Publications

June 2024
Article

Oral History and Business History in Emerging Markets

By: Geoffrey Jones

This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183... View Details

Keywords: Emerging Economies; Oral History; Emerging Markets; Business History; Research

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

2020
Working Paper

Design in the Age of Artificial Intelligence

By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti

Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details

Keywords: Artificial Intelligence; Design Thinking; Technological Innovation; Design; Change; Theory; AI and Machine Learning

15 Oct 2001
Op-Ed

Lessons from the Rubble

Pundits and investors spoke giddily of the end of national borders, of markets that spanned the globe and replaced the hefty weight of machines and plants with ephemeral bits of information. This may be true. We do have global markets and... View Details

Keywords: by Debora L. Spar

2021
Working Paper

An Empirical Study of Time Allotment and Delays in E-commerce Delivery

By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein

Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details

Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity

SSRN

22 Oct 2007
Research & Ideas

Bringing ‘Lean’ Principles to Service Industries

own." Unfortunately, lean's prevalence has led to some misconceptions. "Some people think lean means 'not fat,' as in laying people off," Upton says, noting that in their paper they propose that the difference in a lean operating system comes from how it... View Details

Keywords: by Julia Hanna; Computer

Winter 2016
Article

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi

We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details

Keywords: Internet and the Web; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry

June 2020
Article

Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha

By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details

Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers

2020
Book

Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

By: Marco Iansiti and Karim R. Lakhani

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very... View Details

Keywords: Artificial Intelligence; Technological Innovation; Change; Competition; Strategy; Leadership; Business Processes; Organizational Change and Adaptation; AI and Machine Learning

2023
Other Article

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber

Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details

Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science

September–October 2023
Article

Reskilling in the Age of AI

By: Jorge Tamayo, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic and Raffaella Sadun

In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and... View Details

Keywords: Competency and Skills; AI and Machine Learning; Training; Adaptation; Employees; Digital Transformation

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September 2023 (Revised April 2024)
Case

Atomwise: Strategic Opportunities in AI for Pharma

By: Satish Tadikonda

Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details

Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry

06 Jun 2017
First Look

First Look at New Research and Ideas: June 6, 2017

recent years, a number of new and exciting tools enabled by advances in telework, machine learning, and other approaches had emerged. Hirshfeld hoped to maximize these tools’ utility in order to enhance patent examiners’ work and... View Details

Keywords: Sean Silverthorne

08 Mar 2011
First Look

First Look: March 8

relocate to Japan and compete with other world-class international business schools. Purchase this case:http://cb.hbsp.harvard.edu/cb/product/811061-PDF-ENG The Wright Brothers and Their Flying Machines Tom Nicholas and David ChenHarvard... View Details

Keywords: Sean Silverthorne

Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods

2023
Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan

he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details

Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing

09 Mar 2016
Lessons from the Classroom

In This Classroom, Beer Can Improve Your Grade

simulations, but Strategic Brew stands alone in scope. All 940 first-year students play the game simultaneously as part of the required Strategy course. Roughly 40 faculty and project members manage and supervise the events. “It’s a... View Details

Keywords: by Roberta Holland; Education; Food & Beverage

March 2021
Case

VideaHealth: Building the AI Factory

By: Karim R. Lakhani and Amy Klopfenstein

Florian Hillen, co-founder and CEO of VideaHealth, a startup that used artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. A process for quickly building and iterating on new... View Details

Keywords: Artificial Intelligence; Innovation and Invention; Disruptive Innovation; Technological Innovation; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Entrepreneurship; AI and Machine Learning; Technology Industry; Medical Devices and Supplies Industry; North and Central America; United States; Massachusetts; Cambridge

2019
Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills

Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details