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Show Results For
-
All HBS Web
(1,290)
- News (416)
- Research (404)
- Events (8)
- Multimedia (48)
- Faculty Publications (374)
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- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media...
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Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- 15 Jan 2019
- First Look
New Research and Ideas, January 15, 2019
that can serve as the basis for a rich classroom discussion. Purchase this case:https://hbsp.harvard.edu/product/519007-PDF-ENG Harvard Business School Case 819-062 Shield AI Shield AI’s quadcopter—with no pilot and no flight plan—could...
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Keywords:
Dina Gerdeman
- 23 May 2017
- First Look
First Look at New Ideas and Research: May 23, 2017
https://pubwww.hbs.edu/faculty/Pages/item.aspx?num=52650 Reinventing the American Wine Industry: Marketing Strategies and the Construction of Wine Culture By: Hisano, Ai Abstract—This working paper examines the remarkable growth of wine...
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Carmen Nobel
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research...
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Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- 2022
- Working Paper
The Evolution of ESG Reports and the Role of Voluntary Standards
By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon
We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The
percentage of firms releasing these voluntary disclosures increased from 35% to 86%
during this period, although the length of these documents experienced more modest
growth. Using a...
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Keywords:
Voluntary Disclosure;
Textual Analysis;
Modeling And Analysis;
Corporate Social Responsibility and Impact;
AI and Machine Learning;
Accounting
Rouen, Ethan, Kunal Sachdeva, and Aaron Yoon. "The Evolution of ESG Reports and the Role of Voluntary Standards." Harvard Business School Working Paper, No. 23-024, October 2022.
- 12 Jun 2018
- First Look
New Research and Ideas, June 12, 2018
for foreign companies to compete in Chinese markets. As these companies continued to scale by branching into new businesses, such as voice AI and self-driving vehicles, they also faced new and challenging questions about user privacy. The...
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Keywords:
Dina Gerdeman
- 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...
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Keywords:
Fintech;
Big Data;
Data;
Technology;
Artificial Intelligence;
Great Recession;
Regulation;
Innovation;
Banks;
Lending;
Loans;
Access To Capital;
American Dream;
Community Banking;
Small Business Administration;
Entrepreneur;
Government;
Public Policy;
API;
Policy Making;
Small Business;
Financing and Loans;
Technological Innovation;
Financial Crisis;
Banks and Banking;
Governing Rules, Regulations, and Reforms;
Policy;
AI and Machine Learning;
Analytics and Data Science;
United States
Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. Palgrave Macmillan, 2019.
- Teaching Interest
Overview
Public entrepreneurship, entrepreneurship, leadership, business and government, cities, artificial intelligence
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- October 2018
- Case
American Family Insurance and the Artificial Intelligence Opportunity
By: Rajiv Lal and Scott Johnson
Keywords:
Artificial Intelligence;
Machine Learning;
Automation;
Analytics;
American Family;
American Family Insurance;
Insurance;
Business Organization;
Transformation;
Talent and Talent Management;
Employee Relationship Management;
Innovation Strategy;
Job Cuts and Outsourcing;
Risk and Uncertainty;
Mobile and Wireless Technology;
Technology Adoption;
Internet and the Web;
Applications and Software;
Corporate Strategy;
AI and Machine Learning;
Digital Transformation;
Insurance Industry;
Technology Industry;
Wisconsin
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management...
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Keywords:
AI and Machine Learning;
Personal Characteristics;
Perception;
Interpersonal Communication
Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
- 2023
- Working Paper
Black-box Training Data Identification in GANs via Detector Networks
By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if...
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Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
- January 2018 (Revised March 2019)
- Case
Autonomous Vehicles: The Rubber Hits the Road...but When?
By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will...
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Keywords:
Technology Management;
Artificial Intelligence;
General Management;
Robotics;
Technological Innovation;
Transportation;
Disruption;
Information Technology;
Decision Making;
AI and Machine Learning;
Auto Industry;
Technology Industry
Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)
- September 2020
- Case
True North: Pioneering Analytics, Algorithms and Artificial Intelligence
By: Karim R. Lakhani, Kairavi Dey and Hannah Mayer
True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented...
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Keywords:
Artificial Intelligence;
Information Technology;
Management;
Operations;
Organizations;
Leadership;
Innovation and Invention;
Business Model;
AI and Machine Learning;
Computer Industry;
Technology Industry
Lakhani, Karim R., Kairavi Dey, and Hannah Mayer. "True North: Pioneering Analytics, Algorithms and Artificial Intelligence." Harvard Business School Case 621-042, September 2020.
- 09 May 2024
- Research & Ideas
Called Back to the Office? How You Benefit from Ideas You Didn't Know You Were Missing
and prospective thinking of others. I suspect that our findings can generalize to any kind of institution.” You Might Also Like: Publish or Perish: What the Research Says About Productivity in Academia Humans vs. Machines: Untangling the Tasks View Details
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by Ben Rand
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more...
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Keywords:
COVID-19 Pandemic;
Epidemics;
Analytics and Data Science;
Health Pandemics;
AI and Machine Learning;
Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- 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.
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Hwang, Serim, Shunyuan Zhang, Xiao Liu, and Kannan Srinivasan. "Should Your Brand Hire a Virtual Influencer?" Harvard Business Review 102, no. 3 (May–June 2024): 56–60.
- 05 Mar 2019
- First Look
New Research and Ideas, March 5, 2019
changed drastically in recent years. The growth in the e-commerce market had declined significantly. Furthermore, the advancement of AI and big data was turning shopping into a boundaryless experience—consumers could purchase products...
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Keywords:
Dina Gerdeman
- December 2018
- Teaching Note
Autonomous Vehicles: The Rubber Hits the Road…but When?
By: William Kerr and James Palano
The autonomous vehicles have enormous implications for business and society. But, despite the headline-laden attention paid to the technology, there remain more questions than answers. Students will learn about the complex industry and have explicit discussions about...
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- 2024
- Working Paper
Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
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...
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Keywords:
Cognitive Biases;
Algorithm Transparency;
Forecasting and Prediction;
Behavior;
AI and Machine Learning;
Analytics and Data Science;
Cognition and Thinking
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence." Working Paper, February 2024.
- 03 Jan 2017
- First Look
January 3, 2017
broadly available. Publisher's link: https://pubwww.hbs.edu/faculty/Pages/item.aspx?num=52046 October 2016 Business History Review The Rise of Synthetic Colors in the American Food Industry, 1870–1940 By: Hisano, Ai Abstract—This article...
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Keywords:
Carmen Nobel