Publications

May 2022 (Revised June 2024)
Case

LOOP: Driving Change in Auto Insurance Pricing

By: Elie Ofek and Alicia Dadlani

John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing... View Details

Keywords: AI and Machine Learning; Technological Innovation; Equality and Inequality; Prejudice and Bias; Growth and Development Strategy; Customer Relationship Management; Price; Insurance Industry; Financial Services Industry

17 Apr 2019
Research & Ideas

How Managers Stifle Creativity

our own limited intelligence, it can be very positive. Each one of us has great brain power, but it's limited in certain ways. It's very hard for us to look at massive amounts of data and detect patterns, for example, but View Details

Keywords: by Danielle Kost

01 Oct 2012
Research & Ideas

Better by the Bundle?

over time, especially if you're a monopolist." And in fact, there may be other factors that tempt consumers to hold off on purchasing a new product. For example, people who bought video game machines when... View Details

Keywords: by Dina Gerdeman

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

October 2021 (Revised September 2022)
Case

SmartOne: Building an AI Data Business

By: Karim R. Lakhani, Pippa Armerding, Gamze Yucaoglu and Fares Khrais

The case opens in August 2021, as Habib and Shahysta Hassim, husband and wife co-founders of the data labeling company SmartOne, contemplate the strategy of the high growth company. Between 2016 and 2021, SmartOne had kept doubling its size every two years and now,... View Details

Keywords: Artificial Intelligence; Data Labeling; Entrepreneurship; Strategy; Operations; Business Model; Growth Management; Growth and Development Strategy; AI and Machine Learning; Africa; Madagascar; Europe; France; United States

30 Oct 2017
Research & Ideas

Asking Questions Can Get You a Better Job or a Second Date

hand-labeled six different types of questions: introductory, mirror, full-switch, partial-switch, follow-up, and rhetorical questions. Forty-four percent of the questions—more than any other type—were follow-ups. Based on the hand-labeled... View Details

Keywords: by Rachel Layne

01 Jun 2023
News

Curb Appeal

York’s Finest from paper logs to digital apps and implemented tools like ShotSpotter, an audio gunshot-detection system, and the Domain Awareness System, a video surveillance platform that uses View Details

Keywords: Alexander Gelfand; photography by Vance Jacobs; Justice, Public Order, and Safety Activities; Justice, Public Order, and Safety Activities

Web

Health Care - Faculty & Research

, Maria P. Roche and Kairavi Dey March 2025 | Case | Faculty Research Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device View Details

June 2023 (Revised July 2023)
Case

Social Media Background Screening at Fama Technologies

By: Joseph Pacelli, Jillian Grennan and Alexis Lefort

Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details

Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; AI and Machine Learning; Social Media; Venture Capital; Entrepreneurship; United States

Web

Business History - Faculty & Research

emerging markets. Multiple methodologies have been employed including coding and the application of machine learning to undertake facial and text analysis of CEM interviews.... View Details

15 Apr 2015
Research & Ideas

Why Americans Voted for an Income Tax

We can be forgiven, especially this time of year, for questioning a decision our predecessors made just over a century ago. In the 1910s, Americans decided to make personal and corporate income taxes a permanent feature of the United... View Details

Keywords: by Matthew C. Weinzierl

March 2023 (Revised March 2025)
Case

Accelerating AI Adoption in the U.S. Air Force

By: Maria P. Roche and Alexander Farrow

In August 2022, the Pentagon tasked U.S. Air Force Captain Victor Lopez to launch a new office for AFWERX, an Air Force innovation unit that leveraged commercial developers and military talent to acquire advanced technologies. This task was particularly arduous because... View Details

Keywords: Technological Innovation; Organizational Design; AI and Machine Learning; Adoption; Technology Adoption; United States

24 Jan 2005
Research & Ideas

Rethinking Activity-Based Costing

machine is available to work 40 hours per week, its practical full capacity is 32 to 35 hours per week. Typically, managers would allot a lower rate—say 80 percent—to people, allowing 20 percent of their time for breaks, arrival View Details

Keywords: by Robert S. Kaplan & Steven R. Anderson

April 2022
Article

AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care

By: Ariel Dora Stern, Avi Goldfarb, Timo Minssen and W. Nicholson Price II

Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those... View Details

Keywords: Artificial Intelligence; Medicine; Health Care and Treatment; Legal Liability; Insurance; Technology Adoption; AI and Machine Learning