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  • February 2021 (Revised March 2022)
  • Case

TikTok in 2020: Super App or Supernova?

By: Jeffrey F. Rayport, Dan Maher and Dan O'Brien
TikTok’s parent company, ByteDance, was launched in 2012 around a simple idea – helping users entertain themselves on their smartphones while on the Beijing Subway. In less than a decade, it had become one of the world’s most valuable private companies, with investors... View Details
Keywords: Business Model; Business Startups; Business Organization; Change Management; Disruption; Cross-Cultural and Cross-Border Issues; Global Strategy; Health Pandemics; Innovation Strategy; Growth and Development Strategy; Growth Management; Brands and Branding; Marketing Strategy; Marketing Channels; Network Effects; Digital Platforms; Product Design; Product Development; Partners and Partnerships; Opportunities; Social Issues; Mobile and Wireless Technology; Internet and the Web; Value Creation; United States; China
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  • 2024
  • Working Paper

The Wade Test: Generative AI and CEO Communication

By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (AI) transform the role of the CEO by effectively automating CEO communication? This study investigates whether AI can mimic a human CEO and whether employees’ perception of the communication’s source matter. In a field... View Details
Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication
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  • 2024
  • Working Paper

Generative AI and the Nature of Work

By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
Recent advances in artificial intelligence (AI) technology demonstrate considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid... View Details
Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
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  • Research Summary

Overview

Navid has worked with different organizations across various industries, from the Federal Reserve to medical device manufacturers, heavy construction equipment sellers, and B2B software providers, to assemble proprietary datasets in studying organizational buying.... View Details

  • Forthcoming
  • Article

Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment

By: Shunyuan Zhang and Das Narayandas
We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
Keywords: AI and Machine Learning; Customer Focus and Relationships; Performance Efficiency
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  • 2024
  • Working Paper

The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations

By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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  • May–June 2024
  • Article

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: Prejudice and Bias; Gender; Training; Recruitment; Personal Development and Career
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  • 2023
  • Working Paper

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
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  • September 2024
  • Article

The Human Side of the Future of Work: Understanding the Role People Play in Shaping a Changing World

By: Jochen I. Menges, Lauren C. Howe, Erika Hall, Jon M. Jachimowicz, Sharon K. Parker, Riki Takeuchi, Abhijeet K. Vadera, Ashley Whillans and Susan K. Cohen
For as long as there has been work, there has been a “future of work,” through humans’ ingenuity and drive to get things done easier, faster, and better. With the industrial revolution, efforts to shape a better future of work were dominated by improvements in... View Details
Keywords: Change; Labor
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  • 2024
  • Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift

By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions
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  • March 2024
  • Teaching Note

CoPilot(s): Generative AI at Microsoft and GitHub

By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
Keywords: Mergers and Acquisitions; AI and Machine Learning; Applications and Software; Technological Innovation; Product Launch; Open Source Distribution; Product Development; Commercialization; Competition; Resource Allocation; Technology Industry
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  • March 2024 (Revised August 2024)
  • Case

Darktrace: Scaling Cybersecurity and AI (A)

By: Jeffrey F. Rayport and Alexis Lefort
In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details
Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States
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  • October 2023
  • Teaching Note

Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry
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  • 2019
  • Article

Overcoming Cultural Resistance to Open Source Innovation

By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani
Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Keywords: Open Source Innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention
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  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • July 2019 (Revised May 2021)
  • Case

Acelerex

By: John R. Wells and Benjamin Weinstock
In early 2019, Randell Johnson, Founder and Chief Executive of Acelerex, was reflecting on the company’s first year of rapid growth and the challenges of scaling the business that lay ahead. Acelerex was riding the waves of change taking place in electrical power grids... View Details
Keywords: Energy; Energy Sources; Growth Management; Expansion; Global Strategy; Cash Flow; Energy Industry; Web Services Industry; Consulting Industry
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  • 05 Feb 2024
  • Research & Ideas

The Middle Manager of the Future: More Coaching, Less Commanding

American Journal of Sociology. While artificial intelligence promises to transform the workplace and disrupt the organizational chart, Zhang’s research suggests that middle managers will still play a key... View Details
Keywords: by Ben Rand
  • 31 Oct 2023
  • HBS Case

Checking Your Ethics: Would You Speak Up in These 3 Sticky Situations?

analysis for a client and take a shortcut by relying on an artificial intelligence language model to develop some key insights. The client loves your report and praises the quality of your suggestions.... View Details
Keywords: by Michael Blanding; Consulting
  • 22 Nov 2023
  • Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

Knowing when to use artificial intelligence and when to rely on the human mind is a shifting fine line, one delineated by new research that shows considerable benefit and speed from generative AI—if it’s... View Details
Keywords: by Rachel Layne; Information Technology; Technology
  • 09 Jan 2024
  • In Practice

Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

As a new year begins, the role of artificial intelligence (AI) and its impact on the future of work permeates nearly every workplace-related discussion, from diversity, equity, and inclusion goals and... View Details
Keywords: by Rachel Layne; Information Technology

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