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Article

Democratizing Work: Redistributing Power in Organizations for a Democratic and Sustainable Future

By: Julie Battilana, Julie Yen, Isabelle Ferreras and Lakshmi Ramarajan

Environmental destruction and social inequalities are increasingly urgent challenges. How can corporations, which have played a key role in creating and reproducing these problems, be part of the solution? In this paper, we advance that a shift to more democratic forms... View Details

Keywords: Corporate Citizenship; Corporate Social Responsibility; CSP; CSR; Domination; Industrial Relations; Power; Resistance; Work; Corporate Governance; Corporate Social Responsibility and Impact; Governance; Power and Influence; Environmental Management; Social Issues

2022
Working Paper

Rethinking Explainability as a Dialogue: A Practitioner's Perspective

By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh

As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between... View Details

Keywords: Natural Language Conversations; AI and Machine Learning; Experience and Expertise; Interactive Communication; Business and Stakeholder Relations

December 2021
Case

Should I Stay or Should I Go? Assessing Risk in Carlos Ghosn's International Escape

By: Eugene F. Soltes, Grace Liu and Muneeb Ahmed

In 2018, automotive tycoon Carlos Ghosn was arrested in Japan on financial misreporting charges, followed later by charges of improper payments and misappropriation of funds. Over a year later, still awaiting trial, Ghosn organized his escape from house arrest in Tokyo... View Details

Keywords: Crime and Corruption; Decision Making; Cost vs Benefits; Decision Choices and Conditions; Ethics; Cross-Cultural and Cross-Border Issues; Law; Courts and Trials; Rights; Risk and Uncertainty; Auto Industry; Japan

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... View Details

Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods

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November 2021 (Revised January 2022)
Case

Scott Tucker (A): Race to the Top

By: Aiyesha Dey and Amram Migdal

The case tells the story of the rise and fall of Scott Tucker, an entrepreneur, businessman, passionate race car driver, competitor, and owner of a professional racing team. From 1997 to 2012, Tucker built a nationwide network of payday lending businesses, becoming a... View Details

Keywords: Business Ventures; Crime and Corruption; Ethics; Fairness; Financing and Loans; Personal Finance; Governance; Corporate Accountability; Corporate Governance; Governance Compliance; Governance Controls; Financial Services Industry; United States

November 2021 (Revised January 2022)
Supplement

Scott Tucker (B): The Feds Catch Up

By: Aiyesha Dey and Amram Migdal

The case tells the story of the rise and fall of Scott Tucker, an entrepreneur, businessman, passionate race car driver, competitor, and owner of a professional racing team. From 1997 to 2012, Tucker built a nationwide network of payday lending businesses, becoming a... View Details

Keywords: Business Ventures; Crime and Corruption; Ethics; Fairness; Financing and Loans; Personal Finance; Governance; Corporate Accountability; Corporate Governance; Governance Compliance; Governance Controls; Financial Services Industry; United States

November 2021 (Revised December 2021)
Supplement

PittaRosso (B): Human and Machine Learning

By: Ayelet Israeli

This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details

November 2021
Article

A Salient Sugar Tax Decreases Sugary Drink Buying

By: Grant E. Donnelly, Paige Guge, Ryan Howell and Leslie John

Many governments have introduced sugary drink excise taxes to reduce purchasing and consumption of such drinks; however, they do not typically stipulate how such taxes should be communicated at point-of-purchase. Historical, field, and experimental data entailing over... View Details

Keywords: Decision-making; Open Data; Open Materials; Preregistered; Health; Policy; Taxation; Consumer Behavior; Decision Making

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Article

Drive Innovation with Better Decision-Making

By: Linda A. Hill, Emily Tedards and Taran Swan

Despite their embrace of agile methods, many firms striving to innovate are struggling to produce breakthrough ideas. A key culprit, according to the authors, is an outdated, inefficient approach to decision-making. Today’s discovery-driven innovation processes involve... View Details

Keywords: Innovation and Invention; Decision Making; Decision Choices and Conditions; Organizational Change and Adaptation

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Article

Financial Shame Spirals: How Shame Intensifies Financial Hardship

By: Joe J. Gladstone, Jon M. Jachimowicz, Adam Eric Greenberg and Adam D. Galinsky

Financial hardship is an established source of shame. This research explores whether shame is also a driver and exacerbator of financial hardship. Six experimental, archival, and correlational studies (N = 9,110)—including data from customer bank account histories and... View Details

Keywords: Financial Hardship; Financial Decision-making; Shame; Guilt; Personal Finance; Financial Condition; Decision Making; Emotions

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October 2021 (Revised March 2022)
Supplement

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli and Fabrizio Fantini

PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details

October 2021 (Revised June 2022)
Case

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli

PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details

2021
Working Paper

A (Dynamic) Investigation of Stereotypes, Belief-Updating, and Behavior

By: Katherine B. Coffman, Paola Ugalde Araya and Basit Zafar

Many decisions—such as what educational or career path to pursue—are dynamic in nature, with individuals receiving feedback at one point in time and making decisions later. Using a controlled experiment, with two sessions one week apart, we analyze the dynamic effects... View Details

Keywords: Feedback; Beliefs; Stereotypes; Self-assessment; Gender Gap; Performance; Perception; Gender; Decision Making; Behavior

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Article

The Harmonization of Lending Standards within Banks through Mandated Loan-Level Transparency

By: Jung Koo Kang, Maria Loumioti and Regina Wittenberg-Moerman

We explore whether the introduction of transparent reporting rules increases credit standard harmonization within a bank. We exploit the new loan-level reporting rules imposed on banks that borrow from the European Central Bank using repurchase agreements... View Details

Keywords: Transparency; External And Internal Reporting; Credit Term Harmonization; Regulatory Scrutiny; Banks and Banking; Credit; Financial Reporting; Governing Rules, Regulations, and Reforms; Learning

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2021
Working Paper

Accounting for Product Impact in the Oil and Gas Industry

By: Katie Panella, George Serafeim and Katie Trinh

We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the oil and gas industry. We design a monetization methodology that allows us to calculate monetary product impact estimates of... View Details

2021
Working Paper

Accounting for Product Impact in the Pharmaceuticals Industry

By: Amanda Rischbieth, George Serafeim and Katie Trinh

We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the pharmaceuticals industry. We design a monetization methodology that allows us to calculate monetary impact estimates of accessible... View Details

2021
Working Paper

Accounting for Product Impact in the Interactive Media and Services Industry

By: DG Park, George Serafeim and Katie Trinh

We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the interactive media and services industry. We design a monetization methodology that allows us to calculate monetary impact... View Details

2021
Working Paper

Accounting for Product Impact in the Telecommunications Industry

By: George Serafeim and Katie Trinh

We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the telecommunications industry. We design a monetization methodology that allows us to calculate monetary impact estimates of network... View Details

2021
Working Paper

Accounting for Product Impact in the Water Utilities Industry

By: George Serafeim and Katie Trinh

We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the water utilities industry. We design a monetization methodology that allows us to calculate monetary impact estimates of water... View Details

February 2021
Case

The Tulsa Massacre and the Call for Reparations

By: Mihir Desai, Ruth Page, Suzanne Antoniou and Leanne Fan

How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details

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