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    • Faculty Publications  (91)

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    • All HBS Web  (2,765)
      • Faculty Publications  (91)

      Qualitative Methods (general) Remove Qualitative Methods (general) →

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      Quantitative and Qualitative Methods in Organizational Research
      Task Segregation as a Mechanism for Within-Job Inequality: Women and Men of the Transportation Security Administration
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      • November 2020
      • Article

      Taxation in Matching Markets

      By: Arnaud Dupuy, Alfred Galichon, Sonia Jaffe and Scott Duke Kominers
      We analyze the effects of taxation in two-sided matching markets, i.e., markets in which all agents have heterogeneous preferences over potential partners. In matching markets, taxes can generate inefficiency on the allocative margin by changing who is matched to whom,...  View Details
      Keywords: Matching Markets; Labor Markets; Taxation; Labor; Markets
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      Dupuy, Arnaud, Alfred Galichon, Sonia Jaffe, and Scott Duke Kominers. "Taxation in Matching Markets." International Economic Review 61, no. 4 (November 2020): 1591–1634.
      • 2020
      • Working Paper

      Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models

      By: Fiammetta Menchetti and Iavor Bojinov
      Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless...  View Details
      Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
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      Menchetti, Fiammetta, and Iavor Bojinov. "Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models." Harvard Business School Working Paper, No. 21-048, October 2020.
      • August 2020
      • Article

      Volunteering and Subsequent Health and Well-Being in Older Adults: An Outcome-Wide Longitudinal Approach

      By: Eric Kim, A.V. Whillans, Matt Lee, Ying Chen and Tyler VanderWeele
      Background: Growing evidence documents strong associations between volunteering and favorable health and well-being outcomes. However, epidemiological studies have not evaluated whether changes in volunteering are associated with subsequent health and well-being...  View Details
      Keywords: Volunteering; Prosocial Behavior; Well-being; Behavior; Health; Welfare
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      Kim, Eric, A.V. Whillans, Matt Lee, Ying Chen, and Tyler VanderWeele. "Volunteering and Subsequent Health and Well-Being in Older Adults: An Outcome-Wide Longitudinal Approach." American Journal of Preventive Medicine 59, no. 2 (August 2020): 176–186.
      • 2020
      • Working Paper

      Iterative Coordination and Innovation

      By: Sourobh Ghosh and Andy Wu
      Agile management practices from the software industry continue to transform the way organizations innovate across industries, yet they remain understudied in the organizations literature. We investigate the widespread Agile practice of iterative coordination: frequent...  View Details
      Keywords: Innovation; Goals; Specialization; Coordination; Field Experiment; Software Development; Organizations; Collaborative Innovation and Invention; Goals and Objectives; Integration; Software
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      Ghosh, Sourobh, and Andy Wu. "Iterative Coordination and Innovation." Harvard Business School Working Paper, No. 20-121, January 2020.
      • 2020
      • Working Paper

      Anchors Aweigh: Analysis of Anchor Limited Partner Investors in Impact Investment Funds

      By: Shawn A. Cole, Rob T. Zochowski, Fanele Mashwama and Heather McPherson
      This note describes results from a survey of “anchor investors” in impact funds. Anchor investors are described as “generally the first investor to make a substantial capital commitment to a fund,” (according to the Global Impact Investing Network, “GIIN”) and their...  View Details
      Keywords: Impact Investment Funds; Anchor Investors; Investment; Surveys; Analysis
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      Cole, Shawn A., Rob T. Zochowski, Fanele Mashwama, and Heather McPherson. "Anchors Aweigh: Analysis of Anchor Limited Partner Investors in Impact Investment Funds." Working Paper, May 2020.
      • April 2020
      • Technical Note

      Quantitative Analysis in Marketing

      By: Sunil Gupta
      Marketing is a combination of art and science that requires both qualitative and quantitative analysis to arrive at effective decisions. This note highlights how quantitative analysis can help in the following marketing decisions: estimating market size, determining...  View Details
      Keywords: Quantitative Analysis; Marketing; Decision Making; Analysis
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      Gupta, Sunil. "Quantitative Analysis in Marketing." Harvard Business School Technical Note 520-091, April 2020.
      • 2019
      • Working Paper

      Industrial Change, the Boundary of the Firm, and Racial Employment Segregation

      By: John-Paul Ferguson and Rembrand Koning
      Racial employment segregation between large workplaces in America has grown over the last generation. We know little about how changes in patterns of employment by economic sector have contributed to this growth, though. While there are many stylized narratives about...  View Details
      Keywords: Workplace Segregation; Firm Boundaries; Organizations; Employees; Segmentation; Race; Change; United States
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      Ferguson, John-Paul, and Rembrand Koning. "Industrial Change, the Boundary of the Firm, and Racial Employment Segregation." Harvard Business School Working Paper, No. 20-069, December 2019.
      • 2020
      • Working Paper

      Recovering Investor Expectations from Demand for Index Funds

      By: Mark Egan, Alexander J. MacKay and Hanbin Yang
      We use a revealed-preference approach to estimate investor expectations of stock market returns. Using data on demand for index funds that follow the S&P 500, we develop and estimate a model of investor choice to flexibly recover the time-varying distribution of...  View Details
      Keywords: Stock Market Expectations; Demand Estimation; Exchange-traded Funds (etfs); Demand and Consumers; Investment; United States
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      Egan, Mark, Alexander J. MacKay, and Hanbin Yang. "Recovering Investor Expectations from Demand for Index Funds." NBER Working Paper Series, No. 26608, January 2020. (Revise and Resubmit at the Review of Economic Studies. Harvard Business School Working Paper, No. 20-122, May 2020. Direct download. Revised August 2020.)
      • 2019
      • Article

      Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading

      By: Iavor I Bojinov and Neil Shephard
      We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal...  View Details
      Keywords: Causality; Nonparametric; Potential Outcomes; Trading Costs; Mathematical Methods
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      Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682.
      • 2019
      • Working Paper

      Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 16 Capturing Value by Controlling Bottlenecks in Open Platform Systems

      By: Carliss Y. Baldwin
      The purpose of this chapter is to investigate the means by which firms capture value in open platform systems. I begin by arguing that the surplus value created by complementarities within a technical system will be split among the owners of the unique and essential...  View Details
      Keywords: Open Platforms; Bottlenecks; Flow Production; Value Capture; Disintermediation; Production; Management
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      Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 16 Capturing Value by Controlling Bottlenecks in Open Platform Systems." Harvard Business School Working Paper, No. 20-054, November 2019.
      • Article

      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: Ceos; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; 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." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
      • 2019
      • Working Paper

      Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

      By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
      This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British...  View Details
      Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; India
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      Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Harvard Business School Working Paper, No. 20-038, September 2019.
      • 2020
      • Working Paper

      Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

      By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
      We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years....  View Details
      Keywords: Government Administration; Working Conditions; Safety; Quality; Production; Analysis; Resource Allocation; Manufacturing Industry; United States
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      Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." Harvard Business School Working Paper, No. 20-019, August 2019. (Revised February 2020.)
      • 2019
      • Working Paper

      The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work

      By: Hila Lifshitz - Assaf and Frank Nagle
      Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as...  View Details
      Keywords: Open Source; Future Of Work; Software Development; Knowledge Work; Online Community; Learning; Knowledge Sharing; Software; Open Source Distribution; Performance Productivity
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      Lifshitz - Assaf, Hila, and Frank Nagle. "The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work." Working Paper, April 2019.
      • August 2019
      • Article

      When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

      By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
      Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,...  View Details
      Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
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      Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
      • June–July 2019
      • Article

      A Methodology for Operationalizing Enterprise IT Architecture and Evaluating its Modifiability

      By: Robert Lagerström, Alan MacCormack, David Dreyfus and Carliss Y. Baldwin
      Recent contributions to information systems theory suggest that the primary role of a firm’s information technology (IT) architecture is to facilitate, and therefore ensure the continued alignment of a firm’s IT investments with a constantly changing business...  View Details
      Keywords: Enterprise Architecture; Modularity; Information Systems; Modifiability; Design Structure Matrix
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      Lagerström, Robert, Alan MacCormack, David Dreyfus, and Carliss Y. Baldwin. "A Methodology for Operationalizing Enterprise IT Architecture and Evaluating its Modifiability." Complex Systems Informatics and Modeling Quarterly 19 (June–July 2019): 75–98.
      • June 2019
      • Article

      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 expert center on cultivating an analytic mindset. In the present research the authors explore...  View Details
      Keywords: Learning; Experience and Expertise; Analysis; Perception
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      Latour, Kathryn A., and John A. Deighton. "Learning to Become a Taste Expert." Journal of Consumer Research 46, no. 1 (June 2019): 1–19.
      • April 2019 (Revised June 2019)
      • Case

      Wayfair

      By: Jeffrey F. Rayport, Susie L. Ma and Matthew G. Preble
      In 2016 Niraj Shah and Steve Conine, founders of online home goods retailer Wayfair, are faced with a decision about how to improve user experience on their e-commerce sites. A key driver of consumer interest and conversion to purchase in the home category is visual...  View Details
      Keywords: Visual Assets; Corporate Entrepreneurship; Decision Making; Business or Company Management; Growth Management; Innovation and Invention; Operations; Strategy; Technology; Retail Industry; Service Industry; United States; Massachusetts
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      Rayport, Jeffrey F., Susie L. Ma, and Matthew G. Preble. "Wayfair." Harvard Business School Case 819-045, April 2019. (Revised June 2019.)
      • 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.)
      • 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: Social Media; Machine Learning; Information; Sales; Forecasting and Prediction
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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.
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      Quantitative and Qualitative Methods in Organizational Research
      Task Segregation as a Mechanism for Within-Job Inequality: Women and Men of the Transportation Security Administration
      → Search All HBS Web
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