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December 2021
Case

Slice Labs: Creating a Fraud-free Online Insurance Platform

By: Amit Goldenberg, Max Bazerman and Ruth Page

"Slice Labs: Creating a Fraud-Free Online Insurance Platform" engages students with the challenge of how to influence other parties to not engage in fraud in the context of digital insurance. The case is centered around Slice, a digital insurance company that was... View Details

2018
Working Paper

How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections

By: Maria Ibanez and Michael W. Toffel

Many production processes are subject to inspection to ensure they meet quality, safety, and environmental standards imposed by companies and regulators. Inspection accuracy is critical to inspections being a useful input to assessing risks, allocating quality... View Details

Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Performance Evaluation; Food and Beverage Industry; Service Industry

22 May 2008
Working Paper Summaries

Testing Strategy with Multiple Performance Measures Evidence from a Balanced Scorecard at Store24

Keywords: by Dennis Campbell, Srikant M. Datar, Susan L. Kulp & V.G. Narayanan; Food & Beverage

February 2018
Article

Retention Futility: Targeting High-Risk Customers Might Be Ineffective.

By: Eva Ascarza

Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models... View Details

Keywords: Retention/churn; Proactive Churn Management; Field Experiments; Heterogeneous Treatment Effect; Machine Learning; Customer Relationship Management; Risk Management

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May 2014
Article

Group Membership Alters the Threshold for Mind Perception: The Role of Social Identity, Collective Identification, and Intergroup Threat

By: Leor M. Hackel, Christine E. Looser and Jay J. Van Bavel

Human faces are used as cues to the presence of social agents, and the ability to detect minds and mental states in others occupies a central role in social interaction. In the current research, we present evidence that the human propensity for mind perception is bound... View Details

Keywords: Groups and Teams; Identity; Personal Characteristics; Cognition and Thinking

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04 Sep 2008
Working Paper Summaries

Wellsprings of Creation: Perturbation and the Paradox of the Highly Disciplined Organization

Keywords: by David James Brunner, Bradley R. Staats, Michael L. Tushman & David M. Upton

July 2008
Article

Crime and Punishment in the 'American Dream'

By: Rafael Di Tella and Juan Dubra

We observe that countries where belief in the "American dream" (i.e., effort pays) prevails also set harsher punishment for criminals. We know that beliefs are also correlated with several features of the economic system (taxation, social insurance, etc). Our objective... View Details

Keywords: Crime and Corruption; Economic Systems; Values and Beliefs; Law Enforcement; Mathematical Methods; Personal Characteristics; United States

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2024
Working Paper

Managing Remote Work Quality: Evidence from Auditing Management Systems Standards

By: Ashley Palmarozzo and Michael W. Toffel

Remote work has become more common, providing operational flexibility and productivity benefits, but questions remain about whether and how it affects work quality. We investigate the quality effects of remote work in a context in which remote work separates workers... View Details

Keywords: Audit; Auditing; Remote Work; Compliance; Assessment; Environment; Management Systems; Quality Management; Quality Management System; Quality; Operations; Supply Chain Management; Environmental Management; Safety

Article

Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses

By: Kaivalya Rawal and Himabindu Lakkaraju

As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details

Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods

Article

Megastudies Improve the Impact of Applied Behavioural Science

By: Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman and Angela L. Duckworth

Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time... View Details

Keywords: Policy Making; Behavioral Science; Behavior; Change; Decision Making; Policy

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15 Aug 2023
Research & Ideas

Why Giving to Others Makes Us Happy

from an academic perspective and an applied perspective,” Whillans says. “From an academic perspective, we show that large sample sizes are needed to detect the emotional rewards of spending on others. From an applied perspective, as... View Details

Keywords: by Michael Blanding

2010
Working Paper

The Architecture of Complex Systems: Do Core-periphery Structures Dominate?

By: Alan MacCormack, Carliss Y. Baldwin and John Rusnak

Any complex technological system can be decomposed into a number of subsystems and associated components, some of which are core to system function while others are only peripheral. The dynamics of how such "core-periphery" structures evolve and become embedded in a... View Details

Keywords: Innovation and Management; Product Design; Practice; Core Relationships; Software; Information Technology Industry

Article

Large-Scale Field Experiment Shows Null Effects of Team Demographic Diversity on Outsiders' Willingness to Support the Team

By: Edward H. Chang, Erika L. Kirgios and Rosanna K. Smith

Demographic diversity in the United States is rising, and increasingly, work is conducted in teams. These co-occurring phenomena suggest that it might be increasingly common for work to be conducted by demographically diverse teams. But to date, in spite of copious... View Details

Keywords: Field Experiment; Groups and Teams; Demographics; Diversity; Attitudes

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2022
Working Paper

Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data

By: Alexander O. Everhart and Ariel D. Stern

Medical devices increasingly include software components, which facilitate remote patient monitoring. The introduction of software into previously analog medical devices as well as innovation in software-driven devices may introduce new safety concerns—all the more so... View Details

Keywords: Technological Innovation; Safety; Governing Rules, Regulations, and Reforms; Health Care and Treatment; Medical Devices and Supplies Industry

28 Oct 2014
First Look

First Look: October 28

conditions under which this will occur and provide strong empirical evidence for such behavior by exploiting a natural experiment in Ecuador. We find that when firms are notified by the tax authority about detected revenue discrepancies... View Details

Keywords: Carmen Nobel

January–February 2023
Article

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas

We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details

Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction

July 2013 (Revised August 2017)
Case

TaKaDu

By: Elie Ofek and Matthew Preble

In December 2012, Amir Peleg, founder and CEO of TaKaDu, reflected on how to position his young firm for the next fiscal year and beyond. The small Israeli startup had developed an innovative software system that used patented algorithms and statistical analysis to... View Details

January 2021
Case

Anodot: Autonomous Business Monitoring

By: Antonio Moreno and Danielle Golan

Autonomous business monitoring platform Anodot leveraged machine learning to provide 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... View Details

Keywords: Digital Platforms; Internet and the Web; Knowledge Sharing; Information Management; Sales; Value Creation; Product Positioning; Israel

November–December 2015
Article

Active Postmarketing Drug Surveillance for Multiple Adverse Events

By: Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati and Stefanos A. Zenios

Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical... View Details

Keywords: Drug Surveillance; Health Care; Stochastic Models; Queueing; Diffusion Approximation; Brownian Motion; Health Care and Treatment; Analytics and Data Science; Analysis

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2021
Working Paper

An Empirical Study of Time Allotment and Delays in E-commerce Delivery

By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein

Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details

Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity

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