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R&D intensity, value appropriation and integration patterns within organizational boundaries

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  • Hashai, Niron
  • Almor, Tamar

Abstract

Complementary insights from Transaction Cost Economics (TCE) and the Resource-Based View (RBV) of the firm are combined to predict the relationship between firm specific technological knowledge and patterns of integration within organizational boundaries. The findings show that the level of Research and Development (R&D) intensity (representing the creation of firm specific technological knowledge) has an inverted U-shaped relationship with the propensity of firms to integrate activities within organizational boundaries. At low levels of R&D intensity, firms' propensity to integrate their activities is low, but increases with escalating levels of R&D intensity in order to avoid the misappropriation of value generated by technological knowledge. However, beyond a certain R&D intensity level, the propensity to integrate activities declines, since the level of technological knowledge is high enough to prevent imitation by third parties. As expected we further find that firms which follow this integration pattern outperform those which do not. As the level of R&D intensity increases, the integration of production and marketing activities enables firms to improve performance until a certain R&D intensity threshold, after which such integration negatively affects performance.

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  • Hashai, Niron & Almor, Tamar, 2008. "R&D intensity, value appropriation and integration patterns within organizational boundaries," Research Policy, Elsevier, vol. 37(6-7), pages 1022-1034, July.
  • Handle: RePEc:eee:respol:v:37:y:2008:i:6-7:p:1022-1034
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    4. Abraham Garcia, 2011. "The relevance of marketing in the success of innovations," JRC Working Papers on Corporate R&D and Innovation 2011-09, Joint Research Centre.
    5. Yan Zhao & Hui Sun & Xuechao Xia & Dianyuan Ma, 2023. "Can R&D Intensity Reduce Carbon Emissions Intensity? Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    6. Li, Yaya & Zhang, Yuru & Pan, An & Han, Minchun & Veglianti, Eleonora, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Technology in Society, Elsevier, vol. 70(C).
    7. Martínez-Noya, Andrea & García-Canal, Esteban, 2021. "Innovation performance feedback and technological alliance portfolio diversity: The moderating role of firms’ R&D intensity," Research Policy, Elsevier, vol. 50(9).
    8. Oladottir, Asta Dis & Hobdari, Bersant & Papanastassiou, Marina & Pearce, Robert & Sinani, Evis, 2012. "Strategic complexity and global expansion: An empirical study of newcomer Multinational Corporations from small economies," Journal of World Business, Elsevier, vol. 47(4), pages 686-695.
    9. Wang, Chun-Hsien & Lu, Yung-Hsiang & Huang, Chin-Wei & Lee, Jun-Yen, 2013. "R&D, productivity, and market value: An empirical study from high-technology firms," Omega, Elsevier, vol. 41(1), pages 143-155.
    10. Niron Hashai & Christian G. Asmussen & Gabriel R. G. Benito & Bent Petersen, 2010. "Technological Knowledge Intensity and Entry Mode Diversity," Management International Review, Springer, vol. 50(6), pages 659-681, December.

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