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

Autor: Marco Medici, Silvia Dello Russo, Maurizio Canavari, Vilma Xhakollari, Rungsaran Wongprawmas
Přispěvatelé: Canavari, Maurizio, Medici, Marco, Wongprawmas, Rungsaran, Xhakollari, Vilma, Russo, Silvia
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Irrigation
010504 meteorology & atmospheric sciences
Geography
Planning and Development
TJ807-830
Sample (statistics)
Management
Monitoring
Policy and Law
TD194-195
Technology acceptance model
01 natural sciences
Variable rate irrigation
Renewable energy sources
0502 economics and business
GE1-350
microeconomics_and_decision_sciences
0105 earth and related environmental sciences
Sustainable development
Environmental effects of industries and plants
Precision agriculture
Renewable Energy
Sustainability and the Environment
business.industry
05 social sciences
Environmental economics
Resource depletion
Environmental sciences
Variable (computer science)
Agriculture
Intention to adopt a technology
Fruit production
050211 marketing
Business
Attitudes towards the use of technology
Grapevine production
Zdroj: Sustainability, Vol 13, Iss 1879, p 1879 (2021)
Sustainability
Volume 13
Issue 4
Popis: 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.
Databáze: OpenAIRE
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