Dergiler / Sosyoekonomi / 2013 / Cilt: 19 - Sayı: 19

The Linkage between Knowledge Intensive Innovation and Export in SMEs: An empirical study based on Turkish manufacturing SMEs

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Yayın Tarihi
2013-06-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

However, the effect of innovation on export in SMEs began decreasing noticeably after the firm reaches a certain level in R&D intensity, which was also observed.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The increasing role of SMEs in Turkish export with the share of 60 per cent has deepened the need to better understand which factors and to what extend affect export propensity of SMEs.
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Temel Bulgular & Veri:In this paper, the focus will be on the relationship between exportation and innovation, particularly knowledge-based innovation, as a significant driving factor.
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Sonuç & Katkı:However, the effect of innovation on export in SMEs began decreasing noticeably after the firm reaches a certain level in R&D intensity, which was also observed.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

The increasing role of SMEs in Turkish export with the share of 60 per cent has deepened the need to better understand which factors and to what extend affect export propensity of SMEs. In this paper, the focus will be on the relationship between exportation and innovation, particularly knowledge-based innovation, as a significant driving factor. The data were retrieved from KOSGEB and the result of the analysis demonstrated a significant relationship. However, the effect of innovation on export in SMEs began decreasing noticeably after the firm reaches a certain level in R&D intensity, which was also observed.

Abstract

The increasing role of SMEs in Turkish export with the share of 60 per cent has deepened the need to better understand which factors and to what extend affect export propensity of SMEs. In this paper, the focus will be on the relationship between exportation and innovation, particularly knowledge-based innovation, as a significant driving factor. The data were retrieved from KOSGEB and the result of the analysis demonstrated a significant relationship. However, the effect of innovation on export in SMEs began decreasing noticeably after the firm reaches a certain level in R&D intensity, which was also observed.

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Bu Makaleye Atıf Yap

METİN, F., VURGUN, L. (2013). The Linkage between Knowledge Intensive Innovation and Export in SMEs: An empirical study based on Turkish manufacturing SMEs. Sosyoekonomi, Cilt: 19 - Sayı: 19. https://ajindex.com/articles/139513

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Kaynakça (11)

  1. Aaby, N. & S.F. Slater (1989), “Management influences on Export Performance: A Review of the Empirical Literature 1978–88”, International Marketing Review, 6(4), 53–68.
  2. Buckley, P. & M. Casson (1976), The Future of the Multinational Enterprises, London: Macmillan. Chesbrough, H.W. (2003), Open innovation: The new imperative for creating and profiting from technology, Boston, Mass: Harvard Business School Press.
  3. Cohen, W.M. & R.R. Nelson & J.P. Walsh (2000), “Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (or Not)”, NBER Working Paper, W7552, National Bureau of Economic Research, Cambridge. Coskun, R. (2001), “Determinants of direct foreign investment in Turkey”, European Business Review.13(4), 221–27.
  4. Demirbas, D. (2006), “New Institutional Economy and Innovation Barriers: A Microeconometric Evidence”, The Business Review, Cambridge. 5(2), 82–88.
  5. European Commission (2003),”Commission Recommendation of 6 May 2003 concerning the definition of micro, small and medium-sized enterprises”, [SME definition: Commission Recommendation of 06 May 2003], [online], (OJ L 124), Available from:, Accessed: 23 October 2011.
  6. Ferreira, L. & D.B. Hitchcock (2009), “A Comparison of Hierarchical Methods for Clustering Functional Data”, Communications in Statistics: Simulation and Computation, 38(9), 1925–49.
  7. Freel, M.S. (2005), “Patterns of innovation and skills in small firms”, Technovation, 25(2), 123–34.
  8. Frybourg, M. (1997), “Conflict and co-operation between global market and local innovations”, the European Journal of Social Sciences, 10(3), 217–30.
  9. Griliches, Z. (1986), “Productivity, R&D, and Basic Research at the Firm Level in the 1970's”, American Economic Review, 76(1), 141. Hagedoorn, J. & M. Cloodt (2003), “Measuring Innovative Performance: Is There an Advantage in Using Multiple Indicators?”, Research Policy, 32, 1365–79.
  10. Hannan, M.T. & J. Freeman (1977), “The population ecology of organizations”, American Journal of Sociology, 82(5), 929–64. Härdle, W. & L. Simar (2003), Applied multivariate statistical analysis, Berlin: Springer. Jones, J. (2012), Stats: Correlation, [online], Richland Community College. Available from:, Accessed: 15 January 2012.
  11. Kazgan, G. (2002), Tanzimattan 21. yüzyıla Türkiye ekonomisi: Birinci küreselleşmeden ikinci küreselleşmeye, İstanbul: İstanbul Bilgi Üniversitesi. Kluver, R. (2000), Globalization. Informatization. and Intercultural Communication, [online]. Oklahoma