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  • All HBS Web  (31)
    • Faculty Publications  (8)

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    • All HBS Web  (31)
      • Faculty Publications  (8)

      Crowdsourcing Contests Remove Crowdsourcing Contests →

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      • Article

      The Price of Anarchy of Self-Selection in Tullock Contests

      By: Hau Chan, David C. Parkes and Karim R. Lakhani
      Crowdsourcing platforms operate by offering their clients the ability to obtain cost-effective solutions for their problems through contests. The top contestants with the best solutions are rewarded, and the submitted solutions are provided to the clients. Within the...  View Details
      Keywords: Crowdsourcing Contests; Game Theory
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      Chan, Hau, David C. Parkes, and Karim R. Lakhani. "The Price of Anarchy of Self-Selection in Tullock Contests." Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 19th (2020): 1795–1797.
      • Article

      Innovation Contests for High-Tech Procurement

      By: Jin Hyun Paik, Martin Scholl, Rinat A. Sergeev, Steven Randazzo and Karim R. Lakhani
      Innovation managers rarely use crowdsourcing as an innovative instrument despite extensive academic and theoretical research. The lack of tools available to compare and measure crowdsourcing, specifically contests, against traditional methods of procuring goods and...  View Details
      Keywords: Open Innovation; Contests; Crowdsourcing; Nasa; Evaluation; Acquisition; Information Technology; Innovation and Invention; Performance Evaluation; Framework
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      Hyun Paik, Jin, Martin Scholl, Rinat A. Sergeev, Steven Randazzo, and Karim R. Lakhani. "Innovation Contests for High-Tech Procurement." Research-Technology Management 63, no. 2 (March–April 2020): 36–45.
      • 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
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      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.
      • March 2019
      • Article

      A Structural Analysis of the Role of Superstars in Crowdsourcing Contests

      By: Shunyuan Zhang, Param Singh and Anindya Ghose
      We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve...  View Details
      Keywords: Crowdsourcing Contests; Superstar Effect; Bayesian Learning; Utility; Economics Of Information System; Dynamic Structural Model; Dynamic Programming; Markov Chain; Monte Carlo; Learning; Competition; Performance Improvement
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      Zhang, Shunyuan, Param Singh, and Anindya Ghose. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests." Information Systems Research 30, no. 1 (March 2019): 15–33.
      • July 2018 (Revised December 2018)
      • Case

      SOFWERX: Innovation at U.S. Special Operations Command

      By: Herman Leonard, Mitchell Weiss, Jin Hyun Paik and Kerry Herman
      James “Hondo” Geurts, the Acquisition Executive for U.S. Special Operations Command, was in the middle of his Senate confirmation hearing in 2017 to become Assistant Secretary of the Navy for Research, Development and Acquisition. The questions had a common theme: how...  View Details
      Keywords: James Geurts; Innovation; Public Entrepreneurship; Open Innovation; Crowdsourcing; Contests; Prototyping; SOFWERX; Special Operations; SOCOM; Govtech; Procurement; FAR; EZ-Fly; Navy; Department Of Defense; Innovation and Invention; Innovation and Management; Innovation Leadership; Entrepreneurship; Public Sector; Acquisition; Public Administration Industry; United States
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      Leonard, Herman, Mitchell Weiss, Jin Hyun Paik, and Kerry Herman. "SOFWERX: Innovation at U.S. Special Operations Command." Harvard Business School Case 819-004, July 2018. (Revised December 2018.)
      • May 2017
      • Other Article

      Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis

      By: Andrew Hill, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty and Scott Jelinsky
      BACKGROUND: The association of differing genotypes with disease-related phenotypic traits offers great potential to both help identify new therapeutic targets and support stratification of patients who would gain the greatest benefit from specific drug classes....  View Details
      Keywords: Crowdsourcing; Genome-wide Association Study; Logistic Regression; Open Innovation; PLINK; Collaborative Innovation and Invention
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      Hill, Andrew, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty, and Scott Jelinsky. "Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis." GigaScience 6, no. 5 (May 2017).
      • September 2014
      • Supplement

      Netflix: Designing the Netflix Prize (B)

      By: Karim R. Lakhani, Wesley M. Cohen, Kynon Ingram, Tushar Kothalkar, Maxim Kuzemchenko, Santosh Malik, Cynthia Meyn, Stephanie Healy Pokrywa and Greta Friar
      This supplemental case follows up on the Netflix Prize Contest described in Netflix: Designing the Netflix Prize (A). In the A case, Netflix CEO Reed Hastings must decide how to organize a crowdsourcing contest to improve the algorithms for Netflix's movie...  View Details
      Keywords: Crowdsourcing; Prizes; Digitization; Algorithms; Recommendation Software; Disruption; Transformation; Collaborative Innovation and Invention; Technological Innovation; Knowledge Sharing; Applications and Software
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      Lakhani, Karim R., Wesley M. Cohen, Kynon Ingram, Tushar Kothalkar, Maxim Kuzemchenko, Santosh Malik, Cynthia Meyn, Stephanie Healy Pokrywa, and Greta Friar. "Netflix: Designing the Netflix Prize (B)." Harvard Business School Supplement 615-025, September 2014.
      • August 2014
      • Case

      Netflix: Designing the Netflix Prize (A)

      By: Karim R. Lakhani, Wesley M. Cohen, Kynon Ingram, Tushar Kothalkar, Maxim Kuzemchenko, Santosh Malik, Cynthia Meyn, Greta Friar and Stephanie Healy Pokrywa
      In 2006, Reed Hastings, CEO of Netflix, was looking for a way to solve Netflix's customer churn problem. Netflix used Cinematch, its proprietary movie recommendation software, to promote individually determined best-fit movies to customers. Hastings determined that a...  View Details
      Keywords: Crowdsourcing; Prizes; Digitization; Algorithms; Recommendation Software; Disruption; Transformation; Collaborative Innovation and Invention; Technological Innovation; Knowledge Sharing; Applications and Software; Motion Pictures and Video Industry; Entertainment and Recreation Industry; Technology Industry; United States
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      Lakhani, Karim R., Wesley M. Cohen, Kynon Ingram, Tushar Kothalkar, Maxim Kuzemchenko, Santosh Malik, Cynthia Meyn, Greta Friar, and Stephanie Healy Pokrywa. "Netflix: Designing the Netflix Prize (A)." Harvard Business School Case 615-015, August 2014.
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