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- 2020
- Working Paper
Iterative Coordination and Innovation
By: Sourobh Ghosh and Andy Wu
Agile management practices from the software industry continue to transform the way organizations innovate across industries, yet they remain understudied in the organizations literature. We investigate the widespread Agile practice of iterative coordination: frequent... View Details
- 2020
- Chapter
Foreign Direct Investment, Finance and Economic Development
By: Laura Alfaro and Jasmina Chauvin
Research has sought to understand how foreign direct investment affects host economies. This paper reviews the empirical literature, specifically addressing the question: How does FDI affect economic development of host countries and what is the role of local financial... View Details
- May 2020
- Article
Identifying Sources of Inefficiency in Health Care
By: Amitabh Chandra and Douglas O. Staiger
In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details
- May 2020
- Article
Measuring Collaboration in Modern Organizations
By: Stephen Michael Impink, Andrea Prat and Raffaella Sadun
Internal communication has been a central theme in organizational economics, as employee collaboration provides insight into the structure of firms. Use of electronic communications data can be transformational for organizational economics, as these data provide a... View Details
- Article
The Price of Anarchy of Self-Selection in Tullock Contests
By: Hau Chan, David C. Parkes and Karim R. Lakhani
Crowdsourcing platforms operate by offering their clients the ability to obtain cost-effective solutions for their problems through contests. The top contestants with the best solutions are rewarded, and the submitted solutions are provided to the clients. Within the... View Details
- April 2020
- Article
Long-term Firm Growth: An Empirical Analysis of U.S. Manufacturers 1959–2015
By: Giovanni Dosi, Marco Grazzi, Daniele Moschella, Gary P. Pisano and Federico Tamagni
Firm growth is an essential feature of market economies, shaping together macroeconomic performance and the evolution of industry structures. As a potential indicator of organizational “fitness” within a competitive environment, firm growth is also a central concern to... View Details
Keywords: Firm Growth; Organizations; Growth and Development; Theory; Analysis; Production; Data and Data Sets
- 2020
- Working Paper
Sticky Capital Controls
By: Miguel Acosta-Henao, Laura Alfaro and Andres Fernandez
There is much ongoing debate on the merits of capital controls as effective policy instruments. The differing perspectives are due in part to a lack of empirical studies that look at the intensive margin of controls, which in turn has prevented a quantitative... View Details
- 2020
- Working Paper
On the Representativeness of Voter Turnout
By: Louis Kaplow and Scott Duke Kominers
Prominent theory research on voting uses models in which expected pivotality drives voters' turnout decisions and hence determines voting outcomes. It is recognized, however, that such work is at odds with Downs's paradox: in practice, many individuals turn out for... View Details
- March 2020
- Case
Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire
By: Ayelet Israeli, Danilo Tauro and Sarah Gulick
This case provides a post-mortem of the advertising technology (adtech) company Sizmek. Sizmek grew via multiple acquisitions, with the vision of becoming an integrated adtech company that could leverage AI to buy digital media, while creating and serving display and... View Details
- March 2020
- Article
A Revolution in Economics? It's Just Getting Started...
By: Shawn A. Cole, William Pariente and Anja Sautmann
We have each experienced thrills and pain while supporting the mission of the Abdul Latif Jameel Poverty Action Lab, which facilitated many of the experiments described in the 2019 Nobel Prize citation. J-PAL in many ways seeks to fulfill what Angrist and Pischke... View Details
- Article
History-informed Strategy Research: The Promise of History and Historical Research Methods in Advancing Strategy Scholarship
By: Nicholas Argyres, Alfredo De Massis, Nicolai J. Foss, Federico Frattini, Geoffrey Jones and Brian Silverman
Recent years have seen an increasing interest in the use of history and historical research methods in strategy research. This article discusses how and why history and historical research methods can enrich theoretical explanations of strategy phenomena. The article... View Details
- March 2020
- Article
Organizing Knowledge Production Teams Within Firms for Innovation
By: Vikas A. Aggarwal, David H. Hsu and Andy Wu
How should firms organize their pool of inventive human capital for firm-level innovation? While access to diverse knowledge may aid knowledge recombination, which can facilitate innovation, prior literature has focused primarily on one way of achieving that: diversity... View Details
- March 2020
- Article
Which Early Withdrawal Penalty Attracts the Most Deposits to a Commitment Savings Account?
By: John Beshears, James J. Choi, Christopher Harris, David Laibson, Brigitte C. Madrian and Jung Sakong
Previous research has shown that some people voluntarily use commitment contracts that restrict their own choice sets. We study how people divide money between two accounts: a liquid account that permits unrestricted withdrawals and a commitment account that is... View Details
- 2019
- Article
Go-Shops Revisited
By: Guhan Subramanian and Annie Zhao
A go-shop process turns the traditional M&A deal process on its head: rather than a pre-signing market canvass followed by a post-signing “no shop” period, a go-shop deal involves a limited pre-signing market check, followed by a post-signing “go shop” process to find... View Details
- 2020
- Working Paper
The Effects of Information on Credit Market Competition: Evidence from Credit Cards
By: C. Fritz Foley, Agustin Hurtado, Andres Liberman and Alberto Sepulveda
We show empirically that public credit information increases competition in credit markets. We access data that cover all credit card borrowers in Chile and include details about relationship borrowers have with each lender. We exploit a natural experiment whereby a... View Details
- 2020
- Book
Business, Ethics and Institutions: The Evolution of Turkish Capitalism in Global Perspectives
By: Asli M. Colpan and Geoffrey Jones
This book is the first systematic scholarly study on the business history of Turkey and its predecessor the Ottoman Empire from the nineteenth century until the present. It places the distinctive characteristics of capitalism in Turkey within a global and comparative... View Details
- January 2020
- Article
Rethinking Measurement of Pay Disparity and Its Relation to Firm Performance
By: Ethan Rouen
I develop measures of firm-level pay disparity and examine their relation to firm performance. Using comprehensive compensation data for a large sample of firms, I find no statistically significant relation between the ratio of CEO-to-mean employee compensation and... View Details
- December 2019
- Article
Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility
By: Alfred Galichon, Scott Duke Kominers and Simon Weber
We introduce an empirical framework for models of matching with imperfectly transferable utility and unobserved heterogeneity in tastes. Our framework allows us to characterize matching equilibrium in a flexible way that includes as special cases the classic fully- and... 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