The closest strong efficient targets in the FDH technology: an enumeration method

This paper is concerned with the identification of the closest strong efficient target of a Decision Making Unit (DMU) in the Free Disposal Hull (FDH) technology in Data Envelopment Analysis (DEA). The paper uses the geometrical properties of the FDH Production Possibility Set (PPS) to design and test an enumeration algorithm to obtain the minimum distance from a DMU to the strong efficient frontier of the PPS, corresponding to each of the various returns to scale assumptions. The proposed method solves some simple optimization problems whose optimal solutions are obtained by calculating a limited number of ratios. Then, an attempt will be made to mitigate the problem of the lack of unit and translation invariance of the selected distances by considering weighted norms. Finally, the applicability of the presented method is illustrated by a numerical example using real data.

     

High on creativity: The impact of social liberalization policies on innovation

Research Summary: We use a large‐sample inductive approach to explore the impact of two social liberalization policies (legalization of same‐sex civil unions and medical marijuana) and one anti‐liberalization policy (passage of abortion restrictions) on innovation. First, we show that liberalization policies increase state‐level patenting, while the anti‐liberalization policy reduces patenting. Next, we examine three possible mechanisms that could explain the findings. The results suggest that liberalization policies can increase the collaboration diversity of inventors, and hence, the rate, novelty, and impact of their innovation output, through promoting more liberal views and more openness to diversity. We also find speculative evidence that social liberalization policies increase entrepreneurial entry through promoting more diverse social interactions. We do not find evidence for liberal policies attracting top inventors from other regions. Managerial Summary: How does the social context impact the rate and direction of innovation? This article examines this question by exploring the impact of two social liberalization policies (legalization of same‐sex civil unions and medical marijuana) and one anti‐liberalization policy (passage of abortion restrictions) on innovation in the United States. We first show that liberalization policies increase patenting, while the anti‐liberalization policy reduces patenting. Further analyses highlight the impact of these policies on individuals’ openness to diversity as a driving mechanism. We show that inventors collaborate with more diverse partners after the implementation of liberalization policies, producing more innovations and more novel and impactful ones. We discuss the implications for firm location decisions, the impact of corporate social responsibility on innovation, and sources of regional competitive advantage.     

The double‐edged sword of recombination in breakthrough innovation

We explore the double‐edged sword of recombination in generating breakthrough innovation: recombination of distant or diverse knowledge is needed because knowledge in a narrow domain might trigger myopia, but recombination can be counterproductive when local search is needed to identify anomalies. We take into account how creativity shapes both the cognitive novelty of the idea and the subsequent realization of economic value. We develop a text‐based measure of novel ideas in patents using topic modeling to identify those patents that originate new topics in a body of knowledge. We find that, counter to theories of recombination, patents that originate new topics are more likely to be associated with local search, while economic value is the product of broader recombinations as well as novelty. Copyright © 2014 John Wiley & Sons, Ltd.