Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Knowledge Management in Organizations - A Bibliometric Analysis of Research Trends Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Modelling Knowledge Spillover Effects Using Moderated and Mediation Analysis – The Case of Czech High-Tech Industries

verfasst von : Jan Stejskal, Petr Hajek

Erschienen in: Knowledge Management in Organizations

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper presents a new perspective on the evaluation of the contribution of high-tech industries. Standard macroeconomic indicators are not used in the evaluation, but rather the influence and importance of high-tech industries are analysed with the help of their spillover effects and the ability to create innovations. These are difficult to measure effects which significantly affect other businesses. Likewise, these high-tech industries are affected by the very businesses they work with. This paper presents evidence that if high-tech industries do not cooperate with other businesses and acquire their information only from internal sources, the result will be the creation of the smallest spillover effects. In the event, collaboration with universities and research institutions creates the greatest indirect effects. Furthermore, it was found that the most direct influence on innovative activities is information obtained on current markets. The paper presents evidence that drawing government aid or aid from EU funds has no effect on the creation of knowledge spillover effects in high-tech industries.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Technology Monitoring System to Improve the Competitiveness and Innovation in Colombian Companies
Nächstes Kapitel Indigenous Knowledge and Socioeconomic Development: Indigenous Tourism in Kenya
Literatur
1.
Daly, H.E.: Ecological Economics and the Ecology of Economics: Essays in Criticism. Edward Elgar, Cheltenham (1999)
2.
Gerybadze, A., Reger, G.: Globalization of R&D: recent changes in the management of innovation in transnational corporations. Res. Policy 28(2), 251–274 (1999)CrossRef
3.
Lambin, E.F., Meyfroidt, P.: Global land use change, economic globalization, and the looming land scarcity. Proc. Natl. Acad. Sci. 108(9), 3465–3472 (2011)CrossRef
4.
Aggarwal, R.: Developing a global mindset: integrating demographics, sustainability, technology, and globalization. J. Teach. Int. Bus. 22(1), 51–69 (2011)CrossRef
5.
Fujita, M., Thisse, J.F.: Economics of Agglomeration: Cities, Industrial Location, and Globalization. Cambridge University Press, Cambridge (2013)CrossRef
6.
Meinhard, S., Potrafke, N.: The globalization – welfare state nexus reconsidered. Rev. Int. Econ. 20(2), 271–287 (2012)CrossRef
7.
Stejskal, J., Hajek, P.: Competitive advantage analysis: a novel method for industrial clusters identification. J. Bus. Econ. Manag. 13(2), 344–365 (2012)CrossRef
8.
Leigh, N.G., Blakely, E.J.: Planning Local Economic Development: Theory and Practice. SAGE Publications Incorporated, London (2013)
9.
Deininger, K.: Challenges posed by the new wave of farmland investment. J. Peasant Stud. 38(2), 217–247 (2011)CrossRef
10.
Arrow, K.J., Lind, R.C.: Uncertainty and the evaluation of public investment decisions. J. Nat. Resour. Policy Res. 6(1), 29–44 (2014)CrossRef
11.
Eisner, M.A.: The American Political Economy: Institutional Evolution of Market and State. Routledge, London (2013)
12.
Lee, S.M., Hwang, T., Choi, D.: Open innovation in the public sector of leading countries. Manag. Decis. 50(1), 147–162 (2012)CrossRef
13.
Hansen, T., Winther, L.: Innovation, regional development and relations between high-and low-tech industries. Eur. Urban Reg. Stud. 18(3), 321–339 (2011)CrossRef
14.
Matatkova, K., Stejskal, J.: Descriptive analysis of the regional innovation system-novel method for public administration authorities. Transylvanian Rev. Adm. Sci. 39, 91–107 (2013)
15.
Hajek, P., Henriques, R., Hajkova, V.: Visualising components of regional innovation systems using self-organizing maps - evidence from European regions. Technol. Forecast. Soc. Change 84, 197–214 (2014)CrossRef
16.
Braguinsky, S., Klepper, S., Ohyama, A.: High-tech entrepreneurship. J. Law Econ. 55(4), 869–900 (2012)CrossRef
17.
Chesbrough, H.: Business model innovation: opportunities and barriers. Long Range Plan. 43(2), 354–363 (2010)CrossRef
18.
Camagni, R., Capello, R.: Regional Innovation patterns and the EU regional policy reform: toward smart innovation policies. Growth Change 44(2), 355–389 (2013)CrossRef
19.
Trigo, A., Vence, X.: Scope and patterns of innovation cooperation in spanish service companies. Res. Policy 41(3), 602–613 (2012)CrossRef
20.
Zeng, S.X., Xie, X.M., Tam, C.M.: Relationship between cooperation networks and innovation performance of SMEs. Technovation 30(3), 181–194 (2010)CrossRef
21.
Cao, M., Zhang, Q.: Supply chain collaboration: impact on collaborative advantage and firm performance. J. Oper. Manag. 29(3), 163–180 (2011)CrossRef
22.
Cellini, R., Lambertini, L.: Dynamic R&D with spillovers: competition vs. cooperation. J. Econ. Dyn. Control 33(3), 568–582 (2009)CrossRef
23.
Villasalero, M.: Signaling, spillover and learning effects of knowledge flows on division performance within related diversified firms. J. Knowl. Manag. 17(6), 928–942 (2013)CrossRef
24.
Frenz, M., Ietto-Gillies, G.: The impact on innovation performance of different sources of -knowledge: evidence from the UK community innovation survey. Res. Policy 38(7), 1125–1135 (2009)CrossRef
25.
Belderbos, R., Carree, M., Lokshin, B.: Cooperative R&D and firm performance. Res. Policy 33(10), 1477–1492 (2004)CrossRef
26.
Cassiman, B., Veugelers, R.: R&D cooperation and spillovers: some empirical evidence from Belgium. Am. Econ. Rev. 92(2), 1169–1184 (2002)CrossRef
27.
López, A.: Determinants of R&D cooperation: evidence from Spanish manufacturing firms. Int. J. Ind. Organ. 26(1), 113–136 (2008)CrossRef
28.
Montoro-Sánchez, A., Ortiz-de-Urbina-Criado, M., Mora-Valentín, E.M.: Effects of knowledge spillovers on innovation and collaboration in science and technology parks. J. Knowl. Manag. 15(6), 948–970 (2011)CrossRef
29.
Andreeva, T., Kianto, A.: Knowledge processes, knowledge-intensity and innovation: a moderated mediation analysis. J. Knowl. Manag. 15(6), 1016–1034 (2011)CrossRef
30.
Simonen, J., McCann, P.: Innovation, R&D cooperation and labor recruitment: evidence from Finland. Small Bus. Econ. 31(2), 181–194 (2008)CrossRef
31.
Un, C.A., Romero-Martínez, A.M., Montoro-Sanchez, A.: Determinants of R&D collaboration of service firms. Serv.Bus. 3(4), 373–394 (2009)CrossRef
32.
Mendonça, S.: Brave old world: accounting for ‘high-tech’ knowledge in ‘low-tech’ industries. Res. Policy 38(3), 470–482 (2009)CrossRef
33.
Murmann, J.P.: The Coevolution of Industries and Comparative Advantage: Theory and Evidence. Cambridge University Press, Cambridge (2003)
34.
Evangelista, R., Vezzani, A.: The economic impact of technological and organizational innovations. A Firm-Level Anal. Res. Policy 39(10), 1253–1263 (2010)
35.
Robertson, P., Smith, K.H., Von Tunzelmann, N.: Innovation in low-and medium-technology industries. Res. Policy 38(3), 441–446 (2009)CrossRef
36.
Hirsch-Kreinsen, H., Jacobson, D., Robertson, P.L.: ‘Low-tech’ industries: innovativeness and development perspectives - a summary of a European research project. Prometheus 24, 3–21 (2006)CrossRef
37.
Jaegers, T., Lipp-Lingua, C., Amil, D.: High-Technology and Medium-High Technology Industries Main Drivers of EU-27’s Industrial Growth. Statistics in Focus 1 (2013)
38.
Von Nordenflycht, A.: What is a professional service firm? Toward a theory and taxonomy of knowledge-intensive firms. Acad. Manag. Rev. 35(1), 155–174 (2010)CrossRef
39.
40.
Williams, J., MacKinnon, D.P.: Resampling and distribution of the product methods for testing indirect effects in complex models. Struct. Equ. Model. 15(1), 23–51 (2008)CrossRef
41.
Abramovsky, L., Kremp, E., López, A., Schmidt, T., Simpson, H.: Understanding co-operative innovative activity: evidence from four European countries. Econ. Innov. New Technol. 18(3), 243–265 (2009)CrossRef
42.
Spithoven, A., Clarysse, B., Knockaert, M.: Building absorptive capacity to organise inbound open innovation in traditional industries. Technovation 31(1), 10–21 (2011)CrossRef
Metadaten
Titel
Modelling Knowledge Spillover Effects Using Moderated and Mediation Analysis – The Case of Czech High-Tech Industries
verfasst von
Jan Stejskal
Petr Hajek
Copyright-Jahr
2015
Buch
Knowledge Management in Organizations

Print ISBN: 978-3-319-21008-7

Electronic ISBN: 978-3-319-21009-4

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-21009-4_25