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Skip to Main Content Cold Call A podcast featuring faculty discussing cases they've written and the lessons they impart. Subscribe on iTunes 29 Sep...
- 2020
- Working Paper
From Online Content to Offline Results: Effects of a Best Practices Initiative on an Enterprise Social Network
By: Shelley Xin Li and Tatiana Sandino
We examine the effects of a best practices initiative on an enterprise social network (ESN) with a natural field experiment in a large grocery store chain. Our results do not show an immediate improvement in sales, but do show 3.67-percent higher sales for the...
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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 providing 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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- 2020
- Working Paper
Algorithm-Augmented Work Performance and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience...
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- 2020
- Working Paper
Learning with People Like Me: The Role of Age-Similar Peers on Online Business Course Engagement
By: Laura R. Huber, Jacqueline N. Lane and Karim R. Lakhani
Over the past decade, online learning has witnessed tremendous growth in popularity due to its ability to reach diverse participants in a scalable manner. However, one primary area of concern is the low course completion rates in digital platform-based learning,...
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- December 2020 (Revised February 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;
Technology;
Information Technology;
Software;
Health Care And Treatment;
Product Development;
Health Industry;
Information Technology Industry;
Technology Industry;
United States;
Houston;
Texas
- 2020
- Working Paper
The Evolutionary Nature of Breakthrough Innovation: Re-Evaluating the Exploration vs. Exploitation Dichotomy
By: Dominika K. Sarnecka and Gary P. Pisano
Over the past few decades, a consensus has emerged that breakthrough innovations emerge from exploration of novel terrain while more routine innovations are the product of exploitation. In this paper, we revisit this explore versus exploit dichotomy with an analysis...
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- December 2020
- Article
Taking Innovation to the Streets: Micro-geography, Physical Structure and Innovation
By: Maria P. Roche
In this paper, we analyze how the physical layout of cities affects innovation by influencing the organization of knowledge exchange. We exploit a novel data set covering all Census Block Groups in the contiguous United States with information on innovation outcomes,...
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- 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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- 2020
- Working Paper
The Market for Healthcare in Low Income Countries
By: Reshmaan Hussam, Abhijit Banerjee, Jishnu Das, Jeffrey Hammer and Aakash Mohpal
New research clearly identifies trust as an important driver of the demand for healthcare. However, doctors who realize that patients may not trust them may also alter their behavior in response. We assemble a large dataset that assesses clinical performance using...
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- 2020
- Working Paper
Translating Information into Action: A Public Health Experiment in Bangladesh
By: Reshmaan Hussam, Kailash Pandey, Abu Shonchoy and Chikako Yamauchi
Standard models of technology adoption posit learning as the basis of adoption. However, hygiene campaigns centered around information provision have been overwhelmingly unsuccessful in changing behavior and improving child health across the developing world. We design...
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- November 2020
- Article
Migrant Inventors and the Technological Advantage of Nations
By: Dany Bahar, Prithwiraj Choudhury and Hillel Rapoport
We investigate the relationship between the presence of migrant inventors and the dynamics of innovation in the migrants’ receiving countries. We find that countries are 25 to 60 percent more likely to gain advantage in patenting in certain technologies given a twofold...
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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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- 2020
- Working Paper
The Effects of Temporal Distance on Intra-Firm Communication: Evidence from Daylight Savings Time
By: Jasmina Chauvin, Prithwiraj Choudhury and Tommy Pan Fang
Cross-border communication costs have plummeted and enabled the global distribution of work, but frictions attributable to distance persist. We estimate the causal effects of temporal distance stemming from time zone differences on intra-firm communication. We argue...
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- 2020
- Book
China and Europe on the New Silk Road: Connecting Universities Across Eurasia
By: Marijk C. van der Wende, William C. Kirby, Nian Cai Liu and Simon Marginson
The global order, based on international governance and multilateral trade mechanisms in the aftermath of the Second World War, is changing rapidly and creating waves of uncertainty. This is especially true in higher education, a field increasingly built on...
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- October 2020
- Article
What Goes Down When Advice Goes Up: Younger Advisers Underestimate Their Impact
By: Ting Zhang and Michael S. North
Common wisdom suggests that older is wiser. Consequently, people rarely give advice to older individuals—even when they are relatively more expert—leading to missed learning opportunities. Across six studies (N=3,445), we explore the psychology of advisers when they...
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- October 2020
- Case
PraDigi Open Learning: Transforming Rural India
By: John J-H Kim and Malini Sen
Pratham is a non-governmental organization, focusing on high-quality, low-cost and replicable interventions to address gaps in the Indian education system. Co-founder Madhav Chavan is interested in using technology for education but differed in the way it is used in...
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- 2020
- Working Paper
Fencing Off Silicon Valley: Cross-Border Venture Capital and Technology Spillovers
By: Ufuk Akcigit, Sina T. Ates, Josh Lerner, Richard Townsend and Yulia Zhestkova
The treatment of foreign investors has been a contentious topic in U.S. entrepreneurship policy in recent years. This paper examines foreign corporate investments in Silicon Valley from a theoretical and empirical perspective. We model a setting where such funding may...
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- September 2020 (Revised December 2020)
- Supplement
Hitachi Rail Limited (B)
By: David J. Collis, Akiko Kanno and Nobuo Sato
Describes the strategy and organisation changes made by British executive, Alistair Domer, after he is made head of Hitachi Rail's global business. The company acquires an Italian company, continues to win contracts in the UK, but struggles to bring its greenfield...
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- 2020
- Working Paper
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...
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