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Show Results For
- All HBS Web
(2,045)
- News (420)
- Research (1,318)
- Events (25)
- Multimedia (3)
- Faculty Publications (450)
- March 2019 (Revised July 2020)
- Case
MoviePass: The 'Get Big Fast' Strategy
By: Benjamin C. Esty and Daniel W. Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams from related businesses... View Details
Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Entrepreneurship; Market Entry and Exit; Growth and Development Strategy; Business Strategy; Value Creation; Disruption; Motion Pictures and Video Industry; United States
Esty, Benjamin C., and Daniel W. Fisher. "MoviePass: The 'Get Big Fast' Strategy." Harvard Business School Case 719-455, March 2019. (Revised July 2020.)
- 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; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
- August 2002 (Revised June 2006)
- Background Note
Steps Toward Self-Assessment
Provides an overview of the self-assessment process and data-generating instruments employed in the course Self-Assessment and Career Development. The major steps in the outlined process are: gathering data through the instruments; reacting to the data and instruments;... View Details
Keywords: Personal Development and Career
Higgins, Monica C. "Steps Toward Self-Assessment." Harvard Business School Background Note 403-029, August 2002. (Revised June 2006.)
- January 2020 (Revised July 2020)
- Supplement
MoviePass: The 'Get Big Fast' Strategy
By: Benjamin C. Esty and Daniel Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams form related businesses... View Details
Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Business Strategy; Value Creation; Consolidation; Cash Flow; Growth Management; Business Startups; Entrepreneurship; Disruptive Innovation; Mobile Technology; Motion Pictures and Video Industry; Entertainment and Recreation Industry; Advertising Industry; Information Industry; United States
- February 2001
- Case
PlanetFeedback: The Voice of One ... The Power of Many (A)
By: James L. Heskett
The management of PlanetFeedback in proposes a merger with Intelliseek. Their goal is to create a comprehensive C2B and B2B business focused on the generation and analysis for business clients of consumer feedback data via the Internet, Planet Feedback's board of... View Details
Keywords: Mergers and Acquisitions; Decisions; Information Management; Analytics and Data Science; Business Strategy; Internet and the Web; Information Technology Industry
Heskett, James L. "PlanetFeedback: The Voice of One ... The Power of Many (A)." Harvard Business School Case 901-051, February 2001.
- December 2022
- Article
Initial Coin Offering (ICO) Success and Post-ICO Performance
By: Evgeny Lyandres, Berardino Palazzo and Daniel Rabetti
We compile a comprehensive data set of initial coin offerings (ICOs) from 19 data sources including 11 ICO aggregators. We alleviate severe limitations of available ICO data by performing the first systematic analysis of ICO data quality. We use our data set to study... View Details
Lyandres, Evgeny, Berardino Palazzo, and Daniel Rabetti. "Initial Coin Offering (ICO) Success and Post-ICO Performance." Management Science 68, no. 12 (December 2022): 8658–8679.
- 17 Oct 2019
- Working Paper Summaries
Persuasion by Populist Propaganda: Evidence from the 2015 Argentine Ballotage
Initial Coin Offering (ICO) Success and Post-ICO Performance
We compile a comprehensive data set of initial coin offerings (ICOs) from 19 data sources including 11 ICO aggregators. We alleviate severe limitations of available ICO data by performing the first systematic analysis of ICO data quality. We use our data set to... View Details
- 23 May 2016
- News
The Biggest Challenges of Data-Driven Manufacturing
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- October 2021 (Revised December 2021)
- Case
Customer-Centric Design with Artificial Intelligence: Commonwealth Bank
By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo
As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer... View Details
Keywords: Artificial Intelligence; Customer-centricity; Banks and Banking; Customer Focus and Relationships; Technological Innovation; Transformation; Organizational Change and Adaptation; Performance; AI and Machine Learning; Financial Services Industry; Australia
Lakhani, Karim R., Yael Grushka-Cockayne, Jin Hyun Paik, and Steven Randazzo. "Customer-Centric Design with Artificial Intelligence: Commonwealth Bank." Harvard Business School Case 622-065, October 2021. (Revised December 2021.)
- 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.
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- 17 Mar 2021
- Working Paper Summaries
Consuming Contests: Outcome Uncertainty and Spectator Demand for Contest-based Entertainment
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
Keywords: Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 13 Jul 2020
- News
Roles Foundations Play in Shaping Impact Investing
Michael I. Parzen
Michael Parzen is a Senior Lecturer in the Technology and Operations Management unit at Harvard Business School. He is an applied statistician with extensive experience in data science education and currently teaches Applied Business Analytics as an MBA elective... View Details
- 09 Apr 2025
- HBS Seminar
Marc Rysman, Boston University
- 23 Jan 2024
- Research & Ideas
How to Keep Employees Productive: Support Caregivers
understand why they’re not showing up?” says Fuller, who co-chairs the Project on the Workforce at Harvard. The good news: As more leaders move into the sandwich generation and care for aging parents while raising children, the more... View Details
Keywords: by Kara Baskin
- December 4, 2023
- Comment
The Great Resignation, Employment, and Wages in Health Care
By: Amitabh Chandra and Louis-Jonas Heizlsperger
Notwithstanding concerns about staffing levels and burnout in health care, federal wage and employment data does not support the suggestion that a COVID-19 pandemic-related spike in quitting has had an enduring impact for hospitals or physician offices. Employment in... View Details
Chandra, Amitabh, and Louis-Jonas Heizlsperger. "The Great Resignation, Employment, and Wages in Health Care." NEJM Catalyst (December 4, 2023).