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  • All HBS Web  (7,164)
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  • May 2018
  • Case

The Multiple Myeloma Research Foundation's Answer Fund

By: Richard G. Hamermesh and Matthew G. Preble
Keywords: Data Analytics; Customer Focus and Relationships; Customer Relationship Management; Cost vs Benefits; Investment Return; Health Care and Treatment; Innovation Leadership; Intellectual Property; Knowledge Sharing; Knowledge Dissemination; Leadership; Leading Change; Resource Allocation; Goals and Objectives; Marketing Communications; Performance; Programs; Projects; Business and Community Relations; Business and Stakeholder Relations; Networks; Partners and Partnerships; Research and Development; Genetics; Behavior; Motivation and Incentives; Social and Collaborative Networks; Nonprofit Organizations; Strategy; Health Industry; Pharmaceutical Industry; Biotechnology Industry; United States
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Hamermesh, Richard G., and Matthew G. Preble. "The Multiple Myeloma Research Foundation's Answer Fund." Harvard Business School Case 818-045, May 2018.
  • 2008
  • Conference Presentation

Analyzing and Using Data From Global Positioning Systems and Digital Imagery in Mathematics Courses

By: F. Wattenberg, K. Erickson, J. Helms, K. DeGregory and Hise O. Gibson
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Wattenberg, F., K. Erickson, J. Helms, K. DeGregory, and Hise O. Gibson. "Analyzing and Using Data From Global Positioning Systems and Digital Imagery in Mathematics Courses." Paper presented at the 20th International Conference for Technology in Collegiate Mathematics (ICTCM), San Antonio, TX, 2008.
  • 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
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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

Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute

By: Josh Lerner and Leslie Jeng
Private markets are becoming an increasingly important way of financing rapidly growing and mature firms, and private investors are reputed to have far-reaching economic impacts. These important markets, however, are uniquely difficult to study. This paper explores... View Details
Keywords: Analytics and Data Science; Research; Entrepreneurship; Private Sector
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Lerner, Josh, and Leslie Jeng. "Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 157–160.
  • 2003
  • Working Paper

The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies

By: Raghuram G. Rajan and Julie Wulf
Using a detailed database of managerial job descriptions, reporting relationships, and compensation structures in over 300 large U.S. firms, we find that firm hierarchies are becoming flatter. The number of positions reporting directly to the CEO has gone up... View Details
Keywords: Organizational Structure; Managerial Roles; Jobs and Positions; United States
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Rajan, Raghuram G., and Julie Wulf. "The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies." NBER Working Paper Series, No. 9633, April 2003. (Published in Review of Economics & Statistics 2006.)
  • November 2006
  • Article

The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies

By: Raghuram G. Rajan and Julie Wulf
Using a detailed database of managerial job descriptions, reporting relationships, and compensation structures in over 300 large U.S. firms, we find that firm hierarchies are becoming flatter. The number of positions reporting directly to the CEO has gone up... View Details
Keywords: Geographic Location; Change; Business Ventures; Compensation and Benefits; Rank and Position; Wages; Motivation and Incentives; Organizational Change and Adaptation; Jobs and Positions; United States
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Rajan, Raghuram G., and Julie Wulf. "The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies." Review of Economics and Statistics 88, no. 4 (November 2006): 759–773.
  • 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.)
  • August 2019 (Revised February 2020)
  • Teaching Note

Sidewalk Labs: Privacy in a City Built from the Internet Up

By: Leslie John and Mitch Weiss
Email mking@hbs.edu for a courtesy copy.

The case serves as a microcosm of issues of digital privacy: the availability of data – personal data in particular – has tremendous potential to improve people’s lives... View Details
Keywords: Privacy; Privacy By Design; Privacy Regulation; Platforms; Data; Data Security; Behavioral Science; Analytics and Data Science; Safety; Entrepreneurship; Business and Government Relations; Consumer Behavior; Digital Platforms
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John, Leslie, and Mitch Weiss. "Sidewalk Labs: Privacy in a City Built from the Internet Up." Harvard Business School Teaching Note 820-023, August 2019. (Revised February 2020.) (Email mking@hbs.edu for a courtesy copy.)
  • August 2017 (Revised July 2019)
  • Case

GROW: Using Artificial Intelligence to Screen Human Intelligence

By: Ethan Bernstein, Paul McKinnon and Paul Yarabe
Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro... View Details
Keywords: Big Data; Artificial Intelligence; Talent and Talent Management; Recruitment; Selection and Staffing; Human Resources; Information Technology; AI and Machine Learning; Analytics and Data Science; Financial Services Industry; Air Transportation Industry; Advertising Industry; Manufacturing Industry; Technology Industry; Japan
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Bernstein, Ethan, Paul McKinnon, and Paul Yarabe. "GROW: Using Artificial Intelligence to Screen Human Intelligence." Harvard Business School Case 418-020, August 2017. (Revised July 2019.)
  • 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
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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.
  • 2004
  • Case

Learning to Manage with Data in Duval County Public Schools: Lake Shore Middle School (B)

By: Allen Grossman, James P. Honan and Caroline Joan King
Keywords: Middle School Education; Management Skills; Florida
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Grossman, Allen, James P. Honan, and Caroline Joan King. "Learning to Manage with Data in Duval County Public Schools: Lake Shore Middle School (B)." Harvard Business School Publishing Case, 2004.
  • January 2021
  • Supplement

E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

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); Online Channel; Retail; Retail Analytics; Retailing Industry; Data; Data Sharing; Ecommerce; Assortment Optimization; Assortment Planning; Analytics and Data Science; Retention; Retail Industry; Consumer Products Industry; United States
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Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer." Harvard Business School Spreadsheet Supplement 521-713, January 2021.
  • December 2022 (Revised January 2025)
  • Case

Akooda: Charging Toward Operational Intelligence

By: Christopher Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
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Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
  • February 2013
  • Case

Recorded Future: Analyzing Internet Ideas About What Comes Next

Recorded Future is a "big data" startup company that uses Internet data to make predictions about events, people, and entities. The company primarily serves government intelligence agencies, but has some private sector clients and is considering taking on more. The... View Details
Keywords: Big Data; Analytics; Internet; Analytics and Data Science; Internet and the Web; Entrepreneurship; Forecasting and Prediction; Business Startups; Information Technology Industry
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Davenport, Thomas H. "Recorded Future: Analyzing Internet Ideas About What Comes Next." Harvard Business School Case 613-083, February 2013.
  • February 2006
  • Article

Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data

By: Lee G. Branstetter, Raymond Fisman and C. Fritz Foley
Keywords: Intellectual Property; Rights; Information Technology; Information; Analytics and Data Science; United States
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Branstetter, Lee G., Raymond Fisman, and C. Fritz Foley. "Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data." Quarterly Journal of Economics 121, no. 1 (February 2006): 321–349.
  • August 2021
  • Article

Multiple Imputation Using Gaussian Copulas

By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
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Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
  • 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.)
  • Forthcoming
  • Article

Corporate Alignment with the EU Taxonomy for Sustainable Activities: First Evidence from Financial Accounting Data

By: Alex Cheema-Fox, Megan Czasonis, Piyush Kontu and George Serafeim
What is sustainable? This question is of paramount importance given the trillions of assets invested according to different sustainability criteria. While until now we have had no standard for answering this question, the European Union's (EU) Taxonomy for sustainable... View Details
Keywords: Financial Accounting; Capital Expenditures; Revenues; Sustainability; Regulation; Accounting; Finance; Climate Change; Europe; European Union
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Cheema-Fox, Alex, Megan Czasonis, Piyush Kontu, and George Serafeim. "Corporate Alignment with the EU Taxonomy for Sustainable Activities: First Evidence from Financial Accounting Data." Journal of Applied Corporate Finance (forthcoming).
  • 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
Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
  • November 5, 2021
  • Article

Leaders: Stop Confusing Correlation with Causation

By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide... View Details
Keywords: Behavioral Economics; Data Analysis; Organizations; Decision Making; Analytics and Data Science; Analysis; Learning
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Luca, Michael. "Leaders: Stop Confusing Correlation with Causation." Harvard Business Review Digital Articles (November 5, 2021).
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