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      • April 2024
      • Case

      Dr. Tom Mihaljevic and Cleveland Clinic

      By: Linda A. Hill and Lydia Begag
      In December 2022, Dr. Tomislav (“Tom”) Mihaljevic, CEO and President of Cleveland Clinic, was reflecting on the last few years at the hospital, marked both by unprecedented challenges and remarkable achievements. Cleveland Clinic had recently been ranked the world’s... View Details
      Keywords: Recruitment; Retention; Analytics and Data Science; Digital Transformation; Digital Platforms; Innovation and Management; Innovation Leadership; Human Capital; Leadership Development; Leadership Style; Leading Change; Organizational Culture; Organizational Structure; Organizational Change and Adaptation; Mission and Purpose; Outcome or Result; Performance Evaluation; Health Pandemics; Goals and Objectives; Health Industry; Cleveland; London; Abu Dhabi; Florida; Ohio
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      Hill, Linda A., and Lydia Begag. "Dr. Tom Mihaljevic and Cleveland Clinic." Harvard Business School Case 424-031, April 2024.
      • 2024
      • Working Paper

      Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions

      By: Caleb Kwon, Ananth Raman and Jorge Tamayo
      We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
      Keywords: AI and Machine Learning; Forecasting and Prediction; Working Conditions; Performance Productivity
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      Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
      • 2024
      • Working Paper

      Does the Case for Private Equity Still Hold?

      By: Nori Gerardo Lietz and Philipp Chvanov
      Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions... View Details
      Keywords: Private Equity; Investment Return; Investment Portfolio; Financial Markets
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      Lietz, Nori Gerardo, and Philipp Chvanov. "Does the Case for Private Equity Still Hold?" Harvard Business School Working Paper, No. 24-066, January 2024.
      • April 2024
      • Article

      A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification

      By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
      Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
      Keywords: Health Disorders; Health Testing and Trials; AI and Machine Learning; Health Industry
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      Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
      • April 2024
      • Article

      Decision Authority and the Returns to Algorithms

      By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
      We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these... View Details
      Keywords: Algorithmic Aversion; Algorithmic Decision Making; Algorithms; Public Entrepreneurship; Govenment; Local Government; Crowdsourcing; Crowdsourcing Contests; Inspection; Principal-agent Theory; Government Administration; Decision Making; Public Administration Industry; United States
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      Kim, Hyunjin, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Decision Authority and the Returns to Algorithms." Strategic Management Journal 45, no. 4 (April 2024): 619–648.
      • April–May 2024
      • Article

      Gone with the Big Data: Institutional Lender Demand for Private Information

      By: Jung Koo Kang
      I explore whether big-data sources can crowd out the value of private information acquired through lending relationships. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in financial markets. As a shock... View Details
      Keywords: Analytics and Data Science; Borrowing and Debt; Financial Markets; Value; Knowledge Dissemination; Financing and Loans
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      Kang, Jung Koo. "Gone with the Big Data: Institutional Lender Demand for Private Information." Art. 101663. Journal of Accounting & Economics 77, nos. 2-3 (April–May 2024).
      • March–April 2024
      • Article

      Retailers and Health Systems Can Improve Care Together

      By: Robert S. Huckman, Vivian S. Lee and Bradley R Staats
      Health systems are struggling to address the many shortcomings of health care delivery: rapidly growing costs, inconsistent quality, and inadequate and unequal access to primary and other types of care. However, if retailers and health systems were to form strong... View Details
      Keywords: Health Care; Retail; Retailers; Consumer; Health Care and Treatment; Value; Consumer Behavior; Business Model; Partners and Partnerships; Health Industry; Retail Industry; United States
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      Huckman, Robert S., Vivian S. Lee, and Bradley R Staats. "Retailers and Health Systems Can Improve Care Together." Harvard Business Review 102, no. 2 (March–April 2024): 120–127.
      • April 2024
      • Article

      Speaking up and Taking Action: Psychological Safety and Joint Problem-solving Orientation in Safety Improvement

      By: Hassina Bahadurzada, Michaela J. Kerrissey and Amy C. Edmondson
      Healthcare organizations face stubborn challenges in ensuring patient safety and mitigating clinician turnover. This paper aims to advance theory and research on patient safety by elucidating how the role of psychological safety in patient safety can be enhanced with... View Details
      Keywords: Healthcare Operations; Psychological Safety; Teams; Retention; Safety; Customer Satisfaction; Organizational Culture; Performance Evaluation; Health Industry
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      Bahadurzada, Hassina, Michaela J. Kerrissey, and Amy C. Edmondson. "Speaking up and Taking Action: Psychological Safety and Joint Problem-solving Orientation in Safety Improvement." Art. 812. Healthcare 12, no. 8 (April 2024).
      • March 2024 (Revised May 2024)
      • Case

      Amperity: First-Party Data at a Crossroads

      By: Elie Ofek, Hema Yoganarasimhan and Alexis Lefort
      In the summer of 2023, Amperity management was facing a critical decision on its future direction. Given the dramatic changes occurring within the digital advertising ecosystem, as concerns over consumer privacy placed limits on the ability to engage in third-party... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Business Strategy; Digital Marketing; Price; Product; Business or Company Management; Advertising Industry
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      Ofek, Elie, Hema Yoganarasimhan, and Alexis Lefort. "Amperity: First-Party Data at a Crossroads." Harvard Business School Case 524-017, March 2024. (Revised May 2024.)
      • March 2024 (Revised January 2025)
      • Case

      Hippo: Weathering the Storm of the Home Insurance Crisis

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Rick McCathron, CEO of Hippo, considered how the firm’s underwriting model could account for the effects of climate change. Along with providing smart home packages, targeting risk-friendly customers, and using data-driven pricing, the Insurtech used technologically... View Details
      Keywords: Fintech; Underwriters; Big Data; Insurance Companies; Business Model Design; Weather Insurance; Business Model; Forecasting and Prediction; Climate Change; Environmental Sustainability; Green Technology; Technological Innovation; Natural Environment; Natural Disasters; Weather; Business Strategy; Competitive Advantage; Business Earnings; Insurance; Social Issues; Insurance Industry; United States; California
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      Cohen, Lauren, Grace Headinger, and Sophia Pan. "Hippo: Weathering the Storm of the Home Insurance Crisis." Harvard Business School Case 224-080, March 2024. (Revised January 2025.)
      • March 2024 (Revised June 2024)
      • Case

      Kashat: Navigating the Uncertainties of the Egyptian Fintech Market

      By: Paul A. Gompers and Ahmed Dahawy
      Karim Nour, the founder of Kashat, an Egyptian nano-lending fintech company, is contemplating how to manage the growth of his startup. Over the summer of 2022, Kashat's loan disbursements had grown by nearly 40%, fueled by macroeconomic instability in Egypt. However,... View Details
      Keywords: Fintech; Business Model; Developing Countries and Economies; Acquisition; Business Exit or Shutdown; Mobile and Wireless Technology; Business Growth and Maturation; Business Startups; Financing and Loans; Capital; Financial Services Industry; Banking Industry; Egypt
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      Gompers, Paul A., and Ahmed Dahawy. "Kashat: Navigating the Uncertainties of the Egyptian Fintech Market." Harvard Business School Case 824-055, March 2024. (Revised June 2024.)
      • 2024
      • Working Paper

      The Cram Method for Efficient Simultaneous Learning and Evaluation

      By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
      We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
      Keywords: AI and Machine Learning
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      Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
      • March 2024
      • Supplement

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Peter Fader, Bruce G.S. Hardie and Michael Ross
      This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States
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      Ascarza, Eva, Peter Fader, Bruce G.S. Hardie, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School PowerPoint Supplement 524-068, March 2024.
      • March 2024
      • Supplement

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross
      This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States
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      Ascarza, Eva, Bruce Hardie, Peter S. Fader, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Spreadsheet Supplement 524-707, March 2024.
      • March 2024
      • Supplement

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross
      This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States
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      Ascarza, Eva, Bruce Hardie, Peter S. Fader, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Spreadsheet Supplement 524-706, March 2024.
      • March 2024
      • Teaching Note

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Peter S. Fader, Bruce Hardie and Michael Ross
      Teaching Note for HBS Case No. 524-046. This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Customer Value and Value Chain; Retail Industry; United States
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      Ascarza, Eva, Peter S. Fader, Bruce Hardie, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Teaching Note 524-047, March 2024.
      • March 2024
      • Case

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Bruce Hardie, Michael Ross and Peter S. Fader
      This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Customer Value and Value Chain; Retail Industry; United States
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      Ascarza, Eva, Bruce Hardie, Michael Ross, and Peter S. Fader. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Case 524-046, March 2024.
      • 2024
      • Working Paper

      Appropriate Entrepreneurship? The Rise of China and the Developing World

      By: Josh Lerner, Junxi Liu, Jacob Moscona and David Yang
      Global innovation and entrepreneurship has traditionally been dominated by a handful of high-income countries, especially the US. This paper investigates the international consequences of the rise of a new hub for innovation, focusing on the dramatic growth of... View Details
      Keywords: Entrepreneurship; Venture Capital; Emerging Markets; Economic Growth; China
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      Lerner, Josh, Junxi Liu, Jacob Moscona, and David Yang. "Appropriate Entrepreneurship? The Rise of China and the Developing World." Harvard Business School Working Paper, No. 24-061, March 2024. (Revise and resubmit, Journal of Political Economy.)
      • 2023
      • Working Paper

      An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

      By: Biyonka Liang and Iavor I. Bojinov
      Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
      Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods
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      Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
      • 2024
      • Working Paper

      Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

      By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
      Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
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