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  • All HBS Web  (1,379)
    • News  (129)
    • Research  (1,030)
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    • Multimedia  (2)
  • Faculty Publications  (508)
← Page 8 of 1,379 Results →
  • January 2021 (Revised March 2021)
  • Exercise

E-Commerce Analytics for CPG Firms (C): Free Delivery Terms

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; 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; Grocery Delivery; Margins; Analytics and Data Science; Retention; 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 (C): Free Delivery Terms." Harvard Business School Exercise 521-080, January 2021. (Revised March 2021.)
  • January 2025
  • Case

PayJoy: Financing for the Next Billion

By: Boris Groysberg and Sarah L. Abbott
PayJoy, an impact-driven financial technology company founded in 2015, provides smartphone financing and other financial products to customers who lack access to traditional credit products. As of early 2025, PayJoy had issued $2.5 billion in loans to 13 million... View Details
Keywords: Social Impact; Fintech; Underbanked; Algorithm; Data Analysis; Technology; Business Startups; Business Model; Growth and Development; Information Technology; Social Enterprise; Developing Countries and Economies; Credit; Mission and Purpose; Entrepreneurship; Financing and Loans; Financial Services Industry; Technology Industry; South America; South Africa; Asia; Latin America; Africa; Southeast Asia
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Groysberg, Boris, and Sarah L. Abbott. "PayJoy: Financing for the Next Billion." Harvard Business School Case 425-036, January 2025.
  • 2016
  • Working Paper

Are 'Better' Ideas More Likely to Succeed? An Empirical Analysis of Startup Evaluation

By: Erin L. Scott, Pian Shu and Roman M. Lubynsky
This paper studies the uncertainty associated with screening early stage ventures. Using data on 652 ventures in high-growth industries, we examine whether experienced entrepreneurs, executives, and investors can predict the outcomes of early stage ventures by reading... View Details
Keywords: Commercialization; Entrepreneurship; Business Startups
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Scott, Erin L., Pian Shu, and Roman M. Lubynsky. "Are 'Better' Ideas More Likely to Succeed? An Empirical Analysis of Startup Evaluation." Harvard Business School Working Paper, No. 16-013, July 2015. (Revised October 2016.)
  • November 2024
  • Article

A National Analysis of General Pediatric Inpatient Unit Closures and Openings, 2011–2018

By: Carolyn San Soucie, Nancy D. Beaulieu, Jason D. Buxbaum, David Cutler, JoAnna K. Leyenaar, Sarah C. McBride, Olivia Zhao and Alyna T. Chien
OBJECTIVES: This paper provides an examination of: (1) the frequency and net rates of change for general pediatric inpatient (GPI) unit closures and openings nationally and by state; (2) how often closures or openings are caused by GPI unit changes only or caused by... View Details
Keywords: Health Industry
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San Soucie, Carolyn, Nancy D. Beaulieu, Jason D. Buxbaum, David Cutler, JoAnna K. Leyenaar, Sarah C. McBride, Olivia Zhao, and Alyna T. Chien. "A National Analysis of General Pediatric Inpatient Unit Closures and Openings, 2011–2018." Hospital Pediatrics 14, no. 11 (November 2024): 899–908.

    Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans

    We estimate a dynamic structural model of sales force response to a bonus based compensation plan. Substantively, the paper sheds insights on how different elements of the compensation plan enhance productivity. We find evidence that: (1) bonuses enhance productivity... View Details
    • 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 2013 (Revised March 2014)
    • Case

    Hubei Lantian (A)

    By: David F. Hawkins, Michael Shih-Ta Chen and Nancy Hua Dai
    Emily Wang, an analyst with Future Securities, a Shanghai-based investment firm, is given the task of making stock purchase recommendations to her supervisor from a number of Chinese common stocks. One stock in particular, Hubei Lantian Co., Ltd. (Hubei Lantian),... View Details
    Keywords: Financial Analysis; Ratio Analysis
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    Hawkins, David F., Michael Shih-Ta Chen, and Nancy Hua Dai. "Hubei Lantian (A)." Harvard Business School Case 113-118, May 2013. (Revised March 2014.)
    • April 2014
    • Teaching Note

    Jiangxi Agribusiness: (TN)

    By: David F. Hawkins
    [TN for 114-039] Emily Wang, an analyst with Future Securities, a Shanghai-based investment firm, is given the task of making stock purchase recommendations to her supervisor from a number of Chinese common stocks. One stock in particular, Jiangxi Agribusiness... View Details
    Keywords: Financial Analysis; Ratio Analysis
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    Hawkins, David F. "Jiangxi Agribusiness: (TN)." Harvard Business School Teaching Note 114-041, April 2014.
    • January 2025
    • Case

    AI Meets VC: The Data-Driven Revolution at Quantum Light Capital

    By: Lauren Cohen, Grace Headinger and Sophia Pan
    Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
    Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
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    Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.
    • 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
    Keywords: Clustering; Data Science; Analytics and Data Science; Customers; Marketing; Analysis
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    Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
    • 2013
    • Tool

    Harvard Business Review's Go to Market Tools: Pricing for Profit

    By: Thomas Steenburgh and Jill Avery
    What price is right? Figuring out the best price for your product or service can be nerve-wracking. Your new product launch or marketing campaign's success—perhaps even your career advancement—may hinge on the price you choose. So how do you select a price that's... View Details
    Keywords: Quantitative Analysis; Tools; Pricing; Profitability Analysis; Pricing Strategy; Marketing Strategy; Marketing
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    Steenburgh, Thomas, and Jill Avery. Harvard Business Review's Go to Market Tools: Pricing for Profit. Tool. Harvard Business Review Press, 2013. Electronic.
    • 01 Nov 2018
    • Working Paper Summaries

    Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

    Keywords: by Xiaojia Guo, Yael Grushka-Cockayne, and Bert De Reyck; Air Transportation; Travel
    • 2013
    • Tool

    Harvard Business Review's Go to Market Tools: Market Sizing

    By: Jill Avery and Thomas Steenburgh
    Market size matters. On the hook to launch your division's next great product or service? Need to convince higher ups that your product will fit that gaping revenue hole—and is worth the team's scarce marketing and product development resources? You need hard data to... View Details
    Keywords: Quantitative Analysis; Tools; Go To Market Strategy; Marketing Strategy; Marketing
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    Avery, Jill, and Thomas Steenburgh. Harvard Business Review's Go to Market Tools: Market Sizing. Tool. Boston, MA, USA: Harvard Business Review Press, 2013. Electronic.
    • 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
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    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.
    • March–April 2014
    • Article

    Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans

    By: Doug J. Chung, Thomas Steenburgh and K. Sudhir
    We estimate a dynamic structural model of sales force response to a bonus based compensation plan. Substantively, the paper sheds insights on how different elements of the compensation plan enhance productivity. We find evidence that: (1) bonuses enhance productivity... View Details
    Keywords: Performance Productivity; Salesforce Management; Compensation and Benefits
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    Chung, Doug J., Thomas Steenburgh, and K. Sudhir. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans." Marketing Science 33, no. 2 (March–April 2014): 165–187. (Lead article. Featured in HBS Working Knowledge.)
    • 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.)
    • 09 Dec 2015
    • Working Paper Summaries

    Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

    Keywords: by Edward L. Glaeser, Scott Duke Kominers, Michael Luca & Nikhil Naik
    • 10 Mar 2010
    • Working Paper Summaries

    A Reexamination of Tunneling and Business Groups: New Data and New Methods

    Keywords: by Jordan I. Siegel & Prithwiraj Choudhury
    • 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
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    Israeli, Ayelet. "Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Spreadsheet Supplement 523-704, July 2022.
    • 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
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    Israeli, Ayelet. "Solution for E-Commerce Analytics for CPG Firms (C): Free Delivery Terms." Harvard Business School Spreadsheet Supplement 523-706, July 2022.
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