Filter Results:
(1,270)
Show Results For
- All HBS Web
(2,112)
- News (385)
- Research (1,270)
- Events (19)
- Multimedia (4)
- Faculty Publications (425)
Show Results For
- All HBS Web
(2,112)
- News (385)
- Research (1,270)
- Events (19)
- Multimedia (4)
- Faculty Publications (425)
Sort by
- 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).
- 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
- 19 Dec 2023
- Research & Ideas
The 10 Most Popular Articles of 2023
Soon after ChatGPT debuted in late 2022, business leaders began taking their first steps into generative artificial intelligence, approaching this powerful technology with a mix of awe and trepidation. It’s no surprise that one of the... View Details
Keywords: by Danielle Kost
- 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.
- 2023
- Working Paper
What Do Impact Investors Do Differently?
In recent years, impact investors – private investors who seek to generate simultaneously financial and social returns – have attracted intense interest and controversy. We analyze a novel, comprehensive data set of impact and traditional investors to assess how the... View Details
Keywords: ESG; Socially Responsible Investing; Investment Decisions; Public Goods; Impact Investment; Investment; Private Equity; Venture Capital
Cole, Shawn, Leslie Jeng, Josh Lerner, Natalia Rigol, and Benjamin N. Roth. "What Do Impact Investors Do Differently?" Harvard Business School Working Paper, No. 24-028, November 2023. (Reject and Resubmit, Journal of Financial Economics.)
- October 2002 (Revised May 2003)
- Background Note
Why Study Large Projects?
By: Benjamin C. Esty
Explains why project companies in general and large projects in particular represent an interesting and managerially relevant subset of total capital investment and why they merit academic research and instruction. Serves as an introductory note for the Large-scale... View Details
Esty, Benjamin C. "Why Study Large Projects?" Harvard Business School Background Note 203-031, October 2002. (Revised May 2003.)
- 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 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.)
- 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.
- 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.)
- Article
Counterfactual Explanations Can Be Manipulated
By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details
Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 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.
- 16 Apr 2009
- Working Paper Summaries
Phenomenological Assumptions and Knowledge Dissemination within Organizational Studies
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such... View Details
Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
- 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).
- September 2017
- Case
Sensing (and Monetizing) Happiness at Hitachi
By: Ethan Bernstein and Stephanie Marton
Inspired by research linking happiness and productivity, Hitachi had invested in developing new “people analytics” technologies to help companies increase employee happiness. Hitachi had begun manufacturing high-tech badges that quantify a wearer’s activity patterns.... View Details
Keywords: People Analytics; Japan; Sociometers; Wearables; Interpersonal Communication; Human Resources; Happiness; Technology Industry; Japan
Bernstein, Ethan, and Stephanie Marton. "Sensing (and Monetizing) Happiness at Hitachi." Harvard Business School Case 418-019, September 2017.
- 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.
- January 2004 (Revised April 2004)
- Case
Excel Academy Charter Middle School, The
This case is set in the summer of 2002 in a recently approved charter middle school in Boston. The school's founders face a choice of compensation plans as they finalize the initial teaching team in the school. In particular, the founders are actively considering two... View Details
Leschly, Stig. "Excel Academy Charter Middle School, The." Harvard Business School Case 804-113, January 2004. (Revised April 2004.)
- 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.)