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 : (111) Arrow Down
Filter Results : (111) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (516)
    • Faculty Publications  (111)

    Show Results For

    • All HBS Web  (516)
      • Faculty Publications  (111)

      Validation Remove Validation →

      Page 1 of 111 Results →

      Are you looking for?

      → Search All HBS Web
      • June 2022
      • Teaching Note

      Bespoken Spirits: Disrupting Distilling

      By: Benjamin C. Esty and Daniel Fisher
      Teaching Note for HBS Case No. 721-419. On October 7, 2020, Bespoken Spirits publicly announced it had received $2.6 million of seed funding for its “sustainable maturation process,” a process that could produce award-winning whiskeys in just days rather than years...  View Details
      Keywords: B2B Vs. B2C; Technological Innovation; Business Startups; Cost Management; Business Model; Consumer Products Industry; Food and Beverage Industry; Service Industry
      Citation
      Purchase
      Related
      Esty, Benjamin C., and Daniel Fisher. "Bespoken Spirits: Disrupting Distilling." Harvard Business School Teaching Note 722-457, June 2022.
      • May 2022
      • Article

      Embracing Field Studies as a Tool for Learning

      By: Jon M. Jachimowicz
      Field studies in social psychology tend to focus on validating existing insights. In addition to learning from the laboratory and bringing those insights to the field—which researchers currently favour—we should also conduct field studies that aim to learn in the field...  View Details
      Keywords: Field Studies; Social Psychology; Learning
      Citation
      Find at Harvard
      Read Now
      Related
      Jachimowicz, Jon M. "Embracing Field Studies as a Tool for Learning." Nature Reviews Psychology 1, no. 5 (May 2022): 249–250.
      • 2022
      • Article

      Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.

      By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
      As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a...  View Details
      Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
      Citation
      Read Now
      Related
      Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • Article

      Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

      By: Eva Ascarza and Ayelet Israeli

      An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”...  View Details

      Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
      Citation
      Read Now
      Related
      Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
      • 2022
      • Working Paper

      When the Journey—Not Only the Destination—Matters: Internationalization Shaping Entrepreneurial Experimentation

      By: Nataliya Langburd Wright and Laura Huang
      Internationalization—gaining exposure to cross-border markets—often results in the aftermath of an entrepreneurial venture’s initial success. Ventures develop strong products or services, and they rely on international markets to help them continue growing and scaling...  View Details
      Keywords: Entrepreneurship And Strategy; Entrepreneurial Ventures; Entrepreneurial Journey; International Entrepreneurship; Entrepreneurship; Business Startups; Global Range; Strategy
      Citation
      Related
      Wright, Nataliya Langburd, and Laura Huang. "When the Journey—Not Only the Destination—Matters: Internationalization Shaping Entrepreneurial Experimentation." Working Paper, February 2022.
      • 2022
      • Working Paper

      Understanding Rural Households' Time Use in a Developing Setting: Validating a Low-Cost Time Use Module

      By: Erica M Field, Rohini Pande, Natalia Rigol, Simone G. Schaner, Elena M. Stacy and Charity M. Troyer Moore
      Time use data facilitate deeper understanding of individual labor supply choices, especially for women, who are more likely to engage in unpaid care and home production. However, traditional time use data collection methods are time-consuming, expensive and susceptible...  View Details
      Keywords: Time Use; Household; Rural Scope; Developing Countries and Economies; Time Management; Analytics and Data Science; Surveys
      Citation
      Read Now
      Related
      Field, Erica M., Rohini Pande, Natalia Rigol, Simone G. Schaner, Elena M. Stacy, and Charity M. Troyer Moore. "Understanding Rural Households' Time Use in a Developing Setting: Validating a Low-Cost Time Use Module." NBER Working Paper Series, No. 29671, January 2022.
      • Article

      Adaptive Machine Unlearning

      By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
      Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees...  View Details
      Keywords: Machine Learning; AI and Machine Learning
      Citation
      Read Now
      Related
      Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • October 15, 2021
      • Article

      Virtuous Victims

      By: Jillian J. Jordan and Maryam Kouchaki
      How do people perceive the moral character of victims? We find, across a range of transgressions, that people frequently see victims of wrongdoing as more moral than non-victims who have behaved identically. Across 15 experiments (total n = 9,355), we document this...  View Details
      Keywords: Moral Judgment; Restorative Justice; Punishment; Compensation; Person Perception; Moral Sensibility; Judgments; Perception
      Citation
      Read Now
      Related
      Jordan, Jillian J., and Maryam Kouchaki. "Virtuous Victims." Science Advances 7, no. 42 (October 15, 2021).
      • October 2021
      • Article

      Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

      By: Nicolas Padilla and Eva Ascarza
      The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...  View Details
      Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
      Citation
      Find at Harvard
      Related
      Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
      • September 2021
      • Article

      Joint Problem-solving Orientation in Fluid Cross-boundary Teams

      By: Michaela J. Kerrissey, Anna T. Mayo and Amy C. Edmondson
      Using interviews, a national field survey, and an online laboratory study, we have examined teamwork in fluid cross-boundary teams. Across three studies, we qualitatively discovered and quantitatively explored "joint problem-solving orientation" as a new team factor....  View Details
      Keywords: Problem Solving; Cross-boundary Teams; Groups and Teams; Problems and Challenges; Performance
      Citation
      Find at Harvard
      Related
      Kerrissey, Michaela J., Anna T. Mayo, and Amy C. Edmondson. "Joint Problem-solving Orientation in Fluid Cross-boundary Teams." Academy of Management Discoveries 7, no. 3 (September 2021): 381–405.
      • August 2021
      • Article

      Anger Damns the Innocent

      By: Katherine DeCelles, Gabrielle Adams, Holly S. Howe and Leslie K. John
      False accusations of wrongdoing are common and can have grave consequences. In six studies, we document a worrisome paradox in perceivers’ subjective judgments of a suspect’s guilt. Specifically, we find that laypeople (online panelists; N = 4,983) use suspects’ angry...  View Details
      Keywords: Morality; Accusations; Deception; Guilt; Affect; Emotions; Behavior; Perception; Judgments; Decision Making
      Citation
      Find at Harvard
      Read Now
      Related
      DeCelles, Katherine, Gabrielle Adams, Holly S. Howe, and Leslie K. John. "Anger Damns the Innocent." Psychological Science 32, no. 8 (August 2021): 1214–1226.
      • August 2021
      • Article

      Multiple Imputation Using Gaussian Copulas

      By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
      Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use...  View Details
      Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
      Citation
      Find at Harvard
      Read Now
      Related
      Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
      • August 2021
      • Article

      Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates

      By: Samuel G. Hanson, David O. Lucca and Jonathan H. Wright
      Long-term nominal interest rates are surprisingly sensitive to high-frequency (daily or monthly) movements in short-term rates. Since 2000, this high-frequency sensitivity has grown even stronger in U.S. data. By contrast, the association between low-frequency changes...  View Details
      Keywords: Conundrum; Investor Demand; Monetary Policy Transmission; Interest Rates
      Citation
      Find at Harvard
      Read Now
      Related
      Hanson, Samuel G., David O. Lucca, and Jonathan H. Wright. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates." Quarterly Journal of Economics 136, no. 3 (August 2021): 1719–1781.
      • Article

      Tabulated Nonsense? Testing the Validity of the Ethnographic Atlas

      By: Duman Bahrami-Rad, Anke Becker and Joseph Henrich
      The Ethnographic Atlas (Murdock, 1967), an anthropological database, is widely used across the social sciences. The Atlas is a quantified and discretely categorized collection of information gleaned from ethnographies covering more than 1200...  View Details
      Keywords: Ethnographic Atlas; Validation; Culture; Economic Anthropology
      Citation
      Read Now
      Related
      Bahrami-Rad, Duman, Anke Becker, and Joseph Henrich. "Tabulated Nonsense? Testing the Validity of the Ethnographic Atlas." Art. 109880. Economics Letters 204 (July 2021).
      • Article

      Towards the Unification and Robustness of Perturbation and Gradient Based Explanations

      By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
      As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two...  View Details
      Keywords: Machine Learning; Black Box Explanations; Decision Making; Forecasting and Prediction; Information Technology
      Citation
      Read Now
      Related
      Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
      • Article

      Measuring Audit Quality

      By: Shivaram Rajgopal, Suraj Srinivasan and Xin Zheng
      In this paper, we document 45 specific allegations related to audit deficiencies based on GAAS, as detailed in 141 AAERs and 153 securities class action lawsuits over the violation years 1978–2016. Next, we use these allegations to validate existing popular proxies of...  View Details
      Keywords: Audit Quality; Audit Deficiency; AAER; Securities Class Action Lawsuits; Enforcement; Accounting Audits; Quality; Measurement and Metrics
      Citation
      SSRN
      Find at Harvard
      Related
      Rajgopal, Shivaram, Suraj Srinivasan, and Xin Zheng. "Measuring Audit Quality." Review of Accounting Studies 26, no. 2 (June 2021): 559–619.
      • May 2021
      • Article

      Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency

      By: J. Hart, K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels and S.D. Halpern
      Background: Clinicians’ use of choice architecture, or how they present options, systematically influences the choices made by patients and their surrogate decision makers. However, clinicians may incompletely understand this influence....  View Details
      Keywords: Choice Architecture; Health Care and Treatment; Interpersonal Communication; Decision Choices and Conditions; Competency and Skills
      Citation
      Find at Harvard
      Related
      Hart, J., K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels, and S.D. Halpern. "Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency." BMJ Quality & Safety 30, no. 5 (May 2021).
      • May–June 2021
      • Article

      Why Start-ups Fail

      By: Thomas R. Eisenmann
      If you’re launching a business, the odds are against you: Two-thirds of start-ups never show a positive return. Unnerved by that statistic, a professor of entrepreneurship at Harvard Business School set out to discover why. Based on interviews and surveys with hundreds...  View Details
      Keywords: Entrepreneurship; Business Startups; Problems and Challenges; Failure
      Citation
      Find at Harvard
      Related
      Eisenmann, Thomas R. "Why Start-ups Fail." Harvard Business Review 99, no. 3 (May–June 2021): 76–85.
      • 2021
      • Working Paper

      Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling

      By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
      This study jointly examines agents’ time dependence—period effects within instantaneous utility—and time preference—behavior on discounting future utility. The study considers the start- and end-of-period effects for time dependence and exponential and hyperbolic...  View Details
      Keywords: Time Preferences; Present Bias; Hyperbolic Discounting; Compensation; Dynamic Structural Models; Identification; Time Management; Motivation and Incentives; Behavior; Performance; Compensation and Benefits
      Citation
      SSRN
      Read Now
      Related
      Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling." Harvard Business School Working Paper, No. 21-121, April 2021.
      • February 2021 (Revised March 2022)
      • Case

      TikTok in 2020: Super App or Supernova?

      By: Jeffrey F. Rayport, Dan Maher and Dan O'Brien
      TikTok’s parent company, ByteDance, was launched in 2012 around a simple idea – helping users entertain themselves on their smartphones while on the Beijing Subway. In less than a decade, it had become one of the world’s most valuable private companies, with investors...  View Details
      Keywords: Business Model; Business Startups; Business Organization; Change Management; Disruption; Cross-Cultural and Cross-Border Issues; Global Strategy; Health Pandemics; Innovation Strategy; Growth and Development Strategy; Growth Management; Brands and Branding; Marketing Strategy; Marketing Channels; Network Effects; Digital Platforms; Product Design; Product Development; Partners and Partnerships; Opportunities; Social Issues; Mobile and Wireless Technology; Internet and the Web; Value Creation; United States; China
      Citation
      Educators
      Purchase
      Related
      Rayport, Jeffrey F., Dan Maher, and Dan O'Brien. "TikTok in 2020: Super App or Supernova?" Harvard Business School Case 821-087, February 2021. (Revised March 2022.)
      • 1
      • 2
      • …
      • 5
      • 6
      • →

      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