| Title |
Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda |
| ID_Doc |
78250 |
| Authors |
Cavazza, A; Dal Mas, F; Paoloni, P; Manzo, M |
| Title |
Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda |
| Year |
2023 |
| Published |
British Food Journal, 125, 13 |
| DOI |
10.1108/BFJ-02-2023-0132 |
| Abstract |
Purpose - Artificial Intelligence (AI) is a growing technology impacting several business fields. The agricultural sector is facing several challenges, which may be supported by the use of such a new advanced technology. The aim of the paper is to map the state-of-the-art of AI applications in agriculture, their advantages, barriers, implications and the ability to lead to new business models, depicting a future research agenda.Design/methodology/approach - A structured literature review has been conducted, and 37 contributions have been analyzed and coded using a detailed research framework.Findings - Findings underline the multiple uses and advantages of AI in agriculture and the potential impacts for farmers and entrepreneurs, even from a sustainability perspective. Several applications and algorithms are being developed and tested, but many barriers arise, starting from the lack of understanding by farmers and the need for global investments. A collaboration between scholars and practitioners is advocated to share best practices and lead to practical solutions and policies. The promising topic of new business models is still under-investigated and deserves more attention from scholars and practitioners.Originality/value - The paper reports the state-of-the-art of AI in agriculture and its impact on the development of new business models. Several new research avenues have been identified. |
| Author Keywords |
Artificial intelligence; Agriculture; Agritech; Business models; Literature review; AI-Based applications; Sustainability; Sustainable business models; Agricultural policies |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001032971800001 |
| WoS Category |
Agricultural Economics & Policy; Food Science & Technology |
| Research Area |
Agriculture; Food Science & Technology |
| PDF |
https://www.emerald.com/insight/content/doi/10.1108/BFJ-02-2023-0132/full/pdf?title=artificial-intelligence-and-new-business-models-in-agriculture-a-structured-literature-review-and-future-research-agenda
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