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Publications

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  • All HBS Web  (700)
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    • News  (80)
    • Research  (507)
    • Events  (10)
    • Multimedia  (8)
  • Faculty Publications  (374)

Show Results For

  • All HBS Web  (700)
    • People  (2)
    • News  (80)
    • Research  (507)
    • Events  (10)
    • Multimedia  (8)
  • Faculty Publications  (374)
← Page 17 of 700 Results →
  • 2020
  • Working Paper

(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial

By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker
While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between... View Details
Keywords: Behavioral Economics; Coronavirus; Discrimination; Homophily; Labor Market Mobility; Limited Attention; Resumes; Personal Characteristics; Prejudice and Bias
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Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Subhradip Sarker. "(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial." Harvard Business School Working Paper, No. 21-038, September 2020.
  • 1994
  • Article

Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism

By: Kevin J. Bozic, J H Keyak, H B Skinner, H U Bueff and David Bradford
Finite element modeling was used to study the mechanical behavior of a cervical vertebra under axial compressive loading. A three-dimensional (3-D) finite element (FE) model of a mid-cervical vertebra using inhomogeneous material properties was generated from... View Details
Keywords: Performance Expectations; Strength and Weakness; Health; Mathematical Methods; Health Industry
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Bozic, Kevin J., J H Keyak, H B Skinner, H U Bueff, and David Bradford. "Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism." Journal of Spinal Disorders & Techniques 7, no. 2 (1994): 102–110.
  • December 2021
  • Article

Seeing Oneself as a Valued Contributor: Social Worth Affirmation Improves Team Information Sharing

By: Julia Lee Cunningham, Francesca Gino, Dan Cable and Bradley Staats
Teams often fail to reach their potential because members’ concerns about being socially accepted prevent them from offering their unique perspectives to the team. Drawing on relational self and self-affirmation theory, we argue that affirmation of team members’ social... View Details
Keywords: Social Worth Affirmation; Relational Identity; Self-affirmation; Information Sharing In Teams; Concerns About Social Acceptance; Groups and Teams; Identity; Relationships; Knowledge Sharing
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Cunningham, Julia Lee, Francesca Gino, Dan Cable, and Bradley Staats. "Seeing Oneself as a Valued Contributor: Social Worth Affirmation Improves Team Information Sharing." Academy of Management Journal 64, no. 6 (December 2021): 1816–1841.
  • 2018
  • Working Paper

Ratcheting, Competition, and the Diffusion of Technological Change: The Case of Televisions Under an Energy Efficiency Program

By: Tomomichi Amano and Hiroshi Ohashi
In differentiated goods markets with societal implications, quality standards are commonly implemented to avoid the under-provision of innovation. Firms have clear incentives to engage in strategic behavior because policymakers use market outcomes as a benchmark in... View Details
Keywords: Product Differentiation; Energy Efficiency Standards; Ratcheting; Diffusion Of Innovation; Technological Innovation; Competition; Quality; Governing Rules, Regulations, and Reforms; Policy
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Amano, Tomomichi, and Hiroshi Ohashi. "Ratcheting, Competition, and the Diffusion of Technological Change: The Case of Televisions Under an Energy Efficiency Program." Harvard Business School Working Paper, No. 19-021, September 2018.

    Regina E. Herzlinger

    Regina E. Herzlinger is the Nancy R. McPherson Professor of Business Administration at the Harvard Business School. She was the first woman to be tenured and chaired at Harvard Business School and serve on many established and start-up corporate health care/medical... View Details

    Keywords: health care; insurance industry; medical devices; retailing; digital health
    • 28 Oct 2011
    • Working Paper Summaries

    Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation

    Keywords: by Dimitris Bertsimas, Vivek F. Farias & Nikolaos Trichakis; Health
    • July–August 2024
    • Article

    Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

    By: Ta-Wei Huang and Eva Ascarza
    Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details
    Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
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    Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
    • March 2022
    • Article

    Estimating the Effectiveness of Permanent Price Reductions for Competing Products 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 the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
    • Article

    Total Cost Control in Project Management via Satisficing

    By: Joel Goh and Nicholas G. Hall
    We consider projects with uncertain activity times and the possibility of expediting, or crashing, them. Activity times come from a partially specified distribution within a family of distributions. This family is described by one or more of the following details about... View Details
    Keywords: Project Management; Time And Cost Control; Robust Optimization; Satisficing; Linear Decision Rule; PERT; Management; Cost Management; Projects
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    Goh, Joel, and Nicholas G. Hall. "Total Cost Control in Project Management via Satisficing." Management Science 59, no. 6 (June 2013): 1354–1372.
    • 2022
    • Article

    When Regular Meets Remarkable: Awe as a Link between Routine Work and Meaningful Self-narratives

    By: Elizabeth Sheprow and Spencer Harrison
    Daily narratives of work can include a mix of ordinary actions and awe-inspiring moments that reveal a vaster, more meaningful reality. When awe is experienced in the context of work, it can prompt self-referential sensemaking about what these experiences mean for the... View Details
    Keywords: Narratives; Meaning; Qualitative Method; Emotions; Identity; Employment
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    Sheprow, Elizabeth, and Spencer Harrison. "When Regular Meets Remarkable: Awe as a Link between Routine Work and Meaningful Self-narratives." Organizational Behavior and Human Decision Processes 170 (May 2022).
    • December 2010
    • Article

    Life in the Fast Lane: Origins of Competitive Interaction in New vs. Established Markets

    By: Eric L. Chen, Riitta Katila, Rory McDonald and Kathleen M. Eisenhardt
    Prior work examines competitive moves in relatively stable markets. In contrast, we focus on less stable markets where competitive advantages are temporary and R&D moves are essential. Using evolutionary search theory and an experiential simulation with in-depth... View Details
    Keywords: Balance and Stability; Competitive Advantage; Supply and Industry
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    Chen, Eric L., Riitta Katila, Rory McDonald, and Kathleen M. Eisenhardt. "Life in the Fast Lane: Origins of Competitive Interaction in New vs. Established Markets." Special Issue on The Age of Temporary Advantage. Strategic Management Journal 31, no. 13 (December 2010): 1527–1547.
    • 11 Feb 2025
    • HBS Seminar

    Brett Hollenbeck, University of California, Los Angeles

    • 2023
    • Working Paper

    Distributionally Robust Causal Inference with Observational Data

    By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
    We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
    Keywords: AI and Machine Learning; Mathematical Methods
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    Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
    • March 2022
    • Article

    Learning to Rank an Assortment of Products

    By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
    We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue... View Details
    Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce
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    Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
    • 2021
    • Article

    Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring

    By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
    Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
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    Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
    • 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.
    • 30 Nov 2015
    • HBS Seminar

    Soroush Saghafian, Assistant Professor of Public Policy - Harvard Kennedy School, Harvard University

    • 11 Sep 2017
    • Research & Ideas

    Why Employers Favor Men

    discrimination does indeed work against women in the hiring process. Testing for gender bias To simulate a real-life hiring situation, the researchers created online experiments with 100 participants representing workers seeking jobs, and... View Details
    Keywords: by Dina Gerdeman
    • March 2016 (Revised February 2023)
    • Teaching Note

    Advertising Experiments at RestaurantGrades

    By: Michael Luca, Weijia Dai and Hyunjin Kim
    Advertising Experiments at RestaurantGrades is an exercise in which students are asked to analyze and make a recommendation on the basis of simulated experimental data. The setting is a hypothetical restaurant review company called RestaurantGrades (RG), which shows... View Details
    Keywords: Advertising Campaigns; Marketing; Digital Marketing; Analysis; Performance Effectiveness
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    Luca, Michael, Weijia Dai, and Hyunjin Kim. "Advertising Experiments at RestaurantGrades." Harvard Business School Teaching Note 916-039, March 2016. (Revised February 2023.)
    • March 2006 (Revised February 2007)
    • Case

    UBS: Towards the Integrated Firm

    By: Rajiv Lal, Nitin Nohria and Carin-Isabel Knoop
    In late June 2005, UBS Group CEO Peter Wuffli--anointed "Master of Zurich" by the financial press--was returning to Zurich from the firm's latest three-day Senior Leadership Conference (SLC). Tapping 600 top managers, this SLC featured an outdoor event at a former... View Details
    Keywords: Integration; Programs; Leadership; Talent and Talent Management; Trust
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    Lal, Rajiv, Nitin Nohria, and Carin-Isabel Knoop. "UBS: Towards the Integrated Firm." Harvard Business School Case 506-026, March 2006. (Revised February 2007.)
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