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(1,339)
- News (128)
- Research (1,002)
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- Faculty Publications (488)
Show Results For
- All HBS Web
(1,339)
- News (128)
- Research (1,002)
- Events (12)
- Multimedia (2)
- Faculty Publications (488)
- 10 Mar 2010
- Working Paper Summaries
A Reexamination of Tunneling and Business Groups: New Data and New Methods
- 09 Dec 2015
- Working Paper Summaries
Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life
- 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
- May 2024
- Article
Design of Off-Grid Lighting Business Models to Serve the Poor: Field Experiments and Structural Analysis
By: Bhavani Shanker Uppari, Serguei Netessine, Ioanna Popescu and Rowan P. Clarke
A significant proportion of the world's population has no access to grid-based electricity and so relies on off-grid lighting solutions. Rechargeable lamp technology is gaining popularity as an alternative off-grid lighting model in developing countries. In this paper,... View Details
Keywords: Technological Innovation; Developing Countries and Economies; Consumer Behavior; Poverty; Logistics; Business Model; Utilities Industry
Uppari, Bhavani Shanker, Serguei Netessine, Ioanna Popescu, and Rowan P. Clarke. "Design of Off-Grid Lighting Business Models to Serve the Poor: Field Experiments and Structural Analysis." Management Science 70, no. 5 (May 2024): 3038–3058.
- 06 Jul 2017
- Working Paper Summaries
Do All Your Detailing Efforts Pay Off? Dynamic Panel Data Methods Revisited
- September–October 2020
- Article
The Air War Versus the Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections
By: Lingling Zhang and Doug J. Chung
This study jointly examines the effects of television advertising and field operations in U.S. presidential elections, with the former referred to as the “air war” and the latter as the “ground game.” Specifically, the study focuses on how different campaign... View Details
Keywords: Multi-channel Marketing; Ground Campaigning; Political Campaigns; Discrete-choice Model; Instrumental Variables; Political Elections; Marketing Channels; Advertising; United States
Zhang, Lingling, and Doug J. Chung. "The Air War Versus the Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections." Marketing Science 39, no. 5 (September–October 2020): 872–892.
Price Bargaining and Competition in Online Platforms: An Empirical Analysis of the Daily Deal Market
The prevalence of online platforms opens new doors to traditional businesses for customer reach and revenue growth. This research investigates platform competition in a setting where prices are determined by negotiations between platforms and businesses. We compile a... View Details
- August 2018 (Revised April 2019)
- Case
Chateau Winery (A): Unsupervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
- 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.)
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (C): Free Delivery Terms
By: Ayelet Israeli
Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
- February 2015
- Other Article
Evaluating the Impact of the Baby-Friendly Hospital Initiative on Breast-feeding Rates: A Multi-state Analysis
By: Summer Sherburne Hawkins, Ariel Dora Stern, Christopher F. Baum and Matthew W. Gillman
Objectives: Despite the passage of state laws promoting breast feeding, a formal evaluation has not yet been conducted to test whether and/or what type of laws may increase breast feeding. The enactment of breastfeeding laws in different states in the USA creates a... View Details
Hawkins, Summer Sherburne, Ariel Dora Stern, Christopher F. Baum, and Matthew W. Gillman. "Evaluating the Impact of the Baby-Friendly Hospital Initiative on Breast-feeding Rates: A Multi-state Analysis." Public Health Nutrition 18, no. 2 (February 2015): 189–197. (Selected as Nutrition Society Paper of the Month, July 2014.)
- September 2009
- Article
Finance and Politics: A Review Essay Based on Kenneth Dam's Analysis of Legal Traditions in The Law-Growth Nexus
By: Mark J. Roe and Jordan I. Siegel
Strong financial markets are widely thought to propel economic development, with many in finance seeing legal tradition as fundamental to protecting investors sufficiently for finance to flourish. Kenneth Dam finds that the legal tradition view inaccurately portrays... View Details
Keywords: Financial Development; Economic Development; Kenneth Dam; Finance; Government and Politics; Information; Law
Roe, Mark J., and Jordan I. Siegel. "Finance and Politics: A Review Essay Based on Kenneth Dam's Analysis of Legal Traditions in The Law-Growth Nexus." Journal of Economic Literature 47, no. 3 (September 2009): 781–800. (Strong financial markets are widely thought to propel economic development, with many in finance seeing legal tradition as fundamental to protecting investors sufficiently for finance to flourish. Kenneth Dam finds that the legal tradition view inaccurately portrays how legal systems work, how laws developed historically, and how government power is allocated in the various legal traditions. Yet, after probing the legal origins' literature for inaccuracies, Dam does not deeply develop an alternative hypothesis to explain the world's differences in financial development. Nor does he challenge the origins core data, which could be origins' trump card. Hence, his analysis will not convince many economists, despite that his legal learning suggests conceptual and factual difficulties for the legal origins explanations. Yet, a dense political economy explanation is already out there and the origins-based data has unexplored weaknesses consistent with Dam's contentions. Knowing if the origins view is truly fundamental, flawed, or secondary is vital for financial development policy making because policymakers who believe it will pick policies that imitate what they think to be the core institutions of the preferred legal tradition. But if they have mistaken views, as Dam indicates they might, as to what the legal traditions' institutions really are and which types of laws are effective, or what is really most important to financial development, they will make policy mistakes—potentially serious ones.)
- April 2012
- Article
Bouncing Out of the Banking System: An Empirical Analysis of Involuntary Bank Account Closures
By: Dennis Campbell, F. Asis Martinez-Jerez and Peter Tufano
Using a new database, we document the factors that relate to the extent of involuntary consumer bank account closure resulting from excessive overdraft activity. Consumers who have accounts involuntarily closed for overdraft activity may have limited or no access to... View Details
Keywords: Mathematical Methods; Customers; Social Issues; Outcome or Result; Budgets and Budgeting; Forecasting and Prediction; Competition; Banks and Banking; Policy; Personal Characteristics; Credit; Employment; United States
Campbell, Dennis, F. Asis Martinez-Jerez, and Peter Tufano. "Bouncing Out of the Banking System: An Empirical Analysis of Involuntary Bank Account Closures." Journal of Banking & Finance 36, no. 4 (April 2012): 1224–1235.
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli
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
The Air War Versus The Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections
This study jointly examines the effects of television advertising and field operations in U.S. presidential elections, with the former referred to as the “air war” and the latter as the “ground game.” Specifically, the study focuses on how different campaign... View Details
- 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
Gallani, Susanna, Jan Bouwens, and Peter Kroos. "Bark Gift Shop Ltd." Harvard Business School Case 120-008, August 2019.
- 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... View Details
- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli
Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
- 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... View Details
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.)