Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe
The study aims to enhance gender-responsive bean breeding in Zimbabwe using the G+ Customer and Product Profile Tools. It focuses on profiling customer preferences and product traits to address food security, nutrition, and gender gaps. The data covers major topics like market segmentation, customer...
| Main Authors: | , |
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| Format: | Conjunto de datos |
| Language: | Inglés |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/168217 |
| _version_ | 1855514541807370240 |
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| author | Nchanji, Eileen Bogweh Lutomia, Cosmas Kweyu |
| author_browse | Lutomia, Cosmas Kweyu Nchanji, Eileen Bogweh |
| author_facet | Nchanji, Eileen Bogweh Lutomia, Cosmas Kweyu |
| author_sort | Nchanji, Eileen Bogweh |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The study aims to enhance gender-responsive bean breeding in Zimbabwe using the G+ Customer and Product Profile Tools. It focuses on profiling customer preferences and product traits to address food security, nutrition, and gender gaps. The data covers major topics like market segmentation, customer mapping, socioeconomic characteristics, and bean traits. Key questions include gender-specific preferences, constraints in accessing improved varieties, and the role of beans in livelihoods and food securityThe study aims to enhance gender-responsive bean breeding in Zimbabwe using the G+ Customer and Product Profile Tools. It focuses on profiling customer preferences and product traits to address food security, nutrition, and gender gaps. The data covers major topics like market segmentation, customer mapping, socioeconomic characteristics, and bean traits. Key questions include gender-specific preferences, constraints in accessing improved varieties, and the role of beans in livelihoods and food security.
Methodology: The study employed a mixed-methods approach involving literature review, surveys, and participatory varietal selection to collect data from various bean value chain actors (e.g., farmers, processors, traders). The G+ tools guided the collection process, integrating gendered perspectives on customer segments and bean traits. Data were collected across different provinces, and the analysis used gender-disaggregated findings to inform breeding initiatives. |
| format | Conjunto de datos |
| id | CGSpace168217 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1682172025-01-24T08:53:27Z Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe Nchanji, Eileen Bogweh Lutomia, Cosmas Kweyu gender nutrition food security socioeconomic development gender-responsive approaches The study aims to enhance gender-responsive bean breeding in Zimbabwe using the G+ Customer and Product Profile Tools. It focuses on profiling customer preferences and product traits to address food security, nutrition, and gender gaps. The data covers major topics like market segmentation, customer mapping, socioeconomic characteristics, and bean traits. Key questions include gender-specific preferences, constraints in accessing improved varieties, and the role of beans in livelihoods and food securityThe study aims to enhance gender-responsive bean breeding in Zimbabwe using the G+ Customer and Product Profile Tools. It focuses on profiling customer preferences and product traits to address food security, nutrition, and gender gaps. The data covers major topics like market segmentation, customer mapping, socioeconomic characteristics, and bean traits. Key questions include gender-specific preferences, constraints in accessing improved varieties, and the role of beans in livelihoods and food security. Methodology: The study employed a mixed-methods approach involving literature review, surveys, and participatory varietal selection to collect data from various bean value chain actors (e.g., farmers, processors, traders). The G+ tools guided the collection process, integrating gendered perspectives on customer segments and bean traits. Data were collected across different provinces, and the analysis used gender-disaggregated findings to inform breeding initiatives. 2024 2024-12-20T23:33:52Z 2024-12-20T23:33:52Z Dataset https://hdl.handle.net/10568/168217 en Open Access Nchanji, E.B.; Lutomia, C.K. (2024) Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe. https://doi.org/10.7910/DVN/UD0L1F |
| spellingShingle | gender nutrition food security socioeconomic development gender-responsive approaches Nchanji, Eileen Bogweh Lutomia, Cosmas Kweyu Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe |
| title | Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe |
| title_full | Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe |
| title_fullStr | Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe |
| title_full_unstemmed | Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe |
| title_short | Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe |
| title_sort | market segmentation g customer and product profile tools for gender responsive bean breeding in zimbabwe |
| topic | gender nutrition food security socioeconomic development gender-responsive approaches |
| url | https://hdl.handle.net/10568/168217 |
| work_keys_str_mv | AT nchanjieileenbogweh marketsegmentationgcustomerandproductprofiletoolsforgenderresponsivebeanbreedinginzimbabwe AT lutomiacosmaskweyu marketsegmentationgcustomerandproductprofiletoolsforgenderresponsivebeanbreedinginzimbabwe |