Publications
Publications
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- All HBS Web
(2,149)
- Faculty Publications (254)
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
- 2022
- Working Paper
Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic
By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Michael Becher, Sylvain Brouard and Martial Foucault
Millions of people refuse COVID-19 vaccination. Using original data from two surveys in nine OECD countries, we analyze the determinants of anti-vax intentions in December 2020 and show that half of the anti-vax individuals were vaccinated by summer 2021. Vaccinations... View Details
- January 2022
- Article
Determinants of Gender Differences in Change in Pay among Job-Switching Executives
By: Boris Groysberg, Paul M. Healy and Eric Lin
The authors investigate what determines differences in change in pay between men and women executives who move to new employers. Using proprietary data of 2,034 executive placements from a global search firm, the authors observe narrower pay differences between men and... View Details
- January 2022
- Article
Investing Outside the Box: Evidence from Alternative Vehicles in Private Equity
By: Josh Lerner, Jason Mao, Antoinette Schoar and Nan R. Zhang
This paper uses previously unexplored custodial data to examine the use of alternative investment vehicles in private equity (PE) over four decades. We document a steep increase in the capital directed to alternative vehicles, with these vehicles approaching a 40%... 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 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
- October 2021 (Revised December 2021)
- Case
Customer-Centric Design with Artificial Intelligence: Commonwealth Bank
By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo
As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer... View Details
- October 2021 (Revised February 2022)
- Case
Hospital 57357: Aligning Performance Towards a Vision of a Cancer-Free Childhood
By: Susanna Gallani and Youssef Abdel Aal
The case follows the Children Cancer Hospital in Egypt, also known as Hospital 57357, as it goes through the roll-out of a new performance management system, which Dr. Sherif Abouel Naga, founder and CEO of the hospital, had championed. This was a critical juncture as... View Details
- 2021
- Working Paper
How to Fix ESG Reporting
By: Robert S. Kaplan and Karthik Ramanna
Investors, advocacy groups, academics, and the 200 CEOs of the US Business Roundtable have asked corporations to take on an added purpose beyond a narrow pursuit of shareholder value. In response, many companies now issue ESG (Environmental, Societal, and Governance)... View Details
Keywords: ESG Reporting; Sustainability; Corporate Purpose; Greenhouse Gas; Activity-Based Costing; Environmental Sustainability; Environmental Management; Corporate Social Responsibility and Impact; Measurement and Metrics; Goals and Objectives; Agreements and Arrangements; Corporate Accountability
- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
- 2021
- Working Paper
The Value of Data and Its Impact on Competition
By: Marco Iansiti
Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to... View Details
- 2021
- Article
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjamin B. Lockwood, Afras Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these... View Details
- 2021
- Working Paper
Regulatory Approval and Expanded Market Size
By: Benjamin Berger, Amitabh Chandra and Craig Garthwaite
Regulatory review of new medicines is often viewed as a hindrance to innovation by increasing the hurdle to bring products to market. However, a more complete accounting of regulation must also account for its potential market expanding effects through quality... View Details
- 2023
- Working Paper
Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation
By: Sam (Ruiqing) Cao and Marco Iansiti
The increasing availability of data can afford dynamic competitive advantages among data-intensive
corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks.
We analyze the role of two technological features of data... View Details
- 2021
- Working Paper
Property Rights and Urban Form
By: Simeon Djankov, Edward L. Glaeser, Valeria Perotti and Andrei Shleifer
How do the different elements in the standard bundle of property rights, including those of possession and transfer, influence the shape of cities? This paper incorporates insecure property rights into a standard model of urban land prices and density, and makes... View Details
- April 2021 (Revised June 2021)
- Case
IBM: Design Thinking
By: Srikant M. Datar, Amram Migdal and Paul Hamilton
This case describes the 2012-2020 effort at IBM to implement design thinking throughout the company and hire thousands of designers to serve on every product team alongside technical engineers and developers and product managers. IBM’s design transformation is told... View Details
Keywords: Business Ventures; Business Divisions; Business Units; Business Organization; Change; Change Management; Transformation; Competency and Skills; Talent and Talent Management; Design; Human Resources; Recruitment; Selection and Staffing; Innovation and Invention; Collaborative Innovation and Invention; Innovation and Management; Innovation Strategy; Jobs and Positions; Job Design and Levels; Leading Change; Management; Business or Company Management; Goals and Objectives; Management Practices and Processes; Operations; Product; Product Design; Product Development; Organizations; Business Processes; Organizational Change and Adaptation; Organizational Design; Organizational Structure; Strategy; Adaptation; Adoption; Technological Innovation; Information Infrastructure; Information Technology; Technology Industry; Information Technology Industry; United States
- 2021
- Article
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details