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Show Results For
- All HBS Web
(1,105)
- People (1)
- News (221)
- Research (622)
- Events (14)
- Multimedia (7)
- Faculty Publications (500)
- 23 Mar 2023
- HBS Seminar
Tinglong Dai, Johns Hopkins
- 05 Oct 2015
- Working Paper Summaries
Online Network Revenue Management Using Thompson Sampling
- September 2023 (Revised December 2023)
- Case
TetraScience: Noise and Signal
By: Thomas R. Eisenmann and Tom Quinn
In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details
Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston
Eisenmann, Thomas R., and Tom Quinn. "TetraScience: Noise and Signal." Harvard Business School Case 824-024, September 2023. (Revised December 2023.)
- 26 Feb 2001
- Research & Ideas
David, Goliath, and Disruption
into a disruptee. Learning To Chicken-scratch If a technology is to succeed, in theory at least, it should not require people to radically change their behavior. Instead, companies that promote the technology should hope for a gradual... View Details
Keywords: by Martha Lagace
- 29 May 2018
- First Look
New Research and Ideas, May 29, 2018
incorporate these advancements to improve the way the functions work, how to incorporate machine learning and artificial intelligence that de facto improve productivity View Details
Keywords: Dina Gerdeman
Isamar Troncoso
Isamar Troncoso is an Assistant Professor of Business Administration in the Marketing Unit at HBS. She teaches the Marketing course in the MBA required curriculum.
Professor Troncoso studies problems related to digital marketplaces and new technologies. She... View Details
- 17 Jul 2023
- Research & Ideas
Money Isn’t Everything: The Dos and Don’ts of Motivating Employees
that the process is transparent and understood, even if everyone’s individual pay isn’t transparent. Don’t replace all your people with robots In the age of AI and robotics,... View Details
Keywords: by Avery Forman
- December 2022 (Revised February 2023)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher T. Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
Stanton, Christopher T., and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised February 2023.)
- 09 Dec 2019
- News
Identify Great Customers from Their First Purchase
- 30 Oct 2018
- First Look
New Research and Ideas, October 30, 2018
Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ View Details
Keywords: Dina Gerdeman
- 2020
- Working Paper
Design in the Age of Artificial Intelligence
By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details
Keywords: Artificial Intelligence; Design Thinking; Technological Innovation; Design; Change; Theory; AI and Machine Learning
Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
- March 2017
- Supplement
Donna Dubinsky, Numenta and Artificial Intelligence
By: David B. Yoffie
Donna Dubinsky, CEO of Numenta, discusses her views of the future of artificial intelligence and the strategic challenges of building a new platform. View Details
Keywords: Artificial Intelligence; Strategy; Technological Change; AI and Machine Learning; Technology Industry
Yoffie, David B. "Donna Dubinsky, Numenta and Artificial Intelligence." Harvard Business School Multimedia/Video Supplement 717-807, March 2017.
- 16 Oct 2019
- Research & Ideas
Read Our Most Popular Stories of the Quarter
great customer service is no longer the responsibility of just one department. Creating the customer-centric organization. (12,182 visits) What Machine Learning Teaches Us about CEO Leadership Style... View Details
Keywords: by Sean Silverthorne
Ta-Wei Huang
Ta-Wei (David) Huang is a PhD candidate in Quantitative Marketing at Harvard Business School. His research integrates causal inference and machine learning to address methodological challenges and unintended consequences in targeting, personalization, and online... View Details
- 20 Dec 2023
- Video
Chat GPT for Job Searching Short
- 03 Oct 2017
- First Look
First Look at Research and Ideas, October 3, 2017
using people analytics in hiring. The case also provides an accessible yet thorough explanation of the key aspects of artificial intelligence (supervised, unsupervised, and reinforcement machine learning).... View Details
Keywords: by Sean Silverthorne
- 15 May 2017
- Sharpening Your Skills
The Promises and Limitations of Big Data
services firms are using digital information about their customers to offer them a whole new range of customized products under the category of fintech. Cities are using data from Google Street View to guide economic development. And... View Details
- 07 May 2020
- Research & Ideas
The One Good Thing Caused by COVID-19: Innovation
drastic changes in their interactions with consumers. In education, teachers from elementary schools to universities transformed content and delivered it online or through phones. Retailers started to license Amazon's Just Walk Out... View Details
Keywords: by Hong Luo and Alberto Galasso
- February 2021 (Revised June 2021)
- Case
Bairong and the Promise of Big Data
By: Lauren Cohen, Xiaoyan Zhang and Spencer C.N. Hagist
Bairong CEO Felix Zhang, in launching his credit scoring start-up that incorporates 74,000 variables per individual, found strong initial success. However, the shifting regulatory environment, growing breadth of competitors, difficulties in retaining top talent, and... View Details
Keywords: Fintech; Big Data; Artificial Intelligence; Credit Scoring; Finance; Credit; Business Startups; AI and Machine Learning; Analytics and Data Science; China
Cohen, Lauren, Xiaoyan Zhang, and Spencer C.N. Hagist. "Bairong and the Promise of Big Data." Harvard Business School Case 221-068, February 2021. (Revised June 2021.)