Publications
Publications
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- All HBS Web
(2,449)
- Faculty Publications (347)
- Article
Variety of Innovation in Global Value Chains
By: Giulio Buciuni and Gary P. Pisano
This article analyzes how the geography and organization of pre- and production stages in Global Value Chains (GVC) contribute to lead firms' innovation development. A novel approach in GVC studies is introduced based on transaction cost economics (TCE) and the... View Details
- 2021
- Article
Fair Algorithms for Infinite and Contextual Bandits
By: Matthew Joseph, Michael J Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
We study fairness in linear bandit problems. Starting from the notion of meritocratic fairness introduced in Joseph et al. [2016], we carry out a more refined analysis of a more general problem, achieving better performance guarantees with fewer modelling assumptions... View Details
- 2021
- Working Paper
Real Credit Cycles
By: Pedro Bordalo, Nicola Gennaioli, Andrei Shleifer and Stephen J. Terry
We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of U.S.... View Details
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption... View Details
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such... View Details
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
- 2023
- Working Paper
The Market for Healthcare in Low Income Countries
By: Abhijit Banerjee, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam and Aakash Mohpal
Patient trust is an important driver of the demand for healthcare. But it may also impact supply:
doctors who realize that patients may not trust them may adjust their behavior in response. We
assemble a large dataset that assesses clinical performance using... View Details
- 2020
- Working Paper
Party-State Capitalism in China
By: Margaret Pearson, Meg Rithmire and Kellee Tsai
The “state capitalism” model, in which the state retains a dominant role as owner or investor-shareholder amidst the presence of markets and private firms, has received increasing attention, with China cited as the main exemplar. Yet as models evolve, so has China’s... View Details
- November 2020 (Revised September 2021)
- Case
HP Instant Ink: (Self) Disrupting the Consumer Printing Market
By: Elie Ofek, Marco Bertini, Oded Koenigsberg and George Gonzalez
Seeking to disrupt the consumer printing market (before being disrupted by others), and in response to customer pain points, in 2013 HP Inc. launched an ink replenishment service called Instant Ink, where customers pay a monthly subscription fee based on the number of... View Details
- November 2020 (Revised April 2021)
- Case
Roll-Ups and Surprise Billing: Collisions at the Intersection of Private Equity and Patient Care
By: Trevor Fetter and Kira Seiger
This case describes the increasing investment by private equity (PE) firms in patient care and other healthcare services. The case focuses on investments in physician staffing firms and roll-up strategy investments in physician practice management (PPM). Included in... View Details
Keywords: Business Ventures; Acquisition; Mergers and Acquisitions; Business Model; Change; Disruption; Fluctuation; Trends; Customers; Customer Value and Value Chain; Ethics; Fairness; Finance; Equity; Insurance; Private Equity; Geography; Geographic Scope; Health; Health Care and Treatment; Markets; Demand and Consumers; Supply and Industry; Industry Structures; Ownership; Ownership Type; Private Ownership; Relationships; Agency Theory; Business and Community Relations; Business and Shareholder Relations; Business and Stakeholder Relations; Networks; Strategy; Competition; Consolidation; Expansion; Integration; Horizontal Integration; Vertical Integration; Value; Value Creation; Health Industry; Insurance Industry; United States
- 2020
- Working Paper
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjami Lockwood, Afras Y. 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
- November–December 2020
- Article
Rethinking the On-Demand Workforce
By: Joseph B. Fuller, Manjari Raman, Allison Bailey and Nithya Vaduganathan
As companies struggle with chronic skills shortages and changing labor demographics, a new generation of talent platforms, offering on-demand access to highly trained workers, has begun to help. These platforms include marketplaces for premium expertise (such as Toptal... View Details
- November 2020
- Article
Taxation in Matching Markets
By: Arnaud Dupuy, Alfred Galichon, Sonia Jaffe and Scott Duke Kominers
We analyze the effects of taxation in two-sided matching markets, i.e., markets in which all agents have heterogeneous preferences over potential partners. In matching markets, taxes can generate inefficiency on the allocative margin by changing who is matched to whom,... View Details
- August 2020
- Article
Macroeconomic Drivers of Bond and Equity Risks
By: John Y. Campbell, Carolin E. Pflueger and Luis M. Viceira
Our new model of consumption-based habit generates time-varying risk premia on bonds and stocks from loglinear, homoskedastic macroeconomic dynamics. Consumers' first-order condition for the real risk-free bond generates an exactly loglinear consumption Euler equation,... View Details
- July 2020 (Revised September 2020)
- Case
Property Finder's Strategy for Online Classifieds in the MENA Region
By: Krishna G. Palepu, Gamze Yucaoglu and Fares Khrais
The case opens in 2020 as Michael Lahyani, founder and CEO of Property Finder, Dubai’s leading online real estate classifieds portal, contemplates the company’s five-year growth strategy.
Since its founding in 2005 in the United Arab Emirates (UAE), Property... View Details
- Article
Oracle Efficient Private Non-Convex Optimization
By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
- June 2020
- Case
What IKEA Do We Want?
By: Juan Alcácer, Cynthia A. Montgomery, Emilie Billaud and Vincent Dessain
In 2018, Swedish furniture maker IKEA was undergoing a significant transformation. Challenged by the rise of online shopping and changing consumer behavior, and mourning the death of its founder, the Company's top executives knew they had to step out of their comfort... View Details
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
- June 2020
- Article
Frenemies in Platform Markets: Heterogeneous Profit Foci as Drivers of Compatibility Decisions
By: Ron Adner, Jianqing Chen and Feng Zhu
We study compatibility decisions of two competing platform owners that generate profits through both hardware sales and royalties from content sales. We consider a game-theoretic model in which two platforms offer different standalone utilities to users. We find that... View Details