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Biotechnology Adoption

- Correlate of University-Company Perspectives

About Biotechnology Adoption

How does the quantum of funding, level of knowledge, acceptance and receptiveness, cooperation, transfer of technology and personal characteristics explain the variations in the level of adoption of biotechnology innovations? This book tends to answer this question from the perspective of academic researchers and managing directors of biotechnology companies. The findings are based on a study conducted in Malaysia. The study provides and optimizes a model for transfer and adoption of biotechnology innovations by Malaysian companies. The target population, all of whom responded to the questionnaire, included 98 academic biotechnology researchers and 51 biotechnology company managers. The findings, from the perspective of biotechnology academic researchers and company managers, revealed that the level of adoption of innovations is low in Malaysia. Using all the data above, an optimized model is developed to identify and propose the predictors of adoption of biotechnology innovations in Malaysian biotechnology companies. These predictions can help the country to modify the policies and decisions related to the adoption of the biotechnology innovations.

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  • Language:
  • English
  • ISBN:
  • 9783844396850
  • Binding:
  • Paperback
  • Pages:
  • 204
  • Published:
  • May 11, 2011
  • Dimensions:
  • 152x229x12 mm.
  • Weight:
  • 304 g.
Delivery: 1-2 weeks
Expected delivery: December 12, 2024
Extended return policy to January 30, 2025

Description of Biotechnology Adoption

How does the quantum of funding, level of knowledge, acceptance and receptiveness, cooperation, transfer of technology and personal characteristics explain the variations in the level of adoption of biotechnology innovations? This book tends to answer this question from the perspective of academic researchers and managing directors of biotechnology companies. The findings are based on a study conducted in Malaysia. The study provides and optimizes a model for transfer and adoption of biotechnology innovations by Malaysian companies. The target population, all of whom responded to the questionnaire, included 98 academic biotechnology researchers and 51 biotechnology company managers. The findings, from the perspective of biotechnology academic researchers and company managers, revealed that the level of adoption of innovations is low in Malaysia. Using all the data above, an optimized model is developed to identify and propose the predictors of adoption of biotechnology innovations in Malaysian biotechnology companies. These predictions can help the country to modify the policies and decisions related to the adoption of the biotechnology innovations.

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