Publications
Publications
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- All HBS Web
(4,157)
- Faculty Publications (1,261)
- February 2022 (Revised September 2022)
- Case
InstaDeep: AI Innovation Born in Africa (A)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.].... View Details
- February 2022 (Revised July 2022)
- Supplement
InstaDeep: AI Innovation Born in Africa (B)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.].... View Details
- February 2022
- Case
Business Roundtable 2019 Statement: A New Paradigm or Business as Usual?
By: Charles C.Y. Wang and Amram Migdal
This note focuses on the antecedents of, reactions to, and clarifications about The Business Roundtable’s August 19, 2019, “Statement on the Purpose of a Corporation.” The note includes background information on corporate governance as practiced in the United States in... View Details
- 2022
- Chapter
Key Success Factors in Environmental Entrepreneurship: The Case of Wilderness Safaris
By: James E. Austin, Megan Epler Woods and Herman B. Leonard
This chapter analyzes the entrepreneurial conception and evolution of the Wilderness Safaris (WS) ecotourism enterprise operating in eight African countries. It illuminates a series of factors that contribute to positive environmental impact as well as financial... View Details
- February 2022 (Revised November 2022)
- Case
Nuritas
By: Mitchell Weiss, Satish Tadikonda, Vincent Dessain and Emer Moloney
Nora Khaldi had built a technology “to unlock the power of nature” in the service of extending human lifespan and improving health, and now in April 2020 was debating telling her Board of Directors she wanted to put on ice some of her discoveries. Nuritas, the company... View Details
- January 2022
- Background Note
Residual Income Valuation Model
By: Charles C.Y. Wang and Albert Shin
This note explains the residual income valuation model (RIM), how it relates to "traditional" valuation models, the intuition behind its use, and empirical research related to its value relevance. RIM is theoretically equivalent to the dividend discount model and the... View Details
- 2022
- Chapter
Fiscal Development under Colonial and Sovereign Rule
By: Ewout Frankema and Marlous van Waijenburg
This chapter explores differences in the making of a ‘modern’ fiscal state under colonial and sovereign rule. Focusing on African and Asian colonies (1820–1970) and their respective European metropoles, it argues that while the introduction of ‘modern’... View Details
Keywords: Fiscal Modernization; Colonial Rule; Economic History; Sovereign Finance; History; Taxation; Africa; Asia
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
- 2022
- Conference Presentation
Organizational Competition: A Catalyst for Workplace Diversity and Desires for Uniqueness
By: Samantha N. Smith, Edward H. Chang, Erika L. Kirgios and Katherine L. Milkman
Competition is prevalent in organizations. For example, people often compete against their colleagues for status and recognition in the workplace or for opportunities for advancement. Workers also compete against others to get hired into organizations in the first... View Details
- 2022
- Working Paper
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh
As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between... View Details
- Article
Small States in an Age of Empires: The Duchy of Parma's Colonial Moment, 1750–1770
By: Arnaud Orain and Sophus A. Reinert
Often thought of as the "Athens of Italy" during the Enlightenment, and as a microcosm of the Italian peninsula and of the eighteenth century alike, the Duchy of Parma played a unique role in the culture and politics of the age. This essay focuses on its "colonial... View Details
- 2022
- Working Paper
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
- 2021
- Working Paper
Racial Inequality in Organizations: A Systems Psychodynamic Perspective
By: Sanaz Mobasseri, William Kahn and Robin Ely
This paper uses systems psychodynamic concepts to develop a theory about the persistence of racial inequality in U.S. companies, treating White men as the dominant group and Black people as an illustrative subordinate group. We theorize that this persistence is rooted... View Details
- 2021
- Working Paper
The Incidence of the Corporate Income Tax Is Irrelevant for Its (Benefit-Based) Justification
Robust support for corporate income taxation is a puzzle for standard tax theory because the tax’s incidence is uncertain and unreliable. We propose a resolution: if the corporate tax is seen as a benefit-based tax, its normative appeal depends on the correspondence... View Details
- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details
- Article
Counterfactual Explanations Can Be Manipulated
By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details
- December 1, 2021
- Article
Do You Know How Your Teams Get Work Done?
By: Rohan Narayana Murty, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna and Kartik Hosanagar
In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital... View Details
- December 2021
- Article
The Evolutionary Nature of Breakthrough Innovation: An Empirical Investigation of Firm Search Strategies
By: Dominika Kinga Randle and Gary P. Pisano
Breakthrough innovation has been an important topic of study for generations of scholars. Previous research in this domain has focused on exploring the way breakthroughs emerge from cumulative combination and recombination of prior technologies and knowledge components... View Details
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details