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Show Results For
-
All HBS Web
(1,487)
- News (183)
- Research (993)
- Events (18)
- Multimedia (7)
- Faculty Publications (604)
- April 2015
- Case
Carolinas HealthCare System: Consumer Analytics
By: John A. Quelch and Margaret L. Rodriguez
In 2014, Dr. Michael Dulin, chief clinical officer for analytics and outcomes research and head of the Dickson Advanced Analytics (DA2) group at Carolinas HealthCare System (CHS), successfully unified all analytics talent and resources into one group over a three year...
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Keywords:
Consumer Segmentation;
Big Data;
Management Information Systems;
Hospital Management;
Health Care and Treatment;
Marketing;
Segmentation;
Analytics and Data Science;
Information Management;
Information Technology;
Health;
Health Industry;
United States
Quelch, John A., and Margaret L. Rodriguez. "Carolinas HealthCare System: Consumer Analytics." Harvard Business School Case 515-060, April 2015.
- September 2020 (Revised June 2023)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- 2015
- Working Paper
Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules
By: Pierre Azoulay, Joshua S. Graff Zivin, Danielle Li and Bhaven N. Sampat
We quantify the impact of scientific grant funding at the National Institutes of Health (NIH) on patenting by pharmaceutical and biotechnology firms. Our paper makes two contributions. First, we use newly constructed bibliometric data to develop a method for flexibly...
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Keywords:
Economics Of Science;
Patenting;
Academic Reserach;
NIH;
Knowledge Spillovers;
Patents;
Research;
Government and Politics
Azoulay, Pierre, Joshua S. Graff Zivin, Danielle Li, and Bhaven N. Sampat. "Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules." Harvard Business School Working Paper, No. 16-056, October 2015.
- February 2021
- Tutorial
T-tests: Theory and Practice
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with...
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- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
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Keywords:
AI;
Artificial Intelligence;
Model;
Hardware;
Data Centers;
AI and Machine Learning;
Applications and Software;
Analytics and Data Science;
Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- August 2020
- Technical Note
Comparing Two Groups: Sampling and t-Testing
This note describes sampling and t-tests, two fundamental statistical concepts.
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Keywords:
Statistics;
Econometric Analyses;
Experimental Methods;
Data Analysis;
Data Analytics;
Analytics and Data Science;
Analysis;
Surveys;
Mathematical Methods
Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
- 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...
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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.
- February 2017 (Revised August 2018)
- Case
Sarah Powers at Automated Precision Products
By: Jeffrey T. Polzer, Michael Norris, Julia Kelley and Kristina Tobio
In 2017, Sarah Powers, VP of Sales at an automation hardware firm, is trying to understand why some members of her sales team have been underperforming. She is tasked with analyzing her firm’s email and calendar data to try to find relationships between communications...
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Keywords:
People Analytics;
Sales Attainment;
Communication Networks;
Data;
Human Resources;
Business Processes;
Sales;
Communication;
Analytics and Data Science;
Analysis;
Industrial Products Industry;
Manufacturing Industry;
United States
Polzer, Jeffrey T., Michael Norris, Julia Kelley, and Kristina Tobio. "Sarah Powers at Automated Precision Products." Harvard Business School Case 417-072, February 2017. (Revised August 2018.)
- 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...
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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.)
- September 2020 (Revised July 2022)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Targeted Advertising;
Discrimination;
Algorithmic Data;
Bias;
Advertising;
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Prejudice and Bias;
Analytics and Data Science;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- July 16, 2015
- Article
How Small Businesses Can Fend Off Hackers
By: Lou Shipley
If you wanted to hack a business, which one would you pick: A Fortune 500 company with a large digital-security budget and a team dedicated to protecting its cyberassets? Or a small enterprise that doesn’t employ a single IT security specialist? Security breaches at...
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Keywords:
Hack;
Data Security;
Small Business;
Analytics and Data Science;
Safety;
Information Technology;
Cybersecurity
Shipley, Lou. "How Small Businesses Can Fend Off Hackers." Wall Street Journal (July 16, 2015).
- March–April 2017
- Article
Advancing Conservation by Understanding and Influencing Human Behavior
By: Sheila M. Reddy, Jensen Montambault, Yuta J. Masuda, Ayelet Gneezy, Elizabeth Keenan, William Butler, Jonathan R. Fisher and Stanley T. Asah
Behavioral sciences can advance conservation by systematically identifying behavioral barriers to conservation and how to best overcome them. Behavioral sciences have informed policy in many other realms (e.g., health, savings), but they are a largely untapped resource...
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Keywords:
Adaptive Management;
Awareness;
Behavioral Economics;
Behavioral Science;
Conservation Intervention;
Conservation Planning;
Decision-making;
Incentives;
Nudge;
Management;
Motivation and Incentives;
Behavior;
Marketing;
Decision Making;
Environmental Sustainability;
Economics
Reddy, Sheila M., Jensen Montambault, Yuta J. Masuda, Ayelet Gneezy, Elizabeth Keenan, William Butler, Jonathan R. Fisher, and Stanley T. Asah. "Advancing Conservation by Understanding and Influencing Human Behavior." Conservation Letters 10, no. 2 (March–April 2017): 248–256. (doi:10.1111/conl.12252.)
- February 2014
- Case
BGI: Data-driven Research
By: Willy Shih and Sen Chai
BGI has the largest installed gene-sequencing capacity in the world, and to Zhang Gengyun, general manager of the Life Sciences Division, this represented an opportunity to apply his training as a plant breeder and his early career work as a biochemist to improving...
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Keywords:
Genomics;
Gene Sequencing;
Life Sciences;
Plant Breeding;
Human Genome Program;
Beijing Genomics Institute;
BGI;
Rice Genome;
Technological Innovation;
Innovation Strategy;
Research;
Research and Development;
Science;
Genetics;
Science-Based Business;
Strategy;
Commercialization;
Corporate Strategy;
Information Technology;
Applications and Software;
Agriculture and Agribusiness Industry;
Biotechnology Industry;
Food and Beverage Industry;
China;
United States
Shih, Willy, and Sen Chai. "BGI: Data-driven Research." Harvard Business School Case 614-056, February 2014.
- Article
Uninformed Consent
By: Leslie K. John
Companies want access to more and more of your personal data—from where you are to what’s in your DNA. Can they unlock its value while respecting consumers’ privacy?
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Keywords:
Personal Data;
Privacy;
Customers;
Analytics and Data Science;
Ethics;
Governing Rules, Regulations, and Reforms
John, Leslie K. "Uninformed Consent." Special Issue on The Big Idea: Tracked. Harvard Business Review (website) (September–October 2018).
- March 2019
- Case
HOPI: Turkey's Shopping Companion
By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu
The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer...
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Keywords:
Loyalty Programs;
Multi-vendor Platform;
Retail;
Big Data;
Customer Relationship Management;
Mobile and Wireless Technology;
Business Model;
Analytics and Data Science;
Competitive Strategy;
Decision Making;
Applications and Software;
Digital Platforms;
Technology Industry;
Retail Industry;
Turkey
Gupta, Sunil, Donald Ngwe, and Gamze Yucaoglu. "HOPI: Turkey's Shopping Companion." Harvard Business School Case 519-057, March 2019.
- January 2014 (Revised December 2014)
- Case
GenapSys: Business Models for the Genome
By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble
GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details
Keywords:
DNA Sequencing;
Life Sciences;
Business Model;
Innovation & Entrepreneurship;
Health Care and Treatment;
Genetics;
Business Strategy;
Biotechnology Industry;
Pharmaceutical Industry;
Technology Industry;
Health Industry;
Medical Devices and Supplies Industry;
United States
Hamermesh, Richard G., Joseph B. Fuller, and Matthew Preble. "GenapSys: Business Models for the Genome." Harvard Business School Case 814-050, January 2014. (Revised December 2014.)
- August 2013 (Revised August 2014)
- Case
Catalina In the Digital Age
By: Robert J. Dolan and Uma R. Karmarkar
Catalina in the Digital Age considers how a company with a dominant market position should evolve its established product lines given the rise of novel digital technologies. Since its founding in 1983, Catalina had enjoyed a distinct position in the world of consumer...
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Keywords:
Big Data;
Digital Technologies;
Marketing;
Customer Relationship Management;
Consumer Behavior;
Analytics and Data Science
Dolan, Robert J., and Uma R. Karmarkar. "Catalina In the Digital Age." Harvard Business School Case 514-021, August 2013. (Revised August 2014.)
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools...
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Keywords:
Machine Learning;
Statistics;
Econometric Analyses;
Experimental Methods;
Data Analysis;
Data Analytics;
Forecasting and Prediction;
Analytics and Data Science;
Analysis;
Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
- 2022
- Article
How to Choose a Default
By: John Beshears, Richard T. Mason and Shlomo Benartzi
We have developed a model for setting a default when a population is choosing among ordered choices—that is, ones listed in ascending or descending order. A company, for instance, might want to set a default contribution rate that will increase employees’ average...
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Keywords:
Nudge;
Choice Architecture;
Behavioral Economics;
Behavioral Science;
Default;
Savings;
Decision Choices and Conditions;
Behavior;
Motivation and Incentives
Beshears, John, Richard T. Mason, and Shlomo Benartzi. "How to Choose a Default." Behavioral Science & Policy 8, no. 1 (2022): 1–15.
- 2013
- Book
Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
By: Thomas H. Davenport and Jinho Kim
Managers today need to be able to analyze and make sense of data. They need to be conversant with analytical technology and methods and to make decisions on quantitative analysis. This book offers a variety of practical tools and examples to improve a manager's...
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