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- 2024
- Working Paper
Determinants of Top-Down Sabotage
By: Hashim Zaman and Karim R. Lakhani
We investigate the conditions that motivate managers to impede the growth of talented
subordinates due to fears of future competition for their own positions. Our research expands on
existing tournament and contest theory literature that considers peer-to-peer... View Details
Keywords: Talent and Talent Management; Organizational Structure; Employee Relationship Management; Performance Evaluation; Organizational Culture; Management Skills
Zaman, Hashim, and Karim R. Lakhani. "Determinants of Top-Down Sabotage." Harvard Business School Working Paper, No. 25-007, August 2024.
- July 2024
- 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... View Details
Keywords: Freelancers; Labor Markets; Internet and the Web; Digital Platforms; Corporate Entrepreneurship; Human Capital; Change Management; Globalized Firms and Management; Employment; Global Range; Employment Industry
Stanton, Christopher, Karim R. Lakhani, Jin Hyun Paik, and Nina Cohodes. "Freelancer, Ltd." Harvard Business School Multimedia/Video Case 823-706, July 2024.
- 2024
- Working Paper
Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able... View Details
Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics." Harvard Business School Working Paper, No. 24-074, June 2024.
- March 2024
- Article
Being Together in Place as a Catalyst for Scientific Advance
By: Eamon Duede, Misha Teplitskiy, Karim R. Lakhani and James Evans
The COVID-19 pandemic necessitated social distancing at every level of society, including universities and research institutes, raising essential questions concerning the continuing importance of physical proximity for scientific and scholarly advance. Using customized... View Details
Duede, Eamon, Misha Teplitskiy, Karim R. Lakhani, and James Evans. "Being Together in Place as a Catalyst for Scientific Advance." Art. 104911. Research Policy 53, no. 2 (March 2024).
- 2023
- Working Paper
New Facts and Data about Professors and Their Research
By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu
We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details
Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity
Myers, Kyle, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural, and Yilun Xu. "New Facts and Data about Professors and Their Research." Harvard Business School Working Paper, No. 24-036, December 2023.
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- September 2023
- Article
Consuming Contests: The Effect of Outcome Uncertainty on Spectator Attendance in the Australian Football League
By: Patrick Ferguson and Karim R. Lakhani
Contests that non-contestants consume for entertainment are a fixture of economic, cultural and political life. We exploit injury-induced changes to teams' line-ups in a professional sports setting to examine whether individuals prefer to consume contests that have... View Details
Ferguson, Patrick, and Karim R. Lakhani. "Consuming Contests: The Effect of Outcome Uncertainty on Spectator Attendance in the Australian Football League." Economic Record 99, no. 326 (September 2023): 410–435.
- 2024
- Working Paper
The Crowdless Future? Generative AI and Creative Problem Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
- 2023
- Working Paper
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
- March 2023
- Teaching Note
VideaHealth: Building the AI Factory
By: Karim R. Lakhani
Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian... View Details
- March 2023
- Case
Moderna
By: Marco Iansiti, Karim R. Lakhani, Hannah Mayer, Kerry Herman, Allison J. Wigen and Dave Habeeb
This multimedia case follows the story of Moderna and its entry into vaccine development in the wake of the COVID-19 pandemic. In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19.... View Details
- March 2023
- Supplement
Moderna (A) Case Supplement
By: Karim R. Lakhani, Allison J. Wigen and Dave Habeeb
Lakhani, Karim R., Allison J. Wigen, and Dave Habeeb. "Moderna (A) Case Supplement." Harvard Business School Multimedia/Video Supplement 623-704, March 2023. (Click here to access this case.)
- March 2023
- Supplement
Moderna (B) Case Supplement
By: Karim R. Lakhani, Allison J. Wigen and Dave Habeeb
Lakhani, Karim R., Allison J. Wigen, and Dave Habeeb. "Moderna (B) Case Supplement." Harvard Business School Multimedia/Video Supplement 623-705, March 2023. (Click here to access this case.)
- January 2023
- Supplement
TSG Hoffenheim: Step-by-Step Analysis in Excel
By: Feng Zhu, Karim R. Lakhani, Sascha L. Schmidt and Kerry Herman
Zhu, Feng, Karim R. Lakhani, Sascha L. Schmidt, and Kerry Herman. "TSG Hoffenheim: Step-by-Step Analysis in Excel." Harvard Business School Supplement 623-049, January 2023.
- 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
- 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,... View Details
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
Stanton, Christopher, Karim R. Lakhani, Jin Hyun Paik, and Nina Cohodes. "Freelancer, Ltd. Case Supplement." Harvard Business School Multimedia/Video Supplement 823-707, December 2022. (Click here to access this case.)
- 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... View Details
Teplitskiy, Misha, Hao Peng, Andrea Blasco, and Karim R. Lakhani. "Is Novel Research Worth Doing? Evidence from Peer Review at 49 Journals." e2118046119. Proceedings of the National Academy of Sciences 119, no. 47 (November 22, 2022).
- 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... View Details
Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing
Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation." Management Science 68, no. 6 (June 2022): 4478–4495.
- May 2022
- Case
AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services." Harvard Business School Case 622-060, May 2022.
- May 2022
- Supplement
AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services." Harvard Business School Supplement 622-086, May 2022.