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  • All HBS Web  (1,784)
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  • 03 Oct 2017
  • First Look

First Look at Research and Ideas, October 3, 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... View Details
Keywords: by Sean Silverthorne
  • 15 Nov 2016
  • First Look

November 15, 2016

takes a closer look at the implementation of a global job model and how it has enabled the use of data analytics in the human resources function. Purchase this case: https://cb.hbsp.harvard.edu/cbmp/product/417038-PDF-ENG Harvard Business... View Details
Keywords: Sean Silverthorne
  • 24 Jul 2013
  • Op-Ed

Detroit Files for Bankruptcy: HBS Faculty Weigh In

start, locate, or invest in a city. As HBS professor Michael Porter has explained in The Competitive Advantage of Nations, political units—whether nations or cities - are in competition with each other and can control their destiny using the View Details
Keywords: by John Macomber, Robert C. Pozen, Eric D. Werker & Benjamin Kennedy; Auto
  • 01 Jul 2008
  • First Look

First Look: July 1, 2008

development and innovation? Purchase this case: http://harvardbusinessonline.hbsp.harvard.edu/ b01/en/common/item_detail.jhtml?id=308057 TD Canada Trust (A): The Green and the Red Harvard Business School Case 108-005 The case series illustrates the role of performance... View Details
Keywords: Martha Lagace
  • 02 Jul 2001
  • Research & Ideas

George C. Lodge

as a multidisciplinary analytical tool for comparing countries and understanding change within a particular nation. In his award-winning 1975 book, The New American Ideology, and nine years later in The American Disease, Lodge urged... View Details
Keywords: by Staff
  • February 2025
  • Supplement

Intenseye: Powering Workplace Health and Safety with AI (B)

By: Michael W. Toffel, Shane Greenstein and Sadika El Hariri
Intenseye used its $25 million series A funds to refine and expand its digital safety platform while refining its target markets and ideal customer profile. As the company implemented new approaches to create value for its clients, such as developing an AI-powered... View Details
Keywords: Safety Performance; Occupational Safety; Innovation; Safety; Operations; Health; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Supply Chain Management; Performance Improvement; Entrepreneurship; Product Development; Customer Relationship Management; Value Creation; Venture Capital; Growth and Development Strategy; Information Technology Industry; United States; Europe; Middle East; Turkey
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Toffel, Michael W., Shane Greenstein, and Sadika El Hariri. "Intenseye: Powering Workplace Health and Safety with AI (B)." Harvard Business School Supplement 625-025, February 2025.
  • April 2021 (Revised July 2021)
  • Case

StockX: The Stock Market of Things (Abridged)

By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Fashion Industry; North and Central America; United States; Michigan; Detroit
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Farronato, Chiara, John J. Horton, Annelena Lobb, and Julia Kelley. "StockX: The Stock Market of Things (Abridged)." Harvard Business School Case 621-107, April 2021. (Revised July 2021.)
  • 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.)
  • 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
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Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
  • 13 Jul 2010
  • First Look

First Look: July 13

business model. A leader in trade analytics and execution for institutional equity investors, ITG had grown since its establishment in 1987 in step with the dramatic rise in equity trading volumes. During 2009, however, investors curbed... View Details
Keywords: Martha Lagace
  • 09 Oct 2012
  • First Look

First Look: October 9

Abstract Key to the effective use of big data are the analytical professionals known as "data scientists," who can both manipulate large and unstructured data sources and create insights from them. Data scientists are difficult... View Details
Keywords: Sean Silverthorne
  • 16 Aug 2016
  • First Look

August 16, 2016

of its films in-house, and to market them fan-by-fan. Owner Thomas Tull acquires the big-data-in-sports firm started by Matt Marolda and appoints him to run marketing analytics for Legendary. The methods perform well in the motion picture... View Details
Keywords: Sean Silverthorne
  • May 2024
  • Case

Pernod Ricard: Uncorking Digital Transformation

By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney
This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details
Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe
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Bojinov, Iavor, Edward McFowland III, François Candelon, Nikolina Jonsson, and Emer Moloney. "Pernod Ricard: Uncorking Digital Transformation." Harvard Business School Case 624-095, May 2024.
  • September 2010
  • Article

Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?

By: Saravanan Kesavan, Vishal Gaur and Ananth Raman
Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details
Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States
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Kesavan, Saravanan, Vishal Gaur, and Ananth Raman. "Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?" Management Science 56, no. 9 (September 2010): 1519–1533.
  • March 2019
  • Case

HOPI: Turkey's Shopping Companion

By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu
The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer... View Details
Keywords: Loyalty Programs; Multi-vendor Platform; Retail; Big Data; Customer Relationship Management; Mobile and Wireless Technology; Business Model; Analytics and Data Science; Competitive Strategy; Decision Making; Applications and Software; Digital Platforms; Technology Industry; Retail Industry; Turkey
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Gupta, Sunil, Donald Ngwe, and Gamze Yucaoglu. "HOPI: Turkey's Shopping Companion." Harvard Business School Case 519-057, March 2019.
  • August 1995 (Revised August 1995)
  • Case

CIGNA Property and Casualty Reengineering (A)

By: Richard L. Nolan, Donna B. Stoddard, Chiara Francalanci and Elise C Martin
Reengineering was introduced at CIGNA Corp. in 1988. CIGNA entered a second wave reengineering effort through a major project at CIGNA P&C, one of CIGNA's larger businesses. P&C was in financial crisis and as a result brought in a new executive team in 1991 to head the... View Details
Keywords: Transformation; Cost vs Benefits; Design; Growth and Development; Analytics and Data Science; Growth and Development Strategy; Balanced Scorecard; Financial Crisis; Crisis Management; Projects; Information Technology; Insurance Industry
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Nolan, Richard L., Donna B. Stoddard, Chiara Francalanci, and Elise C Martin. "CIGNA Property and Casualty Reengineering (A)." Harvard Business School Case 196-059, August 1995. (Revised August 1995.)
  • 14 Jan 2014
  • First Look

First Look: January 14

following question: how can data and analytic tools be used to create new value? The authors have explored that question with many clients. In their work, they've seen IT create new value in five patterns: using data from sensors in... View Details
Keywords: Sean Silverthorne
  • 08 Jan 2019
  • First Look

New Research and Ideas, January 8, 2019

Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that... View Details
Keywords: Dina Gerdeman
  • 06 Oct 2015
  • First Look

October 6, 2015

demonstrated how influence derives from instrumental agency as well as structural influence, but it has taken an unnecessarily restrictive view of politics and an overly materialist theory of power. Politics are about much more than government policies. In this paper I... View Details
Keywords: Sean Silverthorne
  • 26 Jul 2011
  • First Look

First Look: July 26

suppliers selling substitutable products to a customer that engages in supplier reliability tracking. Using this analytical model, we observe how a supplier's service level performance molds a customer's beliefs as well as how a... View Details
Keywords: Sean Silverthorne
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