How Do Instagram Messages Affect the Use of Renewable Energy? -- Application of an Extended Information Adoption Model

IF 6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
N. Komendantova, T. Zobeidi, M. Yazdanpanah
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引用次数: 0

Abstract

As social media can play an important role in creating awareness of the need to mitigate climate change and of the benefits of renewable energy (RE), we examined the influences of social media on attitudes to renewable energy, including intention to use it. This study is novel in two ways: it simultaneously considers message characteristics and message-receiver perceptions as factors influencing the acceptance of renewable energy; and it is also the first study to use an extended information adoption model to evaluate the impact of Instagram on information adoption and the intention to use renewable energy sources. Our questionnaire, based on the theory of information adoption, included items on attitude toward information and trust in Instagram, and was randomly distributed online among followers of renewable energy pages on Instagram. A total of 173 people completed the questionnaire. Structural equation modeling showed that quality of argument had a positive and direct effect on the perceived usefulness of information. Source credibility as a peripheral path also indirectly increased perceived usefulness by changing attitude toward information. Moreover, perceived usefulness had a direct impact on information adoption and increased information adoption through trust of the materials.
Instagram 信息如何影响可再生能源的使用?-- 扩展信息采用模型的应用
由于社交媒体在使人们认识到减缓气候变化的必要性和可再生能源(RE)的益处方面可以发挥重要作用,我们研究了社交媒体对可再生能源态度的影响,包括使用可再生能源的意向。这项研究在两个方面具有新颖性:它同时考虑了信息特征和信息接收者的看法这两个影响可再生能源接受度的因素;这也是第一项使用扩展信息采用模型来评估 Instagram 对信息采用和可再生能源使用意向的影响的研究。我们的问卷以信息采纳理论为基础,包括对信息的态度和对 Instagram 的信任等项目,并在 Instagram 上可再生能源页面的关注者中随机在线发放。共有 173 人填写了问卷。结构方程模型显示,论证质量对感知到的信息有用性有直接的正向影响。作为外围路径的来源可信度也通过改变对信息的态度间接提高了感知有用性。此外,感知有用性对信息采用有直接影响,并通过对资料的信任增加信息采用。
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来源期刊
Journal of Environmental Informatics
Journal of Environmental Informatics ENVIRONMENTAL SCIENCES-
CiteScore
12.40
自引率
2.90%
发文量
7
审稿时长
24 months
期刊介绍: Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include: - Planning of energy, environmental and ecological management systems - Simulation, optimization and Environmental decision support - Environmental geomatics - GIS, RS and other spatial information technologies - Informatics for environmental chemistry and biochemistry - Environmental applications of functional materials - Environmental phenomena at atomic, molecular and macromolecular scales - Modeling of chemical, biological and environmental processes - Modeling of biotechnological systems for enhanced pollution mitigation - Computer graphics and visualization for environmental decision support - Artificial intelligence and expert systems for environmental applications - Environmental statistics and risk analysis - Climate modeling, downscaling, impact assessment, and adaptation planning - Other areas of environmental systems science and information technology.
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