Serena Mandolesi
Biographic Data
| ID | 6461635 |
|---|---|
| NAME | Serena Mandolesi |
| GIVEN NAMES | Serena |
| FAMILY NAME | Mandolesi |
| SIGNATURE | MANDOLESI S |
| AFFILIATIONS | Marche Polytechnic University |
| ORCID | 0000-0001-5565-6902 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Artificial Intelligence in agriculture
Purpose This study explores how stakeholders perceive and evaluate Artificial Intelligence (AI) in sustainable agriculture. While AI is often promoted as a solution to food security and climate challenges, its adoption raises ethical, social, and institutional concerns that remain underexplored. Design/methodology/approach Using Q methodology, the study captures subjective viewpoints from 20 stakeholders, including farmers, nutritionists, journal…
Scoring NutriScore
Purpose This study aims to understand consumers' subjective perceptions of the adoption of the NutriScore label on food packaging. In particular, the study focuses on the overall acceptance of the NutriScore label in Italy, with the aim of emphasising the importance of understanding consumer perspectives in order to encourage healthier food choices. Design/methodology/approach Q methodology was used to explore individuals’ subjectivity and attitu…
Estimating preferences for Mediterranean deep-sea ecosystem services
Using visual Q sorting to determine the impact of photovoltaic applications on the landscape
Identifying viewpoints on innovation in low-input and organic dairy supply chains
Identifying viewpoints on innovation in low-input and organic dairy supply chains
Using visual Q sorting to determine the impact of photovoltaic applications on the landscape
Estimating preferences for Mediterranean deep-sea ecosystem services
Scoring NutriScore
Purpose This study aims to understand consumers' subjective perceptions of the adoption of the NutriScore label on food packaging. In particular, the study focuses on the overall acceptance of the NutriScore label in Italy, with the aim of emphasising the importance of understanding consumer perspectives in order to encourage healthier food choices. Design/methodology/approach Q methodology was used to explore individuals’ subjectivity and attitu…
Artificial Intelligence in agriculture
Purpose This study explores how stakeholders perceive and evaluate Artificial Intelligence (AI) in sustainable agriculture. While AI is often promoted as a solution to food security and climate challenges, its adoption raises ethical, social, and institutional concerns that remain underexplored. Design/methodology/approach Using Q methodology, the study captures subjective viewpoints from 20 stakeholders, including farmers, nutritionists, journal…
Viewpoints (4 works) · Q Methodology Applications (3 works) · Business (2 works) · Computer Science (2 works) · Environmental resource management (2 works) · Environmental Science (2 works) · Geography (2 works) · Marketing (2 works) · Political science (2 works) · Sample (material (2 works)