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- All HBS Web
(4,045)
- Faculty Publications (1,261)
- December 2020
- Article
The Parable of the Auctioneer: Complexity in Paul R. Milgrom's Discovering Prices
By: Scott Duke Kominers and Alexander Teytelboym
Designing marketplaces in complex settings requires both novel economic theory and real-world engineering, often drawing upon ideas from fields such as computer science and operations research. In Discovering Prices, Milgrom (2017) explains the theory and design... View Details
Kominers, Scott Duke, and Alexander Teytelboym. "The Parable of the Auctioneer: Complexity in Paul R. Milgrom's Discovering Prices." Journal of Economic Literature 58, no. 4 (December 2020): 1180–1196.
- November 2020
- Teaching Note
DayTwo: Going to Market with Gut Microbiome
By: Ayelet Israeli
Teaching Note for HBS Case No. 519-010. DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals.... View Details
Keywords: Start-up Growth; Startup; Positioning; Targeting; Go To Market Strategy; B2B Vs. B2C; B2B2C; Health & Wellness; AI; Machine Learning; Female Ceo; Female Protagonist; Science-based; Science And Technology Studies; Ecommerce; Applications; DTC; Direct To Consumer Marketing; US Health Care; "USA,"; Innovation; Pricing; Business Growth; Segmentation; Distribution Channels; Growth and Development Strategy; Business Startups; Science-Based Business; Health; Innovation and Invention; Marketing; Information Technology; Business Growth and Maturation; E-commerce; Applications and Software; Health Industry; Technology Industry; Insurance Industry; Information Technology Industry; Food and Beverage Industry; Israel; United States
- 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
Fetter, Trevor, and Kira Seiger. "Roll-Ups and Surprise Billing: Collisions at the Intersection of Private Equity and Patient Care." Harvard Business School Case 321-049, November 2020. (Revised April 2021.)
- November 2020
- Article
Disrupting the Disruptors or Enhancing Them? How Blockchain Re‐Shapes Two‐Sided Platforms
By: Daniel Trabucchi, Antonella Moretto, Tommaso Buganza and Alan MacCormack
The importance of platform‐based businesses in the modern economy is growing continuously and becoming increasingly relevant. Specifically, the deployment of digital technologies has enhanced the applicability of two‐sided business models, enabling companies to act not... View Details
Keywords: Blockchain; Two-Sided Platforms; Business Model; Innovation and Invention; Technological Innovation
Trabucchi, Daniel, Antonella Moretto, Tommaso Buganza, and Alan MacCormack. "Disrupting the Disruptors or Enhancing Them? How Blockchain Re‐Shapes Two‐Sided Platforms." Journal of Product Innovation Management 37, no. 6 (November 2020): 552–574.
- October 2020
- Article
Collusion in Markets with Syndication
By: John William Hatfield, Scott Duke Kominers, Richard Lowery and Jordan M. Barry
Markets for IPOs and debt issuances are syndicated, in the sense that a bidder who wins a contract may invite losing bidders to join a syndicate that together fulfills the contract. We show that in markets with syndication, standard intuitions from industrial... View Details
Keywords: Collusion; Antitrust; IPO Underwriting; Syndication; "Repeated Games"; Markets; Game Theory
Hatfield, John William, Scott Duke Kominers, Richard Lowery, and Jordan M. Barry. "Collusion in Markets with Syndication." Journal of Political Economy 128, no. 10 (October 2020).
- October 2020
- Article
Comparative Statics for Size-Dependent Discounts in Matching Markets
By: David Delacretaz, Scott Duke Kominers and Alexandru Nichifor
We prove a natural comparative static for many-to-many matching markets in which agents’ choice functions exhibit size-dependent discounts: reducing the extent to which some agent discounts additional partners leads to improved outcomes for the agents on the other side... View Details
Keywords: Size-dependent Discounts; Path-independence; Respect For Improvements; Market Design; Mathematical Methods
Delacretaz, David, Scott Duke Kominers, and Alexandru Nichifor. "Comparative Statics for Size-Dependent Discounts in Matching Markets." Journal of Mathematical Economics 90 (October 2020): 127–131.
- September 2020
- Case
True North: Pioneering Analytics, Algorithms and Artificial Intelligence
By: Karim R. Lakhani, Kairavi Dey and Hannah Mayer
True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented... View Details
Keywords: Artificial Intelligence; Information Technology; Management; Operations; Organizations; Leadership; Innovation and Invention; Business Model; AI and Machine Learning; Computer Industry; Technology Industry
Lakhani, Karim R., Kairavi Dey, and Hannah Mayer. "True North: Pioneering Analytics, Algorithms and Artificial Intelligence." Harvard Business School Case 621-042, September 2020.
- 2020
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers
Functional analysis as set forth in the last chapter decomposes a technical system into functional components that do things to advance the system’s purpose and the goals of its designers. Functional analysis in turn can be used to construct value structure maps... View Details
Keywords: Modularity; Value Structure Mapping; Value Capture; Information Technology; Organizations; Strategy; Value Creation
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers." Harvard Business School Working Paper, No. 21-040, September 2020.
- 2020
- Working Paper
(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial
By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker
While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between... View Details
Keywords: Behavioral Economics; Coronavirus; Discrimination; Homophily; Labor Market Mobility; Limited Attention; Resumes; Personal Characteristics; Prejudice and Bias
Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Subhradip Sarker. "(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial." Harvard Business School Working Paper, No. 21-038, September 2020.
- September 2020 (Revised March 2022)
- Case
JOANN: Joannalytics Inventory Allocation Tool
By: Kris Ferreira and Srikanth Jagabathula
Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and... View Details
Keywords: Analytics; Machine Learning; Optimization; Inventory Management; Mathematical Methods; Decision Making; Operations; Supply Chain Management; Resource Allocation; Distribution; Technology Adoption; Applications and Software; Change Management; Fashion Industry; Consumer Products Industry; Retail Industry; United States; Ohio
Ferreira, Kris, and Srikanth Jagabathula. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Case 621-055, September 2020. (Revised March 2022.)
- September 2020
- Article
Creativity, Artificial Intelligence, and a World of Surprises
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation... View Details
Keywords: Artificial Intelligence; AI Creativity; Computer Science; Organizational Behavior; Psychology; Creativity; Technological Innovation; AI and Machine Learning
Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.
- 2020
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 3 Transaction Free Zones
In Chapter 2 we saw that the most economical locations for transactions in a task network are the so-called thin crossing points—places where transfers are easy to define, count and pay for. However, in many places in the task network, transfers of material, energy,... View Details
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 3 Transaction Free Zones." Harvard Business School Working Paper, No. 21-031, August 2020.
- 2020
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 4 The Mirroring Hypothesis: Linkages Inside and Across Transaction Free Zones
A technology is a specific way to achieve a material goal. It describes a feasible path—a recipe—by which a group of people can arrive at a goal that none could achieve individually. Technical recipes thus require linkages between and among the various contributors to... View Details
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 4 The Mirroring Hypothesis: Linkages Inside and Across Transaction Free Zones." Harvard Business School Working Paper, No. 21-032, August 2020.
- 2020
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 5 Ecosystems and Complementarities
The purpose of this chapter is to introduce two new building blocks to the theory of how technology shapes organizations. The first is a new layer of organization structure: a business “ecosystem.” The second is the economic concept of “complementarity.” Ecosystems are... View Details
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 5 Ecosystems and Complementarities." Harvard Business School Working Paper, No. 21-033, August 2020.
- Article
Foreign Competition and Domestic Innovation: Evidence from U.S. Patents
By: David Autor, David Dorn, Gordon H. Hanson, Gary P. Pisano and Pian Shu
Manufacturing accounts for more than three-quarters of U.S. corporate patents. The competitive shock to this sector emanating from China's economic ascent could in theory either augment or stifle U.S. innovation. Using three decades of U.S. patents matched to corporate... View Details
Autor, David, David Dorn, Gordon H. Hanson, Gary P. Pisano, and Pian Shu. "Foreign Competition and Domestic Innovation: Evidence from U.S. Patents." American Economic Review: Insights 2, no. 3 (September 2020): 357–374.
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- 2023
- Working Paper
When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program
By: Alexander Bartik, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton and Adi Sunderam
What happens when public resources are allocated by private companies whose objectives may be
imperfectly aligned with policy goals? We study this question in the context of the Paycheck
Protection Program (PPP), which relied on private banks to disburse aid to small... View Details
Keywords: Paycheck Protection Program; Targeting; Impact; Entrepreneurship; Health Pandemics; Small Business; Financing and Loans; Outcome or Result; United States
Bartik, Alexander, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton, and Adi Sunderam. "When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program." Harvard Business School Working Paper, No. 21-021, August 2020. (Revised July 2023. Accepted at The Review of Economics and Statistics.)
- 2020
- Book
Dealmaking: The New Strategy of Negotiauctions
Based on broad research and detailed case studies, Dealmaking provides the jargon-free, empirically sound advice you need to close the deal.
Leading dealmaking scholar Guhan Subramanian specializes in understanding how deals work. As a Harvard Business... View Details
Leading dealmaking scholar Guhan Subramanian specializes in understanding how deals work. As a Harvard Business... View Details
Subramanian, Guhan. Dealmaking: The New Strategy of Negotiauctions. 2nd edition. New York: W. W. Norton & Company, 2020.
- August 2020 (Revised February 2021)
- Case
Luckin Coffee (A): Caffeine-fueled Growth?
By: Ramon Casadesus-Masanell and Karen Elterman
This case describes the founding of Chinese coffee chain Luckin Coffee in 2017 and its path to surpassing Starbucks as the largest coffee chain in China (by number of stores) in 2019. Unlike Starbucks stores, which were designed to be welcoming “third places” for... View Details
Keywords: Business Model; Business Earnings; Cost; Cost Management; Financial Statements; Financial Condition; Financial Management; Stocks; Profit; Revenue; Price; Food; Business History; Employment; Brands and Branding; Product Positioning; Marketing Strategy; Business Strategy; Expansion; Competitive Strategy; Food and Beverage Industry; Technology Industry; Asia; China
Casadesus-Masanell, Ramon, and Karen Elterman. "Luckin Coffee (A): Caffeine-fueled Growth?" Harvard Business School Case 721-370, August 2020. (Revised February 2021.)