Publications
Publications
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(4,401)
- Faculty Publications (903)
- 2022
- Article
Is Maximising Creativity Good? The Importance of Elaboration and Internal Confidence in Producing Creative Ideas
By: Goran Calic, Elaine Mosakowski, Nick Bontis and Sébastien Hélie
While knowledge management researchers acknowledge that individuals transition from generation to implementation of ideas, these transitions are not fully understood. The current article focuses on idea elaboration – defined as the transition of an idea from an... View Details
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
- 2020
- Working Paper
Design in the Age of Artificial Intelligence
By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details
- 2021
- Working Paper
Impact Investing: A Theory of Financing Social Enterprises
By: Benjamin N. Roth
I present a model of financing social enterprises to delineate the role of impact investors relative to “pure” philanthropists. I characterize the optimal scale and structure of a social enterprise when financed by grants, and when financed by investments. Impact... View Details
- February 2020
- Article
The Many Minds Problem: Disclosure in Dyadic vs. Group Conversation
By: Gus Cooney, Adam M. Mastroianni, Nicole Abi-Esber and Alison Wood Brooks
What causes people to disclose their preferences or withhold them? Declare their love for each other or keep it a secret? Gossip with a coworker or bite one’s tongue? We argue that to understand disclosure, we need to understand a critical and often overlooked aspect... View Details
- Article
A Theories-in-Use Approach to Building Marketing Theory
By: G. Zaltman, Valarie A. Zeithaml, Bernard Jaworski, Ajay K. Kohli, Kapil R. Tuli and Wolfgang Ulaga
This article’s objective is to inspire and provide guidance on the development of marketing knowledge based on the theories-in-use (TIU) approach. The authors begin with a description of the TIU approach and compare it with other inductive and deductive research... View Details
- May 2020
- Article
Scalable Holistic Linear Regression
By: Dimitris Bertsimas and Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
- November 2019
- Supplement
Hapag-Lloyd AG: Complying with IMO 2020
By: Benjamin C. Esty, Mette Fuglsang Hjortshoej and Emer Moloney
A new environmental regulation known as IMO 2020 was creating what one industry analyst called “the biggest shakeup for the oil and shipping industries in decades.” According to the new regulation, all ocean-going ships would have to limit their sulfur emissions by... View Details
- November 2019
- Case
Hapag-Lloyd AG: Complying with IMO 2020
By: Benjamin C. Esty, Mette Fuglsang Hjortshoej and Emer Moloney
A new environmental regulation known as IMO 2020 was creating what one industry analyst called “the biggest shakeup for the oil and shipping industries in decades.” According to the new regulation, all ocean-going ships would have to limit their sulfur emissions by... View Details
- 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
- 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