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  • 28 Nov 2018
  • HBS Case

On Target: Rethinking the Retail Website

Professor Srikant M. Datar in a recent case study, Data Science at Target, co-written with research associate Caitlin N. Bowler. “Target had to make this big shift from thinking only about retailing to also... View Details
Keywords: by Dina Gerdeman; Retail
  • 05 Nov 2007
  • Research & Ideas

The Changing Face of American Innovation

science and engineering workforce and nearly 50 percent of those with science and engineering doctorates. And at the Ph.D. level, ethnic researchers make an exceptional contribution to View Details
Keywords: by Sarah Jane Gilbert; Technology
  • 08 Jun 2010
  • First Look

First Look: June 8

  PublicationsThe New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance Authors:Marshall Fisher and Ananth Raman Publication:Harvard Business School Press, 2010 Abstract Retailers today are... View Details
Keywords: Martha Lagace
  • February 2024
  • Teaching Note

AB InBev: Brewing Up Forecasts during COVID-19

By: Mark Egan and C. Fritz Foley
Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a... View Details
Keywords: Forecasting; Investor Relations; Beverage Industry; Corporate Finance; Decisions; Forecasting and Prediction; Health Pandemics; Analytics and Data Science; Digital Transformation; Crisis Management; Business Model; Food and Beverage Industry; United States; Europe
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Egan, Mark, and C. Fritz Foley. "AB InBev: Brewing Up Forecasts during COVID-19." Harvard Business School Teaching Note 224-074, February 2024.
  • June 2010
  • Article

What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns

By: Glenn Ellison, Edward Glaeser and William R. Kerr
Why do firms cluster near one another? We test Marshall's theories of industrial agglomeration by examining which industries locate near one another, or coagglomerate. We construct pairwise coagglomeration indices for US manufacturing industries from the Economic... View Details
Keywords: Production; Economics; Industry Clusters; Analytics and Data Science; Labor; Theory; Goods and Commodities; United States; United Kingdom
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Ellison, Glenn, Edward Glaeser, and William R. Kerr. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns." American Economic Review 100, no. 3 (June 2010): 1195–1213.
  • March 2024
  • Case

Madrigal: Conducting a Customer-Base Audit

By: Eva Ascarza, Bruce Hardie, Michael Ross and Peter S. Fader
This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Customer Value and Value Chain; Retail Industry; United States
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Ascarza, Eva, Bruce Hardie, Michael Ross, and Peter S. Fader. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Case 524-046, March 2024.
  • 27 Oct 2009
  • First Look

First Look: October 27

survey data from India and Indonesia, we first show that financial literacy is a powerful predictor of demand for financial services. To test the relative importance of literacy and price, we implement a field experiment, offering... View Details
Keywords: Martha Lagace
  • 2020
  • Working Paper

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
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Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
  • 21 Jul 2021
  • Research & Ideas

What Does an ESG Score Really Say About a Company?

Receiving more information can clarify the complex, but not when it comes to environmental, social, and governance (ESG) scores. A recent study shows that the more information a company discloses about its ESG practices, the more rating agencies disagree on how well... View Details
Keywords: by Kristen Senz
  • March 2024
  • Supplement

Madrigal: Conducting a Customer-Base Audit

By: Eva Ascarza, Peter Fader, Bruce G.S. Hardie and Michael Ross
This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States
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Ascarza, Eva, Peter Fader, Bruce G.S. Hardie, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School PowerPoint Supplement 524-068, March 2024.
  • Research Summary

Overview

By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
  • 13 Feb 2018
  • First Look

New Research and Ideas, February 13, 2018

https://www.hbs.edu/faculty/Pages/item.aspx?num=53894 forthcoming Human Resource Management Review Developing Strategic Human Resource Theory and Making a Difference: An Action Science Perspective By: Beer, Michael Abstract—No abstract... View Details
Keywords: Sean Silverthorne
  • 14 Jan 2008
  • Research & Ideas

Mapping Polluters, Encouraging Protectors

and interpreting data about industrial environment performance because it brings together information about companies' environmental management, provided voluntarily by managers in real time, with companies' pollution View Details
Keywords: by Martha Lagace; Manufacturing; Chemical
  • 17 Mar 2008
  • Research & Ideas

The Lessons of Business History: A Handbook

generated rich empirical data that in some cases confirms and in other cases contradicts many of today's fashionable theories and assumptions by other disciplines, says Harvard Business School professor Geoffrey Jones, who edited the... View Details
Keywords: by Sean Silverthorne
  • 26 Jul 2023
  • Research & Ideas

STEM Needs More Women. Recruiters Often Keep Them Out

could be understood as male or female and analyzed intake data collected on the program’s webpage about the prospects’ credentials, including level of education and current job. Recruiters were paid a salary and given a weekly volume... View Details
Keywords: by Rachel Layne
  • 2022
  • Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
  • 02 Jan 2024
  • What Do You Think?

Do Boomerang CEOs Get a Bad Rap?

Carolina to support their claim. The Bingham study analyzed data for 6,429 CEOs of S&P 1,500 index firms from 1992 to 2017. Among these were 438 boomerang CEOs with more than a year out of office between stints as CEO; 193 of these... View Details
Keywords: by James Heskett
  • 14 Jul 2009
  • First Look

First Look: July 14

http://www.hbs.edu/research/pdf/09-148.pdf   PublicationsOpen to Negotiation: Phenomenological Assumptions and Knowledge Dissemination Authors:Corinne Bendersky and Kathleen L. McGinn Publication:Organization Science (forthcoming)... View Details
Keywords: Martha Lagace
  • November–December 2023
  • Article

Look the Part? The Role of Profile Pictures in Online Labor Markets

By: Isamar Troncoso and Lan Luo
Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"... View Details
Keywords: Freelancers; Gig Workers; Demographics; Prejudice and Bias; Selection and Staffing; Jobs and Positions; Analytics and Data Science
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Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
  • February 2021
  • Case

Digital Manufacturing at Amgen

By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This case discusses efforts made by biotechnology (biotech) company Amgen to introduce digital technologies into its manufacturing processes. Doing so is complicated by the fact that the process for manufacturing biologics—or therapeutics made from living cells—is... View Details
Keywords: Digital Technologies; Change; Change Management; Decision Making; Cost vs Benefits; Decisions; Information; Analytics and Data Science; Innovation and Invention; Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Jobs and Positions; Knowledge; Leadership; Organizational Culture; Science; Strategy; Information Technology; Technology Adoption; Biotechnology Industry; Pharmaceutical Industry; United States; California; Puerto Rico; Rhode Island
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Greenstein, Shane, Kyle R. Myers, and Sarah Mehta. "Digital Manufacturing at Amgen." Harvard Business School Case 621-008, February 2021.
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