nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2018‒11‒19
three papers chosen by
Laura Ştefănescu
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Firm R&D Investment and Export Market Exposure By Bettina Peters; Mark J. Roberts; Van Anh Vuong
  2. Strategies to Reduce Knowledge Leakage: A Knowledge Absorptive Capacity-Based Framework By Saliha Ziam; Pierre-Emmanuel Arduin; Dargos Vieru
  3. The role of farmers innovative behavior and social responsibility practices in technology adoption in apple and blueberry farmers in the Central Region of Chile. By Engler, A.; Rodriguez, M.F.; Cofr, G.

  1. By: Bettina Peters; Mark J. Roberts; Van Anh Vuong
    Abstract: In this article we study differences in the returns to R&D investment between firms that sell in international markets and firms that only sell in the domestic market. We use German firm-level data from the high-tech manufacturing sector to estimate a dynamic structural model of a firm's decision to invest in R&D and use it to measure the difference in expected long-run benefit from R&D investment for exporting and domestic firms. The results show that R&D investment leads to a higher rate of product and process innovation among exporting firms and these innovations have a larger impact on productivity improvement in export market sales. As a result, exporting firms have a higher payoff from R&D investment, invest in R&D more frequently than firms that only sell in the domestic market, and, subsequently, have higher rates of productivity growth. The endogenous investment in R&D is an important mechanism that leads to a divergence in the long-run performance of firms that differ in their export market exposure. Simulating the introduction of trade tariffs we find a substantial reduction in firms' productivity growth and incentive to invest in R&D.
    JEL: F14 L25 O3
    Date: 2018–11
  2. By: Saliha Ziam (TÉLUQ - Télé-Université - Université de Lille, Sciences Humaines et Sociales); Pierre-Emmanuel Arduin (DRM - Dauphine Recherches en Management - Université Paris-Dauphine - CNRS - Centre National de la Recherche Scientifique); Dargos Vieru (TÉLUQ - Télé-Université - Université de Lille, Sciences Humaines et Sociales)
    Abstract: As a strategic resource, knowledge must be shared across organizational structures in order to increase users' ability to retain it and re-create it. In an organizational context, hackers may convince individuals to share sensitive data with them through social engineering methodologies. This situation may generate dramatic information security issues given that individuals are unprepared to anticipate the security breaches that may emerge from their actions and the potential impact of these infringements on organizations. Based on a systematic literature review, this theoretical study proposes a framework that enables us to better identify the necessary skills users need in order to acquire and securely share sensitive knowledge in their work environment.
    Keywords: Knowledge sharing,Information and Knowledge System,Knowledge absorptive capacity,Security violation,User skills.
    Date: 2018
  3. By: Engler, A.; Rodriguez, M.F.; Cofr, G.
    Abstract: For the Chilean economy, the blueberry and apple sector have an important role regarding production and employment. To remain competitive in the export supply chain, farmers require to adjust to more efficient and productive systems. One important way to increase agricultural productivity is through the introduction of improved agricultural technologies and management systems. In particular, the study focuses on how levels of innovation, measured by complexity and investments requirements of the adopted technologies, relates to innovative behavior and complying with social responsibility practices, as two indicators of the farmer's behavior towards innovation. A typology of farmers with different technological levels was constructed based on multivariate techniques, according to the adoption of seven technologies. Findings showed three clusters: cluster I of high technology farms (32.2%), cluster II of farms with complex and low-cost technologies (27%), and cluster III of farms with low technology (40.68%). Within the cluster, it was identified that cluster I, farmers have a positive attitude toward innovation and the highest SR implementation rates. The farmers from cluster I were similar from cluster II in structural variables, but they significantly differ in innovative behavior attitudes. Cluster III, significantly differ with cluster I in structural variables, behavioral variables, and SR practices. The results showed the heterogeneity among farmers and the complexity of the adoption decision-making process shading lights on policy design to enhance innovation, research and technology transfer among farmers Acknowledgement :
    Keywords: Crop Production/Industries
    Date: 2018–07

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