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Show Results For
- All HBS Web
(3,067)
- People (14)
- News (654)
- Research (1,594)
- Events (19)
- Multimedia (9)
- Faculty Publications (874)
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- April 2021 (Revised August 2021)
- Case
Borusan CAT: Monetizing Prediction in the Age of AI (A)
By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. Esra Durgun (Director of Strategy, Digitization, and Innovation) and Ozgur Gunaydin (CEO) seem to have bet their careers on developing Muneccim, a new predictive technology that is designed to... View Details
Keywords: Monetization Strategy; Artificial Intelligence; AI; Forecasting and Prediction; Applications and Software; Technological Innovation; Marketing; Segmentation; AI and Machine Learning; Construction Industry; Turkey
Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (A)." Harvard Business School Case 521-053, April 2021. (Revised August 2021.)
- 2022
- Book
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
By: Paul Leonardi and Tsedal Neeley
The pressure to "be digital" has never been greater, but you can meet the challenge.
The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive... View Details
Keywords: Digital; Artificial Intelligence; Big Data; Digital Transformation; Technological Innovation; Transformation; Learning; Competency and Skills
Leonardi, Paul, and Tsedal Neeley. The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI. Boston, MA: Harvard Business Review Press, 2022.
- Research Summary
Overview
By: Shunyuan Zhang
Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging... View Details
- July 2023 (Revised October 2024)
- Case
Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup
By: Paul M. Healy and Jung Koo Kang
The case explores the challenges of revenue recognition and financial reporting for Stride Funding (Stride), a fintech startup that has disrupted the student loan market. Stride leveraged proprietary machine learning and financial models to underwrite alternative... View Details
Keywords: Revenue Recognition; Financial Reporting; Entrepreneurial Finance; Business Startups; Growth and Development Strategy; Governance Compliance; Accrual Accounting; Financial Services Industry; United States
Healy, Paul M., and Jung Koo Kang. "Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup." Harvard Business School Case 124-015, July 2023. (Revised October 2024.)
- July 2023
- Case
DayTwo: Going to Market with Gut Microbiome (Abridged)
By: Ayelet Israeli
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. After a first year of trial rollout in... View Details
Keywords: Business Startups; AI and Machine Learning; Nutrition; Market Entry and Exit; Product Marketing; Distribution Channels
Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome (Abridged)." Harvard Business School Case 524-015, July 2023.
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- April 2022
- Supplement
Mastercard Labs (B)
When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, digital technologies were on the rise, and innovation needed to become a strategic imperative at the company. Banga tasked Garry Lyons, who had joined Mastercard through the 2009 acquisition of Orbiscom,... View Details
Keywords: Organizational Behavior; Culture; Transformation; Organizational Culture; Culture Change; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Leadership Development; Innovation; Innovation Ecosystems; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Ecosystem; Agility; Prototype; Experiment; Partnerships; Operating Model; Risk Management; Digital Transformation; Metrics; Payments; Financial Industry; Financial Inclusion; Ambidexterity; Corporate Innovation; Innovation Lab; Accelerator; Start-up; Fintech
Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (B)." Harvard Business School Supplement 422-081, April 2022.
- 2017
- Working Paper
Self-Employment Dynamics and the Returns to Entrepreneurship
By: Eleanor W. Dillon and Christopher T. Stanton
Small business owners and others in self-employment have the option to transition to paid work. If there is initial uncertainty about entrepreneurial earnings, this option increases the expected lifetime value of self-employment relative to pay in a single year. This... View Details
Keywords: Self-employed; Small Business; Business Earnings; Entrepreneurship; Ownership; Compensation and Benefits
Dillon, Eleanor W., and Christopher T. Stanton. "Self-Employment Dynamics and the Returns to Entrepreneurship." Harvard Business School Working Paper, No. 17-022, September 2016. (Revised March 2018.)
- April 2020
- Article
CEO Behavior and Firm Performance
By: Oriana Bandiera, Stephen Hansen, Andrea Prat and Raffaella Sadun
We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level... View Details
Bandiera, Oriana, Stephen Hansen, Andrea Prat, and Raffaella Sadun. "CEO Behavior and Firm Performance." Journal of Political Economy 128, no. 4 (April 2020): 1325–1369.
- June 2022
- Article
The Use and Misuse of Patent Data: Issues for Finance and Beyond
By: Josh Lerner and Amit Seru
Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details
Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
- September 2004 (Revised December 2004)
- Case
Metso Paper: Globalization of Finnish Metal Workshops
By: Lynda M. Applegate, Marikka Heikkila and Kalle Lyytinen
Metso Paper, the world's largest producer of paper machines, aims to transform itself into a knowledge- and information-based service and solution provider for the paper industry by aggressively exploiting information technologies. In the fall of 2002, Jorma Hujala, a... View Details
Keywords: Production; Customer Value and Value Chain; Information Technology; Corporate Strategy; Knowledge Management; Machinery and Machining; Expansion; Service Delivery; Manufacturing Industry; Pulp and Paper Industry; Finland
Applegate, Lynda M., Marikka Heikkila, and Kalle Lyytinen. "Metso Paper: Globalization of Finnish Metal Workshops." Harvard Business School Case 805-057, September 2004. (Revised December 2004.)
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 23 Oct 2018
- First Look
New Research and Ideas, October 23, 2018
Data and Machine Learning By: Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck Abstract—Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates... View Details
Keywords: Dina Gerdeman
- June 2025
- Case
AI at QuantumBlack: McKinsey's Open Source Dilemma
By: Frank Nagle, Sam Boysel and Susan Pinckney
The case describes the history of QuantumBlack. In 2015, McKinsey acquired data analytics company QuantumBlack. QuantumBlack produced Kedro, a ML data pipeline tool that helped McKinsey’s customers manage their data in an effective manner to gain insights from machine... View Details
Keywords: Open Source; Business Growth and Maturation; Business Model; Business Startups; Change Management; Transformation; Customer Focus and Relationships; Decisions; Digital Strategy; Digital Transformation; Technological Innovation; Copyright; Growth and Development Strategy; Market Timing; Competition; AI and Machine Learning; Mergers and Acquisitions; Analytics and Data Science; Applications and Software; Open Source Distribution; Computer Industry; Consulting Industry
Nagle, Frank, Sam Boysel, and Susan Pinckney. "AI at QuantumBlack: McKinsey's Open Source Dilemma." Harvard Business School Case 725-433, June 2025.
- June 2025
- Teaching Note
AI at QuantumBlack: McKinsey's Open Source Dilemma
By: Frank Nagle, Sam Boysel and Susan Pinckney
Teaching Note for HBS Case No. 725-433. The case describes the history of QuantumBlack. In 2015, McKinsey acquired data analytics company QuantumBlack. QuantumBlack produced Kedro, a ML data pipeline tool that helped McKinsey’s customers manage their data in an... View Details
Keywords: Business Growth and Maturation; Business Model; Change Management; Transformation; Customer Focus and Relationships; Decision Making; Financial Strategy; AI and Machine Learning; Digital Platforms; Technological Innovation; Copyright; Growth and Development Strategy; Market Timing; Risk and Uncertainty; Competition; Mergers and Acquisitions; Analytics and Data Science; Applications and Software; Open Source Distribution; Computer Industry; Consulting Industry
- March 2022
- Case
Unilever: Remote Work in Manufacturing
By: Prithwiraj Choudhury and Susie L. Ma
In December 2021, Unilever—one of the world’s largest producers of consumer goods—was in the midst of a pilot project to digitize its manufacturing facilities and enable remote work for factory employees. This was possible because of an earlier project to retrofit a... View Details
Keywords: Change; Globalization; Information Technology; Technology Adoption; Human Resources; Jobs and Positions; Operations; Education; Training; Manufacturing Industry
Choudhury, Prithwiraj, and Susie L. Ma. "Unilever: Remote Work in Manufacturing." Harvard Business School Case 622-030, March 2022.
- Article
The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand
By: Marco Bertini and Oded Koenigsberg
More and more companies are relying on pricing algorithms to maximize profits. The use of artificial intelligence and machine learning enables real-time price adjustments based on supply and demand, competitors’ activities, delivery schedules, and so forth. But... View Details
Keywords: Algorithmic Pricing; Dynamic Pricing; Price; Change; Information Technology; Brands and Branding; Perception; Consumer Behavior
Bertini, Marco, and Oded Koenigsberg. "The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand." Harvard Business Review 99, no. 5 (September–October 2021): 74–83.
- December 2022 (Revised January 2025)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
- Article
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez
Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details
Yang, Wanqian, Lars Lorch, Moritz Graule, Himabindu Lakkaraju, and Finale Doshi-Velez. "Incorporating Interpretable Output Constraints in Bayesian Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- 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
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)