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  • All HBS Web  (80)
    • News  (26)
    • Research  (42)
    • Events  (1)
  • Faculty Publications  (13)

Show Results For

  • All HBS Web  (80)
    • News  (26)
    • Research  (42)
    • Events  (1)
  • Faculty Publications  (13)
Page 1 of 80 Results →
  • October 2024
  • Technical Note

Prompt Engineering

By: Michael Parzen and Jo Ellery
This note covers the basics of prompt engineering, a key tool for making use of modern generative AI. We discuss the principles of prompt engineering and illustrate these principles with techniques for asking questions. We further list the types of prompts that can be... View Details
Keywords: Large Language Model; AI and Machine Learning
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Parzen, Michael, and Jo Ellery. "Prompt Engineering." Harvard Business School Technical Note 625-056, October 2024.
  • 2024
  • Working Paper

The Crowdless Future? Generative AI and Creative Problem Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
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
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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.)
  • 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
  • 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
Keywords: Higher Education; Engineering; Personal Development and Career; Science; Finance
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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.)
  • September–October 2024
  • Article

The Crowdless Future? Generative AI and Creative Problem-Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
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; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
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Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
  • 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
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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.
  • January 2025
  • Case

Summer Health: Raising an AI-First Company?

By: Jeffrey J. Bussgang, Sarah Mehta and Maxim Pike Harrell
In October 2023, Summer Health CEO Ellen DaSilva arrived at a defining juncture for her pediatric telehealth startup. Founded in 2021, Summer Health offered parents rapid access to licensed pediatricians via text message. DaSilva, an experienced telehealth executive,... View Details
Keywords: AI and Machine Learning; Technology Adoption; Entrepreneurship; Leadership; Business Startups; Health Care and Treatment; Business Strategy; Product Development; Health Industry; Telecommunications Industry; United States
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Bussgang, Jeffrey J., Sarah Mehta, and Maxim Pike Harrell. "Summer Health: Raising an AI-First Company?" Harvard Business School Case 825-083, January 2025.

    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
      Keywords: by Kristen Senz; Technology
      • Web

      Marketing - Faculty & Research

      make important contributions in the future. The current economic crisis is changing consumers' current and future purchase and consumption patterns. Search engines have changed the way consumers obtain information and make decisions and... 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

      Help - Alumni

      Current qualifying programs include: Advanced Management Program (AMP) Doctor of Business Administration (DBA) General Management Program (GMP) Joint Program with Harvard John A. Paulson School of Engineering & Applied Sciences (MS/MBA:... View Details
      • Web

      Asia Pacific - Global

      might be. For example, the pilot had prompted TagHive to increase the capacity and responsibilities of its customer support team. If all clients were under the subscription fee model, could the company afford to continue expanding the... View Details
      • 14 Dec 2016
      • HBS Seminar

      Siobhan O'Mahony and Rebecca Karp, Boston University

      • 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
      • 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
      • Web

      Finance - Faculty & Research

      considering whether to extend the pilot to all customers and what the effects on other parts of the organization might be. For example, the pilot had prompted TagHive to increase the capacity and responsibilities of its customer support... 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
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