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- 2022
- Article
A Human-Centric Take on Model Monitoring
By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on...
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- February 2022 (Revised May 2022)
- Case
Buddy Valastro: Cake Boss
By: Boris Groysberg, Evan M.S. Hecht and Katherine Connolly Baden
Buddy Valastro, celebrity baker and business owner, inherited his father’s bakery—Carlo’s Bake Shop of Hoboken, New Jersey—at the age of seventeen. He had willed the shop to survive and gone on to fame through his television show, “Cake Boss”—the name most people now...
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Keywords:
Bakery;
Entrepreneur;
Scalability;
Digital;
Systems;
Process Improvement;
Team Effectiveness;
Team Building;
COVID-19 Pandemic;
Food;
Entrepreneurship;
Family Business;
Crisis Management;
Change Management;
Leadership;
Creativity;
Operations;
Groups and Teams;
Brands and Branding;
Food and Beverage Industry;
United States
- 2022
- Working Paper
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh
As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between...
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- 2021
- Working Paper
Capitalism, Slavery, and the Legacy of Cesare Beccaria
The Milanese Marquis Cesare Beccaria (1738-1794) dedicated his life first to theorizing a more just and equal society grounded in individual rights, anchored in secular political economy rather than in religious dogma, then to realizing this bold vision...
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- October 2021 (Revised February 2023)
- Case
Ant Group (A)
By: Krishna G. Palepu, Feng Zhu, Susie L. Ma and Kerry Herman
In 2004, Chinese e-commerce company Alibaba created Alipay, an app to facilitate payments on its e-commerce sites. As Alibaba grew, so did Alipay, until Alipay spawned its own ecosystem of financial technology products and services under the name of Ant Group. By 2020,...
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- 2021
- Article
Evidence of Decreasing Internet Entropy: The Lack of Redundancy in DNS Resolution by Major Websites and Services
By: Samantha Bates, John Bowers, Shane Greenstein, Jordi Weinstock, Jonathan Zittrain and Yunhan Xu
This paper analyzes the extent to which the Internet’s global domain name resolution (DNS) system has preserved its distributed resilience given the rise of cloud-based hosting and infrastructure. We explore trends in the concentration of the DNS space since at least...
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- 2022
- Working Paper
Gender Inequality and the Direction of Ideas: Evidence from the Weinstein Scandal and #MeToo
By: Hong Luo and Laurina Zhang
How do the Harvey Weinstein scandal and #MeToo affect women’s likelihood of working
in male-dominated domains and the types of ideas developed in Hollywood? To discern these
events’ impact, we exploit the variation in whether a producer previously collaborated with...
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- 2020
- Working Paper
Institutional Corporate Bond Pricing
By: Ishita Sen, Lorenzo Bretscher, Lukas Schmid and Varun Sharma
We compile a rich dataset that links institutional investors' position level holdings with corporate bond characteristics and estimate demand elasticities with respect to critical sources of risk. Persistence in institutions' holdings provide us with an instrument to...
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- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving...
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- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning...
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- 2018
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships
Organizations are formed in a free economy because a person or group perceives value in carrying out a technical recipe that is beyond the capacity of a single person. Technology specifies what must be done, what resources must be assembled, what actions taken, and...
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- March 2018
- Teaching Note
Twine Health
By: Robert S. Huckman and Ariel D. Stern
In late 2014, Dr. John Moore (CEO), Frank Moss (chairman), and Scott Gilroy (CTO) of Twine Health (Twine) had to resolve several challenges that threatened to restrict the widespread dissemination of its sole product, Twine. Twine was a cloud-based platform that...
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- 2017
- Working Paper
Equality and Equity in Compensation
By: Jiayi Bao and Andy Wu
Equity compensation is widely used for incentivizing skilled employees, particularly in new technology businesses. Traditional theories explaining why firms offer equity suggest that workers with higher rank should receive compensation packages more heavily weighted in...
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- 2016
- Working Paper
Foreign Competition and Domestic Innovation: Evidence from U.S. Patents
By: David Autor, David Dorn, Gordon H. Hanson, Pian Shu and Gary Pisano
Manufacturing is the locus of U.S. innovation, accounting for more than three quarters of U.S. corporate patents. The rise of import competition from China has represented a major competitive shock to the sector, which in theory could benefit or stifle innovation. In...
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- 2015
- Chapter
Deep Smarts as the Underpinnings of Dynamic Capabilities
By: Dorothy A. Leonard and Michelle Barton
Both ordinary and dynamic capabilities depend upon the deep smarts, i.e., business-critical, experience-based knowledge, held in the heads of an organization’s top talent. This chapter examines the links between individual and organizational capabilities and presents...
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- March 2015
- Case
Twine Health
By: Robert S. Huckman, Ariel D. Stern and Matthew G. Preble
In late 2014, Dr. John Moore (CEO), Frank Moss (chairman), and Scott Gilroy (CTO) of Twine Health (Twine) had to resolve several challenges that threatened to restrict the widespread dissemination of its sole product, Twine. Twine was a cloud-based platform that...
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- Article
Stability and Competitive Equilibrium in Trading Networks
By: John William Hatfield, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky and Alexander Westkamp
We introduce a model in which agents in a network can trade via bilateral contracts. We find that when continuous transfers are allowed and utilities are quasi-linear, the full substitutability of preferences is sufficient to guarantee the existence of stable outcomes...
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- November 2011 (Revised August 2012)
- Case
Healthymagination at GE Healthcare Systems
By: Vineet Kumar and V. Kasturi Rangan
Jeff Immelt, the CEO of GE, introduced a new innovation strategy named "healthymagination" in 2009. With cost, quality, and access as its three pillars, healthymagination ensures a strong focus for new product introduction efforts all around GE. But will this focus...
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- 2011
- Book
Capitalism at Risk: Rethinking the Role of Business
The spread of capitalism worldwide has made people wealthier than ever before. But capitalism's future is far from assured. The global financial meltdown of 2008 nearly triggered another Great Depression, economies in Europe are still teetering, and powerful...
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- September 2011 (Revised July 2012)
- Case
Building Watson: Not So Elementary, My Dear!
By: Willy Shih
This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the...
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