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The Key Role of Social Media in Identifying Consumer Opinions for Building Sustainable Competitive Advantages

机译:社交媒体在识别消费者意见以建立可持续竞争优势中的关键作用

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The continuous increase of competition in international markets and the diversification of consumers' interests and expectations of products and services expressed on the social media networks have led us to investigate how the opinions of consumers can significantly influence the changes in the strategy of the organizations. In order to find out the role of social media networks for developing a successful business based on consistent competitive advantages, we chose sentiment analysis and lexicon-based approach. In this paper we used a public dataset Women's Clothing E-Commerce Review, consisting of real commercial data collected by Nick Brooks, but being anonymized, to analyze the customers' reviews on fashion. The original dataset consists of 23486 customer reviews and 10 variables. The data are text and numerical types. First, we will analyze the numerical types to find out existing connections between data. We apply the supervised techniques, known as the corpus-based approach, such as neural networks and logistic regression by means of IBM SPSS Statistics v20 software. Thus, the manufacturing companies can discover in the opinions of the consumers the good parts of their products and services, which should be maintained and developed, but also not as good and totally inadequate characteristics of their products and services, which should be replaced. The results of our research help companies discover the key success factors for a business that can contribute significantly to their competitive advantages and also where they can intervene to change certain characteristics of the products and services offered on the market.
机译:国际市场竞争的不断加剧,以及消费者兴趣的多样化以及在社交媒体网络上表达的对产品和服务的期望,促使我们研究消费者的意见如何对组织战略的改变产生重大影响。为了找出社交媒体网络在基于持续竞争优势的基础上发展成功业务的作用,我们选择了情感分析和基于词典的方法。在本文中,我们使用了公开数据集“女装电子商务评论”,该数据集由尼克·布鲁克斯(Nick Brooks)收集但被匿名化的真实商业数据组成,用于分析顾客对时尚的评论。原始数据集包含23486个客户评论和10个变量。数据是文本和数字类型。首先,我们将分析数值类型以找出数据之间的现有联系。我们通过IBM SPSS Statistics v20软件应用被监督的技术,称为基于语料库的方法,例如神经网络和逻辑回归。因此,制造公司可以在消费者的意见中发现应该维护和开发的产品和服务的良好部分,但是也不能发现应该被替换的产品和服务的良好和完全不足的特征。我们的研究结果可帮助公司发现关键的业务成功因素,这些因素可以显着提高其竞争优势,并可以在其中进行干预以改变市场上提供的产品和服务的某些特征。

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