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-
All HBS Web
(3,962)
- People (2)
- News (528)
- Research (2,733)
- Events (42)
- Multimedia (21)
- Faculty Publications (1,935)
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- 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....
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Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- May 2000
- Article
Maxmin Expected Utility over Savage Acts with a Set of Priors
By: Ramon Casadesus-Masanell, Peter Klibanoff and Emre Ozdenoren
This paper provides an axiomatic foundation for a maxmin expected utility over a set of priors (MMEU) decision rule in an environment where the elements of choice are Savage acts. This characterization complements the original axiomatizations of MMEU developed in a...
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Keywords:
Uncertainty Aversion;
Ambiguity;
Expected Utility;
Set Of Priors;
Knightian Uncertainty;
Decision Making;
Game Theory;
Risk and Uncertainty;
Mathematical Methods
Casadesus-Masanell, Ramon, Peter Klibanoff, and Emre Ozdenoren. "Maxmin Expected Utility over Savage Acts with a Set of Priors." Journal of Economic Theory 92, no. 1 (May 2000): 35–65.
- spring 2006
- Article
All's Fair in Love, War, & Bankruptcy: Corporate Governance Implications of CEO Turnover in Financial Distress
Prior discussions of management turnover during financial distress have examined bankrupt and non-bankrupt firms as distinct groupings with little overlap. Separately investigating rates of turnover in-bankruptcy and out-of-bankruptcy, without a direct comparison...
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Keywords:
CEO Turnover;
Bankruptcy;
Restructuring;
Shadow Of Bankruptcy;
Borrowing and Debt;
Credit;
Financing and Loans;
Corporate Governance;
Finance;
Theory;
Markets;
United States
Bernstein, Ethan S. "All's Fair in Love, War, & Bankruptcy: Corporate Governance Implications of CEO Turnover in Financial Distress." Stanford Journal of Law, Business & Finance 11, no. 2 (spring 2006): 299–325.
- 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...
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Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government...
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Keywords:
Economics Of AI;
Value Of Data;
Perishability;
Time Dependency;
Flow Of Data;
Data Strategy;
Analytics and Data Science;
Value;
Strategy;
Competitive Advantage
Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
- December 2020
- Case
VIA Science (A)
By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman
Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the...
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Keywords:
Data Analytics;
Machine Learning;
Artificial Intelligence;
Strategy;
Business Startups;
Markets;
AI and Machine Learning;
Telecommunications Industry;
Utilities Industry;
United States;
Japan
Alcácer, Juan, Rembrand Koning, Annelena Lobb, and Kerry Herman. "VIA Science (A)." Harvard Business School Case 721-367, December 2020.
- February 2018
- Article
Retention Futility: Targeting High-Risk Customers Might Be Ineffective.
By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models...
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Keywords:
Retention/churn;
Proactive Churn Management;
Field Experiments;
Heterogeneous Treatment Effect;
Machine Learning;
Customer Relationship Management;
Risk Management
Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might Be Ineffective." Journal of Marketing Research (JMR) 55, no. 1 (February 2018): 80–98.
- 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...
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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.)
- Article
Algorithms Need Managers, Too
By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan
Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on...
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Keywords:
Machine Learning;
Algorithms;
Predictive Analytics;
Management;
Big Data;
Analytics and Data Science
Luca, Michael, Jon Kleinberg, and Sendhil Mullainathan. "Algorithms Need Managers, Too." Harvard Business Review 94, nos. 1/2 (January–February 2016): 96–101.
- May 2016 (Revised April 2018)
- Case
Building the Digital Manufacturing Enterprise of the Future at Siemens
By: Willy Shih
This case describes the motivation for and the development of Siemens' digital manufacturing enterprise vision, which became the foundation for its implementation of Industrie 4.0. While the effort started with a purely defensive move by Anton Huber, head of the...
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Keywords:
Big Data;
Internet Of Things;
Internet Of Everything;
Industrie 4.0;
Digital Factory;
Digital Enterprise;
Digital Manufacturing;
Manufacturing;
Production Management;
Production Planning;
Computer Software;
Germany;
German Manufacturing;
Machinery and Machining;
Information Technology;
Digital Platforms;
Technological Innovation;
Production;
Supply Chain;
Applications and Software;
Information Infrastructure;
Internet and the Web;
Analytics and Data Science;
Manufacturing Industry;
Germany
Shih, Willy. "Building the Digital Manufacturing Enterprise of the Future at Siemens." Harvard Business School Case 616-060, May 2016. (Revised April 2018.)
- December 2018 (Revised March 2021)
- Background Note
Modern Automation (A): Artificial Intelligence
By: William R. Kerr and James Palano
This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of...
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Keywords:
Artificial Intelligence;
Digitization;
Connectivity;
Computing;
Future Of Work;
Automation;
AI and Machine Learning
Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)
- 16 Oct 2019
- Research & Ideas
Read Our Most Popular Stories of the Quarter
What stories were readers like you diving into this summer on HBS Working Knowledge? Your interests varied dramatically, everything from how researchers use machine learning technology to predict CEO performance to the power View Details
Keywords:
by Sean Silverthorne
- July 2013
- Technical Note
Competition Simulator Exercise: Questions
In the Competition Simulator Exercise, students explore through trial and error some important economic foundations of competitive strategy and managerial economics. In particular, the simulator lets students explore horizontal differentiation with and without price...
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Keywords:
Economics Of Strategy;
Economics Of Competition;
Competition;
Economics;
Game Theory;
Competitive Strategy;
Marketing Strategy
Van den Steen, Eric. "Competition Simulator Exercise: Questions." Harvard Business School Technical Note 714-406, July 2013.
- January 2015
- Article
Are Incentives Without Expertise Sufficient? Evidence from Fortune 500 Firms
By: Emilie R. Feldman and Cynthia A. Montgomery
Agency theory predicts that incentives will align agents' interests with those of principals. However, the resource-based view suggests that to be effective, the incentive to deliver must be paired with the ability to deliver. Using Fortune 500 boards as an...
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Keywords:
Board Of Directors;
Corporate Governance;
Incentives;
Expertise;
Motivation and Incentives;
Governing and Advisory Boards;
Experience and Expertise;
Agency Theory
Feldman, Emilie R., and Cynthia A. Montgomery. "Are Incentives Without Expertise Sufficient? Evidence from Fortune 500 Firms." Strategic Management Journal 36, no. 1 (January 2015): 113–122.
- July 2017 (Revised June 2019)
- Case
Joel L. Dawson: Eta Devices
By: Steven Rogers and Derek G. Abrams
After a successful career in research and academia, Joel Dawson decided to pursue entrepreneurship in the semiconductor industry. As one of the growing number of African-Americans in the technology field, Joel Dawson co-founded Eta Devices in 2010 based on new...
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Keywords:
Joel Dawson;
Eta Devices;
Semiconductor Entrepreneurship;
Decision Theory;
Decision Making;
Finance;
Engineering;
Entrepreneurship;
Technological Innovation;
Semiconductor Industry;
Boston
Rogers, Steven, and Derek G. Abrams. "Joel L. Dawson: Eta Devices." Harvard Business School Case 318-009, July 2017. (Revised June 2019.)
- October 2019 (Revised March 2021)
- Background Note
Modern Automation (B): Robotics
By: William R. Kerr and James Palano
Driven largely by advances in perception and situational awareness, robots in the 2010s were gaining functionality that allowed them to be applied to fundamentally new types of work. The expanding range of new tasks that could be completed by machines had significant...
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Keywords:
Robotics;
Artificial Intelligence;
Future Of Work;
Technology Commercialization;
Information Technology;
Commercialization;
Employment;
AI and Machine Learning
Kerr, William R., and James Palano. "Modern Automation (B): Robotics." Harvard Business School Background Note 820-069, October 2019. (Revised March 2021.)
- Research Summary
Understanding the Limitations of Model Explanations
The goal of this research is to understand how adversaries can exploit various algorithms used for explaining complex machine learning models with an intention to mislead end users. For instance, can adversaries trick these algorithms into masking their racial and...
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- 2021
- Working Paper
Invisible Primes: Fintech Lending with Alternative Data
By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to...
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Keywords:
Fintech Lending;
Alternative Data;
Machine Learning;
Algorithm Bias;
Finance;
Information Technology;
Financing and Loans;
Analytics and Data Science;
Credit
Di Maggio, Marco, Dimuthu Ratnadiwakara, and Don Carmichael. "Invisible Primes: Fintech Lending with Alternative Data." Harvard Business School Working Paper, No. 22-024, October 2021.
- December 1998 (Revised July 2016)
- Background Note
Tools of Cooperation, The
By: Clayton M. Christensen, Howard H. Stevenson and Jeremy Dann
Presents a theory about the tools a manager can use to get people to agree on a coordinated course of action and effect change in his or her organization. The extent to which people in the organization agree on the way the world works, and agree on what they want,...
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Keywords:
Change Management;
Framework;
Managerial Roles;
Organizations;
Performance Effectiveness;
Cooperation
Christensen, Clayton M., Howard H. Stevenson, and Jeremy Dann. "Tools of Cooperation, The." Harvard Business School Background Note 399-080, December 1998. (Revised July 2016.)
- 2010
- Chapter
The Shape of Things to Come: Institutions, Entrepreneurs, and the Case of Hedge Funds
By: Pamela Tolbert and Shon R. Hiatt
Foundational work on institutional theory as a framework for studying organizations underscored its relevance to analyses of entrepreneurship, but entrepreneurship research has often ignored the insights provided by this theoretic approach. In this chapter, we...
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Tolbert, Pamela, and Shon R. Hiatt. "The Shape of Things to Come: Institutions, Entrepreneurs, and the Case of Hedge Funds." In Institutions and Entrepreneurship. Vol. 21, edited by Wesley Sine and Robert David, 157–182. Research in the Sociology of Work. Bingley, England: Emerald Group Publishing, 2010.