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Show Results For
- All HBS Web
(491)
- News (148)
- Research (225)
- Events (7)
- Multimedia (6)
- Faculty Publications (179)
- 12 Mar 2024
- HBS Case
How Used Products Can Unlock New Markets: Lessons from Apple's Refurbished iPhones
Some of Apple’s most loyal customers think nothing of upgrading to the latest iPhone every time one comes out. But what about consumers who can’t splurge on a $1,000 iPhone 15 Pro? And what about the electronic waste that would accrue if people threw away functional... View Details
- February 2024 (Revised September 2024)
- Case
TimeCredit
By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting background, as she decides how much... View Details
Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Technology Industry
Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Case 824-139, February 2024. (Revised September 2024.)
- 11 Jun 2024
- In Practice
The Harvard Business School Faculty Summer Reader 2024
As the vacation season looms, Harvard Business School faculty members share recommendations for a little light reading. Spoiler alert: Lessons in Chemistry tops two of their beach-read lists. For those whose brains can’t—or won’t—turn off, HBS faculty also suggest some... View Details
Keywords: by Avery Forman
- 2024
- Working Paper
Scaling Core Earnings Measurement with Large Language Models
By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
- 15 May 2024
- Research & Ideas
A Major Roadblock for Autonomous Cars: Motorists Believe They Drive Better
AI in Adapting to Change Can Autonomous Vehicles Drive with Common Sense? Can we automate our way to better decision making? Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu. Image: Illustration created by... View Details
- 24 Jul 2023
- Research & Ideas
Part-Time Employees Want More Hours. Can Companies Tap This ‘Hidden’ Talent Pool?
demographics,” Fuller says. Acknowledge–and embrace–the prevalence female caregivers in the workforce. “Employers need to recognize that this demographic is going to become more important in the workforce of the future,” Fuller says. Future View Details
Keywords: by Kara Baskin
- Web
Entrepreneurship - Faculty & Research
Initiative encourage innovation to address the large-scale issues that beset society. Entrepreneurship Social Enterprise Our long tradition of research in Entrepreneurship goes back to the 1930's and 1940's with the “the father of venture capitalism,” View Details
- 01 Dec 2023
- News
Thinking Ahead
As we wind down 2023, there’s talk everywhere of generative AI and how it will fundamentally alter the world as we know it; but how does that translate for your corner of the business world? Is TikTok something you need to take seriously? (Is it time to dance?) We... View Details
- Web
California - Global
Case Adobe: GenAI Opportunity or Threat? By: Sunil Gupta , Rajiv Lal and Allison Ciechanover In December 2022, Adobe CEO Shantanu Narayen faced a pivotal strategic decision due to the rapid rise of generative View Details
- 01 May 2024
- What Do You Think?
Have You Had Enough?
(Illustration created using image generated by Midjourney, an artificial intelligence tool.) Last month, I posted a column in HBS Working Knowledge titled, “What’s Enough to Make Us Happy?” Over the last few months, I’ve been asking... View Details
Keywords: by James Heskett
- Web
Marketing Curriculum - Faculty & Research
(also listed under General Management and Entrepreneurial Management) Kash Rangan , Benjamin N. Roth , Natalia Rigol Fall 2025 Q1Q2 3.0 Creating Brand Value Julian de Freitas Spring 2026 Q3 1.5 Digital Marketing & View Details
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- Web
Technology & Innovation - Faculty & Research
paper advances the theoretical and practical understanding of LLMs in ideation for consumer research, offering numerous practical strategies for integrating generative AI into research while emphasizing... View Details
- 19 Dec 2023
- Research & Ideas
15 Podcast Episodes That Grabbed Listeners in 2023
ethics, and workforce implications. How LinkedIn Parses Talent, Skills, and Diversity Professional work has hit multiple inflection points—from generative AI to remote work and shifting skills requirements.... View Details
Keywords: by Danielle Kost
- 01 Jun 2024
- News
In My Humble Opinion: Career Change
When Wakana Tanaka (MBA 2003) was 13 years old, her father’s new job took the family from their home in Tokyo to Jakarta. It was a big change, not just geographically but also culturally. Tanaka enrolled in an international school where she was encouraged to have her... View Details
- Web
Accounting & Management Curriculum - Faculty & Research
Jonas Heese Fall 2025 Q1 1.5 Business Analysis and Valuation Using Financial Statements Joseph Pacelli Fall 2025 Q1Q2 3.0 Yuan Zou Spring 2026 Q3Q4 3.0 Changing the World: Life Choices of Influential Leaders (also listed under General... View Details
- Web
Connect with Clubs - Recruiting
hbsaasuclub@gmail.com AI Club Co-Presidents Jeffrey He jhe@mba2026.hbs.edu Tina Zhang tzhang@mba2026.hbs.edu Natalie DellaMaria ndellamaria@mba2026.hbs.edu Club Email caml@studentclubs.hbs.edu Armed Forces Alumni Association Co-Presidents... View Details
- 07 Feb 2022
- Research & Ideas
Digital Transformation: A New Roadmap for Success
different generations in the workforce: digital natives, who grew up with digital tools; digital immigrants, who are open to learning and changing; and digital refugees, who avoid digital tools they view as unsettling and scary. While not... View Details
- 01 Dec 2023
- News
3-Minute Briefing: Nathaniel Fick (MBA/MPA 2008)
As a Marine, I led some of the first units in Afghanistan and Iraq. What I loved about that experience was the intersection of a mission with building and leading teams. I came to HBS to develop the tools around that work, but in a very different context. On the... View Details
Keywords: Julia Hanna