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Show Results For
- All HBS Web
(2,836)
- News (450)
- Research (2,173)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,383)
- 06 May 2015
- What Do You Think?
Are You Ready for Personalized Predictive Analytics?
Summing Up Personal Predictive Analytics: Should We Be Careful What We Wish For? The world of continuous monitoring of numerous sensors for machines and humans, limitless information storage capacity, and big data combined with rapid... View Details
Keywords: by James Heskett
- 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... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)
- 20 Jun 2016
- Research & Ideas
When Predicting Other People's Preferences, You're Probably Wrong
about presuming preferences. When predicting other people’s tastes, we tend to erroneously assume that liking one thing precludes enjoying another, dissimilar option, according to a recent set of studies by researchers at Harvard Business... View Details
- 20 Jun 2016
- News
When Predicting Other People's Preferences, You're Probably Wrong
- 24 Sep 2020
- News
Financial Meltdowns Are More Predictable Than We Thought
- 2009
- Case
What People Want (and How to Predict It)
By: Thomas H. Davenport and Jeanne G. Harris
Historically, neither the creators nor the distributors of cultural products such as books or movies have used analytics -- data, statistics, predictive modeling -- to determine the likely success of their offerings. Instead, companies relied on the brilliance of... View Details
Keywords: Product Development; Creativity; Customer Satisfaction; Forecasting and Prediction; Markets; Business Model; Publishing Industry; Motion Pictures and Video Industry
Davenport, Thomas H., and Jeanne G. Harris. "What People Want (and How to Predict It)." 2009.
- April 2010
- Teaching Note
Four Products (2008): Predicting Diffusion (TN)
Teaching Note for 508103. View Details
- 06 Apr 2022
- News
How to Use Correlation to Make Predictions
- Editorial
The Power of Precise Predictions
By: Philip E. Tetlock and J. Peter Scoblic
Keywords: Politics; Foreign Policy; Forecasting and Prediction; Globalization; Policy; Government and Politics
Tetlock, Philip E., and J. Peter Scoblic. "The Power of Precise Predictions." New York Times (October 4, 2015), SR10.
- August 2003 (Revised May 2005)
- Teaching Note
Four Products: Predicting Diffusion (TN)
Teaching Note for (5-502-045). View Details
- 12 Mar 2013
- News
Surefire Predictions and Why Doomsayers are Wrong
- January 2014
- Article
Self-reported Ethical Risk Taking Tendencies Predict Actual Dishonesty
By: Liora Zimerman, Shaul Shalvi and Yoella Bereby-Meyer
Are people honest about the extent to which they engage in unethical behaviors? We report an experiment examining the relation between self-reported risky unethical tendencies and actual dishonest behavior. Participants’ self-reported risk taking tendencies were... View Details
Keywords: DOSPERT; Risk Taking; Honesty; Lying; Dishonesty; Unethical Behavior; Moral Sensibility; Cognition and Thinking
Zimerman, Liora, Shaul Shalvi, and Yoella Bereby-Meyer. "Self-reported Ethical Risk Taking Tendencies Predict Actual Dishonesty." Judgment and Decision Making 9, no. 1 (January 2014): 58–64.
- 27 Feb 2015
- News
New Book by Harvard Professors Predicts Retail Revolution
- 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... View Details
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.)
- 01 Jun 2015
- News
Three Predictions for Boston’s Innovation Scene in 2035
- June 2021
- Article
From Predictions to Prescriptions: A Data-driven Response to COVID-19
By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
- 09 Feb 2007
- Working Paper Summaries
Do Corporate Social Responsibility Ratings Predict Corporate Social Performance?
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
- Article
Shorting Demand and Predictability of Returns
By: Lauren Cohen, Karl B. Diether and Christopher J. Malloy
Cohen, Lauren, Karl B. Diether, and Christopher J. Malloy. "Shorting Demand and Predictability of Returns." Journal of Investment Management 7, no. 1 (First Quarter 2009): 36–52.