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- October 2022
- Case
Afrigen Biologics: Vaccines for the Global South
By: Debora L. Spar and Julia Comeau
The majority of vaccines used on the continent of Africa (99%) are produced offshore. This makes African nations reliant on the West for major health care needs, a problem which was exacerbated by the COVID-19 pandemic. Afrigen Biologics (in partnership with the WHO)...
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- 2022
- Working Paper
Price Monitoring and Response: A Supply Side Characterization
By: Ayelet Israeli and Eric Anderson
With the growth of e-commerce and increasing price transparency, there has been tremendous interest in the adoption and competitive consequences of algorithmic pricing. A premise of algorithmic pricing is that firms monitor competitors' prices and then their pricing...
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- September–October 2022
- Article
Should Your Company Sell on Amazon?: Reach Comes at a Price
By: Ayelet Israeli, Leonard A. Schlesinger, Matt Higgins and Sabir Semerkant
Selling on Amazon allows brands to reach millions of consumers—but that exposure comes with costs. They include smaller margins, more competition, the risk of commoditization, and less knowledge about customers.
In this article, the authors present a scorecard to...
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Keywords:
Retail;
Retailing;
Online Business;
Ecommerce;
E-commerce;
E-Commerce Strategy;
Omnichannel Retail;
Omnichannel Retailing;
Amazon;
Amazon.com;
Sales;
Digital Marketing;
Internet and the Web;
Business Model;
Consumer Products Industry;
Consumer Products Industry;
Consumer Products Industry;
Consumer Products Industry;
Consumer Products Industry;
Consumer Products Industry;
Consumer Products Industry;
Consumer Products Industry;
Consumer Products Industry;
Consumer Products Industry;
United States
- Article
Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses
By: Thomaz Teodorovicz, Andrew L. Kun, Raffaella Sadun and Orit Shaer
Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a...
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- 2022
- Working Paper
Human Mobility and the Globalization of Knowledge Production: Causal Evidence from Multinational Enterprises
By: Dany Bahar, Prithwiraj Choudhury, James M. Sappenfield and Sara Signorelli
We investigate how reforms that ease or restrict human mobility affect global innovation. We leverage a unique dataset merging patent data with exhaustive information on business-related migration reforms that take place in 15 countries over 26 years, and employ a...
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- August 2021
- Case
Wymsee
By: Julia Austin, Sarah Mehta and Tom Quinn
Wymsee was a company that aimed to develop a mobile application (app) that would allow television audience members to identify and purchase clothing or accessories worn by characters in the program they were watching, with the Wymsee founders taking a percentage of...
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Keywords:
Business Model;
Business Plan;
Business Startups;
Film Entertainment;
Television Entertainment;
Technological Innovation;
Knowledge Acquisition;
Product Positioning;
Opportunities;
Adaptation;
Mobile Technology;
Entertainment and Recreation Industry;
Motion Pictures and Video Industry;
Technology Industry;
United States;
New York (city, NY)
- August 2021
- Teaching Note
IBM Watson at MD Anderson Cancer Center
By: Shane Greenstein and Mel Martin
Teaching Note for HBS Case No. 621-022.
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Keywords:
Decision Making;
Technological Innovation;
Innovation Strategy;
Knowledge Management;
Knowledge Use and Leverage;
Operations;
Failure;
Information Technology;
Applications and Software;
Health Care and Treatment;
Product Development;
Health Industry;
Information Technology Industry;
Technology Industry;
United States;
Houston;
Texas
- 2022
- Working Paper
Beefing IT Up for Your Investor? Open Sourcing and Startup Funding: Evidence from GitHub
By: Annamaria Conti, Christian Peukert and Maria Roche
We study the participation of nascent firms in open source communities and its implications for attracting funding. To do so, we exploit rich data on 160,065 US startups linking information from Crunchbase to firms' GitHub accounts. Estimating a within-startup model...
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- 2021
- Working Paper
Financial Innovation in the 21st Century: Evidence from U.S. Patents
By: Josh Lerner, Amit Seru, Nick Short and Yuan Sun
We develop a unique dataset of 24 thousand U.S. finance patents granted over the last two decades to explore the evolution and production of financial innovation. We use machine learning to identify the financial patents and extensively audit the results to ensure...
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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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- February 2021
- Background Note
Jobs to Be Done: A Toolbox
By: Derek C. M. van Bever, Bob Moesta, Iuliana Mogosanu, Shaye Roseman and Katie Zandbergen
The Jobs to Be Done methodology is both a theory and a practical approach for understanding customer behavior and why people make the choices they make. Many practitioners, whether they work for startups or incumbent businesses, find Jobs to Be Done useful because it...
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- February 2021
- Case
Digital Manufacturing at Amgen
By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This case discusses efforts made by biotechnology (biotech) company Amgen to introduce digital technologies into its manufacturing processes. Doing so is complicated by the fact that the process for manufacturing biologics—or therapeutics made from living cells—is...
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Keywords:
Digital Technologies;
Change;
Change Management;
Decision Making;
Cost vs Benefits;
Decisions;
Information;
Analytics and Data Science;
Innovation and Invention;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Technological Innovation;
Jobs and Positions;
Knowledge;
Leadership;
Organizational Culture;
Science;
Strategy;
Information Technology;
Technology Adoption;
Biotechnology Industry;
Pharmaceutical Industry;
United States;
California;
Puerto Rico;
Rhode Island
- February 2021
- Article
Platform Diffusion at Temporary Gatherings: Social Coordination and Ecosystem Emergence
By: Tommy Pan Fang, Andy Wu and David R. Clough
Software platforms create value by cultivating an ecosystem of complementary products and services. Existing explanations for how a prospective complementor chooses platforms to join assume the complementor has rich information about the range of available platforms....
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Keywords:
Innovation Ecosystems;
Technology Diffusion;
Hackathon;
Contagion;
Software Applications;
Software Development;
Software Engineering;
Technology Strategy;
Technology Adoption;
Technological Innovation;
Information Infrastructure;
Innovation Strategy;
Digital Platforms;
Network Effects;
Applications and Software;
Information Technology;
Technology Industry;
Computer Industry;
Information Technology Industry;
Video Game Industry
- 2021
- Working Paper
The World Management Survey at 18: Lessons and the Way Forward
By: Daniela Scur, Raffaella Sadun, John Van Reenen, Renata Lemos and Nicholas Bloom
Understanding how differences in management “best practices” affect organizational outcomes has been a focus of both theoretical and empirical work in the fields of management, sociology, economics and public policy. The World Management Survey (WMS) project was born...
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- January 2021
- Case
Anodot: Autonomous Business Monitoring
By: Antonio Moreno and Danielle Golan
Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product...
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- December 2020 (Revised April 2021)
- Case
IBM Watson at MD Anderson Cancer Center
By: Shane Greenstein, Mel Martin and Sarkis Agaian
After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology...
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Keywords:
Decision Making;
Innovation Strategy;
Knowledge Management;
Knowledge Use and Leverage;
Operations;
Failure;
Information Technology;
Applications and Software;
Health Care and Treatment;
Product Development;
Health Industry;
Information Technology Industry;
Technology Industry;
United States;
Houston;
Texas
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to...
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- November–December 2020
- Article
Our Work-from-Anywhere Future
The pandemic has hastened a rise in remote working for knowledge-based organizations. This has notable benefits: Companies can save on real estate costs, hire and utilize talent globally, mitigate immigration issues, and experience productivity gains, while workers can...
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- October 2020
- Article
Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance
By: Diwas S. KC, Bradley R. Staats, Maryam Kouchaki and Francesca Gino
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload individuals can decrease their service time, up to a point, in order to complete work...
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- August 2020
- Article
Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation
By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic...
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