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: (1,881) Arrow Down
Filter Results: (1,881) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (3,496)
    • People  (38)
    • News  (626)
    • Research  (1,881)
    • Events  (27)
    • Multimedia  (206)
  • Faculty Publications  (1,413)

Show Results For

  • All HBS Web  (3,496)
    • People  (38)
    • News  (626)
    • Research  (1,881)
    • Events  (27)
    • Multimedia  (206)
  • Faculty Publications  (1,413)
← Page 24 of 1,881 Results →
Sort by

Are you looking for?

→Search All HBS Web
  • Research Summary

Interpersonal Communication & Human-Computer Interaction

This stream of research, combining methods from experimental psychology and natural language processing, investigates behaviors that improve interpersonal communication. In our paper on question-asking published in Journal of Personality and Social Psychology,... View Details
Keywords: Communication; Responsiveness; Negotiation; Gender Stereotypes
  • May–June 2015
  • Article

Big Data: Big Deal or Big Hype?

By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Keywords: Big Data; Analytics and Data Science; Management Practices and Processes
Citation
Read Now
Related
Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
  • 2023
  • Working Paper

In-Context Unlearning: Language Models as Few Shot Unlearners

By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details
Keywords: AI and Machine Learning; Copyright; Information
Citation
Read Now
Related
Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
  • June 2024
  • Article

Economics of Enhanced Methane Oxidation Relative to Carbon Dioxide Removal

By: Conor Hickey and Myles Allen
Mitigating short-term global warming is imperative, and a key strategy involves reducing atmospheric methane (CH4) due to its high radiative forcing and short lifespan. This objective can be achieved through methods such as oxidising methane at its source or... View Details
Keywords: Greenhouse Gas Mitigation; Climate Change; Environmental Regulation; Pollutants; Research; Measurement and Metrics
Citation
Read Now
Related
Hickey, Conor, and Myles Allen. "Economics of Enhanced Methane Oxidation Relative to Carbon Dioxide Removal." Art. 4043. Environmental Research Letters 19, no. 6 (June 2024).
  • 2025
  • Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Citation
SSRN
Read Now
Related
Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
  • 2023
  • Article

MoPe: Model Perturbation-based Privacy Attacks on Language Models

By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
Keywords: Large Language Model; AI and Machine Learning; Cybersecurity
Citation
Read Now
Related
Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
  • August 2021 (Revised February 2023)
  • Case

Fair Park Covid-19 Mass Vaccination Site (A)

By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair... View Details
Keywords: Operations Improvement; Operations And Processes; Toyota Production System; COVID-19 Pandemic; Operations; Service Operations; Health Pandemics; Problems and Challenges; Goals and Objectives; Measurement and Metrics; Health Care and Treatment; Health Industry; United States; Texas
Citation
Educators
Purchase
Related
Shih, Willy. "Fair Park Covid-19 Mass Vaccination Site (A)." Harvard Business School Case 622-003, August 2021. (Revised February 2023.)
  • June 2022
  • Article

The Use and Misuse of Patent Data: Issues for Finance and Beyond

By: Josh Lerner and Amit Seru
Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details
Keywords: Patents; Analytics and Data Science; Corporate Finance; Research
Citation
Find at Harvard
Read Now
Related
Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
  • January 22, 2020
  • Article

Making Honest Conversations the Norm

By: Michael Beer
Much admired companies like Boeing and Wells Fargo sacrifice their competitive advantage. Some make huge ethical blunders. As a result, shareholders suffer huge losses in value while employees, customers, and society lose trust and confidence in the institution. Based... View Details
Keywords: Honesty; Interpersonal Communication; Framework; Organizational Culture; Trust; Performance Effectiveness
Citation
Read Now
Related
Beer, Michael. "Making Honest Conversations the Norm." ChangeThis (blog) (January 22, 2020).
  • November 2016 (Revised October 2018)
  • Case

IguanaFix

By: Frank V. Cespedes, Thomas R. Eisenmann, Maria Fernanda Miguel and Laura Urdapilleta
IguanaFix is a rapidly scaling Latin American startup that provides an online platform connecting consumers with home improvement contractors. The founders have acquired customers through both B2C and B2B methods. But in seeking to grow and scale the business, they now... View Details
Keywords: Entrepreneurial Marketing; Home Improvement Services; Marketing Management; Scaling; Entrepreneurship; Marketing; Sales; Online Advertising; Latin America
Citation
Educators
Purchase
Related
Cespedes, Frank V., Thomas R. Eisenmann, Maria Fernanda Miguel, and Laura Urdapilleta. "IguanaFix." Harvard Business School Case 817-056, November 2016. (Revised October 2018.)
  • 2017
  • Chapter

Marketing Models for the Customer-Centric Firm

By: Eva Ascarza, Peter S. Fader and Bruce G.S. Hardie
A customer-centric firm takes the view that there are three key drivers of (organic) growth and overall profitability: Customer acquisition, customer retention, and customer development (i.e., increasing the value of each existing customer (per unit of time) while they... View Details
Keywords: Customer Value and Value Chain; Customer Focus and Relationships
Citation
Read Now
Related
Ascarza, Eva, Peter S. Fader, and Bruce G.S. Hardie. "Marketing Models for the Customer-Centric Firm." In Handbook of Marketing Decision Models. 2nd ed. Edited by Berend Wierenga and Ralf van der Lans, 297–330. International Series in Operations Research & Management Science. Springer, 2017.
  • 2020
  • Working Paper

Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty

By: J. Peter Scoblic
This paper proposes to treat strategic foresight as a dynamic capability, providing a new theoretical lens on managerial judgment. Formulating strategy under uncertainty is a central challenge facing the modern firm. Analogy is thought to help managers make sense of... View Details
Keywords: Foresight; Dynamic Capabilities; Managerial Judgment; Risk and Uncertainty; Management; Strategy
Citation
Read Now
Related
Scoblic, J. Peter. "Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty." Harvard Business School Working Paper, No. 20-093, March 2020.
  • 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.
  • 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).
  • April 2019 (Revised April 2021)
  • 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
Citation
Educators
Purchase
Related
Rayport, Jeffrey F., Susie L. Ma, and Matthew G. Preble. "Wayfair." Harvard Business School Case 819-045, April 2019. (Revised April 2021.)
  • September 24, 2021
  • Article

A Labor Movement for the Platform Economy

By: Li Jin, Scott Duke Kominers and Lila Shroff
Platforms are fundamentally changing the contract between workers and companies—and the workers and creatives that create value for platform companies, and rely on platforms for their livelihoods, often have little power when it comes to getting their concerns... View Details
Keywords: Gig Workers; Decentralized Collective Action; Internet and the Web; Labor; Labor and Management Relations; Digital Platforms
Citation
Find at Harvard
Register to Read
Related
Jin, Li, Scott Duke Kominers, and Lila Shroff. "A Labor Movement for the Platform Economy." Harvard Business Review Digital Articles (September 24, 2021).
  • 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
Citation
Find at Harvard
Purchase
Related
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.
  • 2012
  • Chapter

Creating Leaders: An Ontological/Phenomenological Model

By: Michael C. Jensen, Werner Erhard and Kari L. Granger
The sole objective of our ontological/phenomenological approach to creating leaders is to leave students actually being leaders and exercising leadership effectively as their natural self-expression. By "natural self-expression" we mean a way of being and acting in any... View Details
Keywords: Leadership Development; Attitudes; Behavior; Experience and Expertise; Knowledge Acquisition
Citation
SSRN
Related
Jensen, Michael C., Werner Erhard, and Kari L. Granger. "Creating Leaders: An Ontological/Phenomenological Model." Chap. 16 in The Handbook for Teaching Leadership: Knowing, Doing, and Being, edited by Scott Snook, Nitin Nohria, and Rakesh Khurana. Thousand Oaks, CA: Sage Publications, 2012.
  • 2014
  • Chapter

Ein Jahrzehnt Clusterpolitik und -forschung: Implikationen für eine moderne, clusterorientierte Wirtschaftsförderung

By: Christian H.M. Ketels
Reflecting on the experience of nearly two decades this chapter discusses the nature of cluster-based economic policies. It first looks at the types of programmes and initiatives that have emerged, and the evidence on their impact on economic outcomes. It then tracks... View Details
Keywords: Clusters; Cluster Initiative Program; Economic Policy; Regional Policy; Policy; Economics
Citation
Purchase
Related
Ketels, Christian H.M. "Ein Jahrzehnt Clusterpolitik und -forschung: Implikationen für eine moderne, clusterorientierte Wirtschaftsförderung." Chap. 3 in Zukunft der Wirtschaftsförderung, edited by Rasmus C. Beck, Rolf G. Heinze, and Josef Schmid, 45–64. Nomos Verlagsgesellschaft, 2014, German ed.
  • September 2012
  • Supplement

Industrial Metrology: Getting In-Line? (B)

By: Willy Shih
Rainer Ohnheiser, the President of Carl Zeiss's Business Group Industrial Metrology (IMT), was focused on the threat that in-line metrology posed to Carl Zeiss IMT's core business. Historically, coordinate measurement machines (CMMs) that employed tactile measurement... View Details
Keywords: Performance Trajectories; Emerging Technologies; Manufacturing Tools; Carl Zeiss; Go-to-market Strategy; Disruptive Innovation; Technological Innovation; Production; Performance Improvement; Measurement and Metrics; Manufacturing Industry; Germany
Citation
Purchase
Related
Shih, Willy. "Industrial Metrology: Getting In-Line? (B)." Harvard Business School Supplement 613-041, September 2012.
  • ←
  • 24
  • 25
  • …
  • 94
  • 95
  • →

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.