Title: Acceptance of artifical intelligence systems in agriculture: the role of performance expectancy and government supports

Authors: Nguyen Thi Kim Ngan; Tu Thuy Anh; Bui Dang Thanh; Nguyen Thi Tuyet Nhung; Pham Thi My Dung; Nguyen Dieu Ninh

Addresses: Foreign Trade University, 91 Chualang Street, Dong Da District, Hanoi, Vietnam ' Foreign Trade University, 91 Chualang Street, Dong Da District, Hanoi, Vietnam ' Foreign Trade University, 91 Chualang Street, Dong Da District, Hanoi, Vietnam ' Foreign Trade University, 91 Chualang Street, Dong Da District, Hanoi, Vietnam ' Foreign Trade University, 91 Chualang Street, Dong Da District, Hanoi, Vietnam ' Foreign Trade University, 91 Chualang Street, Dong Da District, Hanoi, Vietnam

Abstract: In the era of digitalisation, most countries worldwide are well aware of the need to develop smart-green agriculture because the negative impacts of climate change are becoming increasingly apparent on a large-scale. The application of AI in agriculture supports automation and optimisation of production processes, helping farmers increase productivity and reduce production costs. AI also allows farmers to predict and avoid climate and disease risks. Therefore, this study investigates the role of perceived usefulness on farmers' acceptance of AI systems through the interaction with personal attitude, personal innovativeness, green and lean practices, government support, and performance expectancy. This study conducted multiple analyses to test these proposed relationships. The results found that the interactions between perceived usefulness with personal attitude, personal innovativeness, government support, and performance expectancy enhance the farmers' acceptance of AI systems. This study also contributes several implications to literature and practices based on these findings.

Keywords: digitalisation; smart-green agriculture; AI acceptance; innovation; agricultural production; performance expectancy.

DOI: 10.1504/IJSAMI.2024.139730

International Journal of Sustainable Agricultural Management and Informatics, 2024 Vol.10 No.3, pp.248 - 272

Received: 02 Jun 2023
Accepted: 27 Aug 2023
Published online: 05 Jul 2024 *

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