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Publications

Publications

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  • All HBS Web  (2,852)
    • People  (14)
    • News  (652)
    • Research  (1,576)
    • Events  (19)
    • Multimedia  (9)
  • Faculty Publications  (845)

Show Results For

  • All HBS Web  (2,852)
    • People  (14)
    • News  (652)
    • Research  (1,576)
    • Events  (19)
    • Multimedia  (9)
  • Faculty Publications  (845)
← Page 43 of 2,852 Results →
  • Web

Research Areas - Doctoral

management practices in global organizations; cross-cultural learning and adaptation processes; the challenges of taking companies global; emerging-market companies with global potential; and international political economy and its impact... View Details
  • 14 Dec 2021
  • Op-Ed

To Change Your Company's Culture, Don't Start by Trying to Change the Culture

collaboration—that is, the culture. A model for culture change My colleague Russ Eisenstat and I, in collaboration with senior executives at Becton Dickinson, developed a powerful way to change culture by first coming to an agreement—in... View Details
Keywords: by Michael Beer
  • Web

Blavatnik Fellowship in Life Science Entrepreneurship - Health Care

improving healthcare access and outcomes on a broad scale. Before HBS, Somani spent 10 years in the industry, managing software development teams building machine learning platforms at Oracle and Amazon... View Details
  • 09 Aug 2016
  • Blog Post

Startup Balancing Act

said to my coworker, and with that I stepped off the hover board. “Hopefully, you can learn it by the end of the summer” he replied while laughing. I gave him a firm handshake and returned to my desk. My summer internship is at a medical... View Details
Keywords: Health Care
  • Program

Senior Executive Leadership Program—China

where every aspect of the learning model has been carefully designed to facilitate your growth. Your learning will take place on your own, in your small View Details
  • 14 Feb 2012
  • First Look

First Look: February 14

(TMTs) by creating psychological conditions of trust and facilitating learning from failures in their teams. Structural equation modeling (SEM) analyses of survey data collected from 77 TMTs indicate that... View Details
Keywords: Carmen Nobel
  • 12 PM – 1 PM EDT, 28 Sep 2016
  • Webinars: Career

5 Happiness Hacks That Drive Productivity, Sales, and Creativity

According to Harvard Business Review, happy people are 37% more productive, have 31% higher sales, and are three times more creative than their peers. In this webinar, Neil Pasricha (MBA 2007) provides models to create lasting happiness including building diverse... View Details
  • Web

Entrepreneurship - Faculty & Research

Founder Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine , I reveal how AI is transforming the way startups find product-market fit and... View Details
  • Program

Driving Nonprofit Performance and Innovation—Virtual

HBS Social Enterprise Initiative website for scholarship information. Learning and Living at HBS When you participate in an Executive Education program on the HBS campus, you enter an immersive experience where every aspect of the View Details
  • 19 Dec 2023
  • Research & Ideas

The 10 Most Popular Articles of 2023

People Get Ahead?Society seems to reward people with particular facial features. Research by Shunyuan Zhang and colleagues uses machine learning to analyze traits that people associate with charisma. The... View Details
Keywords: by Danielle Kost
  • 2025
  • Book

The Experimentation Machine: Finding Product–Market Fit in the Age of AI

By: Jeffrey J. Bussgang
Leverage AI to be a 10x Founder

Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, I reveal how AI is transforming the way startups find product-market fit and scale.... View Details
Keywords: AI; Founder; Startup; AI and Machine Learning; Technology Adoption; Business Startups; Entrepreneurship; Market Entry and Exit
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Bussgang, Jeffrey J. The Experimentation Machine: Finding Product–Market Fit in the Age of AI. Damn Gravity Media, 2025.
  • 22 Jan 2013
  • First Look

First Look: Jan. 22

competition and stability in the long-term, outside the period that may be observed empirically. We employ both conceptions in this paper. Download the paper: http://ssrn.com/abstract=2199055 Prominent Job Advertisements, Group Learning... View Details
Keywords: Sean Silverthorne
  • Web

Entrepreneurial Management - Faculty & Research

India. The product aimed to improve student engagement and performance, reduce the time it took teachers to develop and grade learning assessments, enable administrators to better track data, and provide parents more insight into their... View Details
  • Web

Dean Srikant Datar | About

and machine learning and artificial intelligence. He has published his work on activity-based management, quality, productivity, time-based competition, new product development, bottleneck management,... View Details
  • September 2024
  • Case

Xendit: Hiring for Growth

By: Jeffrey F. Rayport, Steve Castano, Quoc Anh Nguyen and Claire Wu
In 2019, Xendit, a growth-stage Southeast Asia (SEA) fintech venture based in Jakarta, was looking to hire a Head of Sales and Head of Product to lead its next phase of growth. Founded by Moses Lo and Tessa Wijaya, Xendit provided payment infrastructure, modeling... View Details
Keywords: Fintech; Financing and Loans; Entrepreneurship; Jobs and Positions; Sales; Product; Growth and Development; Selection and Staffing; Organizational Culture; Expansion; Financial Services Industry; Technology Industry; Southeast Asia; Indonesia; Philippines
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Rayport, Jeffrey F., Steve Castano, Quoc Anh Nguyen, and Claire Wu. "Xendit: Hiring for Growth." Harvard Business School Case 825-046, September 2024.
  • 2018
  • Working Paper

Channeled Attention and Stable Errors -- Previous Working Version

By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
A common critique of models of mistaken beliefs is that people should recognize their error after observations they thought were unlikely. This paper develops a framework for assessing when a given error is likely to be discovered, in the sense that the error-maker... View Details
Keywords: Perception; Behavior; Theory; Situation or Environment
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Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors -- Previous Working Version." Harvard Business School Working Paper, No. 18-108, June 2018.
  • 25 Apr 2012
  • Research & Ideas

The Importance of Teaming

learning and process knowledge, and explains why these are important concepts for today's leaders. Teaming is a verb Sports teams and musical groups are both bounded, static collections of individuals. Like most work teams in the past,... View Details
Keywords: Re: Amy C. Edmondson
  • Web

Strategy - Faculty & Research

memberships. Moreover, short-term membership is a Nash equilibrium. May 2025 Case Boutiqaat: Influencing Retail in MENA By: Juan Alcacer and Noor Al Qadhi Boutiqaat, a Kuwait-based e-commerce platform, scaled an influencer-driven beauty retail View Details
  • 02 May 2023
  • What Do You Think?

How Should Artificial Intelligence Be Regulated—if at All?

(iStockphoto/Rost-9D) Artificial intelligence (AI) is the topic of the moment in circles ranging from science to business to religion. Its potential and implications are driven home when you see robot soccer players improve their game to the point that they behave as a... View Details
Keywords: by James Heskett; Information Technology; Technology
  • January 2025
  • Technical Note

AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
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Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
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