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- August 2020 (Revised October 2020)
- Case
1928 Diagnostics: Fighting Antibiotics Resistance
By: Ariel D. Stern and Daniela Beyersdorfer
In 2019, the co-founders of the Swedish medical start-up 1928 Diagnostics, CEO Dr. Kristina Lagerstedt and COO Dr. Susanne Staaf, had to pick the right business model to commercialize their novel technology to hospitals and health care providers. Developed in...
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- 2020
- Working Paper
Entrepreneurs (Co-) Working in Close Proximity: Impacts on Technology Adoption and Startup Performance Outcomes
By: Maria P. Roche, Alexander Oettl and Christian Catalini
Entrepreneurs learn from a variety of sources. One particularly important channel is learning from fellow entrepreneurs. In this paper, we examine the influence of physical proximity on technology adoption decisions and subsequent startup performance outcomes at one of...
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- Summer 2020
- Article
Tech Clusters
By: William R. Kerr and Frederic Robert-Nicoud
Tech clusters like Silicon Valley play a central role for modern innovation, business competitiveness, and economic performance. This paper reviews what constitutes a tech cluster, how they function internally, and the degree to which policy makers can purposefully...
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- 2020
- Article
Immigrant Entrepreneurship in America: Evidence from the Survey of Business Owners 2007 & 2012
By: Sari Pekkala Kerr and William R. Kerr
We study immigrant entrepreneurship in 2007 and 2012 using the Survey of Business Owners. First-generation immigrants create about 25% of new firms in America, but this share exceeds 40% in some states. Immigrant-owned firms tend to create fewer jobs than native-owned...
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- 2020
- Working Paper
Tech Clusters
By: William R. Kerr and Frederic Robert-Nicoud
Tech clusters like Silicon Valley play a central role for modern innovation, business competitiveness, and economic performance. This paper reviews what constitutes a tech cluster, how they function internally, and the degree to which policy makers can purposefully...
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- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 9 Organizing to Rationalize
The purpose of this chapter is to explain what the technologies of flow production with stochastic bottlenecks require and reward in organizations. I argue that organizations successfully implementing these technologies are likely to have unified governance and...
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- 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...
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- 2019
- Chapter
Spatial Agglomeration and Superstar Firms: Firm-level Patterns from Europe and U.S.
By: Laura Alfaro, Maggie X. Chen and Harald Fadinger
We characterize the agglomeration patterns of industries and plants in Europe, distinguishing Eurozone countries and the United States. Using a micro-level index, we quantify the degree of geographic concentration in industrial activities and explore how firm...
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- 2019
- Chapter
Location Fundamentals, Agglomeration Economies, and the Geography of Multinational Firms
By: Laura Alfaro and Maggie Xiaoyang Chen
Multinationals exhibit distinct agglomeration patterns, which have transformed the global landscape of industrial production (Alfaro and Chen, 2014). Using a unique worldwide plant-level dataset that reports detailed location, ownership, and operation information for...
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- January–February 2019
- Article
Why Some Platforms Thrive and Others Don't
By: Feng Zhu and Marco Iansiti
In the digital economy, scale is no guarantee of continued success. After all, the same factors that help an online platform expand quickly—such as the low cost of adding new customers—work for challengers too. What, then, allows platforms to fight off rivals and grow...
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- 2019
- Working Paper
Network Interconnectivity and Entry into Platform Markets
Digital technologies have led to the emergence of many platforms in our economy today. In certain platform networks, buyers in one market purchase services from providers in many other markets, whereas other platform networks may comprise local clusters in which buyers...
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- 2018
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 5 Complementarity
The purpose of this chapter is to relate the theory of task networks and technology set forth in previous chapters to theories of firm boundaries from economics and management. Complementary goods have more value when used together than separately. Complementarity may...
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Keywords:
Complementarity
- 2018
- Working Paper
Taxation and Innovation in the 20th Century
By: Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva
This paper studies the effect of corporate and personal taxes on innovation in the United States over the 20th century. We use three new datasets: a panel of the universe of inventors who patent since 1920; a dataset of the employment, location, and patents of firms...
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- September 2018
- Article
Knowledge Integrators and the Survival of Manufacturing Clusters
By: Giulio Buciuni and Gary P. Pisano
Over the past two decades, the greater prevalence of global supply chains has had contrasting effects on Western manufacturing clusters. While some of them dwindled, others proved resilient. Contributing to the recent literature on co-located clusters and clusters'...
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- Article
Navigating Talent Hot Spots
By: William R. Kerr
Innovation clusters like San Francisco and Boston have long had an outsize impact on the global economy, and their influence keeps growing. In 2017, for instance, America’s ten largest tech hubs accounted for 58% of U.S. patents. Globally, cities such as Tokyo, Paris,...
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- August 2018 (Revised April 2019)
- Case
Chateau Winery (A): Unsupervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups...
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- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those...
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- August 2018
- Article
Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
How do teams working on complex projects get the help they need? Our qualitative investigation of the help provided to project teams at a prominent design firm revealed two distinct helping processes, both characterized by deep, sustained engagement that far exceeds...
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- April 2018
- Teaching Note
Growing a Cluster: The Singapore Biomedical Sciences Initiative
By: Michael Porter and Christian Ketels
- April 2018 (Revised September 2019)
- Case
Growing a Cluster: The Singapore Biomedical Sciences Initiative
By: Michael Porter and Christian H.M. Ketels