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Big Data Analysis on Demographic Characteristics of Chinese Mobile Banking Users

机译:中国手机银行用户人口统计特征的大数据分析

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Mobile banking as a kind of new combinative product of electronic currency with the advantage of handling a variety of financial businesses whenever and wherever, is rapidly becoming an alternative, efficient and relatively safe way to conduct banking services, compared to traditional banking. A lot of research has been conducted in this field. However, it can be seen that most researches are focusing on the influence factors of mobile banking adoption. Specific researches on the relationship among demographic characteristics and the mobile banking functions and marketing strategies are quite few. This article aims to offer a comprehensive analysis of the influence of demographic characteristic factors on the use of mobile banking functions via the use of questionnaires and big data analytics. Several cross analyses and decision trees are used in the process in order to provide banks with implications to find potential target clients groups according to the demographic characteristics, which can help them to improve certain products and services. Since the investigation includes both users and nonusers of mobile banking, Chinese domestic banks can plan, to not only find potential new customers, but also retain existing clients based on the results of the analysis.
机译:与传统银行业务相比,移动银行业务是一种新的电子货币组合产品,具有随时随地处理各种金融业务的优势,正迅速成为一种替代,高效且相对安全的开展银行服务的方式。在该领域已经进行了很多研究。但是,可以看出,大多数研究都集中在移动银行采用的影响因素上。关于人口统计学特征与移动银行功能和营销策略之间关系的具体研究很少。本文旨在通过使用问卷调查和大数据分析来全面分析人口统计学特征因素对移动银行功能使用的影响。在此过程中使用了几种交叉分析和决策树,以便向银行提供根据人口统计特征找到潜在目标客户群的含义,这可以帮助他们改善某些产品和服务。由于调查既包括移动银行的用户,也包括非移动银行的用户,因此中国国内银行可以计划,不仅要寻找潜在的新客户,而且还要根据分析结果保留现有客户。

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