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      • February 10, 2023
      • Article

      The Case for Having a Boring CEO

      By: Rosabeth Moss Kanter
      CEOs who avoid the cameras and minimize drama offer valuable leadership lessons. Their lifestyles aren’t splashed on the pages of magazines. They don’t speak out on every public issue, and their pronouncements are balanced and cautious. Sometimes when I name them as my...  View Details
      Keywords: CEO; Leadership; Company Management; Personal Brand; Reliability; Humility; Public Opinion
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      Kanter, Rosabeth Moss. "The Case for Having a Boring CEO." Wall Street Journal (online) (February 10, 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.
      • October 25, 2022
      • Article

      Why Sharing Economic Growth with the Community Is Good Business

      By: José A. Tiburcio, Lino Miguel Dias and Robert S. Kaplan
      Subsistence dairy ranchers in Central America struggle to stay afloat during the dry season when grass is scarce. Global life sciences company Bayer has launched a program to enable them to produce their own corn silage feed. The results of this program are helping to...  View Details
      Keywords: Sharing Economy; Innovation; Economic Growth; Poverty; Production; Supply Chain; Social Enterprise; Agriculture and Agribusiness Industry; Central America
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      Tiburcio, José A., Lino Miguel Dias, and Robert S. Kaplan. "Why Sharing Economic Growth with the Community Is Good Business." Harvard Business Review (website) (October 25, 2022).
      • 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.
      • August 2022
      • Case

      Sweet Teez Bakery: Projecting the Dough’s Rise

      By: Emily R. McComb, Mel Martin and Amy Klopfenstein
      In 2021, the HBS Impact Investment Fund student team met with entrepreneur Teresa Maynard, who had applied for a $25,000 impact investment loan. The students thought the former Harvard Data Scientist’s bakery business, Sweet Teez Bakery, showed promise. Maynard had...  View Details
      Keywords: Impact Investment; Entrepreneurship; Social Entrepreneurship; Finance; Investment; Goods and Commodities; Financial Reporting; Small Business; Food and Beverage Industry; United States; Massachusetts
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      McComb, Emily R., Mel Martin, and Amy Klopfenstein. "Sweet Teez Bakery: Projecting the Dough’s Rise." Harvard Business School Case 223-004, August 2022.
      • August 2022
      • Supplement

      Sweet Teez Bakery: Projecting the Dough’s Rise Financial Supplement

      By: Emily R. McComb, Mel Martin and Amy Klopfenstein
      Abstract: In 2021, the HBS Impact Investment Fund student team met with entrepreneur Teresa Maynard, who had applied for a $25,000 impact investment loan. The students thought the former Harvard Data Scientist’s bakery business, Sweet Teez Bakery, showed promise....  View Details
      Keywords: Impact Investment; Entrepreneurship; Social Entrepreneurship; Finance; Investment; Goods and Commodities; Financial Reporting; Small Business; Food and Beverage Industry; Massachusetts; United States
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      McComb, Emily R., Mel Martin, and Amy Klopfenstein. "Sweet Teez Bakery: Projecting the Dough’s Rise Financial Supplement." Harvard Business School Spreadsheet Supplement 223-702, August 2022.
      • 2022
      • Article

      Data Poisoning Attacks on Off-Policy Evaluation Methods

      By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
      Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats...  View Details
      Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods
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      Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Special Issue on Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022). Proceedings of Machine Learning Research (PMLR) 180 (2022): 1264–1274.
      • 2022
      • Working Paper

      Moral Thin-Slicing

      By: Julian De Freitas and Alon Hafri
      Given limits on time and attention, people increasingly make moral evaluations in a few seconds or less, yet it is unknown whether such snap judgments are accurate or not. On one hand, the literature suggests that people form fast moral impressions once they already...  View Details
      Keywords: Moral Judgement; Thin Slices; Social Media; Fake News; Misinformation; Moral Sensibility; Behavior; News
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      De Freitas, Julian, and Alon Hafri. "Moral Thin-Slicing." Harvard Business School Working Paper, No. 23-002, July 2022. (Revised December 2022.)
      • 2022
      • Article

      Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.

      By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
      As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has...  View Details
      Keywords: Graph Neural Networks; Explanation Methods; Mathematical Methods; Framework; Theory; Analysis
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      Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • 2022
      • Working Paper

      Uniform Rate Setting and the Deposit Channel

      By: Juliane Begenau and Erik Stafford
      Banks do not completely pass-through changes in short-term market rates to depositors. The deposit channel of monetary policy proposes that banks choose the rate of pass-through across their branches based on local deposit market concentration, which consequently...  View Details
      Keywords: Banks and Banking; Financial Markets; Interest Rates; Banking Industry
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      Begenau, Juliane, and Erik Stafford. "Uniform Rate Setting and the Deposit Channel." Working Paper, May 2022.
      • March 2022 (Revised May 2022)
      • Case

      Reclaiming the Land of Purple: Purpl’s Mission to Unlock Finance in Lebanon

      By: Lauren Cohen and Grace Headinger
      Karl Naim, Co-Founder and CEO of Purpl, embarked on a venture to lower remittance costs for his native Lebanon. Since October 2019, the Lebanese economy had entered a free fall as its banking sector collapsed and large swathes of its population were plunged into...  View Details
      Keywords: Business Startup; Fintech; Inflation; Deflation; Cross-border Frictions; Remittances; Business Startups; Diasporas; Financial Crisis; Money; Entrepreneurship; Cross-Cultural and Cross-Border Issues; Poverty; Financial Institutions; Banking Industry; Financial Services Industry; Technology Industry; Lebanon
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      Cohen, Lauren, and Grace Headinger. "Reclaiming the Land of Purple: Purpl’s Mission to Unlock Finance in Lebanon." Harvard Business School Case 222-078, March 2022. (Revised May 2022.)
      • Article

      Counterfactual Explanations Can Be Manipulated

      By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
      Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate...  View Details
      Keywords: Machine Learning Models; Counterfactual Explanations
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      Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • 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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      Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • November 2021 (Revised December 2021)
      • Case

      Praava Health: A New Model for Bangladesh

      By: Michael Chu
      Launched in Dhaka, Bangladesh, in 2018, Praava Health (‘Praava’) delivered high-quality in-clinic primary and specialist care, backed by its own high quality diagnostic laboratories, imaging and pharmacy. Praava was founder Sylvana Sinha’s response to what she saw as a...  View Details
      Keywords: Entrepreneurship; Health Care and Treatment; Investment Return; Mobile and Wireless Technology; Business Model; Growth and Development Strategy; Health Industry; Bangladesh; Asia
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      Chu, Michael. "Praava Health: A New Model for Bangladesh." Harvard Business School Case 322-067, November 2021. (Revised December 2021.)
      • Article

      Complementarity between Audited Financial Reporting and Voluntary Disclosure: The Case of Former Andersen Clients

      By: Richard Frankel, Alon Kalay, Gil Sadka and Yuan Zou
      Prior literature presents various perspectives on the role of financial reporting. One view is that mandatory periodic reporting disciplines managers and encourages timely voluntary disclosure. We examine this "confirmation hypothesis" using the shock to financial...  View Details
      Keywords: Financial Disclosure; Mandatory Reporting; Reliability; Voluntary Disclosure; Financial Reporting; Quality; Corporate Disclosure
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      Frankel, Richard, Alon Kalay, Gil Sadka, and Yuan Zou. "Complementarity between Audited Financial Reporting and Voluntary Disclosure: The Case of Former Andersen Clients." Accounting Review 96, no. 6 (November 2021): 215–238.
      • November 2021
      • Article

      Determining Variable Costs in the Acute Urolithiasis Cycle of Care Through Time-driven Activity-based Costing

      By: Tyler R. McClintock, David F. Friedlander, Aiden Y. Feng, Mahek A. Shah, Daniel J. Pallin, Steven L. Chang, Angela M. Bader, Thomas W. Feeley, Robert S. Kaplan and George E. Haleblian
      Objective. To characterize full cycle of care costs for managing an acute ureteral stone using time-driven activity-based costing.
      Methods. We defined all phases of care for patients presenting with an acute ureteral stone and built an...  View Details
      Keywords: Time-Driven Activity-Based Costing; Health Care and Treatment; Cost; Activity Based Costing and Management
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      McClintock, Tyler R., David F. Friedlander, Aiden Y. Feng, Mahek A. Shah, Daniel J. Pallin, Steven L. Chang, Angela M. Bader, Thomas W. Feeley, Robert S. Kaplan, and George E. Haleblian. "Determining Variable Costs in the Acute Urolithiasis Cycle of Care Through Time-driven Activity-based Costing." Urology 157 (November 2021): 107–113.
      • 2022
      • Working Paper

      The Value of Professional Ties in B2B Markets

      By: Navid Mojir and Sriya Anbil
      We study how a particular form of social ties (i.e., professional ties proxied by past employment) affect price and profitability in business-to-business (B2B) markets. While most of the work on social ties focuses on information diffusion in business-to-consumer...  View Details
      Keywords: Professional Ties; Social Ties; Business-to-business Marketing; B2B Marketing; Repo; Individual Connections; B2B Pricing; Pricing; Decision-making In Financial Markets; Marketing; Relationships; Price; Financial Markets; Decision Making
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      Mojir, Navid, and Sriya Anbil. "The Value of Professional Ties in B2B Markets." Harvard Business School Working Paper, No. 22-037, November 2021. (Revised August 2022.)
      • October 2021 (Revised December 2021)
      • Case

      Customer-Centric Design with Artificial Intelligence: Commonwealth Bank

      By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo
      As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer...  View Details
      Keywords: Artificial Intelligence; Customer-centricity; Banks and Banking; Customer Focus and Relationships; Technological Innovation; Transformation; Organizational Change and Adaptation; Performance; AI and Machine Learning; Financial Services Industry; Australia
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      Lakhani, Karim R., Yael Grushka-Cockayne, Jin Hyun Paik, and Steven Randazzo. "Customer-Centric Design with Artificial Intelligence: Commonwealth Bank." Harvard Business School Case 622-065, October 2021. (Revised December 2021.)
      • September 2021
      • Article

      Income More Reliably Predicts Frequent Than Intense Happiness

      By: Jon M. Jachimowicz, Ruo Mo, Adam Eric Greenberg, Bertus Jeronimus and Ashley V. Whillans
      There is widespread consensus that income and subjective well-being are linked, but when and why they are connected is subject to ongoing debate. We draw on prior research that distinguishes between the frequency and intensity of happiness to suggest that higher income...  View Details
      Keywords: Life Satisfaction; Time Use; Happiness; Income; Money; Satisfaction
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      Jachimowicz, Jon M., Ruo Mo, Adam Eric Greenberg, Bertus Jeronimus, and Ashley V. Whillans. "Income More Reliably Predicts Frequent Than Intense Happiness." Social Psychological & Personality Science 12, no. 7 (September 2021): 1294–1306.
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