Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy

Version 1 : Received: 30 December 2020 / Approved: 31 December 2020 / Online: 31 December 2020 (10:10:50 CET)

A peer-reviewed article of this Preprint also exists.

Canavari, M.; Medici, M.; Wongprawmas, R.; Xhakollary, V.; Russo, S. A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy. Sustainability 2021, 13, 1879. Canavari, M.; Medici, M.; Wongprawmas, R.; Xhakollary, V.; Russo, S. A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy. Sustainability 2021, 13, 1879.

Abstract

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 characterizes 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 analyzed 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. Also, the perceived ease of use positively affects intention, but it is moderated by subject experience.

Keywords

Precision agriculture; Intention to adopt a technology; Attitudes towards the use of technology; Technology acceptance model; Variable rate irrigation; Fruit production; Grapevine production

Subject

Social Sciences, Decision Sciences

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