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(6,785)
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Show Results For
- All HBS Web
(6,785)
- News (1,207)
- Research (4,413)
- Events (115)
- Multimedia (64)
- Faculty Publications (3,038)
- January 23, 2023
- Article
Click-by-click: Using Alternative Data to Make a Business Case for Culture
By: Jillian Grennan and Joseph Pacelli
Grennan, Jillian, and Joseph Pacelli. "Click-by-click: Using Alternative Data to Make a Business Case for Culture." CMR Insights (January 23, 2023).
- December 2023
- Article
What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data
By: Alberto Cavallo and Oleksiy Kryvtsov
We use a detailed micro dataset on product availability and stockouts to construct a direct high-frequency measure of consumer product shortages during the 2020-2022 pandemic. We document a widespread multi-fold rise in stockouts in nearly all sectors early in the... View Details
Keywords: Prices; Stockouts; Inventories; Supply Disruptions; COVID-19 Pandemic; Supply Chain; Product; Demand and Consumers
Cavallo, Alberto, and Oleksiy Kryvtsov. "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data." Journal of International Economics 146 (December 2023).
- January 2021 (Revised March 2021)
- Supplement
E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Analytics and Data Science; Analysis; Sales; Goods and Commodities; Retail Industry; Consumer Products Industry; United States
Rethinking the Profession Formerly Known as Advertising: How Data Science Is Disrupting the Work of Agencies
Speaker's Box, Journal of Advertising Research
“Speaker’s Box” invites academics and practitioners to identify potential areas of research affecting marketing and advertising. Its intention is to bridge the gap between the length... View Details
- August 2020
- Case
Chesapeake Conservancy: Democratizing Data to Protect 30% of the Planet by 2030
By: Lynda M. Applegate and Ankita Panda
Applegate, Lynda M., and Ankita Panda. "Chesapeake Conservancy: Democratizing Data to Protect 30% of the Planet by 2030." Harvard Business School Case 821-017, August 2020.
- 1998
- Working Paper
The Consequences of Labour Market Flexibility: Panel Evidence Based on Survey Data
By: Rafael Di Tella and Robert MacCulloch
- February 2016 (Revised February 2017)
- Case
The Climate Corporation
By: David E. Bell, Forest Reinhardt and Mary Shelman
Climate Corporation is a San Francisco–based data analytics company focused on agricultural applications. It was acquired by Monsanto in 2013. In 2015, Climate's decision support platform was used on 75 million acres of farmland in the U.S.; however, most of those... View Details
Keywords: Agribusiness Industry; Farming; Big Data; Data Analytics; Agriculture; Agribusiness; Decision Making; Analytics and Data Science; Agriculture and Agribusiness Industry
Bell, David E., Forest Reinhardt, and Mary Shelman. "The Climate Corporation." Harvard Business School Case 516-060, February 2016. (Revised February 2017.)
- 21 Jun 2018
- Video
KPMA HBX Live: Cracking the Data Aggregation Problem - Paul Giusti
- August 2018 (Revised September 2018)
- Supplement
LendingClub (B): Decision Trees & Random Forests
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
- February 1996
- Article
Explaining the Term Structure of Interest Rates: A Panel Data Approach
By: E. S. Mayfield and R. Murphy
Mayfield, E. S., and R. Murphy. "Explaining the Term Structure of Interest Rates: A Panel Data Approach." Journal of Economics and Business 48, no. 1 (February 1996): 11–21.
- March 2019
- Case
Wattpad
By: John Deighton and Leora Kornfeld
How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers... View Details
Keywords: Platform Businesses; Creative Industries; Publishing; Data Science; Machine Learning; Collaborative Filtering; Women And Leadership; Managing Data Scientists; Big Data; Recommender Systems; Digital Platforms; Information Technology; Intellectual Property; Analytics and Data Science; Entertainment and Recreation Industry; Entertainment and Recreation Industry; Canada; United States; Philippines; Viet Nam; Turkey; Indonesia; Brazil
Deighton, John, and Leora Kornfeld. "Wattpad." Harvard Business School Case 919-413, March 2019.
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry
Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
- 15 Oct 2009
- Other Presentation
Growing Successful Inner City Businesses: Findings From A Decade of ICIC Data
Dr. Michael Porter: Inner City Economic Forum Summit 2009 View Details
Porter, Michael E. "Growing Successful Inner City Businesses: Findings From A Decade of ICIC Data." Inner City Economic Summit, Initiative for a Competitive Inner City, Washington, DC, October 15, 2009.
- 01 Jan 1999
- Conference Presentation
A Framework for Measuring the Quality of Medication Prescribing Using Administrative Data
By: R. S. Stafford, Richard Bohmer and R. Gaudette
- 1 Aug 1997
- Conference Presentation
What Really Happens in Creative Projects: Event Sampling through Electronic Data Collection
By: T. M. Amabile, D. Whitney, J. Weinstock, L. Miller and C. Fallang
- May 1986
- Case
Data Administration in Citibank Brazil (D): Implementation of the Central Liabilities Pilot
By: Shoshana Zuboff
Zuboff, Shoshana. "Data Administration in Citibank Brazil (D): Implementation of the Central Liabilities Pilot." Harvard Business School Case 486-112, May 1986.
- January 1999
- Exercise
Seneca Systems (B): General and Confidential Instructions for Dr. D. Monosoff, Vice President, Data Devices Division
Seneca is a three-party negotiation-mediation simulation. The context is a product failure crisis in a manufacturing company with highly autonomous units. The heads of two divisions are in a dispute over who has responsibility for failures in a key product. The head of... View Details
Watkins, Michael D. "Seneca Systems (B): General and Confidential Instructions for Dr. D. Monosoff, Vice President, Data Devices Division." Harvard Business School Exercise 899-173, January 1999.
- January 1999
- Exercise
Seneca Systems (A): General and Confidential Instructions for Dr. D. Monosoff, Vice President, Data Devices Division
Seneca is a three-party negotiation-mediation simulation. The context is a product failure crisis in a manufacturing company with highly autonomous units. The heads of two divisions are in a dispute over who has responsibility for failures in a key product. The head of... View Details
Watkins, Michael D. "Seneca Systems (A): General and Confidential Instructions for Dr. D. Monosoff, Vice President, Data Devices Division." Harvard Business School Exercise 899-170, January 1999.
- July 9, 2019
- Article
Setting Better Sales Goals with Analytics
By: Doug J. Chung, Isabel Huber, Vinay Murthy, Varun Sunku and Marije Weber
Sales compensation is a critical lever in motivating a salesforce and driving growth in the business-to-business sector: Studies show that revising compensation in line with market trends can have a 50% greater impact on sales than advertisements have, for instance. A... View Details
Keywords: Analytics; Salesforce Management; Compensation and Benefits; Motivation and Incentives; Goals and Objectives
Chung, Doug J., Isabel Huber, Vinay Murthy, Varun Sunku, and Marije Weber. "Setting Better Sales Goals with Analytics." Harvard Business Review (website) (July 9, 2019).