Publications
Publications
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- All HBS Web
(4,047)
- Faculty Publications (1,263)
- 2020
- Working Paper
Tech Clusters
By: William R. Kerr and Frederic Robert-Nicoud
Tech clusters like Silicon Valley play a central role for modern innovation, business competitiveness, and economic performance. This paper reviews what constitutes a tech cluster, how they function internally, and the degree to which policy makers can purposefully... View Details
- Article
How to Use Heuristics for Differential Privacy
By: Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
We develop theory for using heuristics to solve computationally hard problems in differential privacy. Heuristic approaches have enjoyed tremendous success in machine learning, for which performance can be empirically evaluated. However, privacy guarantees cannot be... View Details
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 17 The Wintel Standards-based Platform
The purpose of this chapter is to use the theory of bottlenecks laid out in previous chapters to better understand the dynamics of an open standards-based platform. I describe how the Wintel platform evolved from 1990 through 2000 under joint sponsorship of Intel and... View Details
- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
- 2019
- Working Paper
The Impact of the General Data Protection Regulation on Internet Interconnection
By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on... View Details
- October 2019
- Case
Feeling Machines: Emotion AI at Affectiva
By: Shane Greenstein and John Masko
In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details
- Article
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
- October 2019
- Case
Leading Bank Leumi into the Future
By: Joshua D. Margolis, Allison M. Ciechanover, Nicole Keller and Danielle Golan
An unlikely but highly effective leader of a traditional bank, Rakefet Russak-Aminoach, simultaneously leads a classic change effort and an unconventional effort to innovate. She focuses her initial energy on making the bank more efficient in the face of industry... View Details
Keywords: Mobile Banking; Digital Banking; Fintech; Startup; Financial Services; Artificial Intelligence; Innovation; Efficiency; Organizational Change; Personal Development; Female Ceo; Banks and Banking; Mobile and Wireless Technology; Leadership; Organizational Change and Adaptation; Innovation and Invention; Disruption; Information Technology; Opportunities; Performance Effectiveness; Personal Development and Career; AI and Machine Learning; Financial Services Industry; Banking Industry; Israel
- October 2019 (Revised March 2021)
- Background Note
Modern Automation (B): Robotics
By: William R. Kerr and James Palano
Driven largely by advances in perception and situational awareness, robots in the 2010s were gaining functionality that allowed them to be applied to fundamentally new types of work. The expanding range of new tasks that could be completed by machines had significant... View Details
- Article
Organizational Innovation in the Multinational Enterprise: Internalization Theory and Business History
By: Teresa da Silva Lopes, Mark Casson and Geoffrey Jones
This article engages in a methodological experiment by using historical evidence to challenge a common misperception about internalization theory. The theory has often been criticized for maintaining that it assumes a hierarchically organized MNE based on knowledge... View Details
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
- 2020
- Working Paper
Collusion in Brokered Markets
By: John William Hatfield, Scott Duke Kominers and Richard Lowery
The U.S. residential real estate agency market presents a puzzle for economic theory: commissions on real estate transactions have remained high for decades even though entry is frequent and costs are low. We model the real estate agency market, and other brokered... View Details
- September 2019 (Revised February 2020)
- Teaching Note
Commonwealth Bank of Australia: Unbanklike Experimentation
By: Ryan W. Buell and Leslie K. John
Email mking@hbs.edu for a courtesy copy.
This Teaching Note explains the theory of the case and teaching plan for the case: Commonwealth Bank of Australia: Unbanklike Experimentation (619-018). In August 2017,... View Details
This Teaching Note explains the theory of the case and teaching plan for the case: Commonwealth Bank of Australia: Unbanklike Experimentation (619-018). In August 2017,... View Details
- Fall 2019
- Article
Endogenous Productivity of Demand-Induced R&D: Evidence from Pharmaceuticals
By: Kyle Myers and Mark Pauly
We examine trends in the productivity of the pharmaceutical sector over the past three decades. Motivated by Ricardo’s insight that productivity and rents are endogenous to demand when inputs are scarce, we examine the industry’s aggregate R&D production function.... View Details
- August 2019
- Teaching Note
Back to the Roots
By: Elizabeth A. Keenan and Leslie K. John
Email mking@hbs.edu for a courtesy copy.
This Teaching Note explains the theory of the case and teaching plan for the case: Back to the Roots HBS case No. 518-073. Back to the Roots (BTTR) is a start-up with a... View Details
This Teaching Note explains the theory of the case and teaching plan for the case: Back to the Roots HBS case No. 518-073. Back to the Roots (BTTR) is a start-up with a... View Details
- 2020
- Working Paper
Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
- July 9, 2019
- Article
Common Knowledge, Coordination, and Strategic Mentalizing in Human Social Life
By: Julian De Freitas, Kyle A. Thomas, Peter DiScioli and Steven Pinker
People often coordinate for mutual gain, such as keeping to opposite sides of a stairway, dubbing an object or place with a name, or assembling en masse to protest a regime. Because successful coordination requires complementary choices, these opportunities raise the... View Details
- July 2019 (Revised November 2019)
- Case
Osaro: Picking the Best Path
By: William R. Kerr, James Palano and Bastiane Huang
The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details
Keywords: Artificial Intelligence; Machine Learning; Robotics; Robots; Ecommerce; Fulfillment; Warehousing; AI; Startup; Technology Commercialization; Business Startups; Entrepreneurship; Logistics; Order Taking and Fulfillment; Information Technology; Commercialization; Learning; Complexity; Competition; E-commerce
- June–July 2019
- Article
A Methodology for Operationalizing Enterprise IT Architecture and Evaluating Its Modifiability
By: Robert Lagerström, Alan MacCormack, David Dreyfus and Carliss Y. Baldwin
Recent contributions to information systems theory suggest that the primary role of a firm’s information technology (IT) architecture is to facilitate, and therefore ensure the continued alignment of a firm’s IT investments with a constantly changing business... View Details