nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2022‒01‒10
three papers chosen by
Laura Ştefănescu
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Knowledge Spillovers From Superstar Tech-Firms: The Case of Nokia By Fuad Hasanov; Reda Cherif; Jyrki Ali-Yrkkö; Natalia Kuosmanen; Mika Pajarinen
  2. Addressing sustainability challenges and Sustainable Development Goals via Smart Specialisation. Towards a theoretical and conceptual framework By Michal Miedzinski; Katerina Ciampi Stancova; Monika Matusiak; Lars Coenen
  3. Learning Efficiency of Multi-Agent Information Structures By Mira Frick; Ryota Iijima; Yuhta Ishii

  1. By: Fuad Hasanov; Reda Cherif; Jyrki Ali-Yrkkö; Natalia Kuosmanen; Mika Pajarinen
    Abstract: Do workers hired from superstar tech-firms contribute to better firm performance? To address this question, we analyze the effects of tacit knowledge spillovers from Nokia in the context of a quasi-natural experiment in Finland, the closure of Nokia’s mobile device division in 2014 and the massive labor movement it implied. We apply a two-stage difference-in-differences approach with heterogeneous treatment to estimate the causal effects of hiring former Nokia employees. Our results provide new evidence supporting the positive causal role of former Nokia workers on firm performance. The evidence of the positive spillovers on firms is particularly strong in terms of employment and value added.
    Keywords: human capital, employment, value added, Nokia, difference-in-differences, heterogeneous treatment, knowledge spillovers, superstar firms.; superstar tech-firm; spillover effect; Nokia employee; superstar firm; effects from Nokia; Spillovers; Employment; Labor productivity; Positive spillovers; Human capital; Global
    Date: 2021–10–29
  2. By: Michal Miedzinski; Katerina Ciampi Stancova (European Commission - JRC); Monika Matusiak (European Commission - JRC); Lars Coenen
    Abstract: The ongoing work on addressing sustainability challenges and Sustainable Development Goals via Smart Specialisation builds on Smart Specialisation concept of place-based research and innovation agenda for regional economic transformation, and extends it further to include the UN 2030 Agenda objectives (17 SDGs), the European Green Deal and aspects of social and environmental sustainability. The purpose of this study is to reflect upon the S3 framework within the context of transition studies, notably socio-technical transitions, social-ecological resilience and challenge-driven innovation policy. The study includes discussion on the strengths and limitations of the current S3 framework and makes suggestions on how to strengthen and revisit the S3 approach based on the insights from these approaches. The study proposes the guidelines, accompanied with a self-assessment tool for regions, in support of their effort in designing and implementing smart specialisation strategies for sustainable transformation.
    Keywords: Smart Specialisation, Sustainable Development Goals, European Green Deal, transitions, resilience, innovation policy
    Date: 2021–12
  3. By: Mira Frick (Cowles Foundation, Yale University); Ryota Iijima (Cowles Foundation, Yale University); Yuhta Ishii (Department of Economics at Pennsylvania State University)
    Abstract: We study settings in which, prior to playing an incomplete information game, players observe many draws of private signals about the state from some information structure. Signals are i.i.d. across draws, but may display arbitrary correlation across players. For each information structure, we define a simple learning efficiency index, which only considers the statistical distance between the worst-informed player’s marginal signal distributions in different states. We show, first, that this index characterizes the speed of common learning (Cripps, Ely, Mailath, and Samuelson, 2008): In particular, the speed at which players achieve approximate common knowledge of the state coincides with the slowest player’s speed of individual learning, and does not depend on the correlation across players’ signals. Second, we build on this characterization to provide a ranking over information structures: We show that, with sufficiently many signal draws, information structures with a higher learning efficiency index lead to better equilibrium outcomes, robustly for a rich class of games and objective functions that are "aligned at certainty." We discuss implications of our results for constrained information design in games and for the question when information structures are complements vs. substitutes.
    Keywords: Common learning, Speed of learning, Higher-order beliefs, Comparison of information structures
    JEL: D80 D83 C70
    Date: 2021–08

This nep-knm issue is ©2022 by Laura Ştefănescu. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
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