Publications

August 2024
Case

DBS' AI Journey

By: Feng Zhu, Harold Zhu and Adina Wong

Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers.... View Details

Keywords: Corporate Governance; AI and Machine Learning; Digital Transformation; Risk Management; Value Creation; Banking Industry; Financial Services Industry; Asia; Singapore

May–June 2024
Article

Should Your Brand Hire a Virtual Influencer?

By: Serim Hwang, Shunyuan Zhang, Xiao Liu and Kannan Srinivasan

Followers respond more favorably to sponsored posts by virtual influencers versus those by humans, costs are lower, and creating an influencer from scratch allows marketers to introduce more diversity. View Details

Keywords: Social Media; AI and Machine Learning; Brands and Branding; Power and Influence

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April 2024 (Revised December 2024)
Case

Anthropic: Building Safe AI

By: Shikhar Ghosh and Shweta Bagai

In late 2024, Anthropic, a leading AI safety and research company, achieved a significant breakthrough with computer use capabilities that allowed AI to interact with computers like humans. Co-founded by former OpenAI employees and known for its generative AI... View Details

Keywords: AI and Machine Learning; Corporate Accountability; Corporate Social Responsibility and Impact; Business Growth and Maturation; Corporate Strategy; Technology Industry; United States

2024
Working Paper

The Value of AI Innovations

By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan

We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,... View Details

Keywords: AI and Machine Learning; Valuation; Technological Innovation; Open Source Distribution; Patents; Policy; Knowledge Sharing; Technology Industry

Forthcoming
Book

The Experimentation Machine: Finding Product–Market Fit in the Age of AI

By: Jeffrey J. Bussgang

Leverage AI to be a 10x Founder

Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, I reveal how AI is transforming the way startups find product-market fit and scale.... View Details

Keywords: AI; Founder; Startup; AI and Machine Learning; Technology Adoption; Business Startups; Entrepreneurship; Market Entry and Exit

2024
Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni

Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details

Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions

SSRN

01 Dec 2022
News

Built to Last

Weisiger at Carolina Tractor & Equipment: laying a foundation for employee development and company values The third generation to lead Carolina Tractor & Equipment (CTE), Ed Weisiger Jr. (MBA 1986) wants to rewrite the typical Hollywood... View Details

Keywords: Julia Hanna; family business; leadershp; employee management; Machinery Manufacturing; Machinery Manufacturing

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods

Though GE was highly successful in the market for heavy electrical machinery and engineering systems, Swope was determined to diversify the company into “public” products. Swope steered GE towards smaller... View Details

Keywords: Fabricated Goods

2025
Working Paper

The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling

By: Caleb Kwon, Antonio Moreno and Ananth Raman

Are the inputs used by your AI tool correct and up to date? In this paper, we show that the answer to this question: (i) is frequently a “no” in real business contexts, and (ii) has significant implications on the performance of AI tools. In the context of algorithmic... View Details

Keywords: AI and Machine Learning; Employees; Performance Effectiveness

SSRN

Following the death of his father, Sidney Winslow Jr. took an increasingly important role in the family company, which had been consolidated into the holding company, United Shoe Machinery Corporation. Winslow went on to expand the... View Details

Keywords: Fabric & Apparel

September 17, 2021
Article

AI Can Help Address Inequity—If Companies Earn Users' Trust

By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta

While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details

Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning

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08 Jun 2009
Research & Ideas

The Return of the Salesman

the field of office machinery and home appliance, for instance, relied on a trained sales force to introduce their innovations to potential customers—the adding machine, cash register, typewriter,... View Details

Keywords: by Sean Silverthorne; Retail

April 2024 (Revised November 2024)
Case

Moderna: Pioneering a People Platform to Accelerate Science Innovation

By: Tatiana Sandino, Emil Dy and Samuel Grad

Moderna was founded in 2010 to explore how messenger ribonucleic acid (mRNA) could be used to create breakthrough medicines by encoding instructions for the body to create antibodies. When Stéphane Bancel (HBS 2000) took over in 2011, he bet on the potential of this... View Details

Keywords: Disruptive Innovation; Talent and Talent Management; Selection and Staffing; AI and Machine Learning; Digital Strategy; Innovation and Management; Leadership Development; Management Practices and Processes; Management Systems; Organizational Culture; Performance Evaluation; Alignment; Employee Relationship Management; Science-Based Business; Expansion; Pharmaceutical Industry; Biotechnology Industry; United States

2023
Working Paper

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

By: Neil Menghani, Edward McFowland III and Daniel B. Neill

In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details

Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias

Career Coach

Troy Peterson

an uncommon intention for a military veteran with a history degree: to jump into the tech world and work in product. After working through challenges getting & preparing for tech interviews, Troy joined a team at Facebook building... View Details

October 2019
Case

Feeling Machines: Emotion AI at Affectiva

By: Shane Greenstein and John Masko

In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details

Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States