Decision Support Systems adoption in pesticide management [version 2; peer review: 1 approved, 2 approved with reservations]

This paper presents the findings from a survey on factors influencing the adoption of agricultural Decision Support Systems (DSS). Our study focuses on examining the influence of behavioural, socioeconomic and farm specific characteristics on DSS adoption. Using two structural equation models, we in...

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Main Authors: Efi Vasileiou, Aurora García-Gallego, Jotham Jea Akaka, Mark Ramsden, Jean-Christian Tisserand, Nikolaos Georgantzis
Format: Article
Language:English
Published: F1000 Research Ltd 2024-09-01
Series:Open Research Europe
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Online Access:https://open-research-europe.ec.europa.eu/articles/4-142/v2
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author Efi Vasileiou
Aurora García-Gallego
Jotham Jea Akaka
Mark Ramsden
Jean-Christian Tisserand
Nikolaos Georgantzis
author_facet Efi Vasileiou
Aurora García-Gallego
Jotham Jea Akaka
Mark Ramsden
Jean-Christian Tisserand
Nikolaos Georgantzis
author_sort Efi Vasileiou
collection DOAJ
description This paper presents the findings from a survey on factors influencing the adoption of agricultural Decision Support Systems (DSS). Our study focuses on examining the influence of behavioural, socioeconomic and farm specific characteristics on DSS adoption. Using two structural equation models, we investigate how these factors influence the willingness to pay (WTP) and willingness to adopt. Our analysis reveals nuanced insights into the user and farm-specific factors that influence the decision-making process of DSS adoption and WTP. Notably, farm size significantly influences both adoption and WTP, with larger farms more likely to adopt and exhibit higher WTP. To promote adoption, it is important to adapt promotion strategies, with a focus on productivity benefits for large-scale farms and addressing price barriers for smaller ones. Additionally, the main crop type grown impacts WTP and adoption, with arable crop farmers exhibit a lower WTP but more likely to adopt, especially in large-scale operations. Conversely, small-scale arable farmers exhibit higher WTP but lower adoption rates due to scale constraints. Farmer characteristics such as experience and attitudes also play a crucial role, with experienced users and those perceiving productivity improvements due to DSS showing higher WTP. In addition, adoption is also influenced by ease of use and pricing, underpinning the importance of user-friendly designs and clear cost justifications. DSSs with user-centric designs and clear cost justifications can enhance adoption rates.
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spelling doaj-art-044dc06e75a047708501c0be0edd04b42025-01-23T01:00:00ZengF1000 Research LtdOpen Research Europe2732-51212024-09-01420067Decision Support Systems adoption in pesticide management [version 2; peer review: 1 approved, 2 approved with reservations]Efi Vasileiou0Aurora García-Gallego1Jotham Jea Akaka2https://orcid.org/0000-0001-8255-3263Mark Ramsden3Jean-Christian Tisserand4Nikolaos Georgantzis5https://orcid.org/0000-0002-9697-5368Centre de Recherche sur les Entreprises (CEREN), Burgundy School of Business, Dijon, FranceLaboratori d'Economia Experimental and Department of Economics, Universitat Jaume I, Castellón de la Plana, Valencian Community, 12071, SpainLaboratori d'Economia Experimental and Department of Economics, Universitat Jaume I, Castellón de la Plana, Valencian Community, 12071, SpainRSK ADAS, Cheshire, UKCentre de Recherche sur les Entreprises (CEREN), Burgundy School of Business, Dijon, FranceLaboratori d'Economia Experimental and Department of Economics, Universitat Jaume I, Castellón de la Plana, Valencian Community, 12071, SpainThis paper presents the findings from a survey on factors influencing the adoption of agricultural Decision Support Systems (DSS). Our study focuses on examining the influence of behavioural, socioeconomic and farm specific characteristics on DSS adoption. Using two structural equation models, we investigate how these factors influence the willingness to pay (WTP) and willingness to adopt. Our analysis reveals nuanced insights into the user and farm-specific factors that influence the decision-making process of DSS adoption and WTP. Notably, farm size significantly influences both adoption and WTP, with larger farms more likely to adopt and exhibit higher WTP. To promote adoption, it is important to adapt promotion strategies, with a focus on productivity benefits for large-scale farms and addressing price barriers for smaller ones. Additionally, the main crop type grown impacts WTP and adoption, with arable crop farmers exhibit a lower WTP but more likely to adopt, especially in large-scale operations. Conversely, small-scale arable farmers exhibit higher WTP but lower adoption rates due to scale constraints. Farmer characteristics such as experience and attitudes also play a crucial role, with experienced users and those perceiving productivity improvements due to DSS showing higher WTP. In addition, adoption is also influenced by ease of use and pricing, underpinning the importance of user-friendly designs and clear cost justifications. DSSs with user-centric designs and clear cost justifications can enhance adoption rates.https://open-research-europe.ec.europa.eu/articles/4-142/v2Agriculture Decision Support Systems Integrated Pest Managementeng
spellingShingle Efi Vasileiou
Aurora García-Gallego
Jotham Jea Akaka
Mark Ramsden
Jean-Christian Tisserand
Nikolaos Georgantzis
Decision Support Systems adoption in pesticide management [version 2; peer review: 1 approved, 2 approved with reservations]
Open Research Europe
Agriculture
Decision Support Systems
Integrated Pest Management
eng
title Decision Support Systems adoption in pesticide management [version 2; peer review: 1 approved, 2 approved with reservations]
title_full Decision Support Systems adoption in pesticide management [version 2; peer review: 1 approved, 2 approved with reservations]
title_fullStr Decision Support Systems adoption in pesticide management [version 2; peer review: 1 approved, 2 approved with reservations]
title_full_unstemmed Decision Support Systems adoption in pesticide management [version 2; peer review: 1 approved, 2 approved with reservations]
title_short Decision Support Systems adoption in pesticide management [version 2; peer review: 1 approved, 2 approved with reservations]
title_sort decision support systems adoption in pesticide management version 2 peer review 1 approved 2 approved with reservations
topic Agriculture
Decision Support Systems
Integrated Pest Management
eng
url https://open-research-europe.ec.europa.eu/articles/4-142/v2
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AT jothamjeaakaka decisionsupportsystemsadoptioninpesticidemanagementversion2peerreview1approved2approvedwithreservations
AT markramsden decisionsupportsystemsadoptioninpesticidemanagementversion2peerreview1approved2approvedwithreservations
AT jeanchristiantisserand decisionsupportsystemsadoptioninpesticidemanagementversion2peerreview1approved2approvedwithreservations
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