Generalized Additive Model - Publications - Faculty & Research - Harvard Business School

Filter Results: (1,999)

Filter Results: (1,999)

Show Results For

← Page 31 of 1,999 Results →

Sort by

Are you looking for?

→Search All HBS Web

15 Feb 2017
Op-Ed

What Africa Can Teach the United States About Funding Infrastructure Projects

the great cities of America. But there will likely be massive arguments about how to raise the money and how to invest it. The solution may lie in finance models that have proven successful in several nations across the Atlantic Ocean—not... View Details

Keywords: by John Macomber; Construction

Article

Uncovering Mechanisms of Theory Development in an Academic Field: Lessons from Leadership Research

By: Mary Ann Glynn and Ryan Raffaelli

A long-standing debate in organization studies has centered on the tension between paradigmatic consensus and theoretical pluralism in an academic field, but little attention has been paid to the underlying processes of field development that account for this. Using a... View Details

Keywords: Leadership; Theory

Find at Harvard

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... View Details

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

January 2015
Article

Competing with Privacy

By: Ramon Casadesus-Masanell and Andres Hervas-Drane

We analyze the implications of consumer privacy for competition in the marketplace. We consider a market where firms set prices and disclosure levels for consumer information, and consumers observe both before deciding which firm to patronize and how much information... View Details

Keywords: Information Acquisition; Information Disclosure; Online Privacy; Privacy Regulation; Information; Rights; Internet and the Web; Competition; Internet and the Web; Corporate Disclosure; Ethics; Knowledge Acquisition

Find at Harvard

June 2020
Case

What IKEA Do We Want?

By: Juan Alcácer, Cynthia A. Montgomery, Emilie Billaud and Vincent Dessain

In 2018, Swedish furniture maker IKEA was undergoing a significant transformation. Challenged by the rise of online shopping and changing consumer behavior, and mourning the death of its founder, the Company's top executives knew they had to step out of their comfort... View Details

Keywords: Business Strategy; Transformation; Leading Change; Mission and Purpose; Business Model; Emerging Markets; Customer Focus and Relationships; Organizational Culture; Disruption; Consumer Products Industry; Retail Industry; Europe; Netherlands; Sweden; China; India; United States

November 2024
Supplement

AlphaGo (C): Birth of a New Intelligence

By: Shikhar Ghosh and Shweta Bagai

This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details

Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States

October 2018 (Revised August 2023)
Case

Safecast: Bootstrapping Human Capital to Big Data

By: Ethan Bernstein and Stephanie Marton

On March 11, 2011, at 2:46pm, a 9.1-on-the-Richter-scale, six-minute long earthquake unleashed a tsunami that ravaged the Tohoku region of Japan, damaging the Fukushima Daiichi Nuclear Power facility and releasing sufficient radioactive material into the air and ocean... View Details

12 Nov 2008
Research & Ideas

The Marketing of a President

polling places on election day. This policy of inclusion meant that voting records were set in the general election and the primaries. Fifth, his advertising messages and his tone and demeanor throughout the campaign consistently... View Details

Keywords: by John Quelch

2017
Working Paper

Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments

By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin

This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details

Keywords: Probability; Economic Theory; Analysis; Incentives

October 2001 (Revised April 2002)
Case

America Online, Inc.: Disclosure Strategy

By: Amy P. Hutton and David Lane

Since going public, AOL had disclosed on a quarterly basis supplemental metrics meant to give analysts and investors a way of tracking growth in its subscriber base and the value created through its marketing efforts. These metrics gave management's conversations with... View Details

Keywords: Business Model; Internet and the Web; Change Management; Internet and the Web; Corporate Disclosure; Media; Digital Marketing; Information Technology Industry; Media and Broadcasting Industry

Find at Harvard

Research Summary

Current Research

I am interested in research on various topics in retail operations and supply chain management, including inventory management, product variety, distribution logistics, financial performance of retailers, and linking operational performance to... View Details

October 2024
Article

Canary Categories

By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester

Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details

Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry

Find at Harvard

2021
Article

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins

We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details

Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning

Article

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan

Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details

Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software

Find at Harvard

2014
Working Paper

Cleaning House: The Impact of Information Technology on Employee Corruption and Performance

By: Lamar Pierce, Daniel Snow and Andrew McAfee

This paper examines how firm investments in technology-based employee monitoring impact both misconduct and productivity. We use unique and detailed theft and sales data from 392 restaurant locations from five firms that adopt a theft monitoring information technology... View Details

Keywords: Management Practices and Processes; Information Technology; Ethics; Performance Productivity; Employees

May 2024
Background Note

Net Revenue Retention: Unpacking the Dynamics of Customer Monetization

By: Elie Ofek, Barak Libai and Eitan Muller

Firms and investors alike are beginning to recognize the importance of tracking how revenues from existing customers are evolving over time and to appreciate the value in understanding what might explain changes in these revenues. Consequently, in addition to looking... View Details

Keywords: Customer Relationship Management; Revenue; Measurement and Metrics; Customer Value and Value Chain

January 2024 (Revised May 2024)
Case

Pioneer Natural Resources: Enhancing the Capital Return Strategy with Variable Dividends

By: Benjamin C. Esty, Elisabeth Kempf and E. Scott Mayfield

In February 2021, Scott Sheffield, the CEO of Pioneer Natural Resources (an independent oil and gas company based in Texas), was considering the possibility of enhancing the firm’s capital return strategy by introducing a variable dividend tied to cash flows in... View Details

Keywords: Corporate Finance; Cash Flow; Financial Management; Financial Strategy; Value Creation; Decision Choices and Conditions; Investment Return; Profit; Policy; Business and Shareholder Relations; Energy Industry; United States; North America; Texas

2023
Working Paper

Channeled Attention and Stable Errors

By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein

We develop a framework for assessing when somebody will eventually notice that she has a misspecified model of the world, premised on the idea that she neglects information that she deems—through the lens of her misconceptions—to be irrelevant. In doing so, we... View Details

Keywords: Attentional Stability; Cognition and Thinking; Attitudes; Information; Theory

October 1988 (Revised March 1989)
Case

Florida Power Light Quality Improvement (QI) Story Exercise (A)

Florida Power and Light (FPL) has developed a widely acclaimed quality improvement program (QIP). This exercise leads the students through the process that a division of FPL utilized in an attempt to "improve service." Specifically, the process requires students to... View Details

Keywords: Quality; Service Delivery; Performance Improvement; Business Processes; Utilities Industry; Florida

November 2024
Article

Preference Externality Estimators: A Comparison of Border Approaches and IVs

By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano

This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details

Keywords: Econometrics; Casual Inference; Marketing; Economics; Advertising; Mathematical Methods

Find at Harvard

←
31
32
…
99
100
→