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Publications

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    • All HBS Web  (594)
      • Faculty Publications  (126)

      Empirical OperationsRemove Empirical Operations →

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      • Article

      Value of New Performance Information in Healthcare: Evidence from Japan

      By: Susanna Gallani, Takehisa Kajiwara and Ranjani Krishnan
      Mandatory measurement and disclosure of outcome measures are commonly used policy tools in healthcare. The effectiveness of such disclosures relies on the extent to which the new information produced by the mandatory system is internalized by the healthcare... View Details
      Keywords: Value Of Information; Feedback; Patient Satisfaction; Healthcare; Health Care and Treatment; Satisfaction; Information; Measurement and Metrics; Performance Improvement
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      Gallani, Susanna, Takehisa Kajiwara, and Ranjani Krishnan. "Value of New Performance Information in Healthcare: Evidence from Japan." International Journal of Health Economics and Management 20, no. 4 (December 2020): 319–357.
      • 2022
      • Working Paper

      The Stock Market Value of Human Capital Creation

      By: Matthias Regier and Ethan Rouen
      We develop a measure of firm-year-specific human capital investment from publicly disclosed personnel expenses (PE) and examine the stock market valuation of this investment. Measuring the future value of PE (PEFV) based on the relation between lagged... View Details
      Keywords: Intangibles; Market Valuation; Human Capital; Stocks; Financial Markets; Valuation
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      Regier, Matthias, and Ethan Rouen. "The Stock Market Value of Human Capital Creation." Harvard Business School Working Paper, No. 21-047, October 2020. (Revised March 2022.)
      • Article

      Oracle Efficient Private Non-Convex Optimization

      By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
      One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
      Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods
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      Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
      • 2020
      • Chapter

      Foreign Direct Investment, Finance and Economic Development

      By: Laura Alfaro and Jasmina Chauvin
      Research has sought to understand how foreign direct investment affects host economies. This paper reviews the empirical literature, specifically addressing the question: How does FDI affect economic development of host countries and what is the role of local financial... View Details
      Keywords: Foreign Direct Investment; Developing Countries and Economies; Financial Condition; Development Economics
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      Alfaro, Laura, and Jasmina Chauvin. "Foreign Direct Investment, Finance and Economic Development." In Encyclopedia of International Economics and Global Trade, Vol. 1: Foreign Direct Investment and the Multinational Enterprise, edited by Mariana Spatareanu, 231–258. World Scientific, 2020.
      • Article

      The Price of Anarchy of Self-Selection in Tullock Contests

      By: Hau Chan, David C. Parkes and Karim R. Lakhani
      Crowdsourcing platforms operate by offering their clients the ability to obtain cost-effective solutions for their problems through contests. The top contestants with the best solutions are rewarded, and the submitted solutions are provided to the clients. Within the... View Details
      Keywords: Crowdsourcing Contests; Game Theory
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      Chan, Hau, David C. Parkes, and Karim R. Lakhani. "The Price of Anarchy of Self-Selection in Tullock Contests." Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 19th (2020): 1795–1797.
      • April 2020
      • Article

      Long-term Firm Growth: An Empirical Analysis of U.S. Manufacturers 1959–2015

      By: Giovanni Dosi, Marco Grazzi, Daniele Moschella, Gary P. Pisano and Federico Tamagni
      Firm growth is an essential feature of market economies, shaping together macroeconomic performance and the evolution of industry structures. As a potential indicator of organizational “fitness” within a competitive environment, firm growth is also a central concern to... View Details
      Keywords: Firm Growth; Organizations; Growth and Development; Theory; Analysis; Production; Data and Data Sets
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      Dosi, Giovanni, Marco Grazzi, Daniele Moschella, Gary P. Pisano, and Federico Tamagni. "Long-term Firm Growth: An Empirical Analysis of U.S. Manufacturers 1959–2015." Industrial and Corporate Change 29, no. 2 (April 2020): 309–332.
      • March 2020
      • Article

      Organizing Knowledge Production Teams Within Firms for Innovation

      By: Vikas A. Aggarwal, David H. Hsu and Andy Wu
      How should firms organize their pool of inventive human capital for firm-level innovation? While access to diverse knowledge may aid knowledge recombination, which can facilitate innovation, prior literature has focused primarily on one way of achieving that: diversity... View Details
      Keywords: Knowledge Recombination; Organization Design; Team Boundary; Innovation; Knowledge Sharing; Diversity; Innovation and Invention; Groups and Teams; Human Capital; Organizational Design
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      Aggarwal, Vikas A., David H. Hsu, and Andy Wu. "Organizing Knowledge Production Teams Within Firms for Innovation." Art. 1. Strategy Science 5, no. 1 (March 2020): 1–16. (Lead article.)
      • 2020
      • Article

      Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data

      By: Maryam Ghasemaghaei and Goran Calic
      In this study, we explore the impacts of big data’s main characteristics (i.e., volume, variety, and velocity) on innovation performance (i.e., innovation efficacy and efficiency), which eventually impacts firm performance (i.e., customer perspective, financial... View Details
      Keywords: Big Data; Analytics and Data Science; Performance; Innovation and Invention
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      Ghasemaghaei, Maryam, and Goran Calic. "Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data." Journal of Business Research 108 (2020): 147–162.
      • December 2019
      • Article

      Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility

      By: Alfred Galichon, Scott Duke Kominers and Simon Weber
      We introduce an empirical framework for models of matching with imperfectly transferable utility and unobserved heterogeneity in tastes. Our framework allows us to characterize matching equilibrium in a flexible way that includes as special cases the classic fully- and... View Details
      Keywords: Sorting; Matching; Marriage Market; Intrahousehold Allocation; Imperfectly Transferable Utility; Marketplace Matching; Mathematical Methods
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      Galichon, Alfred, Scott Duke Kominers, and Simon Weber. "Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility." Journal of Political Economy 127, no. 6 (December 2019): 2875–2925.
      • 2019
      • Working Paper

      The Impact of the General Data Protection Regulation on Internet Interconnection

      By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
      The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on... View Details
      Keywords: Personal Data; Privacy Regulation; GDPR; Interconnection Agreements; Internet and the Web; Governing Rules, Regulations, and Reforms; European Union
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      Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." NBER Working Paper Series, No. 26481, November 2019.
      • October 2019 (Revised April 2020)
      • Background Note

      Note on Funding Deep Tech Startups

      By: Karim Lakhani, Peter Barrett and Noubar Afeyan
      This Background Note provides essential information on funding deep technologies—those technologies that were inherently capital intensive, time consuming, risky, and potentially disruptive. Both dilutive and non-dilutive sources of investment are highlighted, along... View Details
      Keywords: Entrepreneurship; Energy; Venture Capital; Corporate Finance; Initial Public Offering; Investment; Health Testing and Trials; Innovation and Invention; Technological Innovation; Intellectual Property; Product Design; Product Development; Information Technology; Research and Development; Risk and Uncertainty; Technology Industry; Biotechnology Industry; United States; North America; Europe; Asia
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      Lakhani, Karim, Peter Barrett, and Noubar Afeyan. "Note on Funding Deep Tech Startups." Harvard Business School Background Note 620-029, October 2019. (Revised April 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; Applications and 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.
      • July–August 2019
      • Article

      Coupling Labor Codes of Conduct and Supplier Labor Practices: The Role of Internal Structural Conditions

      By: Yanhua Bird, Jodi L. Short and Michael W. Toffel
      Exploitive working conditions have spurred companies to pressure their suppliers to adopt labor codes of conduct and to conform their labor practices to the standards set forth in those codes. Yet little is known about whether organizational structures such as codes... View Details
      Keywords: Organization Theory; Economic Sociology; Social Responsibility; Sustainability; Auditing; Process Improvement; Organizational Structure; Corporate Social Responsibility and Impact; Supply Chain; Labor; Working Conditions
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      Bird, Yanhua, Jodi L. Short, and Michael W. Toffel. "Coupling Labor Codes of Conduct and Supplier Labor Practices: The Role of Internal Structural Conditions." Organization Science 30, no. 4 (July–August 2019): 847–867. (Best Paper Award at ComplianceNet Conference 2019, 2020 Responsible Research in Management Award Finalist.)
      • 2019
      • Working Paper

      The Effect of Payment Choices on Online Retail: Evidence from the 2016 Indian Demonetization

      By: Chaithanya Bandi, Antonio Moreno, Donald Ngwe and Zhiji Xu
      The Indian banknote demonetization in 2016 was one of the most significant international events of that year. Overnight, 86% of Indian currency in circulation was declared invalid unless exchanged for new bills. The sudden and unexpected demonetization constituted a... View Details
      Keywords: Cash On Delivery; Online Retail; Product Returns; Payment Methods; Digitization; Emerging Markets; Currency; Internet and the Web; Demand and Consumers; Retail Industry; India
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      Bandi, Chaithanya, Antonio Moreno, Donald Ngwe, and Zhiji Xu. "The Effect of Payment Choices on Online Retail: Evidence from the 2016 Indian Demonetization." Harvard Business School Working Paper, No. 19-123, June 2019.
      • 2018
      • Chapter

      Behavioral Household Finance

      By: John Beshears, James J. Choi, David Laibson and Brigitte C. Madrian
      This chapter provides an overview of household finance. The first part summarizes key facts regarding household financial behavior, emphasizing empirical regularities that are inconsistent with the standard classical economic model and discussing extensions of the... View Details
      Keywords: Personal Finance; Global Range; Household; Behavior; Strategy; Governing Rules, Regulations, and Reforms; Product Design; Welfare
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      Beshears, John, James J. Choi, David Laibson, and Brigitte C. Madrian. "Behavioral Household Finance." In Handbook of Behavioral Economics: Foundations and Applications 1, edited by B. Douglas Bernheim, Stefano DellaVigna, and David Laibson, 177–276. Amsterdam: Elsevier, 2018.
      • 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.
      • August 2018
      • Article

      Growth Through Heterogeneous Innovations

      By: Ufuk Akcigit and William R. Kerr
      We build a tractable growth model where multi-product incumbents invest in internal innovations to improve their existing products, while new entrants and incumbents invest in external innovations to acquire new product lines. External and internal innovations generate... View Details
      Keywords: Endogenous Growth; Innovation; Citations; Scientists; Entrepreneurs; External; Internal; Patents; Innovation Strategy; Entrepreneurship; Economic Growth; Research and Development; Science
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      Akcigit, Ufuk, and William R. Kerr. "Growth Through Heterogeneous Innovations." Journal of Political Economy 126, no. 4 (August 2018): 1374–1443.
      • 2018
      • Chapter

      The Logic of Agglomeration

      By: Gilles Duranton and William R. Kerr
      This review discusses frontier topics in economic geography as they relate to firms and agglomeration economies. We focus on areas where empirical research is scarce but possible. We first outline a conceptual framework for city formation that allows us to contemplate... View Details
      Keywords: Agglomeration; Clusters; Innovation; Cities; Industry Clusters; City; Innovation and Invention
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      Duranton, Gilles, and William R. Kerr. "The Logic of Agglomeration." In The New Oxford Handbook of Economic Geography, edited by Gordon Clark, Maryann Feldman, Meric Gertler, and Dariusz Wojcik, 347–365. Oxford: Oxford University Press, 2018.
      • 2018
      • Article

      Service Operations: What Have We Learned?

      By: Liana Victorino, Joy M. Field, Ryan W. Buell, Michael J. Dixon, Susan M. Goldstein, Larry J. Menor, Madeleine E. Pullman, Aleda V. Roth, Enrico Secchi and Jie J. Zhang
      The purpose of this article is to identify research themes in service operations that have great potential for exciting and innovative conceptual and empirical work. To frame these research themes, the article provides a systematic literature review of operations... View Details
      Keywords: Service Operations; Knowledge; Research
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      Victorino, Liana, Joy M. Field, Ryan W. Buell, Michael J. Dixon, Susan M. Goldstein, Larry J. Menor, Madeleine E. Pullman, Aleda V. Roth, Enrico Secchi, and Jie J. Zhang. "Service Operations: What Have We Learned?" Journal of Service Management 29, no. 1 (2018): 39–54.
      • 2018
      • Article

      Service Operations: What's Next?

      By: Joy M. Field, Liana Victorino, Ryan W. Buell, Michael J. Dixon, Susan M. Goldstein, Larry J. Menor, Madeleine E. Pullman, Aleda Roth, Enrico Secchi and Jie J. Zhang
      The purpose of this article is to present exciting and innovative research questions in service operations that are aligned with eight key themes and related topics determined by the Journal of Service Management (JOSM) Service Operations Expert Research Panel.... View Details
      Keywords: Service Operations; Research; Collaborative Innovation and Invention
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      Field, Joy M., Liana Victorino, Ryan W. Buell, Michael J. Dixon, Susan M. Goldstein, Larry J. Menor, Madeleine E. Pullman, Aleda Roth, Enrico Secchi, and Jie J. Zhang. "Service Operations: What's Next?" Journal of Service Management 29, no. 1 (2018): 55–97.
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