Knowledge Transfer on Digital Transformation: An Analysis of the Olive Landscape in Andalusia, Spain
The global economy, and agriculture, in particular, faces significant challenges and transformation pressures. A major challenge, and opportunity, is the transformation towards digital agriculture or agriculture 4.0, where knowledge transfer (KT) has an important role to play not only in ensuring th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/1/63 |
| _version_ | 1797492756489175040 |
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| author | Liliana Reina-Usuga Carlos Parra-López Carmen Carmona-Torres |
| author_facet | Liliana Reina-Usuga Carlos Parra-López Carmen Carmona-Torres |
| author_sort | Liliana Reina-Usuga |
| collection | DOAJ |
| description | The global economy, and agriculture, in particular, faces significant challenges and transformation pressures. A major challenge, and opportunity, is the transformation towards digital agriculture or agriculture 4.0, where knowledge transfer (KT) has an important role to play not only in ensuring that digital innovations reach end-users, but also that these innovations contribute to development in rural landscapes. This paper analyses the role of KT in the framework of digital transformation (DT) in the Andalusian olive landscape. Thus, from the perspective of knowledge-generating agents, the main knowledge emitting and receiving actors in the DT are identified by using Social Network Analysis techniques (SNA). Subsequently, the performance of the Technological Innovation System (TIS) in KT is evaluated by using the multi-criteria Analytic Hierarchy Process (AHP) method. The results suggest that the knowledge-generating agents, the knowledge transfer actors, and the scientific and dissemination media actors are the main knowledge emitters and highlight their role as cohesive actors of the social network. The main knowledge receivers are olive growers, cooperatives and non-cooperative groups. The results also indicate that the global performance of the TIS in the KT function is medium/low. Furthermore, in the KT sub-functions where the TIS in DT performs best is the quality of the transfer processes of DT, and where it performs worst is the sufficiency of spaces for KT. |
| first_indexed | 2024-03-10T01:08:16Z |
| format | Article |
| id | doaj.art-56b196ca32c24197810913ce6a51e773 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T01:08:16Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-56b196ca32c24197810913ce6a51e7732023-11-23T14:22:00ZengMDPI AGLand2073-445X2022-01-011116310.3390/land11010063Knowledge Transfer on Digital Transformation: An Analysis of the Olive Landscape in Andalusia, SpainLiliana Reina-Usuga0Carlos Parra-López1Carmen Carmona-Torres2Department of Economics, Sociology and Agricultural Policy, Campus de Rabanales, University of Cordoba, P.O. Box 14071 Cordoba, SpainDepartment of Agrifood System Economics, Centre ‘Camino de Purchil’, Institute of Agricultural and Fisheries Research and Training (IFAPA), P.O. Box 18080 Granada, SpainDepartment of Agrifood System Economics, Centre ‘Camino de Purchil’, Institute of Agricultural and Fisheries Research and Training (IFAPA), P.O. Box 18080 Granada, SpainThe global economy, and agriculture, in particular, faces significant challenges and transformation pressures. A major challenge, and opportunity, is the transformation towards digital agriculture or agriculture 4.0, where knowledge transfer (KT) has an important role to play not only in ensuring that digital innovations reach end-users, but also that these innovations contribute to development in rural landscapes. This paper analyses the role of KT in the framework of digital transformation (DT) in the Andalusian olive landscape. Thus, from the perspective of knowledge-generating agents, the main knowledge emitting and receiving actors in the DT are identified by using Social Network Analysis techniques (SNA). Subsequently, the performance of the Technological Innovation System (TIS) in KT is evaluated by using the multi-criteria Analytic Hierarchy Process (AHP) method. The results suggest that the knowledge-generating agents, the knowledge transfer actors, and the scientific and dissemination media actors are the main knowledge emitters and highlight their role as cohesive actors of the social network. The main knowledge receivers are olive growers, cooperatives and non-cooperative groups. The results also indicate that the global performance of the TIS in the KT function is medium/low. Furthermore, in the KT sub-functions where the TIS in DT performs best is the quality of the transfer processes of DT, and where it performs worst is the sufficiency of spaces for KT.https://www.mdpi.com/2073-445X/11/1/63technological innovation systemdigitisationinnovation agentsolive grovesexplicit knowledge |
| spellingShingle | Liliana Reina-Usuga Carlos Parra-López Carmen Carmona-Torres Knowledge Transfer on Digital Transformation: An Analysis of the Olive Landscape in Andalusia, Spain Land technological innovation system digitisation innovation agents olive groves explicit knowledge |
| title | Knowledge Transfer on Digital Transformation: An Analysis of the Olive Landscape in Andalusia, Spain |
| title_full | Knowledge Transfer on Digital Transformation: An Analysis of the Olive Landscape in Andalusia, Spain |
| title_fullStr | Knowledge Transfer on Digital Transformation: An Analysis of the Olive Landscape in Andalusia, Spain |
| title_full_unstemmed | Knowledge Transfer on Digital Transformation: An Analysis of the Olive Landscape in Andalusia, Spain |
| title_short | Knowledge Transfer on Digital Transformation: An Analysis of the Olive Landscape in Andalusia, Spain |
| title_sort | knowledge transfer on digital transformation an analysis of the olive landscape in andalusia spain |
| topic | technological innovation system digitisation innovation agents olive groves explicit knowledge |
| url | https://www.mdpi.com/2073-445X/11/1/63 |
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