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Kenneth Younge

Kenneth is Associate Professor in Corporate Entrepreneurship and Chair of Technology and Innovation Strategy at EPFL. He is an applied economist and data scientist, using experimental economics and machine learning methods to examine the strategic importance of patent portfolios, knowledge spillovers, financial risk disclosure, computational law, and employee mobility. His work has been published in the top journals in economics and strategy, and he is the past winner of the Strategic Management Society’s Best Conference Paper Award, the Academy of Management’s BPS Outstanding Dissertation Award, and numerous teaching awards. Prior to returning to academia, Professor Younge worked for 14 years in industry as a Chief Technology Officer, President, and Director of Development. He has co-founded four firms over the course of his career and his research aims to combine theoretical economics with real-world impact.

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Cours enseignés par cette personne (1)

Cours enseignés par cette personne

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Personnes menant des recherches similaires (131)

Personnes menant des recherches similaires

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Brevet d'invention

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Innovation

Linnovation est la recherche constante d'améliorations de l'existant, par contraste avec linvention, qui vise à créer du nouveau. Dans le domaine économique, l'innovation se traduit par la conceptio

Méthode expérimentale

Les méthodes expérimentales scientifiques consistent à tester la validité d'une hypothèse, en reproduisant un phénomène (souvent en laboratoire) et en faisant varier un paramètre. Le paramètre que l

MGT-618: Computational research methods for social sciences

The objective of this course is to introduce doctoral students to computational methods for data-driven research in the social sciences.

The United States patent system is unique in that it requires applicants to cite documents they know to be relevant to the examination of their patent applications. Lampe (2012) presents evidence that applicants strategically withhold 21-33% of relevant citations from patent examiners, suggesting that many patents are fraudulently obtained. We challenge this view. We first show that that Lampe's empirical design is inconsistent with both legal standards and standard operating procedures, including how courts identify strategic withholding. We then compile comprehensive data to reassess the empirical basis for Lampe's main claim. We find no evidence that applicants withhold citations.

2021

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Motivating Innovation: The Effect of Loss Aversion on the Willingness to Persist

Kenneth Younge

We investigate the willingness of individuals to persist at exploration in the face of failure. Prior research suggests that the organization's "tolerance for failure" may motivate greater exploration by the individual. Little is known, however, about how individuals persist at exploration in an uncertain environment when confronted by prolonged periods of negative feedback. To examine this question, we design a two-dimensional maze game and run a series of randomized experiments with human subjects in the game. Our results suggest that individuals explore more when they are reminded of the incremental cost of their actions, a result that extends prior research on loss aversion and prospect theory to environments characterized by model uncertainty. In addition, we run simulations based on a model of reinforcement learning, that extend beyond two-period models of decision-making to account for repeated behavior in longer-running, dynamic contexts.

MIT Press2020

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Patent citations reexamined

Jeffrey Kuhn, Kenneth Younge

Many studies rely on patent citations to measure intellectual heritage and impact. In this article, we show that the nature of patent citations has changed dramatically in recent years. Today, a small minority of patent applications are generating a large majority of patent citations, and the mean technological similarity between citing and cited patents has fallen considerably. We replicate several well-known studies in industrial organization and innovation economics and demonstrate how generalized assumptions about the nature of patent citations have misled the field.

WILEY2020

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