nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2019‒09‒23
four papers chosen by
Laura Ştefănescu
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Looking forward via the Past: An Investigation of the Evolution of the Knowledge Base of Robotics Firms. By Estolatan, Eric; Geuna, Aldo
  2. Sharing Research with Pleasure (ShaRP) and Sharing Knowledge Forward (SKF) to Peers – A SKEMA1 Initiative By Isabelle Walsh; Amitabh Anand
  3. Adaptability of Digital Technologies to Sustainable Construction Practices In Sri Lanka By Terans Gunawardhana; Kanchana Perera
  4. How skills and parental valuation of education influence human capital acquisition and early labor market return to human capital in Canada By Kottelenberg, Michael J.; Lehrer, Steven F.

  1. By: Estolatan, Eric; Geuna, Aldo (University of Turin)
    Abstract: The case studies described in this paper investigate the evolution of the knowledge bases of the two leading EU robotics firms - KUKA and COMAU. The analysis adopts an evolutionary perspective and a systems approach to examine a set of derived patent-based measures to explore firm behavior in technological knowledge search and accumulation. The investigation is supplemented by analyses of the firms' historical archives, firm strategies and prevailing economic context at selected periods. Our findings suggest that while these enterprises maintain an outwardlooking innovation propensity and a diversified knowledge base they tend to have a higher preference for continuity and stability of their existing technical knowledge sets. The two companies studied exhibit partially different responses to the common and on-going broader change in the robotics industry (i.e. the emergence of artificial intelligence and ICT for application to robotics); KUKA is shown to be more outward-looking than COMAU. Internal restructuring, economic shocks and firm specificities are found to be stronger catalysts of change than external technology-based stimuli.
    Date: 2019–06
  2. By: Isabelle Walsh (SKEMA Business School); Amitabh Anand (SKEMA Business School)
    Abstract: This project is not the project of one or several professors. First and foremost, it is the project of an institution: SKEMA Business School. Through the name that was chosen for our school (SKEMA = School of Knowledge, Economy and Management), it has been made obvious that knowledge has an essential place in SKEMA and is its main driver. In such a project, it is essential to pay tribute to all direct and indirect contributors and facilitators because each "node" of the resulting knowledge network is, indeed, essential for its survival and expansion. It is also important to highlight the essential role of our Dean, Alice Guilhon. This project would never have been born if she had not seen in it much more than some unrealistic idealism, if she had not considered the possible potency of the resulting knowledge network and, also, if she had not provided the means to institutionalize and encourage the simple endeavour of a few professors. The project highlights the importance of sharing knowledge with pleasure in a peer network and how this type of network positively encourages sharing knowledge forward.
    Date: 2018–09–05
  3. By: Terans Gunawardhana; Kanchana Perera
    Abstract: Enormous literature sources suggest that with the development of digital technologies many industries tend to change their business models, strategies and applications. Accordingly, some scholars argue that the construction industries are facing significant challenges as more processes are digitised and automated. Therefore, this study focused on reviewing how developing technologies affect the sustainability of future construction industry. The research aimed to examine the adaptability of digital technologies in the future of the Sri Lankan construction industry. In this study, the objectives were formulated as, to identify the current level of application of modern technologies towards sustainable practices in Sri Lankan construction industry, to determine the possible developments in advanced technologies towards sustainable practices in Sri Lankan construction industry, and explore the potential issues of modern technologies Sustainable practices in Sri Lankan construction industry and solutions for them. The qualitative approach was adapted to attain the aim and objectives of the research. A content analysis was done to analyse the responses received from semi-structured interviews and validated through the stakeholder analysis. One of significant findings of the research indicate that lack of awareness about the advantages of adopting technologies in construction industry activities has become a severe problem, in this case, actions should be taken to increase the knowledge of the entire industry. There were some identified limitations throughout the whole research process. Mainly, time was recognised as a crucial boundary for the research, especially for data collection process. However, these study results suggest to carry out some research in the future to assess effect through economic, social and environmental aspects of technologies used in the construction industry and to develop a framework to understand the future role of each expert in Sri Lankan construction industry due to due to changes in technologies.
    Keywords: Big data; Construction Industry; Digital Technologies; sustainability; Technologies Adaptability
    JEL: R3
    Date: 2019–01–01
  4. By: Kottelenberg, Michael J.; Lehrer, Steven F.
    Abstract: Using the Youth in Transition Survey we estimate a Roy model with a three dimensional latent factor structure to consider how parental valuation of education, cognitive skills and non-cognitive skills in uence endogenous schooling decisions and subsequent labour market outcomes in Canada. We find the effect of cognitive skills on adult incomes arises by increasing the likelihood of obtaining further education. Further, we find that both non-cognitive skills and parental valuation for education play a larger role in determining income at age 25 than cognitive skills. Last, our analysis uncovers striking differences between men and women in several of the estimated relationships. Specifically, simulations of the estimated model illustrate that i) among the low skilled, women have much higher college graduation rates, ii) the age 25 earnings gradient by either skill measure is much atter for women, and iii) parental valuation of education plays a larger role in in uencing young women than men.
    Date: 2019

This nep-knm issue is ©2019 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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NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.