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Institute For Strategy & Competitiveness About The Institute Research Areas Research Areas Health Care Competitiveness & Economic Development...
Skip to content The HBS Digital Initiative brings together perspectives across disciplines to help people understand how technology is transforming...
- 2021
- Working Paper
Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors
By: M. Diane Burton, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu and T. Robert Zochowski
Recent years have seen a dramatic increase in the reliance on market-based solutions to social and environmental problems around the world (Barman 2016; Horvath and Powell 2020). The growth of impact investing is a vivid example of this trend and, although there have...
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- May 2021
- Simulation
Customer Compatibility Exercise Application
By: Ryan W. Buell
Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort...
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Keywords:
Customer Compatibility
- May 2021
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
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;
Big Data;
Preference Elicitation;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
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;
Marketing Channels;
Online Advertising;
Online Technology;
Mobile Technology;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- April 2021
- Case
IBM: Design Thinking
By: Srikant M. Datar, Amram Migdal and Paul Hamilton
This case describes the 2012-2020 effort at IBM to implement design thinking throughout the company and hire thousands of designers to serve on every product team alongside technical engineers and developers and product managers. IBM’s design transformation is told...
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Keywords:
Business Ventures;
Business Divisions;
Business Units;
Business Organization;
Change;
Change Management;
Transformation;
Competency and Skills;
Talent and Talent Management;
Design;
Human Resources;
Recruitment;
Selection and Staffing;
Innovation and Invention;
Collaborative Innovation and Invention;
Innovation and Management;
Innovation Strategy;
Jobs and Positions;
Job Design and Levels;
Leading Change;
Management;
Business or Company Management;
Goals and Objectives;
Management Practices and Processes;
Operations;
Product;
Product Design;
Product Development;
Organizations;
Business Processes;
Organizational Change and Adaptation;
Organizational Design;
Organizational Structure;
Strategy;
Adaptation;
Adoption;
Technological Innovation;
Hardware;
Information Technology;
Technology Industry;
Information Technology Industry;
United States
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government...
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- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to 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...
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- March 2021
- Case
Founders Factory
By: Jeffrey F. Rayport and James Barnett
In January 2020, Founders Factory (FF) Executive Chairman Brent Hoberman and CEO Henry Lane Fox were considering FF’s expansion strategy. FF operated as a venture capital (VC) fund built around an accelerator and incubator, and organized around sectors within...
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Keywords:
Entrepreneurship;
Markets;
Planning;
Expansion;
Global Range;
Business Model;
Talent and Talent Management;
Experience and Expertise;
Corporate Entrepreneurship;
Global Strategy;
Innovation Strategy;
Growth and Development Strategy;
Management Teams;
Organizational Change and Adaptation;
Partners and Partnerships;
Online Technology;
Mobile Technology;
Technology Industry;
Africa;
South Africa;
Johannesburg;
Europe;
France;
Paris;
United Kingdom;
England;
London;
United States;
New York (city, NY)
- February 2021
- Case
Digital Manufacturing at Amgen
By: Shane Greenstein, Kyle 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...
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Keywords:
Digital Technologies;
Change;
Change Management;
Decision Making;
Cost vs Benefits;
Decisions;
Information;
Data and Data Sets;
Innovation and Invention;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Technological Innovation;
Jobs and Positions;
Knowledge;
Leadership;
Organizational Culture;
Science;
Strategy;
Technology;
Technology Adoption;
Biotechnology Industry;
Pharmaceutical Industry;
United States;
California;
Puerto Rico;
Rhode Island
- January 2021
- Case
Anodot: Autonomous Business Monitoring
By: Antonio Moreno and Danielle Golan
Autonomous business monitoring platform Anodot leveraged machine learning to provide 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 March 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...
View Details
Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
Digital Marketing;
E-commerce;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
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;
Marketing Channels;
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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- November 2020 (Revised March 2021)
- Case
Dell Technologies: Bringing the Cloud to the Ground
By: Navid Mojir and V. Kasturi Rangan
The case tells the story of Dell Technologies and its efforts to revitalize its value proposition and escape a commodity trap by acquiring EMC for $67 billion—the largest tech acquisition in history. It also shows the deeply intertwined connections between a company’s...
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- September 2020 (Revised April 2021)
- 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 (Revised April 2021)
- 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 (Revised April 2021)
- 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 (Revised March 2021)
- 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