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Effective industrial policy implementation for open innovation: The role of government resources and capabilities

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  • Cheah, Sarah Lai-Yin
  • Ho, Yuen-Ping

Abstract

This study examines how the implementation of industrial policy through public research and development funding impacts the outcome of open innovation collaboration between public research institutes and firms. Based on empirical study of 153 public-private technology transfer projects in the context of Singapore economy and its biotechnology sector, we found that project funding significantly and positively influences their innovation collaboration outcome. We established that public research institutes’ top management team' capability in portfolio management partially mediates the conversion of project funding into innovation collaboration outcome.

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  • Cheah, Sarah Lai-Yin & Ho, Yuen-Ping, 2020. "Effective industrial policy implementation for open innovation: The role of government resources and capabilities," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    • Handle: RePEc:eee:tefoso:v:151:y:2020:i:c:s0040162518315208
    DOI: 10.1016/j.techfore.2019.119845
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    2. Yildirim, Ercan & AR, Ilker Murat & Dabić, Marina & Baki, Birdogan & Peker, Iskender, 2022. "A multi-stage decision making model for determining a suitable innovation structure using an open innovation approach," Journal of Business Research, Elsevier, vol. 147(C), pages 379-391.
    3. CHEAH, Sarah Lai-Yin & HO, Yuen-Ping & LI, Shiyu, 2020. "How the effect of opportunity discovery on innovation outcome differs between DIY laboratories and public research institutes: The role of industry turbulence and knowledge generation in the case of S," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    4. Kim, Jong-Seok & Kim, Byung-Keun, 2022. "Examining different technology transfer capabilities and their counterpart works from two different positions," Technology in Society, Elsevier, vol. 68(C).
    5. El Maalouf, Nicole & Bahemia, Hanna, 2023. "The implementation of inbound open innovation at the firm level: A dynamic capability perspective," Technovation, Elsevier, vol. 122(C).
    6. Sarah Cheah & Shiyu Li, 2020. "The Effect of Structured Feedback on Performance: the Role of Attitude and Perceived Usefulness," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    7. Xie, Xuemei & Wu, Yonghui & Devece, Carlos, 2022. "Is collaborative innovation a double-edged sword for firms? The contingent role of ambidextrous learning and TMT shared vision," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Sharma, Abhijit & Sousa, Cristina & Woodward, Richard, 2022. "Determinants of innovation outcomes: The role of institutional quality," Technovation, Elsevier, vol. 118(C).
    9. Yanwei Lyu & Jinning Zhang & Fei Yang & Di Wu, 2022. "The “Local Neighborhood” Effect of Environmental Regulation on Green Innovation Efficiency: Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    10. Lai-Yin Cheah, Sarah & Ho, Yuen-Ping & Li, Shiyu, 2021. "Search strategy, innovation and financial performance of firms in process industries," Technovation, Elsevier, vol. 105(C).
    11. Bertello, Alberto & De Bernardi, Paola & Ferraris, Alberto & Bresciani, Stefano, 2022. "Shedding lights on organizational decoupling in publicly funded R&D consortia: An institutional perspective on open innovation," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    12. Camilla Bruna Dias Souza & Henrique Rego Monteiro Hora & Edson Terra Azevedo Filho, 2023. "Socioeconomic indicators and innovative countries associated with data mining evidence," SN Business & Economics, Springer, vol. 3(2), pages 1-24, February.

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