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- All HBS Web
(2,146)
- News (416)
- Research (1,287)
- Events (25)
- Multimedia (3)
- Faculty Publications (442)
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- 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).
- 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
- 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
- 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).
- 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
- 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... View Details
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.
- 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
- February 2014
- Case
BGI: Data-driven Research
By: Willy Shih and Sen Chai
BGI has the largest installed gene-sequencing capacity in the world, and to Zhang Gengyun, general manager of the Life Sciences Division, this represented an opportunity to apply his training as a plant breeder and his early career work as a biochemist to improving... View Details
Keywords: Genomics; Gene Sequencing; Life Sciences; Plant Breeding; Human Genome Program; Beijing Genomics Institute; BGI; Rice Genome; Technological Innovation; Innovation Strategy; Research; Research and Development; Science; Genetics; Science-Based Business; Strategy; Commercialization; Corporate Strategy; Information Technology; Applications and Software; Agriculture and Agribusiness Industry; Biotechnology Industry; Food and Beverage Industry; China; United States
Shih, Willy, and Sen Chai. "BGI: Data-driven Research." Harvard Business School Case 614-056, February 2014.
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- June 1992
- Case
Arundel Partners: The Sequel Project
By: Timothy A. Luehrman and William A. Teichner
A group of investors is considering buying the sequel rights for a portfolio of feature films. They need to determine how much to offer to pay and how to structure a contract with one or more major U.S. film studios. The case contains cash flow estimates for all major... View Details
Keywords: Rights; Debt Securities; Contracts; Cash Flow; Valuation; Capital Budgeting; Entertainment and Recreation Industry; Motion Pictures and Video Industry; United States
Luehrman, Timothy A., and William A. Teichner. "Arundel Partners: The Sequel Project." Harvard Business School Case 292-140, June 1992.
- February 1976 (Revised November 1983)
- Case
EG&G, Inc. (B)
Raises the dilemmas of making strategic decisions within an organizational construct. The divestment of a division of the company raises not only strategic issues but organizational and interpersonal ones as well. The decision is framed through the strategic planning... View Details
Keywords: Business Divisions; Decisions; Business or Company Management; Organizations; Strategic Planning; Strategy; Service Industry
Porter, Michael E. "EG&G, Inc. (B)." Harvard Business School Case 376-188, February 1976. (Revised November 1983.)
- 09 Jan 2024
- In Practice
Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year
the assistance of ChatGPT) Throughout 2023, we dedicated considerable effort to assessing whether the recent strides in generative AI were mere fads or indicative of a transformative future. This period was marked by extensive... View Details
- Article
Matching Firms, Managers, and Incentives
By: Oriana Bandiera, Luigi Guiso, Andrea Prat and Raffaella Sadun
We combine unique administrative and survey data to study the match between firms and managers. The data include manager characteristics, firm characteristics, detailed measures of managerial practices, and outcomes for the firm and the manager. A parsimonious model of... View Details
Bandiera, Oriana, Luigi Guiso, Andrea Prat, and Raffaella Sadun. "Matching Firms, Managers, and Incentives." Journal of Labor Economics 33, no. 3 (July 2015): 623–681.
- December 1992 (Revised June 1993)
- Case
ACTC Customer Service Department
Focuses on the young general manager of a new cable TV system and on its customer service department. Jeanne LaFrance, the general manager, has an uneasy feeling about the way in which the department is being managed. She sees symptoms of what she suspects are serious... View Details
Keywords: Management; Problems and Challenges; Planning; Customer Focus and Relationships; Performance Evaluation; Telecommunications Industry
Roberts, Michael J. "ACTC Customer Service Department." Harvard Business School Case 393-056, December 1992. (Revised June 1993.)
- November 1980 (Revised August 1986)
- Case
Progressive Corp.'s Divisionalization Decision (A)
By: Robert G. Eccles Jr.
Describes a company that is considering whether to establish an experimental division as a relatively independent profit center under a general manager. Data relevant to this decision include the company's strategy, markets, products, current structure, size, and the... View Details
Keywords: Business Divisions; Decision Making; Data and Data Sets; Managerial Roles; Organizational Design; Situation or Environment
Eccles, Robert G., Jr. "Progressive Corp.'s Divisionalization Decision (A)." Harvard Business School Case 481-067, November 1980. (Revised August 1986.)
- 16 Apr 2009
- Working Paper Summaries
Phenomenological Assumptions and Knowledge Dissemination within Organizational Studies
- June 2012 (Revised March 2014)
- Case
I Paid a Bribe (Dot) Com
By: Karthik Ramanna and Rachna Tahilyani
Anti-corruption web platform "ipaidabribe.com" leverages the transparency and anonymity of the Internet to encourage private citizens in India who have been the victims of corruption to self-report details of bribes paid, including the bribe amount, the name of the... View Details
Ramanna, Karthik, and Rachna Tahilyani. "I Paid a Bribe (Dot) Com ." Harvard Business School Case 112-078, June 2012. (Revised March 2014.)
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- Article
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
- July, 2024
- Article
Consumer Protection in an Online World: An Analysis of Occupational Licensing
By: Chiara Farronato, Andrey Fradkin, Bradley Larsen and Erik Brynjolfsson
We study the demand and supply implications of occupational licensing using transaction-level data from a large online platform for home improvement services. We find that demand is more responsive to a professional's reviews than to the professional's... View Details
Keywords: Occupational Licensing; Consumer Protection; Perception; Experience and Expertise; Public Opinion; Governing Rules, Regulations, and Reforms; Demand and Consumers
Farronato, Chiara, Andrey Fradkin, Bradley Larsen, and Erik Brynjolfsson. "Consumer Protection in an Online World: An Analysis of Occupational Licensing." American Economic Journal: Applied Economics 16, no. 3 (July, 2024): 549–579.