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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F1000 Research Ltd
2024-09-01
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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. |
format | Article |
id | doaj-art-044dc06e75a047708501c0be0edd04b4 |
institution | Kabale University |
issn | 2732-5121 |
language | English |
publishDate | 2024-09-01 |
publisher | F1000 Research Ltd |
record_format | Article |
series | Open Research Europe |
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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