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Skip to content The HBS Digital Initiative brings together perspectives across disciplines to help people understand how technology is transforming...
Skip to content The HBS Digital Initiative brings together perspectives across disciplines to help people understand how technology is transforming...
- January 2021
- Case
Anodot: Autonomous Business Monitoring
By: Antonio Moreno and Danielle Golan
Autonomous business monitoring platform Anodot leveraged machine learning to providing real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product...
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- January 2021 (Revised January 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
data;
Data Analytics;
Artificial Intelligence;
Ai;
Ai Algorithms;
Ai Creativity;
Fashion;
Retail;
Retail Analytics;
Digital Marketing;
E-commerce;
E-commerce Strategy;
Platform;
Platforms;
Marketing Strategy;
Brands And Branding;
Consumer Behavior;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
Marketing Channels;
＂marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Online Advertising;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
data And data Sets;
Analysis;
Creativity;
Marketing strategy;
Brands And Branding;
Consumer Behavior;
Demand And Consumers;
Forecasting And Prediction;
Online Advertising;
Online Technology;
Mobile Technology;
Fashion Industry;
Retail Industry;
Apparel And Accessories Industry;
Consumer Products Industry;
United States
- January 2021
- Case
Digital Transformation 2.0: CEO Elie Girard at Atos
By: Tsedal Neeley and James Barnett
Elie Girard has taken the helm as CEO of Atos—multinational IT giant—to lead the company into the next era of digital transformation. Noticing that customers’ digital needs were evolving to become even more specialized and global in scope, he made a bold first step as...
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- January–February 2021
- Article
Compensation Packages That Actually Drive Performance
By: Boris Groysberg, Sarah Abbott, Michael R. Marino and Metin Aksoy
By aligning executives’ financial incentives with company strategy, a firm can inspire its management to deliver superior results. But it can be hard to get pay packages right. In this article four experts break down the key elements of compensation and explain how to...
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- 2020
- Working Paper
The Evolutionary Nature of Breakthrough Innovation: Re-Evaluating the Exploration vs. Exploitation Dichotomy
By: Dominika K. Sarnecka and Gary P. Pisano
Over the past few decades, a consensus has emerged that breakthrough innovations emerge from exploration of novel terrain while more routine innovations are the product of exploitation. In this paper, we revisit this explore versus exploit dichotomy with an analysis...
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- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to...
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- 2020
- Working Paper
Social Influence in the COVID-19 Pandemic: Community Establishments’ Closure Decisions Follow Those of Nearby Chain Establishments
By: Abhishek Nagaraj, Mathijs de Vaan, Saqib Mumtaz and Sameer Srivastava
As conveners that bring various stakeholders into the same physical space, firms can powerfully influence the course of pandemics such as COVID-19. Even when operating under government orders and health guidelines, firms have considerable discretion to keep their...
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- September 2020 (Revised December 2020)
- Exercise
Artea: Designing Targeting Strategies
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...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
＂marketing Analytics＂;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analytics;
Data Analysis;
E-commerce;
E-commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Targeting;
Pricing Algorithms;
A/b Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
Retail Industry;
Apparel And Accessories Industry;
United States
- September 2020
- Exercise
Artea (B): Including Customer-level Demographic Data
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...
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- September 2020
- Exercise
Artea (C): Potential Discrimination through Algorithmic 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...
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- September 2020
- 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...
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- September 2020 (Revised December 2020)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. 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...
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- September 2020 (Revised December 2020)
- 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...
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- 2020
- Working Paper
Where the Cloud Rests: The Economic Geography of Data Centers
By: Shane Greenstein and Tommy Pan Fang
This study provides an analysis of the entry strategies of third-party data centers in the United States, an industry with assets worth hundreds of billions of dollars. We examine the market in 2018 and 2019, and compare with the physical entry of private data centers...
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- 2020
- Working Paper
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...
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- July 2020
- Case
Amanda and Kristen: Mented Cosmetics
By: Steven Rogers, Jeffrey J. Bussgang and Alterrell Mills
The co-founders (Black HBS alumnae) of an e-commerce beauty startup explore the unmet needs within the beauty industry. This case study examines the entrepreneurial opportunities that come from identifying an underserved market, specifically within the Black community...
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Keywords:
Brands And Branding;
Competition;
Customers;
Disruption;
Disruptive Innovation;
Distribution Channels;
Entrepreneurship;
Finance;
Macroeconomics;
Marketing;
Marketing Channels;
Marketing Communications;
Marketing strategy;
Mission And Purpose;
Organizational Culture;
Product Design;
Product Development;
Product Positioning;
Sales;
Social Issues;
Social Marketing;
Business Startups;
Strategic Planning;
strategy;
Supply Chain Management;
Venture Capital;
Advertising Industry;
Public Relations Industry;
Chemical Industry;
Beauty And Cosmetics Industry;
Manufacturing Industry;
Retail Industry;
North And Central America;
United States;
New York (city, Ny);
New York (state, Us)
- June 2020
- Background Note
Customer Management Dynamics and Cohort Analysis
By: Elie Ofek, Barak Libai and Eitan Muller
The digital revolution has allowed companies to amass considerable amounts of data on their customers. Using this information to generate actionable insights is fast becoming a critical skill that firms must master if they wish to effectively compete and win in today’s...
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- 2020
- Article
A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?
By: Doug J. Chung, Byungyeon Kim and Niladri B. Syam
Personal selling represents one of the most important elements in the marketing mix, and appropriate management of the sales force is vital to achieving the organization’s objectives. Among the various instruments of sales management, compensation plays a pivotal role...
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- May 2020
- Article
How Quantitative Easing Works: Evidence on the Refinancing Channel
By: Marco Di Maggio, Amir Kermani and Christopher Palmer
We document the transmission of large-scale asset purchases by the Federal Reserve to the real economy using rich borrower-linked mortgage-market data and an identification strategy based on mortgage market segmentation. We find that central bank QE1 MBS purchases...
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Keywords:
Monetary Policy;
Mbs;
Quantitative Easing;
Lsap;
Refinancing;
Deleveraging;
Harp;
Gse;
Central Banking;
Global Range;
Financing And Loans;
Credit;
United States
- April 2020 (Revised May 2020)
- Case
NTT DOCOMO's Race to 5G
By: Juan Alcacer, Horst Melcher and Akiko Kanno
The case, based on extensive interviews with NTT DOCOMO’s technology leaders, focuses on the opportunities and challenges that NTT DOCOMO faces with the launch of infrastructure and services for 5G wireless telecommunication technology. With higher data rates and...
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