Results 191 to 200 of about 12,004,986 (327)
Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu +2 more
wiley +1 more source
Policy Learning in Innovation Policy
This thesis studies policy learning in the field of innovation policy. In particular, I look at the sources of policy learning, with a focus on evaluations and informal networks. I provide a comparative perspective across European Union (EU) member states on how they use these sources for policy learning.
openaire +1 more source
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley +1 more source
The translation-to-policy learning cycle to improve public health. [PDF]
Kilbourne AM +7 more
europepmc +1 more source
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin +1 more
wiley +1 more source
Governing digital transformation in ports: Policy learning from the 5G-LOGINNOV project. [PDF]
Catana E, Merlo F, Perboli G.
europepmc +1 more source
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó +3 more
wiley +1 more source
Policy Learning for Actively Labeled Sample Selection on Lumbar Semi-supervised Classification. [PDF]
Hai J +5 more
europepmc +1 more source
ABSTRACT This study investigates the financial literacy (FL) of Swedish farmers, its linkages to farmer characteristics, management accounting practices and farm outcomes by surveying Swedish Farm Accountancy Data Network farmers. Using item response theory, we expand the existing FL measurement specifically to the farming context, assess measurement ...
Uliana Gottlieb, Helena Hansson
wiley +1 more source

