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Publications

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    • All HBS Web  (1,269)
      • Faculty Publications  (167)

      Qualitative Methods (General)Remove Qualitative Methods (General) →

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      • 2018
      • Working Paper

      Diagnostic Bubbles

      By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
      We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details
      Keywords: Bubbles; Price Bubble; Mathematical Methods
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      Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." NBER Working Paper Series, No. 25399, December 2018.
      • November 2018 (Revised October 2019)
      • Case

      Rebuilding Puerto Rico

      By: Laura Alfaro, Laura Phillips Sawyer and Haviland Sheldahl-Thomason
      On September 20, 2017, Hurricane Maria swept over Puerto Rico, devastating the island’s infrastructure and agriculture. The natural disaster was layered atop years of mounting financial distress. Before the hurricane, Puerto Rico had accumulated $74 billion in debt and... View Details
      Keywords: Natural Disasters; Financial Crisis; Infrastructure; Borrowing and Debt; Economy; Strategic Planning; Governing Rules, Regulations, and Reforms; Puerto Rico
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      Alfaro, Laura, Laura Phillips Sawyer, and Haviland Sheldahl-Thomason. "Rebuilding Puerto Rico." Harvard Business School Case 719-018, November 2018. (Revised October 2019.)
      • November–December 2018
      • Article

      Online Network Revenue Management Using Thompson Sampling

      By: Kris J. Ferreira, David Simchi-Levi and He Wang
      We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must... View Details
      Keywords: Online Marketing; Revenue Management; Revenue; Management; Marketing; Internet and the Web; Price; Mathematical Methods
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      Ferreira, Kris J., David Simchi-Levi, and He Wang. "Online Network Revenue Management Using Thompson Sampling." Operations Research 66, no. 6 (November–December 2018): 1586–1602.
      • October 2018
      • Article

      The Operational Value of Social Media Information

      By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
      While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details
      Keywords: Machine Learning; Information; Sales; Forecasting and Prediction; Social Media
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      Cui, Ruomeng, Santiago Gallino, Antonio Moreno, and Dennis J. Zhang. "The Operational Value of Social Media Information." Special Issue on Big Data in Supply Chain Management. Production and Operations Management 27, no. 10 (October 2018): 1749–1774.
      • Article

      Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience

      By: Robert S. Kaplan, Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee and Edward B. Clark
      Objective
      To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
      Keywords: Academic Medicine; Cost; Children; Graduate Medical Education
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      Kaplan, Robert S., Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee, and Edward B. Clark. "Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience." Academic Pediatrics 18, no. 7 (September–October 2018): 837–842.
      • August 2018
      • Article

      Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain

      By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
      How do teams working on complex projects get the help they need? Our qualitative investigation of the help provided to project teams at a prominent design firm revealed two distinct helping processes, both characterized by deep, sustained engagement that far exceeds... View Details
      Keywords: Helping; Rhythm; Prosocial Behavior; External Team Leadership; Social Construction; Time; Qualitative Methods; Field Research; Groups and Teams; Projects; Behavior; Leadership; Social and Collaborative Networks
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      Fisher, Colin M., Julianna Pillemer, and Teresa M. Amabile. "Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain." Academy of Management Journal 61, no. 4 (August 2018): 1524–1553.
      • August 2018
      • Article

      Extrapolation and Bubbles

      By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer
      We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals: an average of the asset’s past price changes and the asset’s degree of overvaluation. The two signals are in conflict, and investors... View Details
      Keywords: Bubble; Extrapolation; Volume; Price Bubble; Mathematical Methods
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      Barberis, Nicholas, Robin Greenwood, Lawrence Jin, and Andrei Shleifer. "Extrapolation and Bubbles." Journal of Financial Economics 129, no. 2 (August 2018): 203–227.
      • 2018
      • Working Paper

      Learning to Become a Taste Expert

      By: Kathryn A. Latour and John A. Deighton
      Evidence suggests that consumers seek to become more expert about hedonic products to enhance their enjoyment of future consumption occasions. Current approaches to becoming an expert center on cultivating an analytic mindset. In the present research the authors... View Details
      Keywords: Hedonic; Wine; Expertise; Holistic; Analytic; Sensory; Taste; Learning; Experience and Expertise; Analysis; Perception
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      Latour, Kathryn A., and John A. Deighton. "Learning to Become a Taste Expert." Harvard Business School Working Paper, No. 18-107, June 2018.
      • Article

      Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits

      By: David R. Bell, Santiago Gallino and Antonio Moreno
      Omnichannel environments where customers shop online and offline at the same retailer are ubiquitous and are deployed by online-first and traditional retailers alike. We focus on the relatively understudied domain of online-first retailers and the engagement of a key... View Details
      Keywords: Experience Attributes; Marketing–operations Interface; Omnichannel Retailing; Quasi-experimental Methods; Retail Operations; Showrooms; Marketing Channels; Demand and Consumers; Performance Efficiency; Retail Industry
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      Bell, David R., Santiago Gallino, and Antonio Moreno. "Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits." Management Science 64, no. 4 (April 2018): 1629–1651. (Winner of the 2014 POMS Applied Research Challenge. Workshop on Information Systems Economics Overall Best Paper Award 2014.)
      • 2019
      • Working Paper

      Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

      By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
      We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
      Keywords: Spoken Communication; Business History; Analytics and Data Science; Finance; Performance
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      Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
      • 2023
      • Working Paper

      Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection

      By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
      In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
      Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
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      McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.
      • 2017
      • Working Paper

      Investment Timing with Costly Search for Financing

      By: Samuel Antill
      I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can... View Details
      Keywords: Real Options; Search And Bargaining; Time-varying Financial Conditions; Investment; Venture Capital; Mathematical Methods
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      Antill, Samuel. "Investment Timing with Costly Search for Financing." Working Paper, December 2017.
      • 2017
      • Working Paper

      Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain

      By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
      How do teams working on complex projects get the help they need? Our qualitative investigation of the help provided to project teams at a prominent design firm revealed two distinct helping processes, both characterized by deep, sustained engagement that far exceeds... View Details
      Keywords: Helping; Rhythm; Prosocial Behavior; External Team Leadership; Social Construction; Time; Qualitative Methods; Field Research; Groups and Teams; Projects; Behavior; Social and Collaborative Networks
      Citation
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      Fisher, Colin M., Julianna Pillemer, and Teresa M. Amabile. "Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain." Harvard Business School Working Paper, No. 18-035, October 2017.
      • 2019
      • Chapter

      Quantitative and Qualitative Methods in Organizational Research

      By: Amy C. Edmondson and Tiona Zuzul
      Selecting the appropriate method for a given research question is an essential skill for organizational researchers. High-quality research involves a good fit between the methods used and the nature of the contribution to the literature. This article describes a... View Details
      Keywords: Mathematical Methods; Organizations
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      Edmondson, Amy C., and Tiona Zuzul. "Quantitative and Qualitative Methods in Organizational Research." In The Palgrave Encyclopedia of Strategic Management. Continuously updated edition, edited by Mie Augier and David J. Teece. Palgrave Macmillan, 2017. Electronic. (Pre-published, October 2013.)
      • 18 Nov 2016
      • Conference Presentation

      Rawlsian Fairness for Machine Learning

      By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
      Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details
      Keywords: Machine Learning; Algorithms; Fairness; Decision Making; Mathematical Methods
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      Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), November 18, 2016.
      • 2016
      • Article

      Penalized Fast Subset Scanning

      By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill
      We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details
      Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods
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      Speakman, Skyler, Sriram Somanchi, Edward McFowland III, and Daniel B. Neill. "Penalized Fast Subset Scanning." Journal of Computational and Graphical Statistics 25, no. 2 (2016): 382–404. (Selected for “Best of JCGS” invited session by the journal’s editor in chief.)
      • Article

      Transition to Clean Technology

      By: Daron Acemoglu, Ufuk Akcigit, Douglas Hanley and William R. Kerr
      We develop a microeconomic model of endogenous growth where clean and dirty technologies compete in production and innovation, in the sense that research can be directed to either clean or dirty technologies. If dirty technologies are more advanced to start with, the... View Details
      Keywords: Technological Innovation; Entrepreneurship; Environmental Sustainability; Green Technology Industry
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      Acemoglu, Daron, Ufuk Akcigit, Douglas Hanley, and William R. Kerr. "Transition to Clean Technology." Special Issue on Climate Change and the Economy. Journal of Political Economy 124, no. 2 (February 2016): 52–104.
      • 2015
      • Working Paper

      Financial Patent Quality: Finance Patents After State Street

      By: Josh Lerner, Andrew Speen, Mark Baker and Ann Leamon
      In the past two decades, patents of inventions related to financial services ("finance patents"), as well as litigation around these patents, have surged. One of the repeated concerns voiced by academics and practitioners alike has been about the quality of these... View Details
      Keywords: Patents; Lawsuits and Litigation; Finance
      Citation
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      Lerner, Josh, Andrew Speen, Mark Baker, and Ann Leamon. "Financial Patent Quality: Finance Patents After State Street." Harvard Business School Working Paper, No. 16-068, December 2015.
      • 2015
      • Working Paper

      Do People Shape Cities, or Do Cities Shape People? The Co-evolution of Physical, Social, and Economic Change in Five Major U.S. Cities

      By: Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser and Cesar Hidalgo
      Urban change involves transformations in the physical appearance and the social composition of neighborhoods. Yet, the relationship between the physical and social components of urban change is not well understood due to the lack of comprehensive measures of... View Details
      Keywords: Demographics; Urban Development; Change; Economics
      Citation
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      Naik, Nikhil, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser, and Cesar Hidalgo. "Do People Shape Cities, or Do Cities Shape People? The Co-evolution of Physical, Social, and Economic Change in Five Major U.S. Cities." Working Paper.
      • September 2015
      • Article

      Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago

      By: Abel Kho, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers and et al.
      Objective
      To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical... View Details
      Keywords: Information; Customers; Safety; Rights; Ethics; Entrepreneurship; Health Care and Treatment; Health Industry; Chicago
      Citation
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      Kho, Abel, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers, and et al. "Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago." Journal of the American Medical Informatics Association 22, no. 5 (September 2015): 1072–1080.
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