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October 2022 (Revised February 2024)
Case

Masdar City: Aiming for Sustainable and Profitable Real Estate

By: Boris Vallee and Fares Khrais

Masdar City broke ground in 2008 and was conceived by the Abu Dhabi government to be an international beacon of innovation in sustainable energy and real estate. It was also to be a profitable investment for the government. At first glance, the two goals pulled in... View Details

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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2022
White Paper

The American Opportunity Index: A Corporate Scorecard of Worker Advancement

By: Matt Sigelman, Joseph Fuller, Nik Dawson and Gad Levanon

The American Opportunity Index: A Corporate Scorecard of Worker Advancement is a new effort to give companies and other stakeholders a set of robust tools that measure how well major employers are doing in fostering economic mobility for workers and how they could do... View Details

Keywords: Upward Mobility; Career Advancement; Personal Development and Career; Compensation and Benefits; Employees; Wages; Human Capital; Recruitment

September 2022 (Revised November 2022)
Teaching Note

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli

Teaching Note for HBS Case No. 522-046. View Details

August 2022
Supplement

Zalora: Data-Driven Pricing Recommendations

By: Ayelet Israeli

This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the... View Details

Keywords: Pricing; Pricing Algorithms; Dynamic Pricing; Ecommerce; Pricing Strategy; Pricing And Revenue Management; Apparel; Singapore; Startup; Demand Estimation; Data Analysis; Data Analytics; Exercise; Price; Internet and the Web; Apparel and Accessories Industry; Retail Industry; Fashion Industry; Singapore

2022
Article

Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations

By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju

As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details

Keywords: Prejudice and Bias; Mathematical Methods; Research; Analytics and Data Science

August 2022
Article

The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices

By: Aaron R. Brough, David A. Norton, Shannon L. Sciarappa and Leslie K. John

Drawing from a content analysis of publicly traded companies’ privacy notices, a survey of managers, a field study, and five online experiments, this research investigates how consumers respond to privacy notices. A privacy notice, by placing legally enforceable limits... View Details

Keywords: Choice; Purchase Intent; Privacy; Privacy Notices; Warnings; Assurances; Information Disclosure; Trust; Consumer Behavior; Spending; Decisions; Information; Communication

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July 2022 (Revised September 2024)
Case

Call of Fiduciary Duty: Microsoft Acquires Activision Blizzard

By: Jonas Heese, Joseph Pacelli and James Barnett

In January 2022, Microsoft announces its acquisition of the video game company Activision Blizzard, in a deal valued at $68.7 billion, which would make Microsoft the world’s third largest video game company. The deal came as Activision Blizzard faced gender pay... View Details

Keywords: Accounting; Goodwill Accounting; Analysis; Decision Making; Talent and Talent Management; Games, Gaming, and Gambling; Ethics; Leadership; Risk and Uncertainty; Mergers and Acquisitions; Lawsuits and Litigation; Entertainment and Recreation Industry; Video Game Industry; North America; California

May 2022
Supplement

Maestro Pizza (B): The Competition Awakens

By: Ramon Casadesus-Masanell and Fares Khrais

Maestro pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of... View Details

May 2022
Supplement

Maestro Pizza (C): Taking the Fight Outside

By: Ramon Casadesus-Masanell and Fares Khrais

Maestro pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of... View Details

May 2022
Case

Maestro Pizza: Coming in Hot!

By: Ramon Casadesus-Masanell and Fares Khrais

Maestro Pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of... View Details

2022
Working Paper

Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge

By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani

Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and... View Details

Keywords: Evaluations; Novelty; Feasibility; Field Experiment; Resource Allocation; Technological Innovation; Competitive Advantage; Decision Making

April 27, 2022
Article

Inequality in Researchers' Minds: Four Guiding Questions for Studying Subjective Perceptions of Economic Inequality

By: Jon M. Jachimowicz, Shai Davidai, Daniela Goya-Tocchetto, Barnabas Szaszi, Martin Day, Stephanie Tepper, L. Taylor Phillips, M. Usman Mirza, Nailya Ordabayeva and Oliver P. Hauser

Subjective perceptions of inequality can substantially influence policy attitudes, public health metrics, and societal well-being, but the lack of consensus in the scientific community on how to best operationalize and measure these perceptions may impede progress on... View Details

Keywords: Equality and Inequality; Perception; Analysis

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2022
Working Paper

THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions

By: Dimitris Bertsimas, Michael Lingzhi Li and Saksham Soni

Since December 2019, the world has been ravaged by the COVID-19 pandemic, with over 150 million confirmed cases and 3 million confirmed deaths worldwide. To combat the spread of COVID-19, governments have issued unprecedented non-pharmaceutical interventions (NPIs),... View Details

Keywords: COVID-19; Health Pandemics; Policy; Framework; Cost vs Benefits; Outcome or Result; United States; Germany; Brazil; Singapore; Spain

March 2022
Article

Sensitivity Analysis of Agent-based Models: A New Protocol

By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow

Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such... View Details

Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods

2022
Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju

As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods

February 2022 (Revised November 2022)
Case

Nuritas

By: Mitchell Weiss, Satish Tadikonda, Vincent Dessain and Emer Moloney

Nora Khaldi had built a technology “to unlock the power of nature” in the service of extending human lifespan and improving health, and now in April 2020 was debating telling her Board of Directors she wanted to put on ice some of her discoveries. Nuritas, the company... View Details

Keywords: Cash Burn; Cash Flow Analysis; Pharmaceutical Companies; Founder; Artificial Intelligence; AI; Entrepreneurship; Health Testing and Trials; Health Care and Treatment; Decision Making; Market Entry and Exit; AI and Machine Learning; Pharmaceutical Industry

January 2022
Technical Note

Ethical Analysis: Well-Being and Rights

By: Nien-hê Hsieh and Christopher Diak

This note introduces students to two central concepts for ethical analysis: well-being and rights. It illustrates ways in which they figure in managerial decisions and challenges that arise, including how to frame trade-offs across individual well-being and... View Details

Keywords: Ethics; Analysis; Rights; Well-being; Management Practices and Processes; Decision Making

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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Article

Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju

As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details

Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology

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