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Show Results For
- All HBS Web
(4,749)
- People (10)
- News (1,041)
- Research (2,896)
- Events (66)
- Multimedia (35)
- Faculty Publications (1,661)
- January 2014
- Case
Social Strategy at Cisco Systems
By: Mikolaj Jan Piskorski, Daniel Malter and Aaron Smith
In April 2013, Jeanne Beliveau-Dunn, vice president and general manager for Learning@Cisco Systems, was planning the future of the Cisco Learning Network, an online platform hosted at Cisco.com. Since its launch in 2008, the Cisco Learning Network provided content to... View Details
Keywords: Networks; Digital Platforms; Internet and the Web; Competency and Skills; Learning; Web Services Industry
Piskorski, Mikolaj Jan, Daniel Malter, and Aaron Smith. "Social Strategy at Cisco Systems." Harvard Business School Case 714-475, January 2014.
- 11 Mar 2014
- First Look
First Look: March 11
Choudhury, Prithwiraj Abstract—I study whether return migrants and their direct reports facilitate knowledge production and transfer across borders for multinationals. Using... View Details
Keywords: Sean Silverthorne
- 21 Feb 2005
- Op-Ed
Is Business Management a Profession?
understands to be its causes. Turning to the body of systematized knowledge underpinning the claim that business management too is a profession, we find important differences between management as a science View Details
- 25 Aug 2015
- First Look
First Look Tuesday
Working Papers Patent Publication and the Market for Ideas By: Hegde, Deepak, and Hong Luo Abstract—In this paper, we study the effect of invention disclosure-through patent... View Details
- January 2009 (Revised July 2010)
- Case
iZumi
By: Robert F. Higgins, Jacob Ian Broder-Fingert, Eliot Sherman and Sidhartha Palani
Presents the issues faced while building an innovative company in an emerging space with new intellectual property from the perspective of a venture capitalist. Beth Seidenberg, a partner at the venture capital firm Kleiner Perkins Caufield & Byers (KPCB), had helped... View Details
- 2024
- Article
Learning Under Random Distributional Shifts
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... View Details
Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- 2022
- Working Paper
Where the Cloud Rests: The Location Strategies of Data Centers
By: Shane Greenstein and Tommy Pan Fang
This study provides an analysis of the entry strategies of third-party data centers in the United States. We examine the market before the pandemic in 2018 and 2019, when supply and demand for data services were geographically stable. We compare with the entry... View Details
Greenstein, Shane, and Tommy Pan Fang. "Where the Cloud Rests: The Location Strategies of Data Centers." Harvard Business School Working Paper, No. 21-042, September 2020. (Revised June 2022.)
- 25 Mar 2022
- Blog Post
Meet the HBS Women's Student Association
their “final review sessions,” where RC (first-year) women take the stage in Klarman Hall, at HBS, and present the content covered during the term to their peers to help them study for exams. The WSA final... View Details
- Forthcoming
- Article
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." Journal of Marketing Research (JMR) (forthcoming).
- 29 Jan 2024
- Research & Ideas
Do Disasters Rally Support for Climate Action? It's Complicated.
Environmental disasters like wildfires can ignite awareness of climate change and boost eco-friendly politicians’ careers. But do voters perceive a tradeoff between environmental policies and local economic growth? In Brazil, home to a majority of the Amazon tropical... View Details
Keywords: by Rachel Layne
- 14 Apr 2015
- First Look
First Look: April 14
collection of innovative research and management insights that build upon the foundations of the first book but takes the study of brand relationships outside of traditional realms by applying new... View Details
Keywords: Sean Silverthorne
- 22 Mar 2011
- First Look
First Look: March 22
PublicationsForward: The Future of Consumer Credit and Mortgage Finance Authors:Nicolas P. Retsinas and Eric Belsky, eds. Publication:Brookings Institution Press and Joint... View Details
Keywords: Sean Silverthorne
- July 2011
- Article
Mixed Source
By: Ramon Casadesus-Masanell and Gaston Llanes
We study competitive interaction between a profit-maximizing firm that sells software and complementary services and a free open source competitor. We examine the firm's choice of business model between the proprietary model (where all software modules are... View Details
Keywords: Competition; Open Source Distribution; Profit; Sales; Applications and Software; Service Operations; Business Model; Decision Choices and Conditions; Quality; Value Creation
Casadesus-Masanell, Ramon, and Gaston Llanes. "Mixed Source." Management Science 57, no. 7 (July 2011): 1212–1230.
- 09 Feb 2016
- First Look
February 9, 2016
illustrates what a Strategic Deal Profile is, why it is important, and the issues involved in making such a Profile part of actual selling behaviors and performance management practices. Publisher's link:... View Details
Keywords: Sean Silverthorne
- 01 Oct 2012
- Research & Ideas
Better by the Bundle?
research that culminated in their paper The Dynamic Effects of Bundling as a Product Strategy. Kumar and Derdenger studied the handheld video game market between 2001 and 2005,... View Details
Keywords: by Dina Gerdeman
- 25 Jan 2011
- First Look
First Look: Jan. 25
high-beta stocks. An Empirical Analysis of Innovation Contests: Strategic Incentives, Problem Uncertainty and Independent Experimentation along Parallel Paths Authors:Kevin J. Boudreau, Nicola Lacetera, and... View Details
Keywords: Sean Silverthorne
- June 2023
- Article
When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
As machine learning (ML) models are increasingly being employed to assist human decision
makers, it becomes critical to provide these decision makers with relevant inputs which can
help them decide if and how to incorporate model predictions into their decision... View Details
McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Transactions on Machine Learning Research (TMLR) (June 2023).
- 2019
- Working Paper
Real Exchange Rate Behavior: New Evidence from Matched Retail Goods
By: Alberto Cavallo, Brent Neiman and Roberto Rigobon
We use a dataset containing daily prices for thousands of matched retail products in nine countries to study tradable-goods real exchange rates. Prices were collected from the websites of large multi-channel retailers and then carefully matched into narrowly-defined... View Details
Keywords: Purchasing Power Parity; Online Prices; Real Exchange Rate; Macroeconomics; Currency Exchange Rate; Price; Internet and the Web
Cavallo, Alberto, Brent Neiman, and Roberto Rigobon. "Real Exchange Rate Behavior: New Evidence from Matched Retail Goods." Harvard Business School Working Paper, No. 20-040, January 2019.
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.