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- 15 Oct 2019
- News
Bridging Business and Engineering
in the new joint degree program. (photo by Susan Young) To build on the technology skills he acquired in the Israeli Defense Forces (IDF), Erez Perelson (MS/MBA 2020) came to Boston to pursue an AB in engineering at Harvard College, but... View Details
- 2024
- Working Paper
The Crowdless Future? Generative AI and Creative Problem Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
- 01 Jun 2023
- News
An Engine of Innovation
stage ideas. Teams competing in the Challenge are specifically working to develop solutions to some of the world’s most complex problems. What prompted the creation of the labs for alumni and life sciences ventures? During the i-lab’s... View Details
Keywords: Jennifer Gillespie
- 2016
- Working Paper
Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent
By: Pian Shu
Using data on MIT bachelor's graduates from 1994 to 2012, this paper empirically examines the extent to which the inflow of elite talent into the financial industry affects the supply of innovators in science and engineering (S&E). I first show that finance does not... View Details
Shu, Pian. "Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent." Harvard Business School Working Paper, No. 16-067, December 2015. (Revised November 2016.)
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
Are the 'Best and Brightest' Going into Finance? Skill Development and Career Choice of MIT Graduates
Abstract
Using detailed data on recipients of bachelor's degrees from MIT between 2006 and 2012, I examine the selection of students into finance or science and engineering (S&E). I find that academic achievement in college is negatively correlated with... View Details
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
- 26 Apr 2023
- In Practice
Is AI Coming for Your Job?
will be displaced in large numbers. Those job losses will be partially offset by job gains for machine learning specialists and emerging jobs like prompt engineers. But, once companies learn how to exploit generative AI, we can anticipate... View Details
- Web
Marketing - Faculty & Research
current and future purchase and consumption patterns. Search engines have changed the way consumers obtain information and make decisions and they are also dramatically changing the advertising industry. Social networks and user generated... View Details
- Web
Technology & Operations Management - Faculty & Research
"Generative AI." Harvard Business School Technical Note 625-054, October 2024. Prompt Engineering By: Michael Parzen and Jo Ellery October 2024 | Technical Note | Faculty Research Citation Educators Related... View Details
- 05 Sep 2023
- Book
Thriving After Failing: How to Turn Your Setbacks Into Triumphs
Harvard Business School Professor Amy Edmondson experienced her first big-stakes professional failure when she was just starting out in her academic career, some 30 years ago, after a decade working in engineering and consulting. Little... View Details
Keywords: by Michael Blanding
- Web
FAQ - MBA
MS/MBA: Engineering Sciences FAQ What is the mission of the program? The program aims to educate future leaders of technology ventures by providing a strong foundation in general management, building design skills, and deepening students’... View Details
- 14 Dec 2016
- HBS Seminar
Siobhan O'Mahony and Rebecca Karp, Boston University
- 20 Aug 2020
- Book
From the Plow to the Pill: How Technology Shapes Our Lives
For centuries, the creation of innovative technology—from steam engines and automobiles to computers and smartphones—has dramatically changed the nature of our work. Less deeply understood has been the impact of technology on the inner currents of our personal lives,... View Details
Keywords: by Dina Gerdeman
- 01 Dec 2023
- News
Thinking Ahead
cost-effective behaviors in the insurance company’s subscribers. The effort involved machine learning, with a team of engineers writing algorithms that spotted patterns in customer behavior—for example, a member with repeated ER... View Details
- 10 Jan 2023
- Op-Ed
Time to Move On? Career Advice for Entrepreneurs Preparing for the Next Stage
journaling where they write their responses to the prompts below and then we discuss them together. Whether or not you have a coach with whom to process your answers to these prompts, you should find journaling your responses to be a... View Details
Keywords: by Julia Austin
- 30 May 2023
- Research & Ideas
Can AI Predict Whether Shoppers Would Pick Crest or Colgate?
results. Additional study on the phrasing or engineering of AI prompts could also help improve results, says Brand, who along with Ngwe is exploring uses for GPT in market research for business units within... View Details
Keywords: by Kristen Senz
- Web
Technology & Innovation - Faculty & Research
software platform; investing in software development capabilities; building advanced analytics capabilities; and embracing crowd-based product development. With all this, GE is evolving its business model. Now, for example, revenue from its jet View Details
- 15 Dec 2015
- First Look
December 15, 2015
examine the selection of students going into finance or science and engineering (S&E). I find that academic achievement in college is negatively correlated with a propensity to take a job in finance and positively correlated with a... View Details
Keywords: Carmen Nobel