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The determinants of successful R&D consortia: government strategy for the servitization of manufacturing

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  • Feng-Jyh Lin
  • Yi-Hsin Lin

Abstract

The Taiwanese government has started to promote the concept of the “servitization of manufacturing” with a view to accelerating the servitization of the country’s manufacturing industries. The objective is to enable Taiwan’s industries to progress from manufacturing toward innovation, R&D, and services. The main purpose of this study is to explore the factors determining the formation of R&D consortia among Taiwanese firms. In a literature review and analysis, we distinguish the factors underlying the formation of these R&D consortia into internal and external factors. The findings show that four external factors are positively significant: the degree of industry competition, the appropriability conditions of innovations, government subsidies, and cooperation between firms in different industries. Firm size and firm age are among the internal factors that are significantly positive in the formation of R&D consortia. Copyright Springer-Verlag 2012

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  • Feng-Jyh Lin & Yi-Hsin Lin, 2012. "The determinants of successful R&D consortia: government strategy for the servitization of manufacturing," Service Business, Springer;Pan-Pacific Business Association, vol. 6(4), pages 489-502, December.
  • Handle: RePEc:spr:svcbiz:v:6:y:2012:i:4:p:489-502
    DOI: 10.1007/s11628-012-0157-7
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    3. Lin, Feng-Jyh & Lin, Yi-Hsin, 2016. "The effect of network relationship on the performance of SMEs," Journal of Business Research, Elsevier, vol. 69(5), pages 1780-1784.
    4. Tsu-Ming Yeh & Fan-Yun Pai & Liang-Chuan Wu, 2020. "Relationship Stability and Supply Chain Performance for SMEs: From Internal, Supplier, and Customer Integration Perspectives," Mathematics, MDPI, vol. 8(11), pages 1-18, October.
    5. Diogo Pombo & Mário Franco, 2023. "A qualitative investigation of infusing products with service via strategic alliances among SMEs: a case of servitization," Service Business, Springer;Pan-Pacific Business Association, vol. 17(2), pages 529-555, June.
    6. Aleksey I. Shinkevich & Irina G. Ershova & Farida F. Galimulina, 2022. "Forecasting the Efficiency of Innovative Industrial Systems Based on Neural Networks," Mathematics, MDPI, vol. 11(1), pages 1-25, December.
    7. Feng-Jyh Lin & ChihuFeng Lai, 2021. "Key factors affecting technological capabilities in small and medium-sized Enterprises in Taiwan," International Entrepreneurship and Management Journal, Springer, vol. 17(1), pages 131-143, March.
    8. Lin, Feng-Jyh & Wu, Shang-He & Hsu, Maw-Shin & Perng, Chyuan, 2016. "The determinants of government-sponsored R&D alliances," Journal of Business Research, Elsevier, vol. 69(11), pages 5192-5195.

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