Publications

May 2017 (Revised March 2018)
Case

Predicting Consumer Tastes with Big Data at Gap

By: Ayelet Israeli and Jill Avery

CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details

March 2017
Supplement

Donna Dubinsky, Numenta and Artificial Intelligence

By: David B. Yoffie

Donna Dubinsky, CEO of Numenta, discusses her views of the future of artificial intelligence and the strategic challenges of building a new platform. View Details

Keywords: Artificial Intelligence; Strategy; Technological Change; AI and Machine Learning; Technology Industry

January 2017 (Revised March 2017)
Case

IBM Transforming, 2012–2016: Ginni Rometty Steers Watson

By: Rosabeth Moss Kanter and Jonathan Cohen

To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and... View Details

Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning

June 2016 (Revised August 2019)
Case

Numenta: Inventing and (or) Commercializing AI

By: David B. Yoffie, Liz Kind and David Ben Shimol

In March 2016, Donna Dubinsky (co-founder and CEO) and Jeff Hawkins (co-founder) were struggling with a key question: Could Numenta be successful in both creating fundamental technology and building a commercial business? Located in Redwood City, CA, Numenta was... View Details

Keywords: Artificial Intelligence; Machine Intelligence; Machine Learning; Strategy; Business Model; Entrepreneurship; Information; Technological Innovation; Research; Research and Development; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Commercialization; AI and Machine Learning

2024
Working Paper

Transforming the Federal Bureau of Investigation: Outcome and Process Framing

By: Ryan Raffaelli, Tiona Zuzul, Ranjay Gulati and Jan Rivkin

This twelve-year qualitative study examines how Director Robert Mueller and his senior team profoundly transformed the United States Federal Bureau of Investigation (FBI) after the 9/11 terrorist attacks. Drawing on 138 interviews within the FBI and Mueller’s... View Details

Keywords: Mission and Purpose; Transformation; Government and Politics; Organizational Change and Adaptation

October 2015 (Revised October 2016)
Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. Shih

This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details

Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States

March 2010
Case

Federal Bureau of Investigation, 2007

By: Jan W. Rivkin, Michael Roberto and Ranjay Gulati

In the wake of the 9/11 terrorist attacks, Robert Mueller, the Director of the Federal Bureau of Investigation (FBI), sought to transform the storied Bureau. The FBI had long served as both the chief law enforcement agency and the main domestic intelligence wing of the... View Details

Keywords: Transformation; Organizational Structure; Organizational Change and Adaptation; Government Administration; National Security; Corporate Strategy; Knowledge Acquisition; Law Enforcement; Public Administration Industry; United States

August 2005 (Revised September 2006)
Case

Polyphonic HMI: Mixing Music and Math

By: Anita Elberse, Jehoshua Eliashberg and Julian Villanueva

In 2003, Mike McCready, CEO of Barcelona-based Polyphonic HMI, was preparing to launch an artificial intelligence tool that could create significant value for music businesses. The technology, referred to as Hit Song Science (HSS), analyzed the mathematical... View Details

Keywords: Forecasting and Prediction; Music Entertainment; Business History; Leadership; Marketing Strategy; Strategic Planning; Problems and Challenges; Mathematical Methods; Entertainment and Recreation Industry

September 1997 (Revised May 1999)
Case

Automated Intelligence Corporation

By: James K. Sebenius and David T. Kotchen

Precision Controls is a Minnesota-based manufacturer of electronic control devices. To enhance its product line, Precision would like to establish an artificial intelligence research group, either through internal development or, preferably, by merging with or... View Details

Keywords: Information Technology; Valuation; Research and Development; Stock Shares; Negotiation Process; Negotiation Tactics; Mergers and Acquisitions; Manufacturing Industry; Electronics Industry; Minnesota

September 1997 (Revised May 1999)
Case

Precision Controls, Inc.

By: James K. Sebenius and David T. Kotchen

Precision Controls is a Minnesota-based manufacturer of electronic control devices. To enhance its product line, Precision would like to establish an artificial intelligence research group, either through internal development or, preferably, by merging with or... View Details

Keywords: Information Technology; Valuation; Research and Development; Negotiation Process; Stock Shares; Negotiation Tactics; Mergers and Acquisitions; Manufacturing Industry; Electronics Industry; Minnesota

Find at Harvard

Research Summary

Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success

By: Karen Mills

Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details

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

Teaching Interest

Overview

By: Mitchell B. Weiss

Public entrepreneurship, entrepreneurship, leadership, business and government, cities, artificial intelligence View Details

Keywords: Public Entrepreneurship; Leadership; Business And Government; Artificial Intelligence; Entrepreneurship; Innovation and Invention; Innovation Leadership; Collaborative Innovation and Invention; Public Sector; City; AI and Machine Learning

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

Research Summary

Overview

By: Roberto Verganti

Roberto’s research focuses on how to create innovations that are meaningful for people, for society, and for their creators. He explores how leaders and organizations generate radically new visions, and make those visions come real. His studies lie at the intersection... View Details

Keywords: Integrated Design; Strategy; Design Thinking; Innovation; Artificial Intelligence; Design; Technology; Leadership; Innovation Strategy

Research Summary

Overview

By: Himabindu Lakkaraju

I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:

1. How to build... View Details

Keywords: Artificial Intelligence; Machine Learning; Decision Analysis; Decision Support

Research Summary

Overview

By: John A. Deighton

Professor Deighton conducts research at the intersection of information technology and marketing. He is interested in the complementary uses of human and artificial intelligence and creativity in areas such as advertising, content creation, and online retailing. He... View Details

Keywords: Marketing; Media; Information Technology; Advertising Industry; Communications Industry; Consumer Products Industry; Information Technology Industry; Telecommunications Industry; Publishing Industry; North and Central America; Asia; Europe

Research Summary

Overview

By: Ayelet Israeli

Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details

Keywords: Channel Management; Pricing; Pricing Policies; Online Marketing; E-commerce; Analytics; Econometrics; Field Experiments; Data Analytics; Artificial Intelligence; Value Of Data

Forthcoming
Article

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez

Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details

Keywords: Prejudice and Bias; Gender; Training; Recruitment; Personal Development and Career