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- January 2023
- Supplement
TSG Hoffenheim: Step-by-Step Analysis in Excel
By: Feng Zhu, Karim R. Lakhani, Sascha L. Schmidt and Kerry Herman
- January 2023
- Supplement
TSG Hoffenheim; Step by Step Analysis in Excel
By: Feng Zhu, Karim R. Lakhani, Kerry Herman and Sascha L. Schmidt
- December 2022
- Case
Freelancer, Ltd.
By: Christopher Stanton, Karim R. Lakhani, Jin Hyun Paik and Nina Cohodes
Over the course of the 2010s, the rapid advancement of mobile technologies and the rise of online freelancing platforms seemed to portend a radical transformation of labor markets into on-demand, flexible talent pools. Even though several Fortune 500...
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- December 2022
- Supplement
Freelancer, Ltd. Case Supplement
By: Christopher Stanton, Karim R. Lakhani, Jin Hyun Paik and Nina Cohodes
Over the course of the 2010s, the rapid advancement of mobile technologies and the rise of online freelancing platforms seemed to portend a radical transformation of labor markets into on-demand, flexible talent pools. Even though several Fortune 500 companies,...
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Keywords:
Labor Markets;
Freelancers;
Change Management;
Corporate Entrepreneurship;
Globalized Firms and Management;
Human Capital;
Employment;
Digital Platforms;
Global Range;
Adoption;
Governing Rules, Regulations, and Reforms;
Growth and Development Strategy;
Computer Industry;
Electronics Industry;
Employment Industry;
Information Industry;
Australia;
United States;
Philippines
- November 22, 2022
- Article
Is Novel Research Worth Doing? Evidence from Peer Review at 49 Journals
By: Misha Teplitskiy, Hao Peng, Andrea Blasco and Karim R. Lakhani
There are long-standing concerns that peer review, which is foundational to scientific institutions like journals and funding agencies, favors conservative ideas over novel ones. We investigate the association between novelty and the acceptance of manuscripts submitted...
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- June 2022
- Article
Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information...
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- May 2022
- Case
AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
- May 2022
- Supplement
AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
- May 2022 (Revised July 2022)
- Supplement
AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
- 2022
- Working Paper
Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge
By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and...
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- May 2022
- Article
How Status of Research Papers Affects the Way They Are Read and Cited
By: Misha Teplitskiy, Eamon Duede, Michael Menietti and Karim R. Lakhani
Although citations are widely used to measure the influence of scientific works, research shows that many citations serve rhetorical functions and reflect little-to-no influence on the citing authors. If highly cited papers disproportionately attract rhetorical...
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Keywords:
Metrics;
Influence;
Status;
Citations;
Science;
Measurement and Metrics;
Research;
Perception
- Article
Potentially Long-Lasting Effects of the Pandemic on Scientists
By: Jian Gao, Yian Yin, Kyle R. Myers, Karim R. Lakhani and Dashun Wang
Two surveys of principal investigators conducted between April 2020 and January 2021 reveal that while the COVID-19 pandemic’s initial impacts on scientists’ research time seem alleviated, there has been a decline in the rate of initiating new projects. This dimension...
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- October 2021 (Revised December 2021)
- Case
Customer-Centric Design with Artificial Intelligence: Commonwealth Bank
By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo
As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer...
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- October 2021
- Teaching Note
Threadless: The Renewal of an Online Community
By: Shane Greenstein, Karim Lakhani and Christian Godwin
Teaching Note for HBS Case No. 621-056.
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- October 2021 (Revised September 2022)
- Case
SmartOne: Building an AI Data Business
By: Karim R. Lakhani, Pippa Armerding, Gamze Yucaoglu and Fares Khrais
The case opens in August 2021, as Habib and Shahysta Hassim, husband and wife co-founders of the data labeling company SmartOne, contemplate the strategy of the high growth company. Between 2016 and 2021, SmartOne had kept doubling its size every two years and now,...
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- 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...
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- August 2021
- Teaching Note
Moderna (A)
By: Marco Iansiti, Karim R. Lakhani, Kerry Herman and Amy Klopfenstein
Teaching Note for HBS Case No. 621-032.
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- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British...
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- June 2021
- Article
Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?
By: Jacqueline N. Lane, Ina Ganguli, Patrick Gaule, Eva C. Guinan and Karim R. Lakhani
We investigate how knowledge similarity between two individuals is systematically related to the likelihood that a serendipitous encounter results in knowledge production. We conduct a natural field experiment at a medical research symposium, where we exogenously...
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- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government...
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