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Show Results For
- All HBS Web
(491)
- News (60)
- Research (335)
- Events (2)
- Multimedia (2)
- Faculty Publications (197)
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- April 1993 (Revised July 1994)
- Case
MathSoft, Inc. (A)
MathSoft's VP of sales has doubled the size of the company's direct field sales force to support the launch of a new, high-end workstation software product priced at almost $9,000. However, sales of the new product are far below plan. At the same time, the VP of... View Details
Keywords: Information Technology; Corporate Entrepreneurship; Applications and Software; Communication Strategy; Salesforce Management; Marketing Channels; Advertising; Product Launch; Information Technology Industry; Industrial Products Industry; United States
Rangan, V. Kasturi. "MathSoft, Inc. (A)." Harvard Business School Case 593-094, April 1993. (Revised July 1994.)
- 2013
- Book
Wall Street Research: Past, Present, and Future
By: Boris Groysberg and Paul M. Healy
Wall Street equity analysts provide research products and services on publicly-traded companies to institutional and retail investors to help them make more profitable investment decisions. During the last ten years Wall Street research has been battered by a series of... View Details
Keywords: Financial Analysts; Investment Banks; Conflicts Of Interest; Accounting; Financial Institutions; Financial Services Industry; United States
Groysberg, Boris, and Paul M. Healy. Wall Street Research: Past, Present, and Future. Palo Alto, CA: Stanford University Press, 2013.
- 30 Jun 2015
- First Look
First Look: June 30, 2015
strongly anti-inflationary monetary policy, while the decrease in bond risks after 2000 is attributed to a renewed focus on output fluctuations and a shift from transitory to persistent monetary policy shocks. Endogenous responses of bond... View Details
Keywords: Carmen Nobel
- Research Summary
Optimal Reserve Management and Sovereign Debt (with Fabio Kanczuk)
By: Laura Alfaro
Most models currently used to determine optimal foreign reserve holdings take the level of international debt as given. Some of the implications of this analysis, however, may not be generalized once one considers the joint decision to hold debt and reserves by a... View Details
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- May 2014
- Article
Digital Dark Matter and the Economic Contribution of Apache
By: Shane Greenstein and Frank Nagle
Researchers have long hypothesized that research outputs from government, university, and private company R&D contribute to economic growth, but these contributions may be difficult to measure when they take a non-pecuniary form. The growth of networking devices and... View Details
Keywords: Open Source; Apache; Economic Measurement; Digital Economics; Measurement and Metrics; Open Source Distribution; Internet and the Web; Information Technology; Applications and Software; Economic Growth; Research and Development; Web Services Industry; Information Technology Industry; United States
Greenstein, Shane, and Frank Nagle. "Digital Dark Matter and the Economic Contribution of Apache." Research Policy 43, no. 4 (May 2014): 623–631. (Lead Article.)
- 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.
- 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.
- 12 Mar 2024
- Research & Ideas
Publish or Perish: What the Research Says About Productivity in Academia
publication outputs also works against tenured professors, who typically spend more time on longer lead-time projects, such as writing books or advising policymakers. The Harvard team looked instead at per-hour research View Details
- September–October 2024
- Article
The Crowdless Future? Generative AI and Creative Problem-Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
- March, 2023
- Article
Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes
By: Maria P. Roche
The transfer of complex knowledge and skills is difficult, often requiring intensive interaction and extensive periods of co-working between a mentor and mentee, which is particularly true in apprenticeship-like settings and on-the-job training. This paper studies a... View Details
Keywords: Entrepreneurship; Higher Education; Training; Personal Development and Career; Knowledge Dissemination
Roche, Maria P. "Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes." Organization Science 34, no. 2 (March, 2023): 959–986.
- January 2025
- Case
Redwood & Strong: The Value of a Consulting Engagement
By: David G. Fubini and Patrick Sanguineti
The board of Redwood & Strong LLP (R&S), the American branch of a large global law firm, is meeting to review the findings of a recent strategic initiative designed to identify potential merger candidates. The request for the engagement originated from Daniel Crawford,... View Details
- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details
Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- August 2017 (Revised August 2018)
- Case
The Oakland Athletics: Strategy & Metrics for a Budget
By: Srikant M. Datar and Caitlin N. Bowler
This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details
Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry
Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
- 2012
- Working Paper
Author-Level Eigenfactor Metrics: Evaluating the Influence of Authors, Institutions and Countries within the SSRN community
By: Jevin D. West, Michael C. Jensen, Ralph J. Dandrea, Gregg Gordon and Carl T. Bergstrom
In this paper, we show how the Eigenfactor® score, originally designed for ranking scholarly journals, can be adapted to rank the scholarly output of authors, institutions, and countries based on author-level citation data. Using the methods described herein, we... View Details
Keywords: Body of Literature; Measurement and Metrics; Networks; Rank and Position; Research; Motivation and Incentives
West, Jevin D., Michael C. Jensen, Ralph J. Dandrea, Gregg Gordon, and Carl T. Bergstrom. "Author-Level Eigenfactor Metrics: Evaluating the Influence of Authors, Institutions and Countries within the SSRN community." Harvard Business School Working Paper, No. 12-068, February 2012.
- November 2012
- Article
Does Management Really Work?
By: Nicholas Bloom, Raffaella Sadun and John Van Reenen
HBR's 90th anniversary is a sensible time to revisit a basic question: Are organizations more likely to succeed if they adopt good management practices? The answer may seem obvious to most HBR readers, but these three economists cast their net much wider than that. In... View Details
Keywords: Best Practices; Consulting Firms; Corporations; Cost Control; Employee Training; Executive Ability (Management); Executives—training Of; Hospitals—administration; Industrial Management—research; Productivity Incentives; School Management Teams; Work Environment; Management; Research
Bloom, Nicholas, Raffaella Sadun, and John Van Reenen. "Does Management Really Work?" Harvard Business Review 90, no. 11 (November 2012).
- Summer 2016
- Article
Open Content, Linus' Law, and Neutral Point of View
By: Shane Greenstein and Feng Zhu
The diffusion of the Internet and digital technologies has enabled many organizations to use the open-content production model to produce and disseminate knowledge. While several prior studies have shown that the open-content production model can lead to high-quality... View Details
Keywords: Prejudice and Bias; Internet and the Web; Balance and Stability; Operations; Knowledge Management; Knowledge Dissemination
Greenstein, Shane, and Feng Zhu. "Open Content, Linus' Law, and Neutral Point of View." Information Systems Research 27, no. 3 (September 2016): 618–635.
- 14 Nov 2023
- Research & Ideas
The Network Effect: Why Companies Should Care About Employees’ LinkedIn Connections
become more central to the network by one decile group (for example, from the thirtieth percentile to the fortieth percentile) increase their research and development spending by 5 percent and their patent output from 3.5 percent to 5.8... View Details
Keywords: by Ben Rand
- 2009
- Article
Modeling Expert Opinions on Food Healthfulness: A Nutrition Metric
By: Jolie M. Martin, John Beshears, Katherine L. Milkman, Max H. Bazerman and Lisa Sutherland
Research over the last several decades indicates the failure of existing nutritional labels to substantially improve the healthiness of consumers' food and beverage choices. The difficulty for policy-makers is to encapsulate a wide body of scientific knowledge in a... View Details
Keywords: Judgments; Food; Nutrition; Labels; Knowledge Use and Leverage; Demand and Consumers; Measurement and Metrics; Mathematical Methods
Martin, Jolie M., John Beshears, Katherine L. Milkman, Max H. Bazerman, and Lisa Sutherland. "Modeling Expert Opinions on Food Healthfulness: A Nutrition Metric." Journal of the American Dietetic Association 109, no. 6 (June 2009): 1088–1091.