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Show Results For
- All HBS Web
(2,324)
- People (7)
- News (530)
- Research (1,464)
- Events (29)
- Multimedia (1)
- Faculty Publications (596)
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- June 2023 (Revised November 2023)
- Case
Sober Sidekick
By: Jeffrey J. Bussgang and Kumba Sennaar
Case on the nascent business model of a mobile health IT startup. In particular, should they pivot away from their successful lead generation business model to charging health plans. View Details
Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; Health Industry; United States
Bussgang, Jeffrey J., and Kumba Sennaar. "Sober Sidekick." Harvard Business School Case 823-066, June 2023. (Revised November 2023.)
- 18 Nov 2016
- Conference Presentation
Rawlsian Fairness for Machine Learning
By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details
Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), November 18, 2016.
- 2022
- Working Paper
Pricing Power in Advertising Markets: Theory and Evidence
By: Matthew Gentzkow, Jesse M. Shapiro, Frank Yang and Ali Yurukoglu
Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize and extend this theoretical result and test it using data from television and social media... View Details
Gentzkow, Matthew, Jesse M. Shapiro, Frank Yang, and Ali Yurukoglu. "Pricing Power in Advertising Markets: Theory and Evidence." NBER Working Paper Series, No. 30278, July 2022.
- TeachingInterests
Interpretability and Explainability in Machine Learning
As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details
- June 2012
- Case
Innovating at AT&T: Partnering to Lead the Broadband Revolution
By: Lynda M. Applegate, Phillip Andrews and Kerry Herman
In 2010, the U.S. retail market value for next-generation non-handset wirelessly-enabled devices was just over $1 billion. By 2011 it had grown 1,141% to $13.2 billion and was forecast to reach $24.7 billion in 2015. At the same time, user demand for data was surging... View Details
Keywords: Innovation ＆ Entrepreneurship; Team Leadership; Emerging Technologies; Business Models; Business To Business; Corporate Vision; Growth Strategy; Corporate Culture; Innovation and Invention; Corporate Entrepreneurship; Partners and Partnerships; Leadership; Mobile and Wireless Technology; Growth and Development Strategy; Globalized Firms and Management; Business Model; Technology Industry; United States
Applegate, Lynda M., Phillip Andrews, and Kerry Herman. "Innovating at AT&T: Partnering to Lead the Broadband Revolution." Harvard Business School Case 812-124, June 2012.
- 19 Oct 2021
- HBS Seminar
Cynthia Rudin, Duke University
- November 2024 (Revised January 2025)
- Case
MiDAS: Automating Unemployment Benefits
By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Decision Making; Automation; Benefits; Compensation; Cost Reduction; Digital Transformation; Employment; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Information Technology; Insurance; United States
- 2024
- Working Paper
Fiscal Policy under Convex Supply Curves
By: Shlok Goyal, Avi Lipton and Borui Niklas Zhu
Recent empirical evidence suggests that supply curves are convex. Supply curve convexity is at odds with conventional Phillips curves, which rely on an infinitely elastic underlying supply curve. This paper explores the effect of supply curve convexity on the... View Details
Keywords: Fiscal Stimulus; Fiscal Policy; Inflation; Inflation and Deflation; Macroeconomics; Policy; Mathematical Methods; United States
Goyal, Shlok, Avi Lipton, and Borui Niklas Zhu. "Fiscal Policy under Convex Supply Curves." Working Paper, August 2024.
- Sep 2007 - 2007
- Conference Presentation
Antecedents of Boundary Spanning in Cross-functional NPD Teams
By: James R. Dillon, Shikhar Sarin and Amy C. Edmondson
Boundary spanning has been shown in prior research to enhance innovativeness and performance of product development teams. In this study, we examine team conditions that foster boundary spanning behavior. We analyze survey data from 207 members of 54 cross-functional... View Details
- March 2008 (Revised April 2008)
- Case
Sony PlayStation 3: Game Over?
By: Elie Ofek
Outlines the challenges faced by Sony with the launch of its PlayStation 3. Information on the 2006 and 2007 holiday seasons and the success of rival consoles is outlined. In addition, the case allows examining the costs and revenues associated with a business model... View Details
Keywords: Business Model; Games, Gaming, and Gambling; Cost; Revenue; Product Launch; Sales; Competition; Hardware; Entertainment and Recreation Industry
Ofek, Elie. "Sony PlayStation 3: Game Over?" Harvard Business School Case 508-076, March 2008. (Revised April 2008.)
- May 2016
- Article
Matching with Slot-Specific Priorities: Theory
By: Scott Duke Kominers and Tayfun Sönmez
We introduce a two-sided, many-to-one matching with contracts model in which agents with unit demand match to branches that may have multiple slots available to accept contracts. Each slot has its own linear priority order over contracts; a branch chooses contracts by... View Details
Keywords: Matching With Contracts; Stability; Strategy-proofness; School Choice; Affirmative Action; Airline Seat Upgrades; Contracts; Market Design; Marketplace Matching; Balance and Stability
Kominers, Scott Duke, and Tayfun Sönmez. "Matching with Slot-Specific Priorities: Theory." Theoretical Economics 11, no. 2 (May 2016): 683–710.
- 2016
- Working Paper
Controlling Versus Enabling — Online Appendix
By: Andrei Hagiu and Julian Wright
Section 1 of this online appendix contains the proof of the technical Lemma (Lemma 2) used in the Proof of Lemma 1 in the main paper, which states that Ω* (.) is continuous and differentiable at R*. Section 2 provides the linear example with cost differences between... View Details
Hagiu, Andrei, and Julian Wright. "Controlling Versus Enabling — Online Appendix." Harvard Business School Working Paper, No. 16-004, July 2015. (Revised July 2016.)
- 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
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 2016
- Case
The Inexorable Rise of Walmart? 1988—2016
By: John R. Wells and Gabriel Ellsworth
In October 2015, Walmart surprised investors by announcing that it expected flat sales growth for 2015 and growth of only 3% to 4% over the coming three years. Profits would also fall due to significant investments in people and technology. The company’s stock price... View Details
Keywords: Asda; Costco; David Glass; Convenience Stores; Discount Retailing; Dollar Stores; Doug McMillon; E-commerce; Online Retail; General Merchandise; Grocery; Lee Scott; Mike Duke; Multichannel Retailing; Omnichannel; Neighborhood Market; Sam Walton; Sam's Club; Store Formats; Supercenter; Supermarket; Warehouse Clubs; Merchandising; Walmart; Wal-Mart; Globalized Firms and Management; Competitive Strategy; Corporate Strategy; Growth and Development Strategy; Business Units; Business Divisions; Business Growth and Maturation; Business Model; Business Organization; For-Profit Firms; Film Entertainment; Television Entertainment; Banks and Banking; Price; Profit; Revenue; Food; Global Range; Cross-Cultural and Cross-Border Issues; Global Strategy; Business History; Compensation and Benefits; Employees; Human Capital; Labor Unions; Wages; Business or Company Management; Goals and Objectives; Management Succession; Brands and Branding; Product Positioning; Distribution; Supply Chain; Supply Chain Management; Public Ownership; Problems and Challenges; Labor and Management Relations; Strategy; Adaptation; Business Strategy; Competition; Competitive Advantage; Diversification; Expansion; Segmentation; Information Technology; Internet; Mobile Technology; Online Technology; Web; Web Sites; Retail Industry; Food and Beverage Industry; Distribution Industry; Banking Industry; United States; Arkansas; Bentonville
Wells, John R., and Gabriel Ellsworth. "The Inexorable Rise of Walmart? 1988—2016." Harvard Business School Case 716-426, May 2016.
- February 2024
- Article
Pricing Power in Advertising Markets: Theory and Evidence
By: Matthew Gentzkow, Jesse M. Shapiro, Frank Yang and Ali Yurukoglu
Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize, extend, and test this prediction. We find that television outlets whose viewers watch more... View Details
Gentzkow, Matthew, Jesse M. Shapiro, Frank Yang, and Ali Yurukoglu. "Pricing Power in Advertising Markets: Theory and Evidence." American Economic Review 114, no. 2 (February 2024): 500–533.
- February 2007
- Case
Behavioral Finance at JP Morgan
By: Malcolm P. Baker and Aldo Sesia
Following a successful model in Europe, JP Morgan has introduced a set of five U.S. retail mutual funds with an investment philosophy and marketing strategy grounded in behavioral finance. The asset management group believes that understanding investor biases like... View Details
Keywords: Banks and Banking; Investment Funds; Behavioral Finance; Competitive Advantage; Asset Management; Marketing Strategy; Product Marketing; Customer Focus and Relationships; Banking Industry; Financial Services Industry; United States; Europe
Baker, Malcolm P., and Aldo Sesia. "Behavioral Finance at JP Morgan." Harvard Business School Case 207-084, February 2007.
- 07 Oct 2015
- HBS Seminar
Florian Ederer, Assistant Professor of Economics, Yale School of Management
- 13 Feb 2011
- News
Long live fixed-rate 30-year mortgages!
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.