A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy
Irrigated agriculture determines large blue water withdrawals, and it is considered a key intervention area to reach sustainable development objectives. Precision agriculture technologies have the potential to mitigate water resource depletion that often characterises conventional agricultural appro...
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Veröffentlicht in: | Sustainability 2021-02, Vol.13 (4), p.1879 |
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creator | Canavari, Maurizio Medici, Marco Wongprawmas, Rungsaran Xhakollari, Vilma Russo, Silvia |
description | Irrigated agriculture determines large blue water withdrawals, and it is considered a key intervention area to reach sustainable development objectives. Precision agriculture technologies have the potential to mitigate water resource depletion that often characterises conventional agricultural approaches. This study investigates the factors influencing farmers’ intentions to adopt variable rate irrigation (VRI) technology. The Technology Acceptance Model 3 (TAM-3) was employed as a theoretical framework to design a survey to identify the factors influencing farmers’ decision-making process when adopting VRI. Data were gathered through quantitative face-to-face interviews with a sample of 138 fruit and grapevine producers from the Northeast of Italy (Veneto, Emilia-Romagna, Trentino-Alto Adige, Friuli-Venezia Giulia). Data were analysed using partial least squares path modelling (PLS-PM). The results highlight that personal attitudes, such as perceived usefulness and subjective norm, positively influence the intention to adopt VRI. Additionally, the perceived ease of use positively affects intention, but it is moderated by subject experience. |
doi_str_mv | 10.3390/su13041879 |
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Precision agriculture technologies have the potential to mitigate water resource depletion that often characterises conventional agricultural approaches. This study investigates the factors influencing farmers’ intentions to adopt variable rate irrigation (VRI) technology. The Technology Acceptance Model 3 (TAM-3) was employed as a theoretical framework to design a survey to identify the factors influencing farmers’ decision-making process when adopting VRI. Data were gathered through quantitative face-to-face interviews with a sample of 138 fruit and grapevine producers from the Northeast of Italy (Veneto, Emilia-Romagna, Trentino-Alto Adige, Friuli-Venezia Giulia). Data were analysed using partial least squares path modelling (PLS-PM). The results highlight that personal attitudes, such as perceived usefulness and subjective norm, positively influence the intention to adopt VRI. 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subjects | Agricultural development Agricultural sciences Agricultural technology Agriculture Agriculture, economy and politics Data analysis Decision making Depletion Efficiency Farmers Information technology Irrigation Life Sciences Perceptions Precision farming Questionnaires Resource depletion Sustainability Sustainable agriculture Sustainable development Technology Acceptance Model Technology adoption Variables Water resources Water shortages |
title | A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy |
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