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- Article
Pattern Detection in the Activation Space for Identifying Synthesized Content
By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam
Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may...
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- October 7, 2021
- Article
How to Resolve America's Hidden-Worker Problem
By: Joseph B. Fuller
Most companies rely on recruiting systems that are superficially efficient but consistently ineffective at closing their chronic skills gaps. Is there a dearth of workers or are employers looking for talent in a self-limiting way?
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- July 2021 (Revised October 2021)
- Case
Allianz Customer Centricity: Is Simplicity the Way Forward?
By: Eva Ascarza and Emilie Billaud
This case explores the tradeoffs between product personalization and simplicity as companies grow. The case presents an opportunity to understand whether and how each of these approaches enables and/or limits companies’ abilities to provide customer satisfaction while...
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- July 2021
- Article
Augmenting Markets with Mechanisms
By: Samuel Antill and Darrell Duffie
We explain how the common practice of size-discovery trade detracts from overall financial market efficiency. At each of a series of size-discovery sessions, traders report their desired trades, generating allocations of the asset and cash that rely on the most recent...
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- 2021
- Working Paper
Deep Learning for Two-Sided Matching
By: Sai Srivatsa Ravindranatha, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers and David Parkes
We initiate the use of a multi-layer neural network to model two-sided matching and to explore the design space between strategy-proofness and stability. It is well known that both properties cannot be achieved simultaneously but the efficient frontier in this design...
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- July 2021
- Article
Outsourcing Tasks Online: Matching Supply and Demand on Peer-to-Peer Internet Platforms
By: Zoë Cullen and Chiara Farronato
We study the growth of online peer-to-peer markets. Using data from TaskRabbit, an expanding marketplace for domestic tasks at the time of our study, we show that growth varies considerably across cities. To disentangle the potential drivers of growth, we look...
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- July 2021
- Article
Redistribution through Markets
By: Piotr Dworczak, Scott Duke Kominers and Mohammad Akbarpour
Policymakers frequently use price regulations as a response to inequality in the markets they control. In this paper, we examine the optimal structure of such policies from the perspective of mechanism design. We study a buyer-seller market in which agents have private...
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- May 2021
- Simulation
Customer Compatibility Exercise Application
By: Ryan W. Buell
Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort...
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- Article
Diversity and Team Performance in a Kenyan Organization
By: Benjamin Marx, Vincent Pons and Tavneet Suri
We present the results from a field experiment on team diversity. Individuals working as door-to-door canvassers for a non-profit organization were randomly assigned a teammate, a supervisor, and a list of individuals to canvass. This created random variation within...
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- 2021
- Working Paper
Property Rights and Urban Form
By: Simeon Djankov, Edward L. Glaeser, Valeria Perotti and Andrei Shleifer
How do the different elements in the standard bundle of property rights, including those of possession and transfer, influence the shape of cities? This paper incorporates insecure property rights into a standard model of urban land prices and density, and makes...
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- 2021
- Working Paper
Science-Based Carbon Emissions Targets
By: David Freiberg, Jody Grewal and George Serafeim
We examine the effect of voluntarily adopting a standard for setting science-based carbon emissions targets on target difficulty and investments to achieve those targets. We find that firms with a track record of setting and achieving ambitious carbon targets are more...
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Keywords:
Target;
Targeting;
Target-setting;
Target Efficiency;
Management Control Systems;
Management Accounting;
Environment;
Environmental And Social Sustainability;
Climate Change;
Environmental Management;
Environmental Accounting;
Environmental Sustainability;
Management Analysis, Tools, and Techniques
- April 2021 (Revised May 2021)
- Case
Kitopi: The Brave New World of Cloud Kitchens
By: Antonio Moreno and Gamze Yucaoglu
The case opens in February 2021 as Mohamad Ballout, co-founder and CEO of Kitopi, a Dubai-based managed cloud kitchen platform, is looking over the company’s 2020 results. Propelled by the COVID-19 pandemic, delivery orders had been on the rise globally and dine-in...
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- 2021
- Article
Fair Influence Maximization: A Welfare Optimization Approach
By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed...
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- March 2021 (Revised March 2021)
- Case
Philips: Redefining Telehealth
By: Regina E. Herzlinger, Natalie Kindred, Sara M. McKinley and Alec Petersen
Would the advent of global payment models and ACOs create sufficient demand for a telemedicine offering covering the care continuum, from hospitals to the home? This was the decision facing Royal Philips Electronics (Philips), the Netherlands-based producer of...
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Keywords:
Health Care;
Philips;
Visicu;
Telemedicine;
eICU;
Accountable Care Organization;
ACO;
Bundled Payment;
Hospital To Home;
Patient Monitoring Devices;
Home Health Care;
Health Care and Treatment;
Communication Technology;
Quality;
Safety;
Performance Productivity;
Performance Capacity;
Performance Efficiency;
Consumer Behavior;
Emerging Markets;
Health Industry;
Telecommunications Industry;
Netherlands
- March 2021 (Revised June 2021)
- Case
Scale and Scope at Drake Real Estate Partners
By: Christina R. Wing and David Lane
Realizing in early 2021 that their pending real estate investment fund would likely be oversubscribed, Drake Real Estate Partners co-founders Nicolás Ibáñez and David Cotterman were considering how best to continue to diversify their investor base and how to optimize...
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- Article
A Feasibility Study Using Time-driven Activity-based Costing as a Management Tool for Provider Cost Estimation: Lessons from the National TB Control Program in Zimbabwe in 2018
By: J. Chirenda, B. Nhlema Simwaka, C. Sandy, K. Bodnar, S. Corbin, P. Desai, T. Mapako, S. Shamu, C. Timire, E. Antonio, A. Makone, A. Birikorang, T. Mapuranga, M. Ngwenya, T. Masunda, M. Dube, E. Wandwalo, L. Morrison and R. S. Kaplan
Background: This study used process maps and time-driven activity-based costing to document TB service delivery processes. The analysis identified the resources required to sustain TB services in Zimbabwe, as well as several opportunities for more effective and...
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- 2021
- Working Paper
Deregulation, Market Power, and Prices: Evidence from the Electricity Sector
By: Alexander MacKay and Ignacia Mercadal
When deciding whether to introduce market competition into a regulated industry, a regulator faces an important tradeoff. Market-based prices can provide incentives to allocate resources more efficiently and reduce costs, but the presence of market power may lead to...
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- March 2021
- Case
The U.S. Home Improvement Sector in 2020
By: José Alvarez and David Lane
Provides an overview of the U.S. home improvement sector in 2020, reviewing sources of growth in the decade ending in 2020, with special attention to the impact of COVID-19 on market leaders Home Depot and Lowe’s and the spike in online revenues for both. Also noted...
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- Mar 2021
- Conference Presentation
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both...
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- 2021
- Working Paper
Competitive Two-Part Tariffs
By: Jorge Tamayo and Guofu Tan
We study competitive two-part tariffs in a model of asymmetric duopoly firms that offer (vertically and horizontally) differentiated products. We show that the sign of the markup for each product depends on the average expected demand among all customers as well as the...
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