Analisis Niat Pembelian Pada Instagram Online Shopping Menggunakan Information Acceptance Model (IACM)

W. Hidayat, Rangga Sanjaya, Ali Mustopa
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引用次数: 2

Abstract

Along with the development of technology and information, it also has an impact on the product sales media, one of which is through Instagram online shopping. The results of the surf show that comments (electronic word of mount) are on Instagram online shopping. This study aims to analyze the effect of the electronic word of month (EWOM) on purchase intentions using the Information Acceptance Model (IACM) model. The method used in this research is descriptive quantitative to find out the cause and effect relationship of IACM variables. The population in this research is Instagram users who have seen product promotions through Instagram. The sampling technique used is incidental sampling by distributing questionnaires online. The data analysis technique used is multiple linear regression analysis. Based on the results of the research, it can be concluded that the electronic word of mount found on Instagram online shopping has a significant partial effect on purchase intention. This can be seen from the results of the calculation of all the t-count variables 0.191 and the  significance level 0.05. Based on the results of the calculation of the determination coefficient (R2), the magnitude of the effect on the benefits of information is information quality 19.5%, information credibility 41.3%, information needs 13.9%, and attitudes towards information 28.6%. The results of information adoption are affected by 11.2% of the benefits of information. Other lts show that 24.9% of information adoption affects purchase intentions. While attitudes toward information affect 38.9% of purchase intentions.
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利用信息接受模型(IACM)分析 Instagram 网上购物的购买意向
随着科技和信息的发展,也对产品的销售媒介产生了影响,其中之一就是通过Instagram网上购物。冲浪的结果显示,评论(电子词汇)是在Instagram网上购物。本研究旨在运用资讯接受模型(Information Acceptance Model, IACM)分析电子月词对购买意愿的影响。本研究采用描述性定量的方法来找出IACM变量之间的因果关系。这项研究的人群是通过Instagram看到产品促销的Instagram用户。使用的抽样技术是通过在线分发问卷的偶然抽样。使用的数据分析技术是多元线性回归分析。根据研究结果,可以得出结论,在Instagram网上购物中发现的mount电子词对购买意愿有显著的局部影响。这可以从所有t-count变量0.191和显著性水平0.05的计算结果中看出。根据决定系数(R2)的计算结果,对信息效益的影响程度分别为:信息质量19.5%、信息可信度41.3%、信息需求13.9%、信息态度28.6%。信息采纳的结果受到11.2%的信息收益的影响。其他数据显示,24.9%的信息采纳会影响购买意愿。而对信息的态度影响了38.9%的购买意愿。
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