Wine growers’ propensity to adopt digital precision farming technologies: integrating risk attitudes to the Technology Acceptance Model

Q1 Economics, Econometrics and Finance
Adriano Biondo, Giuseppina Rizzo, Giuseppina Migliore, Antonino Galati
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Abstract

The objective of this study is to explore the propensity of wine growers to implement precision agriculture technologies in their core business. The investigation will focus on the main cognitive, social and risk factors affecting this intention. The Technology Acceptance Model, TAM2, integrated with risk attitudes was adopted. Data were collected from 128 Sicilian wine producers using a questionnaire, following which the PLS-SEM was employed for analysis. The findings reveal that Perceived usefulness and Ease of use of innovative technologies are the most influential factors in the decision-making process. Nevertheless, farmers’ risk attitudes have been shown to significantly influence their decisions about adopting Precision Agriculture Technologies. Despite the potential benefits, farmers who are risk-averse demonstrate a greater reluctance. Additional barriers include high costs, lack of training and compatibility with traditional practices. This study enhances the existing literature by offering insights into the key factors influencing farmers’ intention to implement PATs. Moreover, the findings offer significant insights for wine businesses and policymakers, underscoring the efficacy of targeted training programmes, risk mitigation strategies, and financial incentives in expediting the digital transformation of the viticulture sector. More in detail, the results allow wineries to understand the main barriers to innovation in the management of their businesses. This understanding enables them to define targeted strategies. Secondly, the results can guide the definition of policy measures with the potential to effect meaningful change in the wine sector, with a view to economic and environmental sustainability. The study contributes to the sustainable future of the agricultural industry by reducing the digital divide, enhancing productivity and environmental efficiency, and improving market competitiveness.
葡萄酒种植者采用数字精准农业技术的倾向:将风险态度整合到技术接受模型中
本研究的目的是探讨葡萄酒种植者在其核心业务中实施精准农业技术的倾向。调查将侧重于影响这一意向的主要认知、社会和风险因素。技术接受模型TAM2与风险态度相结合。通过问卷调查收集了来自128个西西里葡萄酒生产商的数据,随后采用PLS-SEM进行分析。研究结果表明,创新技术的感知有用性和易用性是影响决策过程的最重要因素。然而,农民的风险态度已被证明对他们采用精准农业技术的决定有重大影响。尽管有潜在的好处,但厌恶风险的农民表现出更大的不情愿。其他障碍包括成本高、缺乏培训以及与传统做法的兼容性。本研究通过深入了解影响农民实施pat意愿的关键因素,完善了现有文献。此外,研究结果为葡萄酒企业和政策制定者提供了重要见解,强调了有针对性的培训计划、风险缓解战略和财政激励措施在加速葡萄种植业数字化转型方面的有效性。更详细地说,研究结果让酒庄了解了企业管理创新的主要障碍。这种理解使他们能够确定有针对性的策略。其次,研究结果可以指导政策措施的定义,这些政策措施可能会对葡萄酒行业产生有意义的变化,从而实现经济和环境的可持续性。该研究通过缩小数字鸿沟、提高生产力和环境效率以及提高市场竞争力,为农业产业的可持续未来做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Research in Globalization
Research in Globalization Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
8.00
自引率
0.00%
发文量
31
审稿时长
79 days
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