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- All HBS Web
(5,025)
- People (32)
- News (1,166)
- Research (2,360)
- Events (33)
- Multimedia (59)
- Faculty Publications (1,678)
Show Results For
- All HBS Web
(5,025)
- People (32)
- News (1,166)
- Research (2,360)
- Events (33)
- Multimedia (59)
- Faculty Publications (1,678)
- June 1983 (Revised July 1985)
- Case
Workbench (A): Decision on Store Network
By: Walter J. Salmon
Salmon, Walter J. "Workbench (A): Decision on Store Network." Harvard Business School Case 583-166, June 1983. (Revised July 1985.)
- 18 Mar 2011
- News
Social Networks Will Change Product Innovation
- 01 May 2013
- News
Networking site targets members of military
- 5 Aug 2005 - 10 Aug 2005
- Conference Presentation
The effects of culture and network density on trust in Chinese vs American managerial networks
By: Roy Y.J. Chua, M. W. Morris and P. Ingram
- August 2024
- Case
Zipline: Expanding the World's Largest Autonomous Drone Delivery Network
By: Tarun Khanna and George Gonzalez
Zipline initially established the world's largest logistics network in Rwanda and Ghana by delivering medical supplies to hospitals via automated drones from a centralized hub. The company is now looking to expand to the U.S. home delivery market and designed a... View Details
Keywords: Governing Rules, Regulations, and Reforms; Growth and Development Strategy; Logistics; Expansion; Air Transportation; Business Model; Rwanda; Ghana; United States
Khanna, Tarun, and George Gonzalez. "Zipline: Expanding the World's Largest Autonomous Drone Delivery Network." Harvard Business School Case 725-381, August 2024.
- Article
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez
Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details
Yang, Wanqian, Lars Lorch, Moritz Graule, Himabindu Lakkaraju, and Finale Doshi-Velez. "Incorporating Interpretable Output Constraints in Bayesian Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- November 2019
- Case
Chief: Role for Carolyn Childers
In 2018, Carolyn Childers is preparing to launch Chief, a New York-based peer network for women executives, and must decide whether to bring on a co-founder. After becoming the senior vice president of operations at her previous company, Childers was inspired to build... View Details
Coffman, Katherine B., Jeffrey J. Bussgang, Kathleen L. McGinn, Katherine Chen, and Julia Kelley. "Chief: Role for Carolyn Childers." Harvard Business School Case 920-019, November 2019.
- March 2013
- Teaching Note
Your Social Network Over Time (TN)
By: Mikolaj J. Piskorski and Andreea Gorbatai
- 2013
- Other Unpublished Work
Platforms and Limits to Network Effects
By: Mikolaj Jan Piskorski and Hanna Halaburda
Piskorski, Mikolaj Jan, and Hanna Halaburda. "Platforms and Limits to Network Effects." (Management Science, First Round Revise and Resubmit.)
- March 2011
- Teaching Note
The CW: Launching a Television Network
By: Anita Elberse
Teaching Note for 507050. View Details
- 09 Feb 2015
- News
Professional Networking Makes People Feel Dirty
- 06 Mar 2020
- News
Networking Doesn’t Have to Be Self-Serving
- 1998
- Conference Presentation
Network Location and Learning: The Influence of Network Resources and Firm Capabilities on Alliance Formation
By: Ranjay Gulati
- 02 Oct 2000
- Research & Ideas
Networked Incubators: Hothouses of the New Economy
important and lasting way of creating value and wealth in the new economy? Morten Hansen, Henry Chesbrough, Nitin Nohria, and Donald Sull argue that one type of incubator, called a networked incubator, represents a fundamentally new and... View Details
- December 2007
- Article
Contingent Political Capital and International Alliances: Evidence from South Korea
By: Jordan I. Siegel
Though prior research has suggested that a company's ties to political networks have only a positive value or no value, this study examines whether political network ties can also be a significant liability for companies. Analyzing South Korea as a representative... View Details
Keywords: Political Networks; Sociopolitical Networks; Government and Politics; Capital; Alliances; South Korea
Siegel, Jordan I. "Contingent Political Capital and International Alliances: Evidence from South Korea." Administrative Science Quarterly 52, no. 4 (December 2007): 621 – 666. (Though prior research has suggested that a company's ties to political networks have only a positive value or no value, this study examines whether political network ties can also be a significant liability for companies. Analyzing South Korea as a representative emerging economy, I find that being tied through elite sociopolitical networks to the regime in power significantly increased the rate at which South Korean companies formed cross-border strategic alliances, but also that being tied through elite sociopolitical networks to the political enemies of the regime in power significantly decreased that rate. Results show that an unexpected change in political regime could quickly change a political liability into an asset and that network ties continued to be important determinants of cross-border alliance activity as South Korea proceeded with liberalization. The present study sheds further light on the so-called dark side of embeddedness by focusing on who is negatively targeted by having the "wrong friends" at the wrong time. Just as positive ties can lead to favor exchange and other benefits for companies, negative ties can lead companies to be the victims of discrimination, resource exclusion, and even occasional expropriation and sabotage between rival sociopolitical networks.)
- January 2021 (Revised October 2021)
- Case
eToro: Building the World's Largest Social Trading Network
By: Elie Ofek and Danielle Golan
Social trading platform eToro was preparing for the launch of its expanded offering in the U.S. The company faced critical decisions regarding product-market fit, go-to-market strategy, positioning and monetization. Moreover, it faced the challenge of how best to make... View Details
Keywords: Social Trading Platform; Investment; Social and Collaborative Networks; Marketing Strategy; Expansion; Digital Platforms
Ofek, Elie, and Danielle Golan. "eToro: Building the World's Largest Social Trading Network." Harvard Business School Case 521-057, January 2021. (Revised October 2021.)
- Article
Collection, Exploration and Analysis of Crowdfunding Social Networks
By: Miao Cheng, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang and Po-Ling Loh
Crowdfunding is a recent financing phenomenon that is gaining wide popularity as a means for startups to raise seed funding for their companies. This paper presents our initial results at understanding this phenomenon using an exploratory data driven approach. We have... View Details
Cheng, Miao, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang, and Po-Ling Loh. "Collection, Exploration and Analysis of Crowdfunding Social Networks." Proceedings of the International Workshop on Exploratory Search in Databases and the Web 3rd (2016): 25–30.
- 25 Apr 2019
- Research & Ideas
Incubators Take Notice: Your Entrepreneurs Are Networking with the Wrong People
Past research suggests that nearby peers are more likely to influence performance than those far away, which explains why scientists work side-by-side at lab benches. But can entrepreneurs expect the same benefit at the networking... View Details
Keywords: by Danielle Kost
- 2023
- Working Paper
Black-box Training Data Identification in GANs via Detector Networks
By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.