Deciphering the Drivers of Smart Livestock Technology Adoption in Japan: A Scoping Review, Expert Interviews, and Grounded Theory Approach

Takumi Ohashi,Miki Saijo, Kento Suzuki, Shinsuke Arafuka

CoRR(2023)

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摘要
With global demand for animal products projected to increase significantly by 2050, understanding the factors that influence the adoption of smart livestock technologies has become increasingly crucial. Conducted within the unique agricultural context of Japan, our study builds upon traditional theoretical frameworks that often oversimplify farmers' decision-making processes. By employing a scoping review, expert interviews, and a Modified Grounded Theory Approach, our research uncovers the intricate interplay between individual farmer values, farm management policies, social relations, agricultural policies, and livestock industry trends. We particularly highlight the unique dynamics within family-owned businesses, noting the tension between an "advanced management mindset" and "conservatism." Our study underscores technology adoption's sequential and iterative nature, intricately tied to technology availability, farmers' digital literacy, technology implementation support, and observable technology impacts on animal health and productivity. Despite certain limitations, our findings carry profound implications for stakeholders, providing valuable insights to overcome adoption barriers and advocating for more sustainable, efficient, and animal welfare-oriented livestock production systems. This research establishes a solid foundation for future explorations into smart livestock technology adoption.
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smart livestock technology adoption,japan
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