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  • All HBS Web  (6,982)
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    • Multimedia  (62)
  • Faculty Publications  (3,008)
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  • Article

Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis

By: R. Metters, F. Frei and V. Vargas
Keywords: Measurement and Metrics; Data and Data Sets; Service Industry
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Metters, R., F. Frei, and V. Vargas. "Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis." Production and Operations Management 8, no. 3 (Fall 1999): 264–281.
  • 2025
  • White Paper

Data & Technology in Action: Community Colleges Advancing Economic Mobility

By: Joseph B. Fuller, Kerry McKittrick and Amanda Holloway
Keywords: Higher Education; Demographics; Economic Growth; Competency and Skills; Employment
Citation
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Fuller, Joseph B., Kerry McKittrick, and Amanda Holloway. "Data & Technology in Action: Community Colleges Advancing Economic Mobility." White Paper, Project on Workforce at Harvard, February 2025.
  • March 1987
  • Article

Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations

By: J. Frankel and K. A. Froot
Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Analytics and Data Science; Finance
Citation
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Frankel, J., and K. A. Froot. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations." American Economic Review 77, no. 1 (March 1987): 133–153. (Revised from NBER Working Paper No. 1672.)
  • Article

Ensembles of Overfit and Overconfident Forecasts

By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets
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Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • 27 Feb 2023
  • Research & Ideas

How One Late Employee Can Hurt Your Business: Data from 25 Million Timecards

pandemic fatigue set off a wave of “quiet quitting” and not-so-quiet quitting. "The heart of what we found is that the [quality of work] depends on how much it's accompanied by other employees being late or... View Details
Keywords: by Ben Rand; Retail
  • 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
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
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Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
  • August 2020
  • Technical Note

Comparing Two Groups: Sampling and t-Testing

By: Iavor I Bojinov, Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih and Michael W. Toffel
This note describes sampling and t-tests, two fundamental statistical concepts. View Details
Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
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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.
  • 1979
  • Chapter

Research Methods and Data Analysis: The Challenge of Knowing How to Do What About Why

By: T. M. Amabile and W. DeJong
Keywords: Mathematical Methods; Knowledge Acquisition; Knowledge Management; Knowledge Use and Leverage
Citation
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Amabile, T. M., and W. DeJong. "Research Methods and Data Analysis: The Challenge of Knowing How to Do What About Why." In Psychology and Life. 10th ed. Edited by P. G. Zimbardo. Glenview, IL: Scott, Foresman and Company, 1979.
  • January 2021 (Revised March 2021)
  • Exercise

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; Direct-to-consumer; DTC; Analytics and Data Science; Sales; Marketing; E-commerce; Retail Industry; Consumer Products Industry; United States
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Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Exercise 521-078, January 2021. (Revised March 2021.)
  • June 2023
  • Simulation

Artea Dashboard and Targeting Policy Evaluation

By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
  • August 2019
  • Case

Bark Gift Shop Ltd.

By: Susanna Gallani, Jan Bouwens and Peter Kroos
This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in... View Details
Keywords: Data Analytics; Employees; Behavior; Performance; Management; Goals and Objectives; Motivation and Incentives; Analysis
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Gallani, Susanna, Jan Bouwens, and Peter Kroos. "Bark Gift Shop Ltd." Harvard Business School Case 120-008, August 2019.
  • 15 Oct 2009
  • Other Presentation

Growing Successful Inner City Businesses: Findings From A Decade of ICIC Data

By: Michael E. Porter
Dr. Michael Porter: Inner City Economic Forum Summit 2009 View Details
Keywords: Economics; Growth and Development; United States
Citation
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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
Keywords: Framework; Quality; Standards; Health Care and Treatment
Citation
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Stafford, R. S., Richard Bohmer, and R. Gaudette. "A Framework for Measuring the Quality of Medication Prescribing Using Administrative Data." Paper presented at the Association for Health Services Research, January 01, 1999.
  • 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
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Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Spreadsheet Supplement 521-712, January 2021. (Revised March 2021.)
  • 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
Keywords: Creativity; Projects; Management Analysis, Tools, and Techniques
Citation
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Amabile, T. M., D. Whitney, J. Weinstock, L. Miller, and C. Fallang. "What Really Happens in Creative Projects: Event Sampling through Electronic Data Collection." Paper presented at the Academy of Management Annual Meeting, Boston, August 01, 1997.
  • May 1986
  • Case

Data Administration in Citibank Brazil (D): Implementation of the Central Liabilities Pilot

By: Shoshana Zuboff
Keywords: Banks and Banking; Information Management; Banking Industry; Brazil
Citation
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Zuboff, Shoshana. "Data Administration in Citibank Brazil (D): Implementation of the Central Liabilities Pilot." Harvard Business School Case 486-112, May 1986.
  • February 1996
  • Article

Explaining the Term Structure of Interest Rates: A Panel Data Approach

By: E. S. Mayfield and R. Murphy
Keywords: Interest Rates; Data and Data Sets
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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.
  • 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
Citation
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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 23, 2023
  • Article

Click-by-click: Using Alternative Data to Make a Business Case for Culture

By: Jillian Grennan and Joseph Pacelli
Keywords: Organizational Culture; Value
Citation
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Grennan, Jillian, and Joseph Pacelli. "Click-by-click: Using Alternative Data to Make a Business Case for Culture." CMR Insights (January 23, 2023).
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