nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2020‒10‒19
five papers chosen by
Laura Ştefănescu
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Experience-based know-how, learning and innovation in German SMEs: An explorative analysis of the role of know-how in different modes of innovation By Alhusen, Harm
  2. Building Knowledge Economies in Africa: An Introduction By Asongu, Simplice; Kuada, John
  3. Intangible capital indicators based on web scraping of social media By Breithaupt, Patrick; Kesler, Reinhold; Niebel, Thomas; Rammer, Christian
  4. Tapping into Talent: Coupling Education and Innovation Policies for Economic Growth By Ufuk Akcigit; Jeremy G. Pearce; Marta Prato
  5. The role of domestic-firm knowledge in foreign R&D collaborations: Evidence from co-patenting in Indian firms By Mathew, Nanditha; Napolitano, Lorenzo; Rizzo, Ugo

  1. By: Alhusen, Harm
    Abstract: The 'doing-using-interacting mode' of innovation (DUI) is considered an important component of innovative activity. It describes informal innovative activities and complements the 'science-technology-innovation mode' (STI) which is based on research and development. A common demarcation criterion between both modes of innovation is the relevance of experiencebased knowledge, know-how and know-who for the DUI mode of innovation whereas the STI mode of innovation is said to rely on codified knowledge, know-what and know-why. Based upon 81 in-depth interviews with German SMEs and regional innovation consultants, this work focuses on the role of experience-based know-how for SMEs innovations within different modes of innovation. Experience-based know-how is found to be important for all modes of innovation, regardless of an SMEs mode of innovation. Results from qualitative interviews show that firms view experience-based know-how as important for at least one of the following domains: product innovation, business process innovation & organizational routines and customer knowledge. However, the acquisition, transfer and transformation of experience-based know-how can strongly differ, depending on the respective mode of innovation. As a recommendation, the idea that know-how is a suitable demarcation criterion for modes of innovation should be revised in future research.
    Keywords: DUI,STI,tacit knowledge,experience-based knowledge,learning processes,modes of innovation
    JEL: O3 O30 O31 R10
    Date: 2020
    URL: http://d.repec.org/n?u=RePEc:zbw:ifhwps:272020&r=all
  2. By: Asongu, Simplice; Kuada, John
    Abstract: Knowledge has emerged as a fundamental driver of economic growth and development by inter alia improving the effectiveness and efficiency of economic projects and boosting the process of finding new avenues of addressing developmental policy syndromes. Recent evidence suggests that Africa is on the threshold of significant and sustainable economic growth if its human and material resources can be effectively mobilised to support the process (Kuada & Mensah, 2017; Asongu & Tchamyou, 2019). Consequently, the World Bank’s Knowledge Economy Framework aims to explore and support the extent to which current policies in African countries affect the knowledge development process (and thereby competitiveness) on the continent. A knowledge economy is an economy in which economic prosperity largely depends on the accessibility, quality and quantity of information available, instead of the means of production (Asongu, 2017a, 2017b). This themed issue of Contemporary Social Science-‘Building Knowledge Economies in Africa’ - consists of papers that focus on, but are not limited to, the four dimensions of the World Bank’s Knowledge Economy Index. These are: information and communication technology, education, economic incentives and institutional regime, and innovation (Tchamyou, 2017). The themed issue engages with high quality contributions which, taken together, address the drivers towards knowledge-based economies. This introduction provides a context for understanding the importance of building knowledge economies in Africa and summarises the main contributions to the themed issue. The paper ends by advising scholars and policy makers regarding the risks associated with a colonial view of knowledge- notably the importance of proposing knowledge-based policies while avoiding hegemonic paradigms and hierarchical constructs. In summary, the issue consists of a set of theoretically informed, empirically robust, policy-relevant and accessible articles for both specialists and non-specialists.
    Keywords: Knowledge economy; Development; Africa
    JEL: O10 O30 O38 O55 O57
    Date: 2020–01
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:103136&r=all
  3. By: Breithaupt, Patrick; Kesler, Reinhold; Niebel, Thomas; Rammer, Christian
    Abstract: Knowledge-based capital is a key factor for productivity growth. Over the past 15 years, it has been increasingly recognised that knowledge-based capital comprises much more than technological knowledge and that these other components are essential for understanding productivity developments and competitiveness of both firms and economies. We develop selected indicators for knowledge-based capital, often denoted as intangible capital, on the basis of publicly available data from online platforms. These indicators based on data from Facebook and the employer branding and review platform Kununu are compared by OLS regressions with firm-level survey data from the Mannheim Innovation Panel (MIP). All regressions show a positive and significant relationship between survey-based firm-level expenditures for marketing and on-the-job training and the respective information stemming from the online platforms. We therefore explore the possibility of predicting brand equity and firm-specific human capital with machine learning methods.
    Keywords: Web Scraping,Knowledge-Based Capital,Intangibles
    JEL: C81 E22 O30
    Date: 2020
    URL: http://d.repec.org/n?u=RePEc:zbw:zewdip:20046&r=all
  4. By: Ufuk Akcigit; Jeremy G. Pearce; Marta Prato
    Abstract: How do innovation and education policy affect individual career choice and aggregate productivity? This paper analyzes the various layers that connect R&D subsidies and higher education policy to productivity growth. We put the development of scarce talent and career choice at the center of a new endogenous growth framework with individual-level heterogeneity in talent, frictions, and preferences. We link the model to micro-level data from Denmark and uncover a host of facts about the links between talent, higher education, and innovation. We use these facts to calibrate the model and study counterfactual policy exercises. We find that R&D subsidies, while less effective than standard models, can be strengthened when combined with higher education policy that alleviates financial frictions for talented youth. Education and innovation policies not only alleviate different frictions, but also impact innovation at different time horizons. Education policy is also more effective in societies with high income inequality.
    JEL: J24 O31 O38 O47
    Date: 2020–09
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:27862&r=all
  5. By: Mathew, Nanditha (UNU-MERIT); Napolitano, Lorenzo (Joint Research Center (JRC), European Commission); Rizzo, Ugo (Department of Mathematics and Computer Science, University of Ferrara)
    Abstract: In this paper we analyze the impact of foreign R&D collaborations on the performance of domestic firms and how the relationship is augmented by the pre-existing capabilities of the domestic firms. Using data on Indian firms, we study patterns of co-invention of Indian firms with foreign partners. The results from a causal mediation analysis confirm the crucial role played by domestic firms' absorptive capacity in enhancing the benefits from a foreign collaboration. The evidence we present in this work highlights the microeconomics behind the process of technological capability accumulation and catching up in developing countries.
    Keywords: Co-patenting, Foreign Collaboration, Absorptive Capacity, Capability accumulation, Corporate Performance
    JEL: D24 L20 O12 O32 O33 O34
    Date: 2020–10–05
    URL: http://d.repec.org/n?u=RePEc:unm:unumer:2020044&r=all

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.
General information on the NEP project can be found at http://nep.repec.org. For comments please write to the director of NEP, Marco Novarese at <director@nep.repec.org>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.