Publications
Publications
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- All HBS Web
(2,373)
- Faculty Publications (572)
- June 2021
- Article
Making Marketplaces Safe: Dominant Individual Rationality and Applications to Market Design
By: Benjamin N. Roth and Ran I. Shorrer
Often market designers cannot force agents to join a marketplace rather than using pre-existing institutions. We propose a new desideratum for marketplace design that guarantees the safety of participation: Dominant Individual Rationality (DIR). A marketplace is DIR if... View Details
- May 2021 (Revised May 2022)
- Supplement
Odebrecht's 'Transformation Journey' (B)
By: Lynn S. Paine, Ruth Costas and Pedro Levindo
The case describes the changes in Odebrecht’s board of directors while the company had to file for court-supervised reorganization and cope with an ongoing feud within its founding family, and the new challenges that the Group’s leadership has to face. The changes in... View Details
- May 2021
- Teaching Plan
Gera Developments: Leadership at a Crossroads
By: Christina R. Wing and John Masko
Teaching Plan for HBS Case No. 621-018. For decades, Gera Developments (Gera) was a boutique family-owned real estate development firm in Pune, India. But since 2000, managing director Rohit Gera had turned the company into a dynamic innovator in housing solutions for... View Details
Keywords: Buildings and Facilities; Business Growth and Maturation; Construction; Geographic Location; Global Strategy; Globalized Firms and Management; Housing; Leadership Style; Management Succession; Organizational Change and Adaptation; Organizational Culture; Family Ownership; Family and Family Relationships; Urban Development; Customization and Personalization; Real Estate Industry; Maharashtra; India; San Francisco
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- May 2021
- Article
Stability, Strategy-Proofness, and Cumulative Offer Mechanisms
By: John William Hatfield, Scott Duke Kominers and Alexander Westkamp
We consider the setting of many-to-one matching with contracts, where firms may demand multiple contracts, but each worker desires at most one contract. We introduce three novel conditions—observable substitutability, observable size monotonicity, and... View Details
- April–May 2021
- Article
The Influence of Loan Officers on Loan Contract Design and Performance
By: Robert Bushman, Janet Gao, Xiumin Martin and Joseph Pacelli
We investigate the extent to which loan officers generate independent, individual effects on the design and performance of syndicated loans. We construct a large database containing the identities of loan officers involved in structuring syndicated loan deals, allowing... View Details
- March 2021
- Technical Note
Competitive Strategy in International Construction
By: John D. Macomber and Emrah Ergelen
Construction of buildings and infrastructure is one of the largest industries in the world in terms of volume. It is also one of the most physically risky, financially uncertain, and politically impacted. The industry is highly fragmented since there are few economies... View Details
- 2021
- Working Paper
First Law of Motion: Influencer Video Advertising on TikTok
By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging... View Details
- March 2021
- Article
International Trade and Social Connectedness
By: Michael Bailey, Abhinav Gupta, Sebastian Hillenbrand, Theresa Kuchler, Robert J. Richmond and Johannes Stroebel
We use de-identified data from Facebook to construct a new and publicly available measure of the pairwise social connectedness between 170 countries and 332 European regions. We find that two countries trade more when they are more socially connected, especially for... View Details
- 2021
- Article
Leisure Beliefs and the Subjective Well-being of Nations
By: Lucia Macchia and A.V. Whillans
Here, we construct a data set of 79 countries (N = 220,000) and explore whether differences in the prioritization of time (leisure) vs. money (work) explain cross-country differences in happiness. Consistent with our predictions, countries whose citizens value leisure... View Details
Keywords: Leisure; Work; Subjective Well-being; Public Policy; Employment; Happiness; Governance; Policy
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- January 2021
- Article
Commuting and Innovation: Are Closer Inventors More Productive?
By: Hongyu Xiao, Andy Wu and Jaeho Kim
We estimate the causal effect of workplace–home commuting distance on inventor productivity. We construct a novel panel of U.S. inventors with precisely measured workplace–home distances and inventor-level productivity. Our identification strategy exploits firm office... View Details
- Article
Reflections: Toward a Normative and Actionable Theory of Planned Organizational Change and Development
By: Michael Beer
A normative and actionable theory of planned organizational change and development is proposed based on fifty years of engagement by the author as a scholar-consultant. Five principles are central features of the theory and practice proposed: 1) Organizations are... 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
- December 2020 (Revised December 2021)
- Case
Komatsu and Smart Construction
By: Rajiv Lal, David J. Collis and Akiko Saito
Komatsu, Japan's leading construction equipment manufacturer, is considering investing in a digital platform "Smart Construction" that will digitise the entire work process on a construction site, allowing for substantial reductions in cost and time while improving... View Details
- December 2020
- Supplement
Komatsu Smart Construction: Launch Video
By: Rajiv Lal, David J. Collis and Akiko Saito
Short video of the concept of "Smart Construction" that was shown at the launch of the business by Komatsu. Illustrates what the automated construction site might look like in the future. View Details
- December 2020
- Supplement
Komatsu: Video of Future Building Site
By: Rajiv Lal, David J. Collis and Akiko Saito
Short video that illustrates how an automated construction site would operate View Details
- December 2020
- Case
Château Margaux: Serving Up the Third Wine
By: Elie Ofek
In fall 2019, Corinne Mentzelopoulos, owner of the famous first-growth Château Margaux, is pondering a series of decisions with respect to the chateau's third wine. Margaux du Château Marguax, as this wine was called, was launched in 2013 with a particular goal in mind... 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
Credit and Punishment: Are Corporate Bankers Disciplined for Risk-Taking?
By: Janet Gao, Kristoph Kleiner and Joseph Pacelli
We examine whether bankers face disciplining consequences for structuring poorly performing corporate loans. We construct a novel data set containing the employment histories and loan portfolios of a large sample of corporate bankers and find that corporate credit... View Details