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Show Results For
-
All HBS Web
(10,608)
- People (64)
- News (3,231)
- Research (3,880)
- Events (24)
- Multimedia (60)
- Faculty Publications (1,353)
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- 03 Mar 2023
- Research & Ideas
When Showing Know-How Backfires for Women Managers
Sometimes, trying to prove yourself in one task takes away time from doing other important tasks. “Women experience the fear that people are going to think they’re not good at, competent in, or capable in their roles.” Especially women...
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- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving...
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Keywords:
Autoencoder Networks;
Pattern Detection;
Subset Scanning;
Computer Vision;
Statistical Methods And Machine Learning;
Machine Learning;
Deep Learning;
Data Mining;
Big Data;
Large-scale Systems;
Mathematical Methods;
Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- 04 Oct 2010
- Research & Ideas
Introverts: The Best Leaders for Proactive Employees
relatively passive but the managers were extraverted. On the other hand, when employees were proactive, the stores led by introverted managers earned high profits. Meanwhile, profits were lower in stores where extraverted managers led...
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by Carmen Nobel
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...
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Keywords:
Machine Learning;
Econometric Analysis;
Instrumental Variable;
Random Forest;
Causal Inference;
AI and Machine Learning;
Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To...
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Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- September 2018 (Revised December 2019)
- Case
Zebra Medical Vision
By: Shane Greenstein and Sarah Gulick
An Israeli startup founded in 2014, Zebra Medical Vision developed algorithms that produced diagnoses from X-rays, mammograms, and CT-scans. The algorithms used deep learning and digitized radiology scans to create software that could assist doctors in making...
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Keywords:
Radiology;
Machine Learning;
X-ray;
CT Scan;
Medical Technology;
Probability;
FDA 510(k);
Diagnosis;
Business Startups;
Health Care and Treatment;
Information Technology;
Applications and Software;
Competitive Strategy;
Product Development;
Commercialization;
Decision Choices and Conditions;
Health Industry;
Medical Devices and Supplies Industry;
Technology Industry;
Israel
Greenstein, Shane, and Sarah Gulick. "Zebra Medical Vision." Harvard Business School Case 619-014, September 2018. (Revised December 2019.)
- 09 Jun 2022
- HBS Case
From Truck Driver to Manager: US Foods’ Novel Approach to Staff Shortages
in March 2020, the pandemic only exacerbated a longstanding issue. The shortage of drivers to deliver food supplies to the roughly 300,000 restaurants, hotels, hospitals, schools, and universities serviced by US Foods was not its only...
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by Pamela Reynolds
- 29 Nov 2021
- Research & Ideas
How Bonuses Get Employees to Choose Work Over Family
pay—and that has the potential to lay the groundwork for an overworked, unhappy existence, according to research by Ashley Whillans, an assistant professor in Harvard Business School’s Negotiation, Organizations, and Markets Unit. The...
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by Rachel Kim Raczka
- Summer 2020
- Article
Venture Capital's Role in Financing Innovation: What We Know and How Much We Still Need to Learn
By: Josh Lerner and Ramana Nanda
Venture capital is associated with some of the most high-growth and influential firms in the world. Academics and practitioners have effectively articulated the strengths of the venture model. At the same time, venture capital financing also has real limitations in its...
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Lerner, Josh, and Ramana Nanda. "Venture Capital's Role in Financing Innovation: What We Know and How Much We Still Need to Learn." Journal of Economic Perspectives 34, no. 3 (Summer 2020): 237–261.
- 07 Sep 2021
- Research & Ideas
Who Pays For Wildfire and Hurricane Damage? Everyone.
New Mexico homeowners might think their inland location buffers them from the financial toll of climate change, but they’re still paying for climate-related property damage occurring in coastal states. New research finds that homeowners in New Mexico and other states...
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- Article
The Feeling of Not Knowing It All
By: Haiyang Yang, Ziv Carmon, Dan Ariely and Michael I. Norton
How do consumers assess their mastery of knowledge they have learned? We explore this question by investigating a common knowledge consumption situation: encountering opportunities for further learning. We argue and show that such opportunities can trigger a...
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Keywords:
Knowledge Consumption;
Consumption Of Learning;
Judgment Of Knowledge;
Feeling Ofknowing;
Confidence In Knowledge;
WYSIATI;
FONKIA;
Knowledge Acquisition;
Learning;
Perception
Yang, Haiyang, Ziv Carmon, Dan Ariely, and Michael I. Norton. "The Feeling of Not Knowing It All." Journal of Consumer Psychology 29, no. 3 (July 2019): 455–462.
- Article
Repositioning and Cost-Cutting: The Impact of Competition on Platform Strategies
By: Robert Seamans and Feng Zhu
Organizational structures are increasingly complex. In particular, more firms today operate as multi-sided platforms. In this paper, we study how platform firms use repositioning and cost-cutting in response to competition, elucidate external and internal factors that...
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Keywords:
Platform Strategy;
Repositioning;
Cost-cutting;
Intra-firm Learning;
Multi-Sided Platforms;
Cost Management;
Product Positioning;
Organizational Structure;
Competitive Strategy;
Knowledge Acquisition;
Journalism and News Industry
Seamans, Robert, and Feng Zhu. "Repositioning and Cost-Cutting: The Impact of Competition on Platform Strategies." Strategy Science 2, no. 2 (June 2017): 83–99.
- April 2017
- Case
The Future of Patent Examination at the USPTO
By: Prithwiraj Choudhury, Tarun Khanna and Sarah Mehta
The U.S. Patent and Trademark Office (USPTO) is the federal government agency responsible for evaluating and granting patents and trademarks. In 2015, the USPTO employed approximately 8,000 patent examiners who granted nearly 300,000 patents to inventors. As of April...
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Keywords:
Machine Learning;
Telework;
Collaborating With Unions;
Human Resources;
Recruitment;
Retention;
Intellectual Property;
Copyright;
Patents;
Trademarks;
Knowledge Sharing;
Technology Adoption;
Organizational Change and Adaptation;
Performance Productivity;
Performance Improvement;
District of Columbia
Choudhury, Prithwiraj, Tarun Khanna, and Sarah Mehta. "The Future of Patent Examination at the USPTO." Harvard Business School Case 617-027, April 2017.
- 2017
- Working Paper
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks...
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Keywords:
Discretion;
Scheduling;
Queue;
Healthcare;
Learning;
Experience;
Decentralization;
Delegation;
Behavioral Operations;
Operations;
Service Operations;
Service Delivery;
Performance;
Performance Effectiveness;
Performance Efficiency;
Performance Improvement;
Performance Productivity;
Decisions;
Time Management;
Cost vs Benefits;
Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Harvard Business School Working Paper, No. 16-051, October 2015. (Revised March 2017.)
- November 2022
- Article
A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups
By: Anjali M. Bhatt, Amir Goldberg and Sameer B. Srivastava
When the social boundaries between groups are breached, the tendency for people to erect and maintain symbolic boundaries intensifies. Drawing on extant perspectives on boundary maintenance, we distinguish between two strategies that people pursue in maintaining...
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Keywords:
Culture;
Machine Learning;
Natural Language Processing;
Symbolic Boundaries;
Organizations;
Boundaries;
Social Psychology;
Interpersonal Communication;
Organizational Culture
Bhatt, Anjali M., Amir Goldberg, and Sameer B. Srivastava. "A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups." Sociological Methods & Research 51, no. 4 (November 2022): 1681–1720.
- 2021
- Working Paper
First Law of Motion: Influencer Video Advertising on TikTok
By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging...
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Keywords:
Influencer Advertising;
Video Advertising;
Computer Vision;
Machine Learning;
Advertising;
Online Technology
Yang, Jeremy, Juanjuan Zhang, and Yuhan Zhang. "First Law of Motion: Influencer Video Advertising on TikTok." Working Paper, March 2021.
- September 2020 (Revised March 2022)
- Case
JOANN: Joannalytics Inventory Allocation Tool
By: Kris Ferreira and Srikanth Jagabathula
Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and...
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Keywords:
Analytics;
Machine Learning;
Optimization;
Inventory Management;
Mathematical Methods;
Decision Making;
Operations;
Supply Chain Management;
Resource Allocation;
Distribution;
Technology Adoption;
Applications and Software;
Change Management;
Fashion Industry;
Consumer Products Industry;
Retail Industry;
United States;
Ohio
Ferreira, Kris, and Srikanth Jagabathula. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Case 621-055, September 2020. (Revised March 2022.)
- 27 Sep 2021
- Research & Ideas
Managers, Your Employees Don’t Want to Be Facebook ‘Friends’
Online—was coauthored by Nancy P. Rothbard, David Pottruck Professor of Management of the Wharton School of Business; Lakshmi Ramarajan, the Anna Spangler Nelson and Thomas C. Nelson Associate Professor of Business Administration at...
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by Rachel Kim Raczka
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
The modern world is fueled by matchmaking. Going out on the town? Uber pairs you with a driver you can choose based on ratings, proximity, and even car model. Craving a vacation? Simply filter getaways based on locale and price through...
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by Kara Baskin
- 29 Jul 2002
- Research & Ideas
Time Pressure and Creativity: Why Time is Not on Your Side
need to keep creative thinking in their organizations even as time pressures increase. Silverthorne: What was the genesis of the project? What fascinated you about the question of time pressure and creativity? Amabile: Over the course of...
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