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- 2022
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Flora Feng, Shunyuan Zhang and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the...
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- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s...
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- 2022
- Working Paper
The Effectiveness of Digital Interventions on COVID-19 Attitudes and Beliefs
By: Susan Athey, Kristen Grabarz, Michael Luca and Nils Wernerfelt
Public health organizations increasingly use social media advertising campaigns in pursuit
of public health goals. In this paper, we evaluate the impact of about $40 million of social media
advertisements that were run and experimentally tested on Facebook and...
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- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a...
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- January 2022 (Revised August 2022)
- Case
Geely SEA: New Electric Vehicle Platforms
By: Willy C. Shih and Shu Lin
Kent Bovellan, the Chief Engineer and Head of the Vehicle Architecture Center for Geely Holding, the Hangzhou, China headquartered global automotive group, was debating the platform choice for an upcoming "D" segment midsized battery electric vehicle (BEV). He had led...
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Keywords:
Product Innovation;
Product Architecture;
Product Engineering;
Platform Design;
Platform Strategy;
Information Infrastructure;
Digital Platforms;
Information Technology;
Product Design;
Product Development;
Cost Management;
Decision Making;
Competitive Strategy;
Industry Structures;
Auto Industry;
China;
Sweden
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of...
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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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- 2021
- Working Paper
The Incidence of the Corporate Income Tax Is Irrelevant for Its (Benefit-Based) Justification
Robust support for corporate income taxation is a puzzle for standard tax theory because the tax’s incidence is uncertain and unreliable. We propose a resolution: if the corporate tax is seen as a benefit-based tax, its normative appeal depends on the correspondence...
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- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public...
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- November 2021
- Article
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative...
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- 2021
- Working Paper
The Value of Data and Its Impact on Competition
By: Marco Iansiti
Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to...
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- 2021
- Working Paper
Communication within Firms: Evidence from CEO Turnovers
By: Stephen Michael Impink, Andrea Prat and Raffaella Sadun
This paper uses novel, firm-level measures derived from communications metadata before and after a CEO transition in 102 firms to study if CEO turnover impacts employees’ communication flows. We find that CEO turnover leads to an initial decrease in intra-firm...
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- July 2021
- Article
Information Transparency, Multihoming, and Platform Competition: A Natural Experiment in the Daily Deals Market
By: Hui Li and Feng Zhu
Platform competition is shaped by the likelihood of multi-homing (i.e., complementors or consumers adopt more than one platform). To take advantage of multi-homing, platform firms often attempt to motivate their rivals’ high-performing complementors to adopt their own...
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- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two...
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- 2021
- Working Paper
Currency Hedging: Managing Cash Flow Exposure
By: Laura Alfaro, Mauricio Calani and Liliana Varela
Foreign currency use can be a source of risk associated with currency mismatches, which firms can hedge using FX derivatives. This paper uncovers five novel facts about firms’ use of foreign currency (FX) derivatives employing a unique dataset covering the universe of...
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- Spring 2021
- Article
Corporate Resilience and Response During COVID-19
By: Alex Cheema-Fox, Bridget LaPerla, George Serafeim and Hui (Stacie) Wang
The coronavirus pandemic caused a sharp market decline while raising heterogeneous responses across companies related to their employees, supply chain, and repurposing of operations to provide needed products and services. We study whether during the 2020 COVID-19...
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Keywords:
ESG;
COVID-19;
Coronavirus;
Crisis Response Plans;
Crisis;
ESG (Environmental, Social, Governance) Performance;
ESG Ratings;
Leadership & Corporate Accountability;
Big Data;
Machine Learning;
Investor Behavior;
Institutional Investors;
Corporate Performance;
Health Pandemics;
Crisis Management;
Corporate Social Responsibility and Impact;
Human Capital;
Supply Chain;
Operations;
Leadership;
Corporate Accountability;
Institutional Investing;
Performance
- 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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- April 2021
- Article
Work-From-Anywhere: The Productivity Effects of Geographical Flexibility
By: Prithwiraj Choudhury, Cirrus Foroughi and Barbara Larson
An emerging form of remote work allows employees to work-from-anywhere, so that the worker can choose to live in a preferred geographic location. While traditional work-from-home (WFH) programs offer the worker temporal flexibility, work-from-anywhere (WFA) programs...
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- 2020
- Working Paper
Currency Hedging in Emerging Markets: Managing Cash Flow Exposure
By: Laura Alfaro, Mauricio Calani and Liliana Varela
Foreign currency derivative markets are among the largest in the world, yet their role in emerging markets in particular, is relatively understudied. We study firms' currency risk exposure and their hedging choices by employing a unique dataset covering the universe of...
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- 2021
- Working Paper
Consuming Contests: Outcome Uncertainty and Spectator Demand for Contest-based Entertainment
By: Patrick J. Ferguson and Karim R. Lakhani
Contests that are designed to be consumed for entertainment by non-contestants are a fixture of economic, cultural and political life. In this paper, we examine whether individuals prefer to consume contests that have more uncertain outcomes. We look to...
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