How to make a smartphone-based app for agricultural advice attractive: Insights from a choice experiment in Mexico

Mobile phone apps can be a cost-effective way to provide decision support to farmers, and they can support the collection of agricultural data. The digitisation of agricultural systems, and the efforts to close the digital divide and to include smallholders, make data ownership and privacy issues mo...

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Main Authors: Molina Maturano, Janet, Verhulst, Nele, Tur-Cardona, Juan, Güereña, David T., Gardeazábal Monsalve, Andrea, Govaerts, Bram, Steur, Hans de, Speelman, Stijn
Format: Journal Article
Language:Inglés
Published: MDPI 2022
Subjects:
Online Access:https://hdl.handle.net/10568/127110
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author Molina Maturano, Janet
Verhulst, Nele
Tur-Cardona, Juan
Güereña, David T.
Gardeazábal Monsalve, Andrea
Govaerts, Bram
Steur, Hans de
Speelman, Stijn
author_browse Gardeazábal Monsalve, Andrea
Govaerts, Bram
Güereña, David T.
Molina Maturano, Janet
Speelman, Stijn
Steur, Hans de
Tur-Cardona, Juan
Verhulst, Nele
author_facet Molina Maturano, Janet
Verhulst, Nele
Tur-Cardona, Juan
Güereña, David T.
Gardeazábal Monsalve, Andrea
Govaerts, Bram
Steur, Hans de
Speelman, Stijn
author_sort Molina Maturano, Janet
collection Repository of Agricultural Research Outputs (CGSpace)
description Mobile phone apps can be a cost-effective way to provide decision support to farmers, and they can support the collection of agricultural data. The digitisation of agricultural systems, and the efforts to close the digital divide and to include smallholders, make data ownership and privacy issues more relevant than ever before. In Central and South American countries, smallholders’ preferences regarding data licenses and sharing have largely been ignored, and little attention has been paid to the potential of nonfinancial incentives to increase the uptake of digital solutions and participation by farmers. To investigate incentives for smallholder farmers to potentially use an agricultural advisory app in which they share their data, a Discrete Choice Experiment was designed. Based on a survey of 392 farmers in Mexico, preferences for attributes related to its usage were revealed using a conditional logit (CL) model. To explore heterogeneity, groups and profiles were explored through a latent class (LC) model. The CL model results revealed, for example, farmers’ positive preference to receive support at first use and access to training, while negative preference was found for sharing data with private actors. The LC identified three classes which differ in their preference for attributes such as the degree of data sharing. Furthermore, for example, a farmer’s connectedness to an innovation hub was found to be one of the significant variables in the class membership function. The main contribution of the study is that it shows the importance of nonfinancial incentives and the influence of data sharing on farmer preferences.
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spelling CGSpace1271102025-12-08T10:29:22Z How to make a smartphone-based app for agricultural advice attractive: Insights from a choice experiment in Mexico Molina Maturano, Janet Verhulst, Nele Tur-Cardona, Juan Güereña, David T. Gardeazábal Monsalve, Andrea Govaerts, Bram Steur, Hans de Speelman, Stijn smallholders computer applications agricultural innovation systems experimentation Mobile phone apps can be a cost-effective way to provide decision support to farmers, and they can support the collection of agricultural data. The digitisation of agricultural systems, and the efforts to close the digital divide and to include smallholders, make data ownership and privacy issues more relevant than ever before. In Central and South American countries, smallholders’ preferences regarding data licenses and sharing have largely been ignored, and little attention has been paid to the potential of nonfinancial incentives to increase the uptake of digital solutions and participation by farmers. To investigate incentives for smallholder farmers to potentially use an agricultural advisory app in which they share their data, a Discrete Choice Experiment was designed. Based on a survey of 392 farmers in Mexico, preferences for attributes related to its usage were revealed using a conditional logit (CL) model. To explore heterogeneity, groups and profiles were explored through a latent class (LC) model. The CL model results revealed, for example, farmers’ positive preference to receive support at first use and access to training, while negative preference was found for sharing data with private actors. The LC identified three classes which differ in their preference for attributes such as the degree of data sharing. Furthermore, for example, a farmer’s connectedness to an innovation hub was found to be one of the significant variables in the class membership function. The main contribution of the study is that it shows the importance of nonfinancial incentives and the influence of data sharing on farmer preferences. 2022-03-12 2023-01-14T12:50:05Z 2023-01-14T12:50:05Z Journal Article https://hdl.handle.net/10568/127110 en Open Access application/pdf MDPI Molina-Maturano, J., Verhulst, N., Tur-Cardona, J., Güerena, D. T., Gardeazábal-Monsalve, A., Govaerts, B., De Steur, H., & Speelman, S. (2022). How to Make a Smartphone-Based App for Agricultural Advice Attractive: Insights from a Choice Experiment in Mexico. Agronomy, 12(3), 691. https://doi.org/10.3390/agronomy12030691
spellingShingle smallholders
computer applications
agricultural innovation systems
experimentation
Molina Maturano, Janet
Verhulst, Nele
Tur-Cardona, Juan
Güereña, David T.
Gardeazábal Monsalve, Andrea
Govaerts, Bram
Steur, Hans de
Speelman, Stijn
How to make a smartphone-based app for agricultural advice attractive: Insights from a choice experiment in Mexico
title How to make a smartphone-based app for agricultural advice attractive: Insights from a choice experiment in Mexico
title_full How to make a smartphone-based app for agricultural advice attractive: Insights from a choice experiment in Mexico
title_fullStr How to make a smartphone-based app for agricultural advice attractive: Insights from a choice experiment in Mexico
title_full_unstemmed How to make a smartphone-based app for agricultural advice attractive: Insights from a choice experiment in Mexico
title_short How to make a smartphone-based app for agricultural advice attractive: Insights from a choice experiment in Mexico
title_sort how to make a smartphone based app for agricultural advice attractive insights from a choice experiment in mexico
topic smallholders
computer applications
agricultural innovation systems
experimentation
url https://hdl.handle.net/10568/127110
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