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      • March 2023
      • Article

      Learning to Successfully Hire in Online Labor Markets

      By: Marios Kokkodis and Sam Ransbotham
      Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of...  View Details
      Keywords: Selection and Staffing; Analysis; Decision Choices and Conditions
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      Kokkodis, Marios, and Sam Ransbotham. "Learning to Successfully Hire in Online Labor Markets." Management Science 69, no. 3 (March 2023): 1597–1614.
      • February 2023
      • Article

      Homophily and Acrophily as Drivers of Political Segregation

      By: Amit Goldenberg, Joseph M. Abruzzo, Zi Huang, Jonas Schone, David Bailey, Robb Willer, Eran Halperin and James J. Gross
      Political segregation is an important social problem, increasing polarization and impeding effective governance. Previous work has viewed the central driver of segregation to be political homophily, the tendency to associate with others who have similar views. Here we...  View Details
      Keywords: Political Affiliation; Extremism; Values and Beliefs; Identity; Groups and Teams; Emotions; Civil Society or Community
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      Goldenberg, Amit, Joseph M. Abruzzo, Zi Huang, Jonas Schone, David Bailey, Robb Willer, Eran Halperin, and James J. Gross. "Homophily and Acrophily as Drivers of Political Segregation." Nature Human Behaviour 7, no. 2 (February 2023): 219–230.
      • January 23, 2023
      • Article

      Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines

      By: Susan Athey, Kristen Grabarz, Michael Luca and Nils Wernerfelt
      Public health organizations increasingly use social media advertising campaigns in pursuit of public health goals. In this paper, we evaluate the impact of about $40 million of social media advertisements that were run and experimentally tested on Facebook and...  View Details
      Keywords: COVID-19 Pandemic; Public Health; Vaccines; Social Media; Advertising; Power and Influence; Health Care and Treatment
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      Athey, Susan, Kristen Grabarz, Michael Luca, and Nils Wernerfelt. "Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines." e2208110120. Proceedings of the National Academy of Sciences 120, no. 5 (January 23, 2023).
      • 2023
      • Working Paper

      Self-Preferencing at Amazon: Evidence from Search Rankings

      By: Chiara Farronato, Andrey Fradkin and Alexander MacKay
      We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study...  View Details
      Keywords: Consumer Behavior; E-commerce; Product Positioning; Brands and Branding; Consumer Products Industry
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      Farronato, Chiara, Andrey Fradkin, and Alexander MacKay. "Self-Preferencing at Amazon: Evidence from Search Rankings." NBER Working Paper Series, No. 30894, January 2023.
      • 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
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      Everhart, Alexander O., and Ariel D. Stern. "Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data." Harvard Business School Working Paper, No. 23-035, November 2022.
      • December 2022
      • Case

      Mission Produce in 2022

      By: Forest Reinhardt, Jose B. Alvarez and Natalie Kindred
      Founded by CEO Steve Barnard in 1983, California-based Mission Produce was a leading supplier of Hass avocados with a global sourcing, marketing, and distribution network and $892 million in 2021 sales. Barnard had been influential in the global avocado trade’s...  View Details
      Keywords: Agriculture and Agribusiness Industry; Food and Beverage Industry; Retail Industry; Consumer Products Industry; United States; California; Peru; Guatemala; Colombia; Mexico; Chile
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      Reinhardt, Forest, Jose B. Alvarez, and Natalie Kindred. "Mission Produce in 2022." Harvard Business School Case 723-026, December 2022.
      • December 2022
      • Article

      Fostering Perceptions of Authenticity via Sensitive Self-Disclosure

      By: Li Jiang, Leslie K. John, Reihane Boghrati and Maryam Kouchaki
      Leaders’ perceived authenticity—the sense that leaders are acting in accordance with their “true self”—is associated with positive outcomes for both employees and organizations alike. How might leaders foster this impression? We show that sensitive self-disclosure, in...  View Details
      Keywords: Authenticity; Weaknesses; Self-disclosure; Leaders; Impression Management; Leadership Style; Motivation and Incentives
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      Jiang, Li, Leslie K. John, Reihane Boghrati, and Maryam Kouchaki. "Fostering Perceptions of Authenticity via Sensitive Self-Disclosure." Journal of Experimental Psychology: Applied 28, no. 4 (December 2022): 898–915.
      • November 2022
      • Case

      Ajax Health: A New Model for Medical Technology Innovation

      By: Regina E. Herzlinger and Ben Creo
      This case teaches key success factors for both startups and established medtech firms. It examines how to structure a firm to maximize financial returns. Medtech entrepreneur Duke Rohlen is proposing a new model for innovation and business growth. From 2007 to 2019,...  View Details
      Keywords: Business Startups; Success; Innovation Strategy; Mergers and Acquisitions; Market Entry and Exit; Financial Strategy; Business Model; Partners and Partnerships; Entrepreneurship; Private Equity; Technology Industry; Medical Devices and Supplies Industry
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      Herzlinger, Regina E., and Ben Creo. "Ajax Health: A New Model for Medical Technology Innovation." Harvard Business School Case 323-043, November 2022.
      • November 2022
      • Teaching Note

      Proximie: Using XR Technology to Create Borderless Operating Rooms

      By: Ariel D. Stern, Alpana Thapar and Menna Hassan
      Founded by Nadine Hachach-Haram in 2016, Proximie was a digital medicine platform that used mixed reality and a host of digital audio and visual tools to enable clinicians, proctors, and medical device company personnel to be virtually present in operating rooms (ORs),...  View Details
      Keywords: Technological Innovation; Business Growth and Maturation; Growth and Development Strategy; Corporate Social Responsibility and Impact; Decision Making; Health Industry; Medical Devices and Supplies Industry
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      Stern, Ariel D., Alpana Thapar, and Menna Hassan. "Proximie: Using XR Technology to Create Borderless Operating Rooms." Harvard Business School Teaching Note 623-034, November 2022.
      • November 15, 2022
      • Article

      What Really Makes Toyota’s Production System Resilient

      By: Willy C. Shih
      Toyota has fared better than many of its competitors in riding out the supply chain disruptions of recent years. But focusing on how Toyota had stockpiled semiconductors and the problems of other manufacturers, some observers jumped to the conclusion that the era of...  View Details
      Keywords: Supplier Relationships; Manufacturing; Supply Chain; Production; Auto Industry; United States; Japan
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      Shih, Willy C. "What Really Makes Toyota’s Production System Resilient." Harvard Business Review Digital Articles (November 15, 2022).
      • November 2022
      • Article

      My Boss' Passion Matters as Much as My Own: The Interpersonal Dynamics of Passion Are a Critical Driver of Performance Evaluations

      By: Jon M. Jachimowicz, Andreas Wihler and Adam D. Galinsky
      Companies often celebrate employees who successfully pursue their passion. Academic research suggests that these positive evaluations occur because of the passion percolating inside the employee. We propose that supervisors are also a key piece of this puzzle:...  View Details
      Keywords: Passion; Job Performance; Motivation; Emotions; Performance Evaluation; Interpersonal Communication
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      Jachimowicz, Jon M., Andreas Wihler, and Adam D. Galinsky. "My Boss' Passion Matters as Much as My Own: The Interpersonal Dynamics of Passion Are a Critical Driver of Performance Evaluations." Special Issue on Work Passion Research: Taming Breadth and Promoting Depth. Journal of Organizational Behavior 43, no. 9 (November 2022): 1496–1515.
      • November–December 2022
      • Article

      Number One in Formula One: Leadership Lessons from Toto Wolff and Mercedes, the Team behind One of the Greatest Winning Streaks in All of Sports

      By: Anita Elberse
      Toto Wolff, the team principal for Mercedes-AMG Petronas—arguably the most impressive team in F1 racing history—has led his organization to unparalleled success. Mercedes earned the Constructors’ Championship (for best overall team performance) every year from 2014...  View Details
      Keywords: Formula One; Leadership; Organizational Culture; Management Style; Success
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      Elberse, Anita. "Number One in Formula One: Leadership Lessons from Toto Wolff and Mercedes, the Team behind One of the Greatest Winning Streaks in All of Sports." Harvard Business Review (November–December 2022): 70–78.
      • October 2022 (Revised December 2022)
      • Case

      SMART: AI and Machine Learning for Wildlife Conservation

      By: Brian Trelstad and Bonnie Yining Cao
      Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife...  View Details
      Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
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      Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
      • 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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      Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
      • Working Paper

      Representation and Extrapolation: Evidence from Clinical Trials

      By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
      This article examines the consequences and causes of low enrollment of Black patients in clinical trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is more relevant for decision-making by physicians and patients when it...  View Details
      Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
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      Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." NBER Working Paper Series, No. 30575, October 2022. (Revise and resubmit, Quarterly Journal of Economics.)
      • 2022
      • Working Paper

      Perceptions about Monetary Policy

      By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
      We estimate perceptions about the Fed's monetary policy rule from micro data on professional forecasters. The perceived rule varies significantly over time, with important consequences for monetary policy and bond markets. Over the monetary policy cycle, easings are...  View Details
      Keywords: Monetary Policy; Central Banking; Forecasting and Prediction; Policy; Interest Rates
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      Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions about Monetary Policy." NBER Working Paper Series, No. 30480, September 2022.
      • 2022
      • Article

      Rapid Growth of Remote Patient Monitoring Is Driven by a Small Number of Primary Care Providers

      By: Mitchell Tang, Ateev Mehrotra and Ariel Dora Stern
      Growing enthusiasm for remote patient monitoring has been motivated by the hope that it can improve care for patients with poorly controlled chronic illness. In a national commercially insured population in the U.S., we found that billing for remote patient monitoring...  View Details
      Keywords: Remote Monitoring; Medical Billing; Health Care Costs; Telehealth; Diabetes; Chronic Disease; Insurance Claims; Diseases; Primary Care Providers; COVID-19 Pandemic; Health Care and Treatment; Insurance; Cost; Health Industry; United States
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      Tang, Mitchell, Ateev Mehrotra, and Ariel Dora Stern. "Rapid Growth of Remote Patient Monitoring Is Driven by a Small Number of Primary Care Providers." Health Affairs 41, no. 9 (2022): 1248–1254.
      • September 2022
      • Article

      Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews

      By: Dennis W. Campbell and Ruidi Shang
      This paper examines whether information extracted via text-based statistical methods applied to employee reviews left on the website Glassdoor.com can be used to develop indicators of corporate misconduct risk. We argue that inside information on the incidence of...  View Details
      Keywords: Management Accounting; Management Control; Corporate Culture; Corporate Misconduct; Risk Measurement; Organizational Culture; Crime and Corruption; Risk and Uncertainty; Measurement and Metrics
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      Campbell, Dennis W., and Ruidi Shang. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews." Management Science 68, no. 9 (September 2022): 7034–7053.
      • 2022
      • Working Paper

      Can Finance Save the World? Measurement and Effects of Coal Divestment Policies by Banks

      By: Daniel Green and Boris Vallée
      We study whether divestment policies are an effective tool to address climate change, using coal lending bans by banks around the world as a laboratory. In contrast to theories arguing divestment is ineffective because capital is highly subsitutable, we find large...  View Details
      Keywords: Coal Power; Climate Change; Investment; Environmental Sustainability; Policy; Financing and Loans; Energy Industry; Banking Industry
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      Green, Daniel, and Boris Vallée. "Can Finance Save the World? Measurement and Effects of Coal Divestment Policies by Banks." Working Paper, August 2022.
      • 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
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      Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
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