Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text Analysis
This research provides an overview on horticulture innovations in the last decade through a literature review and the use of a computer qualitative data analysis. We used Leximancer text mining software to identify concepts, themes and pathways linked with horticulture innovations. The software tool...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/11/6/1103 |
| _version_ | 1827691214056456192 |
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| author | Daniela Spina Gabriella Vindigni Biagio Pecorino Gioacchino Pappalardo Mario D’Amico Gaetano Chinnici |
| author_facet | Daniela Spina Gabriella Vindigni Biagio Pecorino Gioacchino Pappalardo Mario D’Amico Gaetano Chinnici |
| author_sort | Daniela Spina |
| collection | DOAJ |
| description | This research provides an overview on horticulture innovations in the last decade through a literature review and the use of a computer qualitative data analysis. We used Leximancer text mining software to identify concepts, themes and pathways linked with horticulture innovations. The software tool enabled us to “zoom out” to gain a broad perspective of the pooled data, and it indicated which studies clustered around the dominant topic. It displays the extracted information in a visual form, to wit, an interactive concept map, which summaries the interconnected themes and demonstrates any interdependencies. The text mining analysis revealed that the themes strongly related to “innovation” are “water”, “urban”, “system”, “countries” and “technology”. The outputs identified have been interpreted to discover meaning from the content analysis, since the software can facilitate a comprehensive and transparent data coding but cannot replace researcher’s interpretive work. Furthermore, we focused on the diffusion and the barriers for the spread of innovation, pointing out the differences about developing and advanced countries. This analysis allows the researcher to have a holistic understanding of the examination area and could lead to further studies. |
| first_indexed | 2024-03-10T10:56:41Z |
| format | Article |
| id | doaj.art-84aaa6188eb043388aa1b3c5e6a9dcbb |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T10:56:41Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-84aaa6188eb043388aa1b3c5e6a9dcbb2023-11-21T21:51:05ZengMDPI AGAgronomy2073-43952021-05-01116110310.3390/agronomy11061103Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text AnalysisDaniela Spina0Gabriella Vindigni1Biagio Pecorino2Gioacchino Pappalardo3Mario D’Amico4Gaetano Chinnici5Department of Agriculture, Food and Environment (Di3A), University of Catania, Via S. Sofia 98-100, 95123 Catania, ItalyDepartment of Agriculture, Food and Environment (Di3A), University of Catania, Via S. Sofia 98-100, 95123 Catania, ItalyDepartment of Agriculture, Food and Environment (Di3A), University of Catania, Via S. Sofia 98-100, 95123 Catania, ItalyDepartment of Agriculture, Food and Environment (Di3A), University of Catania, Via S. Sofia 98-100, 95123 Catania, ItalyDepartment of Agriculture, Food and Environment (Di3A), University of Catania, Via S. Sofia 98-100, 95123 Catania, ItalyDepartment of Agriculture, Food and Environment (Di3A), University of Catania, Via S. Sofia 98-100, 95123 Catania, ItalyThis research provides an overview on horticulture innovations in the last decade through a literature review and the use of a computer qualitative data analysis. We used Leximancer text mining software to identify concepts, themes and pathways linked with horticulture innovations. The software tool enabled us to “zoom out” to gain a broad perspective of the pooled data, and it indicated which studies clustered around the dominant topic. It displays the extracted information in a visual form, to wit, an interactive concept map, which summaries the interconnected themes and demonstrates any interdependencies. The text mining analysis revealed that the themes strongly related to “innovation” are “water”, “urban”, “system”, “countries” and “technology”. The outputs identified have been interpreted to discover meaning from the content analysis, since the software can facilitate a comprehensive and transparent data coding but cannot replace researcher’s interpretive work. Furthermore, we focused on the diffusion and the barriers for the spread of innovation, pointing out the differences about developing and advanced countries. This analysis allows the researcher to have a holistic understanding of the examination area and could lead to further studies.https://www.mdpi.com/2073-4395/11/6/1103innovationsmanagementhorticulturecontent analysisdata mining |
| spellingShingle | Daniela Spina Gabriella Vindigni Biagio Pecorino Gioacchino Pappalardo Mario D’Amico Gaetano Chinnici Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text Analysis Agronomy innovations management horticulture content analysis data mining |
| title | Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text Analysis |
| title_full | Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text Analysis |
| title_fullStr | Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text Analysis |
| title_full_unstemmed | Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text Analysis |
| title_short | Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text Analysis |
| title_sort | identifying themes and patterns on management of horticultural innovations with an automated text analysis |
| topic | innovations management horticulture content analysis data mining |
| url | https://www.mdpi.com/2073-4395/11/6/1103 |
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