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Show Results For
- All HBS Web
(2,016)
- News (385)
- Research (1,295)
- Events (19)
- Multimedia (4)
- Faculty Publications (425)
- February 2001
- Case
PlanetFeedback: The Voice of One ... The Power of Many (A)
By: James L. Heskett
The management of PlanetFeedback in proposes a merger with Intelliseek. Their goal is to create a comprehensive C2B and B2B business focused on the generation and analysis for business clients of consumer feedback data via the Internet, Planet Feedback's board of... View Details
Keywords: Mergers and Acquisitions; Decisions; Information Management; Analytics and Data Science; Business Strategy; Internet and the Web; Information Technology Industry
Heskett, James L. "PlanetFeedback: The Voice of One ... The Power of Many (A)." Harvard Business School Case 901-051, February 2001.
Jacob M. Cook
Jake Cook is a Lecturer of Business Administration in the Marketing Unit at Harvard Business School and an entrepreneur with a deep-seated passion for e-commerce, digital marketing, and AI.
As a Cofounder and CEO of... View Details
- 17 Oct 2019
- Working Paper Summaries
Persuasion by Populist Propaganda: Evidence from the 2015 Argentine Ballotage
- 23 May 2016
- News
The Biggest Challenges of Data-Driven Manufacturing
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- October 2021 (Revised December 2021)
- Case
Customer-Centric Design with Artificial Intelligence: Commonwealth Bank
By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo
As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer... View Details
Keywords: Artificial Intelligence; Customer-centricity; Banks and Banking; Customer Focus and Relationships; Technological Innovation; Transformation; Organizational Change and Adaptation; Performance; AI and Machine Learning; Financial Services Industry; Australia
Lakhani, Karim R., Yael Grushka-Cockayne, Jin Hyun Paik, and Steven Randazzo. "Customer-Centric Design with Artificial Intelligence: Commonwealth Bank." Harvard Business School Case 622-065, October 2021. (Revised December 2021.)
- 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.
- 17 Mar 2021
- Working Paper Summaries
Consuming Contests: Outcome Uncertainty and Spectator Demand for Contest-based Entertainment
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- 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 applied to the right tasks. What... View Details
Michael I. Parzen
Michael Parzen is a Senior Lecturer in the Technology and Operations Management unit at Harvard Business School. He is an applied statistician with extensive experience in data science education and currently teaches Applied Business Analytics as an MBA elective... View Details
Miaomiao Zhang
Miaomiao Zhang is a doctoral candidate at the Technology & Operations Management Unit at Harvard Business School. Miaomiao received a B.S. in Applied Mathematics & Statistics and Economics from Emory Univeresity. She worked at the Strategy Unit at Harvard... View Details
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
Keywords: Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 17 Dec 2015
- News
Don't Focus on Hiring a Superstar. Just Avoid Toxic Workers
- 13 Jul 2020
- News
Roles Foundations Play in Shaping Impact Investing
- 19 Sep 2023
- HBS Case
How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?
The dizzying explosion of generative artificial intelligence platforms has been the big business story of the past year, but how they’ll make money and how smart companies can use them wisely are the questions that will dominate the next... View Details
- December 4, 2023
- Comment
The Great Resignation, Employment, and Wages in Health Care
By: Amitabh Chandra and Louis-Jonas Heizlsperger
Notwithstanding concerns about staffing levels and burnout in health care, federal wage and employment data does not support the suggestion that a COVID-19 pandemic-related spike in quitting has had an enduring impact for hospitals or physician offices. Employment in... View Details
Chandra, Amitabh, and Louis-Jonas Heizlsperger. "The Great Resignation, Employment, and Wages in Health Care." NEJM Catalyst (December 4, 2023).
- 18 Mar 2011
- News
Better Retail Performance Predictions
- 23 Jan 2024
- Research & Ideas
How to Keep Employees Productive: Support Caregivers
understand why they’re not showing up?” says Fuller, who co-chairs the Project on the Workforce at Harvard. The good news: As more leaders move into the sandwich generation and care for aging parents while raising children, the more... View Details
Keywords: by Kara Baskin
- 20 Jun 2023
- Research & Ideas
Looking to Leave a Mark? Memorable Leaders Don't Just Spout Statistics, They Tell Stories
newspaper article is not just numbers.” But that doesn’t mean there’s no role for statistics; arguments and pitches that rely on data and numbers can be more effective in some circumstances, notes the research, which Graeber conducted... View Details
Keywords: by Scott Van Voorhis