|
on Knowledge Management and Knowledge Economy |
|
Issue of 2019‒09‒30
five papers chosen by Laura Ştefănescu Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Simplice A. Asongu (Yaoundé/Cameroon); Voxi H. S. Amavilah (REEPS, Arizona, USA); Antonio R. Andres (Ostrava, Czech Republic) |
| Abstract: | This paper develops a framework (a) to examine whether or not the African business environment hinders or promotes the knowledge economy (KE), (b) to determine how the KE affects economic performance, and (c) how economic performance relates to the inequality-adjusted human socioeconomic development (IHDI) of 53 African countries during the 1996-2010 time period. We estimate the linkages with three related equations. The results support a strong correlation between the dynamics of starting and doing business and variations in KE. The results also show that there exists a weak link between KE and economic performance. Nonetheless, KE-influenced performance plays a more important role in socioeconomic development than some of the conventional control variables like foreign direct investment (FDI), foreign aid, and even private investment. |
| Keywords: | Business Dynamics; Knowledge Economy; Economic Performance, |
| JEL: | L59 O10 O30 O20 O55 |
| Date: | 2019–01 |
| URL: | http://d.repec.org/n?u=RePEc:aby:wpaper:19/004&r=all |
| By: | Rene Belderbos; Victor Gilsing; Boris Lokshin; Martin Carree; Juan Fernández Sastre |
| Abstract: | We examine firms’ propensity to adapt their R&D collaboration portfolio by establishing new types of R&D collaboration with different kinds of partners (suppliers, customers, competitors and universities & public research institutions). We argue that existing R&D collaboration with one of the two value chain partners (suppliers or customers) is associated with the formation of new R&D collaboration with the other value chain partner to ensure temporal alignment in innovation within the value chain. In contrast, issues related to governance and unintended knowledge spillovers suggest that ‘horizontal’ R&D collaboration with competitors only spurs R&D collaboration with other partner types if such competitor R&D collaboration has been discontinued earlier (‘delayed temporal alignment’). We posit that persistent prior R&D collaboration with institutional partners is an antecedent to the establishment of new R&D collaboration with industrial partners, and that discontinuation of a particular type of R&D collaboration is likely to lead to a restart of such R&D collaborative effort. Strong prior innovative performance is expected to increase the probability that firms establish R&D collaborations with new partner types, except for R&D collaboration with competitors, since the most innovative firms may fear leakage of proprietary knowledge to rivals. We find broad support for these predictions in a large panel of Spanish innovating firms (2004-2011). Our findings highlight that it is not just the configuration of R&D collaborations with existing partner types that predicts tie formation with new partner types, but also the intertemporal pattern of prior R&D collaboration and managerial discretion provided by past innovation success. |
| Date: | 2017–10 |
| URL: | http://d.repec.org/n?u=RePEc:ete:msiper:596672&r=all |
| By: | Anthony Di Benedetto (Fox School of Business); Shikhar Sarin (Boise State University); Mustapha Belkhouja (GEM - Grenoble Ecole de Management); Christophe Haon (GEM - Grenoble Ecole de Management) |
| Date: | 2018 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:halshs-01786865&r=all |
| By: | Proeger, Till; Runst, Petrik |
| Abstract: | The Knowledge Spillover Theory of Entrepreneurship (KSTE) considers determinants of knowledge diffusion as well as their impact on entrepreneurial activities and growth. Extending the KSTE, the role of incumbent firms for the broad diffusion of new knowledge has been emphasized. For those firms, the barriers to an effective flow of information are considered using the concepts of knowledge filters and absorptive capacities. Both concepts enable the derivation of institutional measures to penetrate knowledge filters and systematically increase absorptive capacities. We interpret the process of digitization as a central process of knowledge spillover in recent years and determine digitization-related knowledge filters for particular domains of firm decision-making. Using a consultant-based in-depth evaluation of 200 SMEs conducted in the context of a federal innovation program, structural drivers, firm clusters and domain-specific knowledge filters for digitization are determined. We find little evidence for structural drivers of knowledge spillover effectiveness. However, as firms are clustered according to their digitization pattern, we show that firms realize high degrees of digitization in most domains or in none, leading us to argue that domain-specific knowledge filters are weak. Rather, knowledge spillover in digitization can be considered a process with initially strong general knowledge filter and - once this filter has been penetrated - weaker subsequent domain-specific knowledge filters. Policy and managerial implications for increasing digitization-related knowledge spillovers in SMEs are discussed. |
| Keywords: | Digitization,Knowledge Filter,Knowledge Spillover Theory of Entrepreneurship,Small and Medium Enterprises |
| JEL: | D21 D82 H41 K23 L14 |
| Date: | 2019 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:ifhwps:202019&r=all |
| By: | Caroline Paunov (OECD); Martin Borowiecki (OECD); Nevine El-Mallakh (Université Paris 1 Panthéon-Sorbonne) |
| Abstract: | This paper presents preliminary evidence on the patenting activities of 21 200 research institutions - 20 091 higher education institutions (HEIs) and 1 109 public research institutes (PRIs) - for 36 OECD countries and China from 1992 to 2014. Our evidence, which builds on a database that matches research institutions to a sample of their patent applications, indicates patent applications to the European Patent Office (EPO) filed by research institutions grew faster than industry patents. Those jointly filed by industry and research institutions grew even faster. However, research institutions’ share in patent applications remains low and their ratio of patents granted to applications is below that of industry. An econometric analysis at postal code level shows that geographical proximity to research institutions is associated with higher industry patenting. Results from an instrumental variable estimation indicate that research institutions positively influence local industry patenting, including in life sciences and digital technologies. |
| Keywords: | China, Higher education institutions (HEIs), innovation, local knowledge spillovers, OECD countries, patents, public research institutes (PRIs), universities |
| JEL: | I23 O31 O34 |
| Date: | 2019–09–24 |
| URL: | http://d.repec.org/n?u=RePEc:oec:stiaac:77-en&r=all |