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Show Results For
- All HBS Web
(1,229)
- People (1)
- News (246)
- Research (712)
- Events (17)
- Multimedia (9)
- Faculty Publications (597)
- Web
Invention of the Polarizer - Edwin H. Land & Polaroid | Harvard Business School
direction. He then learned that by coating a thin sheet of plastic with microscopic crystals, he could stretch and align the crystals before the material dried. This synthetic polarizing material could be... View Details
- Web
In the News - Creating Emerging Markets
Machine Learning Teaches Us about CEO Leadership Style Tarun Khanna and Prithwiraj Choudhury use machine-learning technology to look for links between a CEO's communications... View Details
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 01 Mar 2024
- News
The Internet's Next Frontier
web applications "Read-write-own" web (Livestream videos) Users can own digital assets and digital items (enabled by blockchain) Semantic Web, data-driven, more human-like interactivity powered by Al, View Details
Keywords: Jennifer Gillespie
- November–December 2024
- Article
Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
By: Kirk Bansak and Elisabeth Paulson
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details
Bansak, Kirk, and Elisabeth Paulson. "Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing." Operations Research 72, no. 6 (November–December 2024): 2375–2390.
- 26 Mar 2018
- Research & Ideas
To Motivate Employees, Give an Unexpected Bonus (or Penalty)
employees make or how many units they produce. “The objective performance measures don’t take into consideration whether the machine broke down or whether someone is still learning the job,” Gallani... View Details
- 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
Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- Web
Marketing Awards & Honors - Faculty & Research
Jennifer Ames Stuart, 2004). Das Narayandas : Nominated to be the 2004 Class Day Speaker at Harvard Business School Commencement. 2003 Jill J. Avery : Awarded the Harvard University Certificate of Distinction in Teaching in 2003 from the Derek Bok Center for Teaching... View Details
- 22 Jul 2019
- Book
How to Be a Digital Platform Leader
All of the most valuable firms in the world today are platforms, starting with Apple, Microsoft, Google and Amazon. But platforms do not evolve in predictable ways, and there is a lot that managers View Details
Keywords: by Martha Lagace
- 18 Jul 2019
- Lessons from the Classroom
The Internet of Things Needs a Business Model. Here It Is
'I’ll bring it down to 3 percent,' but without any proof, the customer will say, 'why don’t you try it out on someone else first,'” Lal says. For that reason, instead of just selling connected products to business customers, companies must View Details
- Web
2024 Reunion Presentations - Alumni
operating architecture, redefining how they create, capture, share, and deliver value. Professor Karim Lakhani discusses how reinventing the firm around data, analytics, and AI... View Details
- Web
Software Tools - Research Computing Services
below: Git and GitHub Julia Jupyter Notebooks Machine Learning frameworks (Tensorflow, PyTorch, Keras, OpenCV) R and Python Rclone to sync files... View Details
- September 2023
- Case
Ada: Cultivating Investors
By: Reza Satchu and Patrick Sanguineti
Mike Murchison, co-founder and CEO of Ada, has an enviable dilemma. Launched in 2016 by Murchison and his co-founder David Hariri, Ada is an AI-native company that aims to revolutionize how businesses approach customer service. The company has already attracted a buzz,... View Details
Keywords: Founder; Fundraising; Business Startups; Decisions; Entrepreneurship; Venture Capital; AI and Machine Learning; Technology Industry
Satchu, Reza, and Patrick Sanguineti. "Ada: Cultivating Investors." Harvard Business School Case 824-090, September 2023.
- 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... View Details
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.
- Web
Disruptive Innovation Online Course | HBS Online
that are ready to apply. With every minute of learning, my company was better off and was setting a course for success. Andrzej Buks Vice President at Dakota Guardian Trust Assess opportunities and View Details
- June 2024 (Revised September 2024)
- Case
Driving Scale with Otto
By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details
Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain
Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale with Otto." Harvard Business School Case 724-407, June 2024. (Revised September 2024.)
- 2024
- Working Paper
Scaling Core Earnings Measurement with Large Language Models
By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- February 2024
- Case
SundaySky: Changing Customer Experiences through Personalized Video
By: David C. Edelman and James Barnett
In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative... View Details
Keywords: Advertising; Strategy; Technology Adoption; AI and Machine Learning; Applications and Software; Growth and Development Strategy; Advertising Industry; Technology Industry; United States
Edelman, David C., and James Barnett. "SundaySky: Changing Customer Experiences through Personalized Video." Harvard Business School Case 524-013, February 2024.
- Web
Entrepreneurial Management Awards & Honors - Faculty & Research
Humanity in the World of Risk and Return (Houghton Mifflin Harcourt, 2017). Scott Duke Kominers : Winner of a 2018 Webby Award for Best Use of Machine Learning from the... View Details