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Show Results For
- All HBS Web
(3,897)
- People (3)
- News (392)
- Research (2,932)
- Events (25)
- Multimedia (16)
- Faculty Publications (2,228)
- 2007
- Article
Pharmacovigilance and the Missing Denominator: The Changing Context of Pharmaceutical Risk Mitigation
By: Arthur A. Daemmrich
In the wake of Vioxx, Avandia, and other recent prominent cases of drugs found to cause side effects after marketing, the safety of pharmaceuticals has come to the forefront of American public policy. Press attention, congressional investigations, and legislative... View Details
Keywords: Brands and Branding; Policy; Risk Management; Government Legislation; Risk and Uncertainty; Goals and Objectives; Customers; Pharmaceutical Industry; Health Industry; United States
Daemmrich, Arthur A. "Pharmacovigilance and the Missing Denominator: The Changing Context of Pharmaceutical Risk Mitigation." Pharmacy in History 49, no. 2 (2007): 61–75.
- July 2000 (Revised October 2019)
- Exercise
Riggs-Vericomp Negotiation (B): Confidential Information for VERICOMP (Buyer)
By: Michael Wheeler
The seller (Riggs Engineering) manufactures and services recycling equipment for the computer industry. The buyer (Vericomp) uses solvents in manufacturing chips. Though set in a high-tech industry, this exercise illustrates fundamental aspects of negotiation analysis... View Details
Keywords: Agreements and Arrangements; Negotiation Participants; Negotiation Tactics; Value Creation; Computer Industry
Wheeler, Michael. "Riggs-Vericomp Negotiation (B): Confidential Information for VERICOMP (Buyer)." Harvard Business School Exercise 801-097, July 2000. (Revised October 2019.)
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
- 2024
- Chapter
Inflation and Misallocation in New Keynesian Models
By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details
Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Inflation and Misallocation in New Keynesian Models." In ECB Forum on Central Banking 26-28 June 2023, Sintra, Portugal: Macroeconomic Stabilisation in a Volatile Inflation Environment. European Central Bank, forthcoming.
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- 2022
- Working Paper
Between Human Dignity and Security: Identifying Citizen and Elite Preferences and Concerns over Refugee Reception
By: Kristin Fabbe, Eleni Kyrkopoulou and Mara Vidali
Under what conditions do citizens and elites support the creation of migrant and refugee hosting facilities in their area, and what types of facilities do they prefer? What types of concerns underlay these preferences and how do they differ by ideology and elite... View Details
Fabbe, Kristin, Eleni Kyrkopoulou, and Mara Vidali. "Between Human Dignity and Security: Identifying Citizen and Elite Preferences and Concerns over Refugee Reception." Harvard Business School Working Paper, No. 23-026, November 2022.
- December 2022
- Article
The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance
This multi-method study of managers in a grocery chain identifies a novel mechanism by which threats of gender stereotypes undermine women’s ability to be effective managers. I find that women managers face a task bind, a dilemma that managers experience as they try to... View Details
Feldberg, Alexandra C. "The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance." Administrative Science Quarterly 67, no. 4 (December 2022): 1049–1092.
- April 2021
- Article
Work-From-Anywhere: The Productivity Effects of Geographical Flexibility
By: Prithwiraj Choudhury, Cirrus Foroughi and Barbara Larson
An emerging form of remote work allows employees to work-from-anywhere, so that the worker can choose to live in a preferred geographic location. While traditional work-from-home (WFH) programs offer the worker temporal flexibility, work-from-anywhere (WFA) programs... View Details
Keywords: Geographic Flexibility; Work-from-anywhere; Remote Work; Telecommuting; Geographic Mobility; USPTO; Employees; Geographic Location; Performance Productivity
Choudhury, Prithwiraj, Cirrus Foroughi, and Barbara Larson. "Work-From-Anywhere: The Productivity Effects of Geographical Flexibility." Strategic Management Journal 42, no. 4 (April 2021): 655–683.
- November – December 2011
- Article
Explaining Influence Rents: The Case for an Institutions-Based View of Strategy
By: Gautam Ahuja and Sai Yayavaram
Research in strategy has identified and tried to explain four types of rents: monopolistic rents, efficiency rents, quasi rents, and Schumpeterian rents. Building on previous work on political and institutional strategies, we add a fifth type of rent: influence rents.... View Details
Keywords: Institutions; Influence Rents; Generic Strategies; Strategy; Organizations; Renting or Rental; Economics
Ahuja, Gautam, and Sai Yayavaram. "Explaining Influence Rents: The Case for an Institutions-Based View of Strategy." Organization Science 22, no. 6 (November–December 2011): 1631–1652.
- September 2012
- Article
The Size and Composition of Corporate Headquarters in Multinational Companies: Empirical Evidence
By: David J. Collis, David Young and Michael Goold
Based on a six-country survey of nearly 250 multinationals (MNCs), this paper is the first empirical analysis to describe the size and composition of MNC headquarters and to account for differences among them. Findings are as follows: MNC corporate headquarters are... View Details
Keywords: Headquarters; Subsidiaries; Multinational Corporations; Organization Design; Administrative Heritage; International Strategy; Business Subsidiaries; Organizational Design; Multinational Firms and Management; Size; Business Headquarters; Global Strategy
Collis, David J., David Young, and Michael Goold. "The Size and Composition of Corporate Headquarters in Multinational Companies: Empirical Evidence." Journal of International Management 18, no. 3 (September 2012): 260–275.
- June 2009
- Case
Plaza, the Logistics Park of Zaragoza
In the year 2000, the Government of the Autonomous Community of Aragón, Spain, made public a project for the development of a large-scale logistics park in the outskirts of the city of Zaragoza. With an area of nearly 13 square kilometers, PLAZA (an acronym for... View Details
Keywords: Customer Satisfaction; Geographic Location; Growth and Development Strategy; Infrastructure; Logistics; Supply Chain; Transportation; Distribution Industry; Zaragoza
Watson, Noel H., and Santiago Kraiselburd. "Plaza, the Logistics Park of Zaragoza." Harvard Business School Case 609-113, June 2009.
- April 2006
- Case
Finance Leadership in Novartis Consumer Health Businesses
By: Boris Groysberg and Ingrid Vargas
Describes and contrasts the roles and challenges of three high-performing finance heads at Novartis Consumer Health businesses in Australia, Japan, and Venezuela. All three faced tremendous pressures in terms of managing time and limited resources, but the particular... View Details
Keywords: Finance; Financial Management; Multinational Firms and Management; Leadership Style; Health Industry; Japan; Australia; Venezuela
Groysberg, Boris, and Ingrid Vargas. "Finance Leadership in Novartis Consumer Health Businesses." Harvard Business School Case 406-102, April 2006.
The Comingled Code: Open Source and Economic Development
Discussions of the economic impact of open source software often generate more heat than light. Advocates passionately assert the benefits of open source while critics decry its effects. Missing from the debate is rigorous economic analysis and systematic economic... View Details
The Progress Principle
By Teresa M. Amabile, and Steven J. Kramer.
Harvard Business Review Press, 2011.
The most effective managers have the ability to build a cadre of employees who have great inner work lives-consistently positive... View Details
- November–December 2015
- Article
Active Postmarketing Drug Surveillance for Multiple Adverse Events
By: Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati and Stefanos A. Zenios
Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical... View Details
Keywords: Drug Surveillance; Health Care; Stochastic Models; Queueing; Diffusion Approximation; Brownian Motion; Health Care and Treatment; Analytics and Data Science; Analysis
Goh, Joel, Margrét V. Bjarnadóttir, Mohsen Bayati, and Stefanos A. Zenios. "Active Postmarketing Drug Surveillance for Multiple Adverse Events." Operations Research 63, no. 6 (November–December 2015): 1528–1546. (Finalist, 2012 INFORMS Health Applications Society Pierskalla Award.)
- Web
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- Research Summary
Overview
By: Boris Vallee
Professor Vallée focuses on financial innovation, investigating it from different angles. This research thread has led him to relate the methods and insights of corporate finance and banking with those of other subfields, including household finance, public finance,... View Details
Robert C. Merton
Robert C. Merton is the School of Management Distinguished Professor of Finance at the MIT Sloan School of Management.
Merton is University Professor Emeritus at Harvard University and was the George Fisher Baker Professor of... View Details
- 03 Oct 2007
- Working Paper Summaries
The Causes and Consequences of Industry Self-Policing
Keywords: by Jodi L. Short & Michael W. Toffel