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Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details

10 Oct 2023
Blog Post

Policy Drivers for Environmental Justice: What Businesses Need to Know

level-setting on terminology and definitions; major policy drivers and incentives in the US; and examples of EJ being applied by businesses, including areas where policy has resulted in action by businesses,... View Details

2013
Article

Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews

By: Jun Seok Kang, Polina Kuznetsova, Yejin Choi and Michael Luca

Restaurant hygiene inspections are often cited as a success story of public disclosure. Hygiene grades influence customer decisions and serve as an accountability system for restaurants. However, cities (which are responsible for inspections) have limited resources to... View Details

Keywords: Safety; Food; Governance Compliance; Mathematical Methods; Applications and Software; Public Administration Industry; Retail Industry; Food and Beverage Industry

January–February 2013
Article

Fairness, Efficiency and Flexibility in Organ Allocation for Kidney Transplantation

By: Dimitris Bertsimas, Vivek F. Farias and Nikolaos Trichakis

We propose a scalable, data-driven method for designing national policies for the allocation of deceased donor kidneys to patients on a waiting list, in a fair and efficient way. We focus on policies that have the same form as the one currently used in the United... View Details

Keywords: Health Care Policy; Healthcare; Fairness; Resource Allocation; Policy; Health Care and Treatment; Medical Specialties; Health Industry; United States

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January 2021 (Revised May 2021)
Case

Amazon Shopper Panel: Paying Customers for Their Data

By: Eva Ascarza and Ayelet Israeli

This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details

2020
Working Paper

Fresh Fruit and Vegetable Consumption: The Impact of Access and Value

By: Retsef Levi, Elisabeth Paulson and Georgia Perakis

The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited... View Details

Keywords: Food Deserts; Food Access; Food Policy; Causal Inference; Food; Nutrition; Poverty; Government Administration

Article

Om det meningslösa och farliga med monetär heroism [On the Futility and Hazards of Monetary Heroics]

By: Amar Bhide

The decentralized enterprise that sustains the dynamism of economies makes top-down monetary interventions, such as quantitative easing, that target aggregates such as overall inflation, futile. Moreover, economic stability and dynamism also require prudent,... View Details

Keywords: Innovation; Monetary Policy; Decentralization; Quantitative Easing

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2021
Working Paper

The Dance Between Government and Private Investors: Public Entrepreneurial Finance around the Globe

By: Jessica Bai, Shai Bernstein, Abhishek Dev and Josh Lerner

This paper examines the interaction between governments and private capital investors when financing early-stage ventures. We first provide a simple conceptual framework to explore when collaboration between governments and private investors is likely to emerge. Using... View Details

Keywords: Public Entrepreneurship; Subsidy; Industrial Policy; Entrepreneurship; Public Sector; Financing and Loans; Venture Capital; Global Range

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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2016
Case

Advanced Leadership Pathways: Harvey Freishtat and Conversations about End-of-Life Care

By: Rosabeth Moss Kanter, Ai-Ling Jamila Malone and Oludamilola Aladesanmi

Former law firm chairman/CEO Harvey Freishtat was actively involved in the formation of The Conversation Project, a national public engagement campaign to promote earlier end-of-life care discussions among loved ones and then with providers to ensure that end-of-life... View Details

Keywords: Health Care Education; Health Care Reform; Health Care Policy; Health; Health Care and Treatment; Leadership; Health Industry

September 2014 (Revised May 2015)
Case

The United Kingdom and the Means to Prosperity

By: Laura Alfaro, Lakshmi Iyer and Hilary White

After struggling through the country's longest recession since 2008, the U.K. was expected to grow faster than any other G7 nation in 2014. Analysts wondered whether the return to growth was because, or in spite of, Prime Minister David Cameron's controversial £113... View Details

2022
Article

Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response

By: Alexander MacKay and Samuel N. Weinstein

Pricing algorithms are rapidly transforming markets, from ride-sharing apps, to air travel, to online retail. Regulators and scholars have watched this development with a wary eye. Their focus so far has been on the potential for pricing algorithms to facilitate... View Details

Keywords: Competition Policy; Regulation; Algorithmic Pricing; Dynamic Pricing; Economics; Law And Economics; Law And Regulation; Consumer Protection; Antitrust Law; Industrial Organization; Antitrust Issues And Policies; Technological Change: Choices And Consequences; Competition; Policy; Price; Governing Rules, Regulations, and Reforms; Microeconomics; Duopoly and Oligopoly; Law

November 2014
Article

The Impact of Corporate Sustainability on Organizational Processes and Performance

By: Robert G. Eccles, Ioannis Ioannou and George Serafeim

We investigate the effect of corporate sustainability on organizational processes and performance. Using a matched sample of 180 U.S. companies, we find that corporations that voluntarily adopted sustainability policies by 1993—termed as High Sustainability... View Details

Keywords: Sustainability; Sustainability Management; Sustainability Research; Sustainability Reporting; Sustainability Targets; Corporate Social Responsibility; Corporate Accountability; Reporting; Corporate Governance; Investor Clientele; Investor Communication; Stock Market; Corporate Social Responsibility and Impact; Environmental Sustainability; Performance; United States

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2025
Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details

Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science

October 2011 (Revised March 2012)
Case

Cottle-Taylor: Expanding the Oral Care Group in India

By: John A. Quelch and Alisa Zalosh

Brinda Patel, director of oral care products for the India division of a consumer home-care product company, develops a data-driven marketing plan for toothbrushes. She believes her plan can support a 20% increase in unit sales based on rising demand for modern... View Details

Keywords: Forecasting; Budgeting; International Marketing; Product Planning ＆ Policy; Sales Promotions; Marketing Plans; Products; Marketing Strategy; Consumer Behavior; Emerging Markets; Forecasting and Prediction; Advertising; Product Launch; Budgets and Budgeting; Product Development; Consumer Products Industry; Health Industry; India

18 Apr 2023
Research & Ideas

What Happens When Banks Ditch Coal: The Impact Is 'More Than Anyone Thought'

Consumers who are eager to mitigate climate change can take many actions, such as reducing the number of airline flights they take or installing solar panels on their homes. But the planet is in a race against time, and individual action alone won’t help most countries... View Details

Keywords: by Barbara DeLollis; Financial Services; Mining

October 2017 (Revised April 2018)
Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson

Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details

Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States

June 2015 (Revised September 2017)
Supplement

Generating Higher Value at IBM

By: Benjamin C. Esty and Scott Mayfield

This case analyzes IBM's financial performance and its capital allocation decisions over a 10-year period from 2004-2013, during which IBM returned more than $140B to shareholders through a combination of dividends and share repurchases. During this time, CEO Sam... View Details

Keywords: Dividends; Share Repurchases; Earnings Guidance; Financial Statement Analysis; Financial Ratios; Payout Policy; Earnings Per Share (EPS); Earnings Management; Change Management; Leadership; Transformation; Financial Strategy

June 2015
Supplement

Generating Higher Value at IBM (A): EPS Forecasting Model

By: Benjamin C. Esty and Scott Mayfield

This case analyzes IBM's financial performance and its capital allocation decisions over a 10-year period from 2004-2013, during which IBM returned more than $140B to shareholders through a combination of dividends and share repurchases. During this time, CEO Sam... View Details

Keywords: Dividends; Share Repurchases; Earnings Guidance; Financial Statement Analysis; Financial Ratios; Payout Policy; Earnings Per Share (EPS); Earnings Management; Change Management; Leadership; Transformation; Financial Strategy

Research Summary

Overview

By: Ayelet Israeli

Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details

Keywords: Channel Management; Pricing; Pricing Policies; Online Marketing; E-commerce; Analytics; Econometrics; Field Experiments; Data Analytics; Artificial Intelligence; Value Of Data

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