Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (976) Arrow Down
Filter Results: (976) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (2,935)
    • Faculty Publications  (976)

    Show Results For

    • All HBS Web  (2,935)
      • Faculty Publications  (976)

      predictionsRemove predictions →

      ← Page 8 of 976 Results →

      Are you looking for?

      →Search All HBS Web
      • 2023
      • Working Paper

      PRIMO: Private Regression in Multiple Outcomes

      By: Seth Neel
      We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
      Keywords: Analytics and Data Science; Mathematical Methods
      Citation
      Read Now
      Related
      Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
      • 2023
      • Working Paper

      The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

      By: David S. Scharfstein and Sergey Chernenko
      We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
      Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
      Citation
      SSRN
      Read Now
      Related
      Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
      • April 2023
      • Article

      The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences

      By: Armin Falk, Anke Becker, Thomas Dohmen, David B. Huffman and Uwe Sunde
      Incentivized choice experiments are a key approach to measuring preferences in economics but are also costly. Survey measures are a low-cost alternative but can suffer from additional forms of measurement error due to their hypothetical nature. This paper seeks to... View Details
      Keywords: Survey Validation; Experiment; Preference Measurement; Surveys; Economics; Behavior; Measurement and Metrics
      Citation
      Find at Harvard
      Read Now
      Related
      Falk, Armin, Anke Becker, Thomas Dohmen, David B. Huffman, and Uwe Sunde. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences." Management Science 69, no. 4 (April 2023): 1935–1950.
      • 2023
      • Working Paper

      Organizational Responses to Product Cycles

      By: Achyuta Adhvaryu, Vittorio Bassi, Anant Nyshadham, Jorge Tamayo and Nicolas Torres
      Product cycles entail the mass production of new—and often increasingly complex—products on a regular basis. How do firms manage these changes? We use granular daily data from a leading automobile manufacturer to study the organizational impacts of introducing new... View Details
      Keywords: Training; Organizational Change and Adaptation; Knowledge Management; Production; Product; Organizational Structure; Auto Industry; Argentina
      Citation
      Read Now
      Related
      Adhvaryu, Achyuta, Vittorio Bassi, Anant Nyshadham, Jorge Tamayo, and Nicolas Torres. "Organizational Responses to Product Cycles." Harvard Business School Working Paper, No. 23-061, March 2023. (Revise & Resubmit Journal of Political Economy.)
      • March 2023
      • Supplement

      Allianz Türkiye (C): Managing the 2017 Hail Storm

      By: John D. Macomber and Fares Khrais
      Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe... View Details
      Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
      Citation
      Purchase
      Related
      Macomber, John D., and Fares Khrais. "Allianz Türkiye (C): Managing the 2017 Hail Storm." Harvard Business School Supplement 223-084, March 2023.
      • March 2023 (Revised April 2024)
      • Case

      Allianz Türkiye: Adapting to Climate Change

      By: John D. Macomber and Fares Khrais
      Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe... View Details
      Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
      Citation
      Educators
      Purchase
      Related
      Macomber, John D., and Fares Khrais. "Allianz Türkiye: Adapting to Climate Change." Harvard Business School Case 223-074, March 2023. (Revised April 2024.)
      • 2023
      • Working Paper

      Complexity and Time

      By: Benjamin Enke, Thomas Graeber and Ryan Oprea
      We provide experimental evidence that core intertemporal choice anomalies -- including extreme short-run impatience, structural estimates of present bias, hyperbolicity and transitivity violations -- are driven by complexity rather than time or risk preferences. First,... View Details
      Keywords: Decision Choices and Conditions; Motivation and Incentives
      Citation
      Find at Harvard
      Purchase
      Related
      Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Time." NBER Working Paper Series, No. 31047, March 2023.
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
      Citation
      Find at Harvard
      Read Now
      Purchase
      Related
      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
      • January–February 2023
      • Article

      Forecasting COVID-19 and Analyzing the Effect of Government Interventions

      By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
      We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
      Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
      Citation
      Read Now
      Related
      Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
      • February 2023
      • Article

      The Effect of Systems of Management Controls on Honesty in Managerial Reporting

      By: Aishwarrya Deore, Susanna Gallani and Ranjani Krishnan
      While budgetary controls with capital rationing are optimal in theory and widespread in practice, empirical research documents their association with higher employee dishonesty compared to budgetary controls without rationing. In this study, we examine whether... View Details
      Keywords: Directing Controls; Misreporting; Mission Statements; Participative Budgeting; Stewardship Theory; Systems Of Management Controls; Capital; Budgets and Budgeting; Mission and Purpose
      Citation
      Find at Harvard
      Read Now
      Related
      Deore, Aishwarrya, Susanna Gallani, and Ranjani Krishnan. "The Effect of Systems of Management Controls on Honesty in Managerial Reporting." Art. 101401. Accounting, Organizations and Society 105 (February 2023).
      • January–February 2023
      • Article

      Data-Driven COVID-19 Vaccine Development for Janssen

      By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
      The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
      Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
      Citation
      Find at Harvard
      Purchase
      Related
      Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
      • January–February 2023
      • Article

      External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures

      By: Alicia DeSantola, Ranjay Gulati and Pavel Zhelyazkov
      We explore how the initial market positioning of entrepreneurial ventures shapes how they professionalize over time, focusing specifically on the development of functional roles. In contrast to existing literature, which has presumed a uniform march toward... View Details
      Keywords: Market Positioning; Professionalization; Scaling; Entrepreneurship; Strategy; Business Startups; Growth and Development; Organizational Structure
      Citation
      Find at Harvard
      Read Now
      Related
      DeSantola, Alicia, Ranjay Gulati, and Pavel Zhelyazkov. "External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures." Organization Science 34, no. 1 (January–February 2023): 1–23.
      • 2023
      • Working Paper

      Job Design and Workers’ Wellbeing: Evidence from a Hospital Setting

      By: Susanna Gallani and Jacob Riegler
      This study examines the relationship between job design imbalance and workers’ well-being. We build on Simons (2005) framework for the design of high-performing jobs and develop a survey instrument to capture workers’ perceptions of their job design and work... View Details
      Keywords: Well-being; Job Design and Levels; Working Conditions; Perception; Work-Life Balance; Health Industry
      Citation
      Related
      Gallani, Susanna, and Jacob Riegler. "Job Design and Workers’ Wellbeing: Evidence from a Hospital Setting." Working Paper, January 2023.
      • January 2023
      • Article

      Racial Diversity and Racial Policy Preferences: The Great Migration and Civil Rights

      By: Alvaro Calderon, Vasiliki Fouka and Marco Tabellini
      Between 1940 and 1970, more than 4 million African Americans moved from the South to the North of the United States, during the Second Great Migration. This same period witnessed the struggle and eventual success of the civil rights movement in ending institutionalized... View Details
      Keywords: Civil Rights; Great Migration; History; Race; Rights; Prejudice and Bias; Government Legislation
      Citation
      Find at Harvard
      Purchase
      Related
      Calderon, Alvaro, Vasiliki Fouka, and Marco Tabellini. "Racial Diversity and Racial Policy Preferences: The Great Migration and Civil Rights." Review of Economic Studies 90, no. 1 (January 2023): 165–200. (Available also from VOX, Broadstreet, and VOX EU.)
      • December 2022
      • Case

      To Feed the Planet: Juan Luciano at ADM

      By: Joshua D. Margolis, David E. Bell, Damien McLoughlin, Stacy Straaberg and James Weber
      In December 2022, Juan Luciano, Chairman and CEO of agribusiness and nutrition giant ADM, considered the next phase of the historic company’s future. Beginning in 2011 when he joined as COO and moving into his tenure as CEO in 2015, Luciano led a transformation of ADM... View Details
      Keywords: Agriculture; Leadership; Agribusiness; Acquisition; Business Units; Customer Focus and Relationships; Customer Value and Value Chain; Forecasting and Prediction; Capital; Cash; Cost of Capital; Cost Management; Profit; Food; Global Range; Innovation Strategy; Leadership Development; Leadership Style; Leading Change; Growth and Development Strategy; Risk Management; Organizational Culture; Organizational Structure; Strategic Planning; Risk and Uncertainty; Adaptation; Business Strategy; Corporate Strategy; Vertical Integration; Value Creation; Transformation; Agriculture and Agribusiness Industry; Energy Industry; United States; Chicago
      Citation
      Educators
      Purchase
      Related
      Margolis, Joshua D., David E. Bell, Damien McLoughlin, Stacy Straaberg, and James Weber. "To Feed the Planet: Juan Luciano at ADM." Harvard Business School Case 423-060, December 2022.
      • 2022
      • Working Paper

      Institutional Emplacement and the Novel Resurgence of Independent Bookstores

      By: Ryan Raffaelli and Ryann Noe
      This study reveals how actors leverage physical place as an asset to facilitate organizational adaptation and industry evolution. Through a longitudinal, qualitative analysis of the U.S. independent bookselling industry from 1995 to 2019, we outline how dispersed... View Details
      Keywords: Industry Growth; Small Business; Organizational Change and Adaptation; Business Processes; Retail Industry; Publishing Industry; United States
      Citation
      Read Now
      Related
      Raffaelli, Ryan, and Ryann Noe. "Institutional Emplacement and the Novel Resurgence of Independent Bookstores." Harvard Business School Working Paper, No. 23-033, December 2022.
      • 2023
      • Working Paper

      Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

      By: Daniel Yue, Paul Hamilton and Iavor Bojinov
      Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
      Keywords: Analytics and Data Science
      Citation
      SSRN
      Read Now
      Related
      Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
      • December 2022
      • Article

      Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences

      By: Leigh Plunkett Tost, Ashley E. Hardin and Francesca Gino
      We examine whether narratives about, and the psychological consequences of, perceived gender discrimination differ between women and men. We argue that women and men have different dominant narratives about the reasons why people discriminate against people of their... View Details
      Keywords: Gender Discrimination; Organizations; Prejudice and Bias; Gender; Perception
      Citation
      Find at Harvard
      Purchase
      Related
      Tost, Leigh Plunkett, Ashley E. Hardin, and Francesca Gino. "Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences." Academy of Management Journal 65, no. 6 (December 2022): 1804–1834.
      • 2022
      • Article

      Efficiently Training Low-Curvature Neural Networks

      By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
      Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
      Keywords: AI and Machine Learning
      Citation
      Read Now
      Related
      Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
      • 2022
      • Article

      Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations

      By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
      A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
      Keywords: Mathematical Methods; Decision Choices and Conditions; Analytics and Data Science
      Citation
      Read Now
      Related
      Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
      • ←
      • 8
      • 9
      • …
      • 48
      • 49
      • →

      Are you looking for?

      →Search All HBS Web
      ǁ
      Campus Map
      Harvard Business School
      Soldiers Field
      Boston, MA 02163
      →Map & Directions
      →More Contact Information
      • Make a Gift
      • Site Map
      • Jobs
      • Harvard University
      • Trademarks
      • Policies
      • Accessibility
      • Digital Accessibility
      Copyright © President & Fellows of Harvard College.