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Show Results For
- All HBS Web
(390)
- News (50)
- Research (289)
- Events (1)
- Multimedia (2)
- Faculty Publications (138)
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- 04 May 2010
- First Look
First Look: May 4
Biomedical: Making Pigs Fly Richard G. Hamermesh, Lauren Barley, and Ginger L. GrahamHarvard Business School Case 809-051 Proteus is a healthcare start-up that has developed technology to embed electronics for computing and sensing in... View Details
Keywords: Martha Lagace
- 09 May 2017
- First Look
New Research and Ideas, May 9
a sovereign default may affect the economy. 2017 Green Capitalism? Business and the Environment in the Twentieth Century Entrepreneurship, Policy, and the Geography of Wind Energy By: Jones, G. Abstract—This study examines the geography... View Details
Keywords: Sean Silverthorne
- 20 Jan 2015
- First Look
First Look: January 20
Scrutiny, Norms, and Selective Disclosure: A Global Study of Greenwashing By: Marquis, Christopher, and Michael W. Toffel Abstract—Under increased pressure to report environmental impacts, some firms selectively disclose relatively benign... View Details
Keywords: Sean Silverthorne
- 06 Mar 2012
- First Look
First Look: March 6
and Michael W. Toffel Abstract Mandatory information disclosure regulations seek to create institutional pressure to spur performance improvement. By examining how organizational characteristics moderate facilities' responses to a... View Details
Keywords: Sean Silverthorne
- 11 Dec 2007
- First Look
First Look: December 11, 2007
Development, edited by Thomas G. Cummings. Sage Publications, Inc., 2007 Abstract When it comes to transforming big corporations, there are two fundamentally different strategies, says Harvard Business School professor View Details
Keywords: Martha Lagace
- April 2009
- Journal Article
Perspectives on the Productivity Dilemma
By: Paul S. Adler, Mary Benner, David James Brunner, John Paul MacDuffie, Emi Osono, Bradley R. Staats, Hirotaka Takeuchi, Michael Tushman and Sidney G. Winter
For more than a century, operations researchers have recognized that organizations can increase efficiency by adhering strictly to proven process templates, thereby rendering operations more stable and predictable. For several decades, researchers have also recognized... View Details
Keywords: Learning; Innovation and Invention; Knowledge Use and Leverage; Operations; Business Processes; Organizational Change and Adaptation; Performance Efficiency; Performance Improvement; Performance Productivity; Adaptation
Adler, Paul S., Mary Benner, David James Brunner, John Paul MacDuffie, Emi Osono, Bradley R. Staats, Hirotaka Takeuchi, Michael Tushman, and Sidney G. Winter. "Perspectives on the Productivity Dilemma." Journal of Operations Management 27, no. 2 (April 2009): 99–113.
- 26 Jan 2010
- First Look
First Look: Jan. 26
http://www.hbs.edu/research/pdf/10-057.pdf Optimal Auction Design and Equilibrium Selection in Sponsored Search Auctions Authors:Benjamin Edelman and Michael Schwarz An abstract is unavailable at this time. Download the paper:... View Details
Keywords: Martha Lagace
- 19 Jan 2011
- First Look
First Look: Jan. 18
In this article, Pozen presents a new model for the corporate board. Read the article: http://hbr.org/2010/12/the-big-idea-the-case-for-professional-boards/ar/1# M@n@gement in Times of Economic Crisis: Insights into Organizational Ambidexterity Authors:Achim Schmitt,... View Details
Keywords: Sean Silverthorne
- September 15, 2021
- Article
Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map
By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian
A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific... View Details
Keywords: Deconvolution; Methods; Open Innovation Competition; Genomics; Research; Innovation and Invention
Blasco, Andrea, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani, and Aravind Subramanian. "Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map." Bioinformatics 37, no. 18 (September 15, 2021).
- 10 Apr 2012
- First Look
First Look: April 10
patterns with the calorie labeling present. These findings highlight the potential importance of portion control interventions that specifically activate consumers' self-control. Environmental Federalism in the European Union and the United States Authors:David Vogel,... View Details
Keywords: Carmen Nobel
- 28 Jan 2014
- First Look
First Look: January 28
Populations By: Gray, Kurt, David G. Rand, Eyal Ert, Kevin Lewis, Steve Hershman, and Michael I. Norton Abstract—Psychological explanations of group genesis often require population heterogeneity in identity... View Details
Keywords: Sean Silverthorne
- 14 Feb 2012
- First Look
First Look: February 14
can make organizational learning happen by building teams that learn. Publisher's Link: http://www.wiley.com/WileyCDA/WileyTitle/productCd-078797093X.html The Gifts We Keep on Giving: Documenting and Destigmatizing the Regifting Taboo Authors:Gabrielle S. Adams,... View Details
Keywords: Carmen Nobel
- 26 Feb 2008
- First Look
First Look: February 26, 2008
time. Optimal Deterrence When Judgment-Proof Agents Are Paid in Arrears—With an Application to Online Advertising Fraud Author:Benjamin G. Edelman Abstract I develop a screening model with delayed payments and probabilistic delayed... View Details
Keywords: Martha Lagace
- Article
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
- Article
Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting
By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial... View Details
Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning
Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
- 12 Oct 2011
- First Look
First Look: October 12
Michael Schwarz Abstract We consider market rules for the transfer of IP addresses, numeric identifiers required by all computers connected to the Internet. Excessive fragmentation of IP address blocks causes growth in the Internet's... View Details
Keywords: Sean Silverthorne
- March 2023
- Article
Reaching for Rigor and Relevance: Better Marketing Research for a Better World
By: Shilpa Madan, Gita Venkataramani Johar, Jonah Berger, Pierre Chandon, Rajesh Chandy, Rebecca Hamilton, Leslie John, Aparna Labroo, Peggy J. Liu, John G. Lynch, Nina Mazar, Nicole Mead, Vikas Mittal, Christine Moorman, Michael I. Norton, John Roberts, Dilip Soman, Madhu Viswanathan and Katherine White
Over the past several decades, scholars have highlighted the obligations and opportunities for marketing as a discipline to play a role in creating a better world — or risk becoming irrelevant for the largest problems facing consumers and society. Climate change,... View Details
Keywords: COVID-19 Pandemic; Marketing; Social Issues; Corporate Social Responsibility and Impact; Business and Community Relations; Research
Madan, Shilpa, Gita Venkataramani Johar, Jonah Berger, Pierre Chandon, Rajesh Chandy, Rebecca Hamilton, Leslie John, Aparna Labroo, Peggy J. Liu, John G. Lynch, Nina Mazar, Nicole Mead, Vikas Mittal, Christine Moorman, Michael I. Norton, John Roberts, Dilip Soman, Madhu Viswanathan, and Katherine White. "Reaching for Rigor and Relevance: Better Marketing Research for a Better World." Marketing Letters 34, no. 1 (March 2023): 1–12.
- Article
Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions
By: Andrea Blasco, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian and Karim R. Lakhani
Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research where the use of competitions has yielded significant... View Details
Keywords: Computational Biology; Bioinformatics; Innovation Competitions; Research; Collaborative Innovation and Invention
Blasco, Andrea, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian, and Karim R. Lakhani. "Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions." PLoS ONE 14, no. 9 (September 2019).
- March 12, 2009
- Article
A Nonsimultaneous, Extended, Altruistic-Donor Chain
By: Michael A. Rees, Jonathan E. Kopke, Ronald P. Pelletier, Dorry L. Segev, Matthew E. Rutter, Alfredo J. Fabrega, Jeffrey Rogers, Oleh G. Pankewycz, Janet Hiller, Alvin E. Roth, Tuomas Sandholm, Utku Unver and Robert A. Montgomery
Rees, Michael A., Jonathan E. Kopke, Ronald P. Pelletier, Dorry L. Segev, Matthew E. Rutter, Alfredo J. Fabrega, Jeffrey Rogers, Oleh G. Pankewycz, Janet Hiller, Alvin E. Roth, Tuomas Sandholm, Utku Unver, and Robert A. Montgomery. "A Nonsimultaneous, Extended, Altruistic-Donor Chain." New England Journal of Medicine 360, no. 11 (March 12, 2009): 1096–1101.
- October 2019
- Article
Adaptive Platform Trials: Definition, Design, Conduct and Reporting Considerations
By: Derek C. Angus, Brian M. Alexander, Scott Berry, Meredith Buxton, Roger Lewis, Melissa Paoloni, Steven A. R. Webb, Steven Arnold, Anna Barker, Donald A. Berry, Marc J. M. Bonten, Mary Brophy, Christopher Butler, Timothy F. Cloughesy, Lennie P. G. Derde, Laura J. Esserman, Ryan Ferguson, Louis Fiore, Sarah C. Gaffey, J. Michael Gaziano, Kathy Giusti, Herman Goossens, Stephane Heritier, Bradley Hyman, Michael Krams, Kay Larholt, Lisa M. LaVange, Philip Lavori, Andrew W. Lo, Alexander J. London, Victoria Manax, Colin McArthur, Genevieve O’Neill, Giovanni Parmigiani, Jane Perlmutter, Elizabeth A. Petzold, Craig Ritchie, Kathryn M. Rowan, Christopher W. Seymour, Nathan I. Shapiro, Diane M. Simeone, Bradley Smith, Bradley Spellberg, Ariel Dora Stern, Lorenzo Trippa, Mark Trusheim, Kert Viele, Patrick Y. Wen and Janet Woodcock
Researchers, clinicians, policymakers, and patients are increasingly interested in questions about therapeutic interventions that are difficult or costly to answer with traditional, free-standing, parallel-group randomized controlled trials (RCTs). Examples include... View Details
Angus, Derek C., Brian M. Alexander, Scott Berry, Meredith Buxton, Roger Lewis, Melissa Paoloni, Steven A. R. Webb, Steven Arnold, Anna Barker, Donald A. Berry, Marc J. M. Bonten, Mary Brophy, Christopher Butler, Timothy F. Cloughesy, Lennie P. G. Derde, Laura J. Esserman, Ryan Ferguson, Louis Fiore, Sarah C. Gaffey, J. Michael Gaziano, Kathy Giusti, Herman Goossens, Stephane Heritier, Bradley Hyman, Michael Krams, Kay Larholt, Lisa M. LaVange, Philip Lavori, Andrew W. Lo, Alexander J. London, Victoria Manax, Colin McArthur, Genevieve O’Neill, Giovanni Parmigiani, Jane Perlmutter, Elizabeth A. Petzold, Craig Ritchie, Kathryn M. Rowan, Christopher W. Seymour, Nathan I. Shapiro, Diane M. Simeone, Bradley Smith, Bradley Spellberg, Ariel Dora Stern, Lorenzo Trippa, Mark Trusheim, Kert Viele, Patrick Y. Wen, and Janet Woodcock. "Adaptive Platform Trials: Definition, Design, Conduct and Reporting Considerations." Nature Reviews: Drug Discovery 18, no. 10 (October 2019): 797–807.