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- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Frabrizio 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...
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Keywords:
Large Language Model;
AI and Machine Learning;
Performance Efficiency;
Performance Improvement
Dell'Acqua, Frabrizio, 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.
- September–October 2023
- Article
Reskilling in the Age of AI
In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and...
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Keywords:
Competency and Skills;
AI and Machine Learning;
Training;
Adaptation;
Employees;
Digital Transformation
Tamayo, Jorge, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun. "Reskilling in the Age of AI." Harvard Business Review 101, no. 5 (September–October 2023): 56–65.
- August 2023
- Case
Beamery: Using Skills and AI to Modernize HR
By: Boris Groysberg, Alexis Lefort, Susan Pinckney and Carolina Bartunek
Unicorn human relationships startup Beamery evaluates it growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management industry
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Keywords:
Acquisition;
Business Growth and Maturation;
Business Startups;
Competency and Skills;
Experience and Expertise;
Talent and Talent Management;
Customers;
Nationality;
Learning;
Entrepreneurship;
Corporate Entrepreneurship;
Social Entrepreneurship;
Human Resources;
Employee Relationship Management;
Recruitment;
Retention;
Selection and Staffing;
Values and Beliefs;
Cross-Cultural and Cross-Border Issues;
Analytics and Data Science;
Applications and Software;
Disruptive Innovation;
Technological Innovation;
Job Offer;
Job Search;
Job Design and Levels;
Employment;
Human Capital;
Europe;
United Kingdom;
United States
- August 2023
- Case
Kariyer.net: Recruiting AI
By: Shunyuan Zhang, Fares Khrais and Namrata Arora
In 2017, Fatih Uysal (AMP 2021) became CEO of Kariyer.net. By then, the business was already the industry leading online job board in Turkey. However, faced with stalling growth, a turbulent macroenvironment, and growing competition from international players, Uysal...
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Keywords:
Online Technology;
Marketing;
Websites;
Artificial Intelligence;
Innovation;
Two-sided Platforms;
Internet and the Web;
Product Launch;
Product Positioning;
Job Search;
Employment;
Transformation;
Volatility;
Innovation and Invention;
Disruptive Innovation;
Management Practices and Processes;
Business Growth and Maturation;
Competitive Strategy;
Business Startups;
Talent and Talent Management;
Cost vs Benefits;
Macroeconomics;
Corporate Entrepreneurship;
Emerging Markets;
Digital Platforms;
Employment Industry;
Information Technology Industry;
Technology Industry;
Middle East;
Turkey
Zhang, Shunyuan, Fares Khrais, and Namrata Arora. "Kariyer.net: Recruiting AI." Harvard Business School Case 524-014, August 2023.
- 2023
- Working Paper
The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing
This study investigates the capability of generative artificial intelligence (AI) in creating innovative business solutions compared to human crowdsourcing methods. We initiated a crowdsourcing challenge focused on sustainable, circular economy business opportunities....
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Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing." Harvard Business School Working Paper, No. 24-005, July 2023.
- August 2023
- Case
The Ethical Tightrope: When to Disclose the AI Shortcut
By: David G. Fubini, William Fubini and Patrick Sanguineti
In this short vignette on ethics in consulting, John Child, a new Associate at a prestigious firm who is eager to impress, decides to use an AI tool to expedite his analysis and craft his presentation due to a short project timeframe. Feeling uneasy about his decision...
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- 2023
- Other Unpublished Work
Visions of Vision Pro
Daily ups and downs of the market are often driven by changes in interest-rate expectations and investor risk aversion. But over the long run, it's often technological change that is the primary driver of value. A decade ago, Tyler Cowen argued in his book The Great...
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Cohen, Randolph B. "Visions of Vision Pro." August 2023. (LinkedIn Articles.)
- July–August 2023
- Article
What Smart Companies Know About Integrating AI
By: Silvio Palumbo and David Edelman
AI has the power to gather, analyze, and utilize enormous volumes of individual customer data to achieve precision and scale in personalization. The experiences of Mercury Financial, CVS Health, and Starbucks debunk the prevailing notion that extracting value from AI...
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Keywords:
AI and Machine Learning;
Customization and Personalization;
Integration;
Technology Adoption
Palumbo, Silvio, and David Edelman. "What Smart Companies Know About Integrating AI." Harvard Business Review 101, no. 4 (July–August 2023): 116–125.
- 2023
- Working Paper
Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate
By: Mengxia Zhang and Isamar Troncoso
3D virtual tours (VTs) have become a popular digital tool in real estate platforms, enabling potential buyers to virtually walk through the houses they search for online. In this paper, we study home sellers’ adoption of VTs and the VTs’ relative benefits compared to...
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Zhang, Mengxia, and Isamar Troncoso. "Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate." Harvard Business School Working Paper, No. 24-003, July 2023.
- July 2023
- Supplement
Honeycomb (B): Jumping on The Generative AI Bandwagon?
By: Jeffrey J. Bussgang and Kumba Sennaar
Supplement for case: Social app company evaluates pivoting to Generative AI and adopting a new business model.
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- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
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Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- June 2023 (Revised July 2023)
- Case
Social Media Background Screening at Fama Technologies
By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running...
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Keywords:
Human Resources;
Recruitment;
Retention;
Selection and Staffing;
Organizational Culture;
Talent and Talent Management;
United States
Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies." Harvard Business School Case 123-010, June 2023. (Revised July 2023.)
- June 2023
- Supplement
Social Media Background Screening at Fama Technologies (B)
By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running...
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Keywords:
Human Resources;
Recruitment;
Retention;
Selection and Staffing;
Organizational Culture;
Talent and Talent Management;
United States
Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies (B)." Harvard Business School Supplement 123-086, June 2023.
- June 20, 2023
- Article
Cautious Adoption of AI Can Create Positive Company Culture
By: Joseph Pacelli and Jonas Heese
Pacelli, Joseph, and Jonas Heese. "Cautious Adoption of AI Can Create Positive Company Culture." CMR Insights (June 20, 2023).
- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false...
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Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- June 19, 2023
- Article
Should You Start a Generative AI Company?
Many entrepreneurs are considering starting companies that leverage the latest generative AI technology, but they must ask themselves whether they have what it takes to compete on increasingly commoditized foundational models, or whether they should instead...
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De Freitas, Julian. "Should You Start a Generative AI Company?" Harvard Business Review (website) (June 19, 2023).
- 2023
- Working Paper
Auditing Predictive Models for Intersectional Biases
By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we...
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Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
- 2023
- Working Paper
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
By leveraging machine-learning algorithms and using nontraditional digital data derived primarily from borrowers’ mobile devices, digital lenders have vastly expanded access to credit in developing economies for millions of individuals without a prior credit history....
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Keywords:
Borrowing and Debt;
Credit;
AI and Machine Learning;
Welfare;
Well-being;
Developing Countries and Economies
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Harvard Business School Working Paper, No. 23-076, April 2023. (Revised June 2023. SSRN Working Paper Series, April 2023)
- 2023
- Working Paper
Random Distribution Shift in Refugee Placement: Strategies for Building Robust Models
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can...
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Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Random Distribution Shift in Refugee Placement: Strategies for Building Robust Models." Working Paper, June 2023.