Machinery and Machining - Publications - Faculty & Research

July 2024
Article

Chatbots and Mental Health: Insights into the Safety of Generative AI

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

Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details

Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics

Forthcoming
Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong

Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing

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01 Jun 1997
News

Blockbuster Deals

inept or complacent management drew the attention of raiders. "I give credit to that 1980s movement as a whole for having created the profit machine that we see in the 1990s," Hayes says. "We now have an M&A; movement driven by strategic... View Details

Keywords: Garry Emmons and Nancy O. Perry

2024
Working Paper

Learning to Cover: Online Learning and Optimization with Irreversible Decisions

By: Alexander Jacquillat and Michael Lingzhi Li

Keywords: Buildings and Facilities; AI and Machine Learning; Geographic Location; Strategic Planning

Citation

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01 May 2018
First Look

First Look at New Research and Ideas, May 1, 2018

Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP) No abstract available. Purchase this case:... View Details

Keywords: Sean Silverthorne

January 2022
Article

Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems

By: David R. Clough and Andy Wu

Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details

Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry

28 Mar 2023
Blog Post

Meet Professor Elisabeth Paulson: A Conversation on Life, Research, and Teaching

intervention and 2) decide how it should be deployed in order to be most effective. Rigorously accomplishing both steps requires many different tools from the fields of statistics, machine learning, View Details

December 1998 (Revised March 1999)
Case

Disruptive Technology a Heartbeat Away: Ecton, Inc.

By: Clayton M. Christensen and Edward G Cape

Describes an innovating start-up company with a disruptive technology to the large, expensive echocardiography machines that leading cardiologists use to create images of heart functions for diagnostic purposes. Ecton's machine is small, cheap, portable, and can't... View Details

Keywords: Business Startups; Disruption; Machinery and Machining; Entrepreneurship; Innovation and Invention; Marketing; Product; Commercialization; Technology; Medical Devices and Supplies Industry

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12 May 2022
News

Why Digital Is a State of Mind, Not Just a Skill Set

05 Nov 2024
Book

Building the Road to 'Small Business Utopia' with AI and Fintech

assistant who knew all about the business, including the goals and preferences of the owner. What if this bot could respond to requests in plain English to perform daily tasks and improve sales View Details

Keywords: by Karen G. Mills; Financial Services

Jingpeng Hong

Jingpeng is a Ph.D. student in Marketing at Harvard Business School. Previously, he received a B.A. in Economics from the National School of Development, Peking University and a M.A. in Social Sciences, Economics from the University of Chicago. His research interests... View Details

13 Aug 2024
Op-Ed

Can AI Save Physicians from Burnout?

than putting them at odds, allowing AI to be used for the greater good. Many health care organizations are starting to use AI AI, which encompasses machines and software capable of reproducing human behavior... View Details

Keywords: by Susanna Gallani, Lidia Moura, and Katie Sonnefeldt; Health

20 Oct 2020
Blog Post

Exploring Technology and Public Impact Through the HBS/HKS Joint Degree Program

Policy team. In that role, I developed and analyzed Lyft policy positions on future of work and emerging technology issues such as machine learning, data sharing, View Details

December 2024 (Revised January 2025)
Technical Note

A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)

By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney

A note on the vocabulary, evolution, and impact of AI. View Details

Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry

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8 Sep 2023
Conference Presentation

Chatbots and Mental Health: Insights into the Safety of Generative AI

By: Julian De Freitas, K. Uguralp, Z. Uguralp and Stefano Puntoni

Keywords: AI and Machine Learning; Well-being

Citation

March 1969 (Revised August 1997)
Case

Fabritek Corp.

Describes a large-volume automotive parts contract in a high-quality machine work company. Quality and delivery problems arise when one of the four men on the job is replaced with a high producer who cannot earn a substantial bonus because of machine interference. View Details

Keywords: Production; Performance Productivity; Auto Industry

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2024
Working Paper

Old Moats for New Models: Openness, Control, and Competition in Generative AI

By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj

Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated... View Details

Keywords: Technological Innovation; AI and Machine Learning; Open Source Distribution; Policy

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Working Paper

AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance

By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang

Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details

Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry

Citation

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2010
Article

We Cannot Go On: Disruptive Innovation and the First World War Royal Navy

By: Gautam Mukunda

Insights from Disruptive Innovation theory (DI) are often used in the formulation, implementation, and evaluation of national security policy. DI explains why successful companies are sometimes defeated by new competitors with relatively unsophisticated products.... View Details