nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2020‒11‒02
three papers chosen by
Laura Ştefănescu
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. The Influence of Knowledge Management Processes on Intellectual Capital and Innovation Performance By Wendra Wendra
  2. Risk Exposure and Acquisition of Macroeconomic Information By Christopher Roth; Sonja Settele; Johannes Wohlfart
  3. Neuroeconomics: reliable, scientifically legitimate and useful knowledge for economists? By Daniel Serra

  1. By: Wendra Wendra (PPM School of Management, Indonesia Author-2-Name: Fadhliah M. Alhadar Author-2-Workplace-Name: Khairun University, Jalan Pertamina Kampus II Unkhair, Gambesi, 97719, Ternate, Indonesia Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)
    Abstract: Objective - Low amounts of management research have taken into account the link between knowledge management processes and intellectual capital in innovation success. This study empirically investigates the mediation role of intellectual capital in the relationship between knowledge management processes and innovation performance. Methodology/Technique - The research questionnaires were distributed to 297 small and medium enterprises wearing apparel companies in Indonesia. The primary statistic methodology for data analysis was Partial Least Square. Findings - The study found that knowledge management processes and intellectual capital significantly influence innovation performance. Furthermore, intellectual capital mediated knowledge management processes impact on innovation performance partially Novelty - IC partially mediates the impact of knowledge management processes on innovation performance. Type of Paper - Empirical.
    Keywords: Knowledge Management Processes; Intellectual Capital; Innovation Performance; Small and Medium Enterprises; Wearing Apparel Companies.
    JEL: L67 L25 M19
    Date: 2020–09–30
  2. By: Christopher Roth; Sonja Settele; Johannes Wohlfart
    Abstract: We conduct an experiment with a representative sample from the US to study households’ demand for macroeconomic information. Respondents who learn of a higher personal exposure to unemployment risk during recessions increase their demand for an expert forecast about the likelihood of a recession. Our findings are consistent with the basic premise of theories of rational inattention that demand for information depends on its expected benefit. Moreover, the fact that perceived risk exposure responds to information highlights frictions in households’ knowledge about the personal relevance of particular pieces of information. Our findings inform the modeling of information frictions in macroeconomics.
    Keywords: risk exposure, macroeconomic conditions, information acquisition, experiment
    JEL: D12 D14 D83 D84 E32 G11
    Date: 2020
  3. By: Daniel Serra (CEE-M - Centre d'Economie de l'Environnement - Montpellier - FRE2010 - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)
    Abstract: Thanks to the joint collaboration of economics, psychology, and neuroscience from the late 1990s, "neuroeconomics" sheds new light on decision-making analysis. As with any emerging discipline, however, neuroeconomics raises many practical and methodological questions resulting in debates and controversies that this article discusses by addressing three major issues concerning the contribution made so far to knowledge: Is it reliable? Is it scientifically legitimate? Is it useful for the economist? Without claiming to be exhaustive, this analytical framework enables understanding of the thrust of the major criticisms of neuroeconomics and at the same time the nature of the likely responses.
    Keywords: Decision-making processes,Neuroscience methods,Brain data,Design of experiments,Economic methodology,Philosophy of science,Computational models,Quantitative research
    Date: 2020–10–02

This nep-knm issue is ©2020 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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