Extended Technology Acceptance Model (TAM2) to Understand Decision Making for Grain Bin Hazards Among Texas Farmers

Pub Date : 2022-01-01 DOI:10.13031/jash.15135
Cara London, J. Moore
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Abstract

HighlightsHazard exposure is not enough to catalyze adoption of grain bin temperature probes.Perceived ease of use significantly influenced farm technology adoption among Texas farmers.Demonstrated that low barriers to access and configuration into current farm operations will increase adoption of life-saving technologies. ABSTRACT.This research aimed to understand the profile of temperature probe adopters as compared to non-adopters in the context of preventing grain bin deaths. Our analysis is based on a unique data set obtained from a survey of 54 farmers from Texas. The survey was built using the TAM2 model as a foundation. We employed standard regression models to identify factors that contributed to the adoption of temperature probes among other technologies. We found that hazard exposure was not a predictor for temperature probe adoption. Network relationships also did not significantly influence adoption. Technology adoption was predicted by six perceptions: subjective norms, image (status), quality of the technology, access to the technology, access to information about the technology, and compatibility. The findings of this study suggest that instead of the current safety advice used to convince farmers to use grain bin probes, stakeholders should inform them about the direct positive results of using the probes. Current campaigns against grain bin entrapment should emphasize through demonstration the benefits of grain bin probes on stored grain products. Although extension and private offices may not directly impact the final decision making, they should seriously consider expending the effort to lower the barrier to access to positively influence the adoption rate. Keywords: Adoption, Agricultural extension, Behavior model, Decision making factors, Grain entrapment, Grain quality, Safety, TAM2, Technology.
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基于扩展技术接受模型(TAM2)的得克萨斯农民粮仓灾害决策研究
暴露在危险中并不足以促进粮仓温度探头的采用。感知易用性显著影响了德州农民对农业技术的采用。证明低门槛获取和配置到当前的农场经营将增加救生技术的采用。摘要本研究旨在了解温度探头采用者与非采用者在预防粮仓死亡方面的情况。我们的分析基于一组独特的数据,这些数据来自对德克萨斯州54位农民的调查。该调查是使用TAM2模型作为基础构建的。我们采用标准回归模型来确定在其他技术中采用温度探头的因素。我们发现危险暴露并不是温度探头采用的预测因子。网络关系对采用率也没有显著影响。技术采用由六种感知来预测:主观规范、形象(状态)、技术质量、对技术的获取、对技术信息的获取和兼容性。这项研究的结果表明,与其目前用来说服农民使用粮仓探测器的安全建议,利益相关者应该告诉他们使用探测器的直接积极结果。当前反对粮仓诱捕的运动应通过示范强调粮仓探头对储存粮食产品的好处。虽然扩展办事处和私人办事处可能不会直接影响最后的决策,但它们应认真考虑作出努力,降低进入的障碍,从而对采用率产生积极影响。关键词:收养,农业推广,行为模型,决策因素,粮食诱捕,粮食质量,安全,TAM2,技术
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