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- August 2021
- Article
The Undervalued Power of Self-relevant Research: The Case of Researching Retirement While Retiring
By: Teresa M. Amabile and Douglas T. (Tim) Hall
For decades, training in management research has emphasized objectivity, typically viewed as an arm’s length distance between the topic of the research and the interests of the researcher. This emphasis has led most scholars to avoid research topics of deep personal... View Details
- July 2021
- Case
Bessemer Venture Partners: Century Fund
By: Jo Tango and Alys Ferragamo
In July of 2021, Bessemer Venture Partners (BVP) contemplated the future of its growth investing practice, known as “Century.” While still relatively new as a focused initiative, BVP’s growth investing already had significant momentum. The fund’s investment pace had... View Details
- 2021
- Working Paper
T-Shaped Managers—One Size Does Not Fit All: Exploratory Study from the Military
By: Hise O. Gibson
People are an organization’s most important resource. Managers who are collaborative and innovative ensure that organizations remain competitive. This type of manager has been referred to as a T-shaped manager. “T” given that the vertical portion represents the depth... View Details
- 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... View Details
- Article
Learning Models for Actionable Recourse
By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
- 2021
- Article
Nudging the Commute: Using Behaviorally-Informed Interventions to Promote Sustainable Transportation
By: Ashley Whillans, Joseph Sherlock, Jessica Roberts, Shibeal O'Flaherty, Lyndsay Gavin, Holly Dykstra and Michael Daly
Dramatic reductions in carbon emissions must take place immediately. A human-centric method of reducing environmental impacts is to “nudge” employees away from single-occupancy vehicles (SOVs) toward more sustainable commuting options. While an abundance of research... View Details
- July–August 2021
- Article
Surfacing the Submerged State: Operational Transparency Increases Trust in and Engagement with Government
By: Ryan W. Buell, Ethan Porter and Michael I. Norton
Problem definition: As trust in government reaches historic lows, frustration with government performance approaches record highs.
Academic/practical relevance: We propose that in co-productive settings like government services, peoples’ trust and... View Details
- 2021
- Chapter
Towards a Unified Framework for Fair and Stable Graph Representation Learning
By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details
- 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... View Details
- July–August 2021
- Article
Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- May–June 2021
- Article
How to Close the Gender Gap
By: Colleen Ammerman and Boris Groysberg
Most companies say they’re committed to advancing women into leadership roles. What they may fail to recognize, though, is that systemic barriers are holding women back. As a result, women remain disadvantaged at every stage of their employment and underrepresented in... View Details
- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
- April 2021
- Supplement
Exercise for Revlon: Surviving Covid-19
By: Kristin Mugford and Sarah Gulick
Exercise for Revlon: Surviving Covid-19 View Details
- April 2021
- Case
Transforming BlackBerry: From Smartphones to Software
By: Ranjay Gulati and Nicole Tempest Keller
On the verge of failure, BlackBerry brought in John Chen as CEO in 2013 to orchestrate a bold turnaround of the company. Once an iconic leader in the smartphone market, BlackBerry was best known for its tactile QWERTY keyboard, strong security, and a focus on business... View Details
Keywords: Pivot; Managing Change; Turnaround; Smartphone; Change Management; Leading Change; Transformation; Organizational Change and Adaptation; Digital Platforms; Change; Information Infrastructure; Applications and Software; Competitive Strategy; Cybersecurity; Technology Industry; Transportation Industry; Canada
- 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... View Details
- April 2021
- Article
Homing and Platform Responses to Entry: Historical Evidence from the U.S. Newspaper Industry
By: K. Francis Park, Robert Seamans and Feng Zhu
We examine how heterogeneity in customers’ tendencies to single-home or multi-home affects a platform’s competitive responses to new entrants in the market. We first develop a formal model to generate predictions about how a platform will respond. We then empirically... View Details
- March 2021 (Revised January 2022)
- Case
Revlon: Surviving Covid-19
By: Kristin Mugford and Sarah Gulick
In October 2020, Revlon faced a crossroads. While it had been struggling with high levels of debt before COVID-19, the pandemic had caused it to go further into debt. Unlike other financial crises, many consumers had stopped buying skincare or cosmetics, and sales of... View Details
- March 2021
- Case
Founders Factory
By: Jeffrey F. Rayport and James Barnett
In January 2020, Founders Factory (FF) Executive Chairman Brent Hoberman and CEO Henry Lane Fox were considering FF’s expansion strategy. FF operated as a venture capital (VC) fund built around an accelerator and incubator, and organized around sectors within... View Details
Keywords: Entrepreneurship; Markets; Planning; Expansion; Global Range; Business Model; Talent and Talent Management; Experience and Expertise; Corporate Entrepreneurship; Global Strategy; Innovation Strategy; Growth and Development Strategy; Management Teams; Organizational Change and Adaptation; Partners and Partnerships; Internet and the Web; Mobile and Wireless Technology; Technology Industry; Africa; South Africa; Johannesburg; Europe; France; Paris; United Kingdom; England; London; United States; New York (city, NY)
- 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... View Details