Publications

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February 2019
Case

Miroglio Fashion (A)

By: Sunil Gupta and David Lane

Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details

Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry

Educators

Web

Bibliography - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections

HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize Research View Details

Web

Prelude - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections

HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize Research View Details

Web

Introduction - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections

HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize Research View Details

Article

Firms, Crowds, and Innovation

By: Teppo Felin, Karim R. Lakhani and Michael L. Tushman

The purpose of this article is to suggest a (preliminary) taxonomy and research agenda for the topic of “firms, crowds, and innovation” and to provide an introduction to the associated special issue. We specifically discuss how various crowd-related phenomena and... View Details

Keywords: Crowdsourcing; Innovation; Open Innovation; Organization Theory; Collaborative Innovation and Invention; Organizations; Theory; Strategy

August 2016
Article

'Meso'-Foundations of Dynamic Capabilities: Team-Level Synthesis and Distributed Leadership as the Source of Dynamic Creativity

By: Ikujiro Nonaka, Ayano Hirose and Yusaku Takeda

This article examines the theoretical foundations of an organization's dynamic capabilities—sensing, seizing, and transforming—from the perspective of organizational knowledge creation. Making a distinction between the creative and adaptive aspects of dynamic... View Details

Keywords: Organizational Knowledge Creation Theory; Dynamic Capabilities; Middle-up-down Management; Wise Leadership; Phronesis; Multinational Enterprise; Organizational Change and Adaptation; Multinational Firms and Management; Management Practices and Processes; Creativity; Organizational Structure; Knowledge

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25 Jul 2012
News

Movie Magic

Starbucks/Seattle’s Best. “This is not a coffee vending machine,” he clarifies. “These are real beans, being ground to order for a high quality cup of coffee priced at $1.” There are currently about 50 coffee View Details

Keywords: vending machines; Performing Arts, Spectator Sports, and Related Industries; Arts, Entertainment; General Merchandise Stores; Retail Trade

Article

Robust and Stable Black Box Explanations

By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani

As machine learning black boxes are increasingly being deployed in real-world applications, there has been a growing interest in developing post hoc explanations that summarize the behaviors of these black boxes. However, existing algorithms for generating such... View Details

Keywords: Machine Learning; Black Box Models; Framework

09 Dec 2019
News

What If The Foundational Theories About How To Run a Company Have Been Corrupted?

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

Web

The Formula - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections

HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize Research View Details

2017
Chapter

Paul R. Lawrence: A Career of Rigor, Relevance, and Passion

By: Michael Tushman

Paul R. Lawrence was one of the earliest and most influential figures in the emergence of organizational behavior as a field of study. He was a pioneer in creating a body of work on organization design, leadership, and change in both the private and public sectors.... View Details

Keywords: Organization Design; Contingency Theory; Public And Private Organizations; Rigor And Relevance; Biography; Organizational Design; Leadership; Learning; Leading Change

Web

The Significance and Consequences of Financial Models - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections

HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize Research View Details

2023
Working Paper

When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program

By: Alexander Bartik, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton and Adi Sunderam

What happens when public resources are allocated by private companies whose objectives may be imperfectly aligned with policy goals? We study this question in the context of the Paycheck Protection Program (PPP), which relied on private banks to disburse aid to small... View Details

Keywords: Paycheck Protection Program; Targeting; Impact; Entrepreneurship; Health Pandemics; Small Business; Financing and Loans; Outcome or Result; United States

SSRN

October 2015 (Revised October 2016)
Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. Shih

This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details

Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States

Educators

March–April 2012
Article

The Genesis and Dynamics of Organizational Networks

By: Gautam Ahuja, Guiseppe Soda and Akbar Zaheer

An extensive body of knowledge exists on network outcomes and on how network structures may contribute to the creation of outcomes at different levels of analysis, but less attention has been paid to understanding how and why organizational networks emerge, evolve, and... View Details

Keywords: Economic Sociology; Economics And Organization; Social Networks; Organization And Management Theory; Interorganizatonal Relationships; Networks; Strategy; Change

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Article

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin

Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details

Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning

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