periods. The company sold the aggregated reductions generated by thousands of households... View Details
Keywords: App Development; Renewable Energy; Electricity Usage; Regulations; VC; Technology; Customer Acquisition Cost (CAC); Scalability; Applications and Software; Growth and Development Strategy; Governing Rules, Regulations, and Reforms; Business Model; Venture Capital; Energy Industry; United States; California; Texas; Europe
Rayport, Jeffrey F., Jennifer Fonstad, and Nicole Tempest Keller. "OhmConnect: Energizing the Future." Harvard Business School Case 823-065, January 2023. (Revised December 2023.)
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
Keywords: Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- December 7, 2022
- Article
Why Decentralized Crypto Platforms Are Weathering the Crash
By: Shai Bernstein and Scott Duke Kominers
In the past year, crypto markets dropped from $2.9 trillion in value to around $800 billion. In the wake of the collapse, crypto lenders and exchanges have been accused of fraud and other wrongdoing. What went wrong? One factor is competition. In theory, competition... View Details
Keywords: Crypto Economy; Cryptocurrency; Financial Complexity; Financial Crisis; Decentralization; Decentralized Markets; Decentralized Autonomous Organizations; Finance; Market Design; Financial Services Industry
Bernstein, Shai, and Scott Duke Kominers. "Why Decentralized Crypto Platforms Are Weathering the Crash." Harvard Business Review Digital Articles (December 7, 2022).
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- November 2022
- Case
Ajax Health: A New Model for Medical Technology Innovation
By: Regina E. Herzlinger and Ben Creo
This case teaches key success factors for both startup and established MedTech firms. It examines how to structure a firm to maximize innovation and financial returns with organizational structures that better align the incentives for the different skill sets... View Details
Keywords: Business Startups; Success; Innovation Strategy; Mergers and Acquisitions; Market Entry and Exit; Financial Strategy; Business Model; Partners and Partnerships; Entrepreneurship; Private Equity; Technology Industry; Medical Devices and Supplies Industry
Herzlinger, Regina E., and Ben Creo. "Ajax Health: A New Model for Medical Technology Innovation." Harvard Business School Case 323-043, November 2022.
- November 2022
- Case
The Battle Among Channels for Marketing Pharmaceuticals: UpScript, Pharmacy Benefit Managers, and Direct-to-Consumer Sales
By: Regina E. Herzlinger and Tiffany Farrell
Can an online, direct-to-consumer pharmacy both improve the quality and speed of care for patients who need branded drugs and stabilize profits for pharmaceutical manufacturers? UpScript, after years spent achieving legal and regulatory compliance and simultaneous... View Details
Keywords: DTC; Internet and the Web; Marketing Channels; Customer Value and Value Chain; Governing Rules, Regulations, and Reforms; Competitive Strategy; Service Delivery; Growth and Development Strategy; Pharmaceutical Industry; Health Industry; Retail Industry
Herzlinger, Regina E., and Tiffany Farrell. "The Battle Among Channels for Marketing Pharmaceuticals: UpScript, Pharmacy Benefit Managers, and Direct-to-Consumer Sales." Harvard Business School Case 323-031, November 2022.
- October 2022
- Case
Star Magnolia Capital: Becoming Experts at Finding Experts
By: Lauren Cohen, Hao Gao, River Ewing and Grace Headinger
Shinya Deguchi, Founder and Managing Partner of Star Magnolia Capital, a Shanghai-based multi-family office (MFO), considered how to convince a new prospective family that the MFO’s endowment model approach would best suit their needs. In recent decades, there has been... View Details
Keywords: China; Asia; Family Office; Shanghai; Financial Industry; Asset Management; Financial Instruments; Financial Management; Financial Strategy; Investment; Investment Return; Investment Portfolio; Human Capital; Family Business; Financial Services Industry; China; Shanghai
Cohen, Lauren, Hao Gao, River Ewing, and Grace Headinger. "Star Magnolia Capital: Becoming Experts at Finding Experts." Harvard Business School Case 223-038, October 2022.
- June 2022
- Article
A New Initiative to Track HIV Resource Allocation and Costs
By: Ryan McBain, AK Nandakumar, Michael Ruffner, Carlyn Mann, Mai Hijazi, Susanna Baker, Linden Morrison, Kalipso Chalkidou, Shufang Zhang, Iris Semini, Fern Terris-Prestholt, Steven Forsythe, Sarah Byakika, Joshua Musinguzi and Robert S. Kaplan
In early 2020, several global health institutions – including the Global Fund to Fight AIDS, Tuberculosis and Malaria; Joint United Nations Program on HIV/AIDS (UNAIDS); United States Agency for International Development; and Office of the Global AIDS Coordinator at... View Details
Keywords: Activity Based Costing; HIV; Cost; Health Care; Healthcare; Health Care and Treatment; Activity Based Costing and Management; Resource Allocation; Health Industry; Africa
McBain, Ryan, AK Nandakumar, Michael Ruffner, Carlyn Mann, Mai Hijazi, Susanna Baker, Linden Morrison, Kalipso Chalkidou, Shufang Zhang, Iris Semini, Fern Terris-Prestholt, Steven Forsythe, Sarah Byakika, Joshua Musinguzi, and Robert S. Kaplan. "A New Initiative to Track HIV Resource Allocation and Costs." Bulletin of the World Health Organization 100, no. 6 (June 2022): 358–358A.
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- October 2022
- Article
How Leaders with Divergent Visions Generate Novel Strategy: Navigating the Paradox of Preservation and Modernization in Swiss Watchmaking
By: Ryan Raffaelli, Rich DeJordy and Rory M. McDonald
How do leaders with divergent visions for their organization come together to create a novel strategy? This paper employs paradox as a lens to investigate how leader-dyads can integrate opposing strategies to produce a new, generative approach. Drawing on a qualitative... View Details
Keywords: Strategic Paradoxes; Senior Leaders; Organizational Reinvention; Leadership; Technological Innovation; Innovation and Management; Innovation Strategy; Change; Manufacturing Industry; Consumer Products Industry; Switzerland
Raffaelli, Ryan, Rich DeJordy, and Rory M. McDonald. "How Leaders with Divergent Visions Generate Novel Strategy: Navigating the Paradox of Preservation and Modernization in Swiss Watchmaking." Academy of Management Journal 65, no. 5 (October 2022): 1593–1622.
- October 2022
- Article
Sovereign Risk, Currency Risk, and Corporate Balance Sheets
By: Wenxin Du and Jesse Schreger
We provide a comprehensive account of the evolution of the currency composition of sovereign and corporate external borrowing by emerging markets from 2003 to 2017. We show that a higher reliance on foreign currency debt by the corporate sector is associated with... View Details
Du, Wenxin, and Jesse Schreger. "Sovereign Risk, Currency Risk, and Corporate Balance Sheets." Review of Financial Studies 35, no. 10 (October 2022): 4587–4629.
- Fall 2022
- Article
China's Political Economy and International Backlash: From Interdependence to Security Dilemma Dynamics
By: Margaret Pearson, Meg Rithmire and Kellee Tsai
Contrary to expectations that economic interdependence might lessen security conflict between China and the U.S. and its allies, much of the contestation between China and several OECD countries has focused on firms and economic links. This paper explains the... View Details
Pearson, Margaret, Meg Rithmire, and Kellee Tsai. "China's Political Economy and International Backlash: From Interdependence to Security Dilemma Dynamics." International Security 47, no. 2 (Fall 2022): 135–176.
- 2022
- Working Paper
Slowly Varying Regression under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Keywords: Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression under Sparsity." Working Paper, September 2022.
- August 2022 (Revised December 2022)
- Case
Iluméxico: For Every Family to Have Power
By: Brian Trelstad, Isa Oliveres and Jenyfeer Martinez Buitrago
In 2022, Manuel Wiechers, the CEO of Iluméxico, a for-profit social enterprise that provided off-grid solar energy services in rural Mexico, was finalizing his presentation for the company’s upcoming board meeting. In the 12 years since Wiechers had co-founded... View Details
Keywords: Social Entrepreneurship; Social Enterprise; Energy; Energy Policy; Energy Generation; Energy Sources; Growth Management; Business and Government Relations; Equity; Internet and the Web; Business Model; Energy Industry; Mexico; Latin America
Trelstad, Brian, Isa Oliveres, and Jenyfeer Martinez Buitrago. "Iluméxico: For Every Family to Have Power." Harvard Business School Case 323-026, August 2022. (Revised December 2022.)
- Article
The Value of Intermediation in the Stock Market
By: Marco Di Maggio, Mark Egan and Francesco Franzoni
We estimate a structural model of broker choice to quantitatively decompose the value that institutional investors attach to broker services. Studying over 300 million institutional equity trades, we find that investors are sensitive to both explicit and implicit... View Details
Keywords: Financial Intermediation; Institutional Investors; Research Analysts; Broker Networks; Equity Trading; Institutional Investing
Di Maggio, Marco, Mark Egan, and Francesco Franzoni. "The Value of Intermediation in the Stock Market." Journal of Financial Economics 145, no. 2A (August 2022): 208–233.
- 2022
- Working Paper
Pricing Power in Advertising Markets: Theory and Evidence
By: Matthew Gentzkow, Jesse M. Shapiro, Frank Yang and Ali Yurukoglu
Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize and extend this theoretical result and test it using data from television and social media... View Details
Gentzkow, Matthew, Jesse M. Shapiro, Frank Yang, and Ali Yurukoglu. "Pricing Power in Advertising Markets: Theory and Evidence." NBER Working Paper Series, No. 30278, July 2022.