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Summing Up Personal Predictive Analytics: Should We Be Careful What We Wish For? The world of continuous monitoring of numerous sensors for machines...
Skip to content The HBS Digital Initiative brings together perspectives across disciplines to help people understand how technology is transforming...
- September 2020 (Revised November 2020)
- Case
Student Success at Georgia State University (A)
By: Michael W. Toffel, Robin Mendelson and Julia Kelley
Georgia State University had developed a reputation for driving student success by nearly doubling its graduation rate for students of all racial, ethnic, and socioeconomic backgrounds. It did so while growing its student body and the proportion of Black/African...
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Keywords:
Education;
Higher Education;
Learning;
Curriculum And Courses;
Demographics;
Diversity;
Ethnicity;
Income;
Race;
Leadership;
Goals And Objectives;
Measurement And Metrics;
Operations;
Organizations;
Mission And Purpose;
Organizational Culture;
Outcome Or Result;
Performance;
Performance Effectiveness;
Performance Evaluation;
Service Operations;
Performance Improvement;
Planning;
Strategic Planning;
Social Enterprise;
Nonprofit Organizations;
Social Issues;
Wealth And Poverty;
Equality And Inequality;
Technology;
Technology Platform;
Education Industry;
Atlanta
Toffel, Michael W., Robin Mendelson, and Julia Kelley. "Student Success at Georgia State University (A)." Harvard Business School Case 621-006, September 2020. (Revised November 2020.)
- 2020
- Working Paper
Uncovering Inequalities in Time-Use and Well-Being during COVID-19: A Multi-Country Investigation
By: Laura M. Giurge, Ayse Yemiscigil, Joseph Sherlock and Ashley V. Whillans
The COVID-19 global pandemic continues to alter how people spend their time, with possible downstream consequences for subjective well-being. Using diverse samples from the United States, Canada, Denmark, Brazil, and Spain (n = 30,018) and following a preregistered...
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Keywords:
Time-use;
Subjective Well-being;
Covid-19;
Health Pandemics;
Work-life Balance;
Gender;
Equality And Inequality
Giurge, Laura M., Ayse Yemiscigil, Joseph Sherlock, and Ashley V. Whillans. "Uncovering Inequalities in Time-Use and Well-Being during COVID-19: A Multi-Country Investigation." Harvard Business School Working Paper, No. 21-037, September 2020.
- September 2020
- Case
JOANN: Joannalytics Inventory Allocation Tool
By: Kris Ferreira and Srikanth Jagabathula
Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and...
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Keywords:
analytics;
Machine Learning;
Optimization;
Inventory Management;
Mathematical Methods;
Decision Making;
Operations;
Supply Chain Management;
Resource Allocation;
Distribution;
Technology Adoption;
Software;
Change Management;
Fashion Industry;
Consumer Products Industry;
Retail Industry;
United States;
Ohio
Ferreira, Kris, and Srikanth Jagabathula. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Case 621-055, September 2020.
- June 2020
- Article
Air Pollution, State Anxiety, and Unethical Behavior: A Meta-Analytic Review
By: J Lu, J. Lee, F. Gino and A. Galinsky
Lu, Lee, Gino, and Galinsky (2018) reported four studies demonstrating that air pollution predicted unethical behavior and that one mediating mechanism was state anxiety. In contrast, Heck and colleagues reported two null-effect studies on air pollution, trait...
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Lu, J., J. Lee, F. Gino, and A. Galinsky. "Air Pollution, State Anxiety, and Unethical Behavior: A Meta-Analytic Review." Psychological Science 31, no. 6 (June 2020): 748–755.
- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data.
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Keywords:
analytics;
Human Resource Management;
Data;
Workforce;
Hiring;
Talent Management;
Forecasting;
Predictive Analytics;
Organizational Behavior;
Recruiting;
Data And Data Sets;
Forecasting And prediction;
Recruitment;
Selection And Staffing;
Talent And Talent Management
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.
- July 2019
- Article
'Forward Flow': A New Measure to Quantify Free Thought and Predict Creativity
By: Kurt Gray, Stephen Anderson, Eric Evan Chen, John Michael Kelly, Michael S. Christian, John Patrick, Laura Huang, Yoed N. Kenett and Kevin Lewis
When the human mind is free to roam, its subjective experience is characterized by a continuously evolving stream of thought. Although there is a technique that captures people’s streams of free thought—free association—its utility for scientific research is undermined...
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Gray, Kurt, Stephen Anderson, Eric Evan Chen, John Michael Kelly, Michael S. Christian, John Patrick, Laura Huang, Yoed N. Kenett, and Kevin Lewis. "'Forward Flow': A New Measure to Quantify Free Thought and Predict Creativity." American Psychologist 74, no. 5 (July 2019): 539–554.
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019.
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- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019.
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- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can...
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Keywords:
Inventory Management;
Demand Forecasting;
Artificial Intelligence;
Machine Learning;
Forecasting And prediction;
Operations;
Management;
Decision Making;
Apparel And Accessories Industry;
Fashion Industry
Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
- August 2018 (Revised September 2018)
- Case
Predicting Purchasing Behavior at PriceMart (A)
By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded...
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Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)
- August 2018 (Revised September 2018)
- Case
LendingClub (A): Data Analytic Thinking (Abridged)
By: Srikant M. Datar and Caitlin N. Bowler
LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns...
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Keywords:
Data Science;
Data Analytics;
Investing;
Loans;
Investment;
Financing And Loans;
Data And Data Sets;
Analysis;
Forecasting And prediction;
Business Model
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
- February 2018 (Revised December 2020)
- Case
People Analytics at Teach For America (A)
By: Jeffrey T. Polzer and Julia Kelley
As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization's strategy, including recruitment and selection. A few months earlier, former...
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Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (A)." Harvard Business School Case 418-013, February 2018. (Revised December 2020.)
- Article
How Did the Great Recession Affect Charitable Giving?
By: Arthur C. Brooks
A great deal of research has studied the effects of income and tax changes on charitable giving. However, little work has focused on how these relationships were affected by the Great Recession. This article estimates the tax and income effects using the 2009 Panel...
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Keywords:
Charitable Giving;
Great Recession;
Philanthropy;
Philanthropy And Charitable Giving;
Financial Crisis;
Taxation;
Policy
Brooks, Arthur C. "How Did the Great Recession Affect Charitable Giving?" Public Finance Review 46, no. 5 (September 2018): 715–742.
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
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Keywords:
Marketing;
Marketing Strategy;
Brands;
Brand & Product Management;
Big Data;
"marketing Analytics";
Consumer Behavior;
Predictive Analytics;
Forecasting;
Preferences;
Marketing Channels;
Operation Management;
Distribution Channels;
Marketing;
Marketing Channels;
Marketing Strategy;
Brands And Branding;
Forecasting And prediction;
Data And Data Sets;
Retail Industry;
Fashion Industry;
Apparel And Accessories Industry;
United States;
North America
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I...
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Keywords:
Machine Learning;
Policy Implementation;
Empirical Research;
Inspection;
Safety;
Occupational Safety;
Occupational Health;
Regulation;
Analysis;
Forecasting And prediction;
Policy;
Operations;
Supply Chain Management;
Safety;
Manufacturing Industry;
Construction Industry;
United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
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Keywords:
Marketing;
Marketing Strategy;
Retailing;
Brands And Branding;
Consumer Behavior;
Preference Elicitation;
Big Data;
Predictive Analytics;
Artificial Intelligence;
E-commerce;
Fashion;
Marketing;
Marketing Strategy;
Marketing Channels;
Brands And Branding;
Consumer Behavior;
Demand And Consumers;
Data And Data Sets;
Forecasting And prediction;
Apparel And Accessories Industry;
Consumer Products Industry;
Fashion Industry;
Retail Industry;
United States;
Canada;
North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- October 2016 (Revised April 2018)
- Case
DataXu: Selling Ad Tech
By: Frank V. Cespedes, John Deighton, Lisa Cox and Olivia Hull
DataXu served marketers by buying digital advertising for brands using its demand-side platform. It sought a way to build a more predictable revenue stream in the very transactional media marketplace, and hoped that two new marketing analytics products would give it a...
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Keywords:
Sales Management;
Marketing Strategy;
Pricing;
Programmatic Ad Buying;
"marketing Analytics";
Advertising Technology;
Sales;
Online Advertising;
Marketing Strategy;
Advertising Campaigns;
Product Launch;
Product Positioning;
Media;
Technology Industry;
Advertising Industry;
Boston;
Massachusetts
Cespedes, Frank V., John Deighton, Lisa Cox, and Olivia Hull. "DataXu: Selling Ad Tech." Harvard Business School Case 817-012, October 2016. (Revised April 2018.)
Are you looking for?
Summing Up Personal Predictive Analytics: Should We Be Careful What We Wish For? The world of continuous monitoring of numerous sensors for machines...
Skip to content The HBS Digital Initiative brings together perspectives across disciplines to help people understand how technology is transforming...