Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe

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Nchanji, Eileen Bogweh; Lutomia, Cosmas Kweyu, 2024, "Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe", https://doi.org/10.7910/DVN/UD0L1F, Harvard Dataverse, V1

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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 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 (2024-10)
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	gender, gender-responsive approaches, nutrition, food security, socioeconomic development, Africa, Crops for Nutrition and Health
Related Publication	Nchanji, E. B., Nyarai, C., Tsekenedza, S., Gutsa, F., Sondayi, L., Lutomia, C. K., ... & Onyango, P. (2022). Market segmentation (G+ customer and product profile tools) for gender responsive bean breeding in Zimbabwe: Piloting report.https://cgspace.cgiar.org/server/api/core/bitstreams/9610dd5a-89a3-4d3c-85ed-053982cb79d3/content
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	01a. Data Dictionary for NUA45 Profiling Variables.xlsx MS Excel Spreadsheet - 13.2 KB Published Dec 19, 2024 1 Download MD5: f785a7b59d52b587b1e6769656aa0e2a Dictionary Documentation	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	01b. NUA45 PRODUCT PROFILING TOOL.docx MS Word - 41.4 KB Published Dec 19, 2024 1 Download MD5: 7fb735c12ad80ab49fb5975e1dde823e Questionnaire Documentation	Access File File Access Public Download Options MS Word Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	02a. NUA45 data - Submission.xlsx MS Excel Spreadsheet - 98.7 KB Published Dec 19, 2024 1 Download MD5: ad3068500e1b68f23adf067cdf7e2b62 Data (Excel) Data	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX

Citation Metadata

Persistent Identifier	doi:10.7910/DVN/UD0L1F
Publication Date	2024-12-19
Title	Market segmentation (G + Customer and Product Profile Tools) for Gender Responsive Bean Breeding in Zimbabwe
Author	International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0002-6859-0962 International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0003-3546-0552
Point of Contact	Use email button above to contact. Alliance Data Management (Bioversity International and the International Center for Tropical Agriculture)
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 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 (2024-10)
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	gender (AGROVOC) http://aims.fao.org/aos/agrovoc/c_34835 gender-responsive approaches (AGROVOC) http://aims.fao.org/aos/agrovoc/c_23c6f655 nutrition (AGROVOC) http://aims.fao.org/aos/agrovoc/c_49892 food security (AGROVOC) http://aims.fao.org/aos/agrovoc/c_10967 socioeconomic development (AGROVOC) http://aims.fao.org/aos/agrovoc/c_29966 Africa (Research Region) Crops for Nutrition and Health (Research Lever)
Topic Classification	agriculture (AGROVOC) http://aims.fao.org/aos/agrovoc/c_203
Related Publication	Nchanji, E. B., Nyarai, C., Tsekenedza, S., Gutsa, F., Sondayi, L., Lutomia, C. K., ... & Onyango, P. (2022). Market segmentation (G+ customer and product profile tools) for gender responsive bean breeding in Zimbabwe: Piloting report. url https://cgspace.cgiar.org/server/api/core/bitstreams/9610dd5a-89a3-4d3c-85ed-053982cb79d3/content
Language	English
Producer	International Center for Tropical Agriculture (CIAT) https://ciat.cgiar.org/
Production Date	2021-01
Distributor	International Center for Tropical Agriculture (CIAT) https://ciat.cgiar.org/
Distribution Date	2021-01
Depositor	Alliance Data Management
Deposit Date	2024-10-28
Time Period	Start Date: 2021-01; End Date: 2021-02
Date of Collection	Start Date: 2021-01; End Date: 2021-01
Data Type	Qualitative Data; Quantitative Data; Survey Data; Socio-economic Data
Related Material	Nchanji, E. B., Nyarai, C., Tsekenedza, S., Gutsa, F., Sondayi, L., Lutomia, C. K., ... & Onyango, P. (2022). Market segmentation (G+ customer and product profile tools) for gender responsive bean breeding in Zimbabwe: Piloting report. https://cgspace.cgiar.org/server/api/core/bitstreams/9610dd5a-89a3-4d3c-85ed-053982cb79d3/content

Geospatial Metadata

Geographic Coverage	Zimbabwe, Manicaland, Masvingo, and Midlands

Social Science and Humanities Metadata

Unit of Analysis	Individual and group
Universe	The study population consists of smallholder bean farmers, processors, traders, and consumers in Zimbabwe. It includes both men and women, with an emphasis on women due to their significant role in bean production. The data covers participants of various ages, income levels, and educational backgrounds, focusing on regions like Manicaland, Masvingo, and Midlands
Type of Research Instrument	Structured questionnaire and FGD guides were was used. The data collected included demographic characteristics, bean traits preferences, production practices, market dynamics, and gender roles in the value chainStructured questionnaire and FGD guides were was used. The data collected included demographic characteristics, bean traits preferences, production practices, market dynamics, and gender roles in the value chainStructured questionnaire and FGD guides were was used. The data collected included demographic characteristics, bean traits preferences, production practices, market dynamics, and gender roles in the value chainStructured questionnaire and FGD guides were was used. The data collected included demographic characteristics, bean traits preferences, production practices, market dynamics, and gender roles in the value chain

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