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Strategic understanding of Malaysian online customers’ service quality preference through demographic customer profiling and e-product bundling

机译:通过人口统计的客户概况分析和电子产品捆绑对马来西亚在线客户的服务质量偏好的战略理解

摘要

In order to stay competitive in the arena of e-commerce, conventional e-marketing research have provided solutions to online businesses and marketing practitioners by understanding online purchasing behavior and thereby proposing various determinants influencing online purchasing behavior. Little research has been done in order to assist marketing practitioners to identify the precise online customer segmentation, making market targeting and positioning and use of effective marketing campaigns complex. Hence, this study aims to identify the appropriate online customer segmentation (product bundles) based on three determinants of online purchasing behavior, i.e. e-service quality, demographic profiles and types of product purchased. 680 useful data was collected from existing online shoppers and data mining technique was employed to identify the product bundles and decision trees were used for customer profiling. Findings have identified Tickets, Clothing and Travel product bundles as the basis of segmentation. Result from this study will assist online marketing practitioners to be conscious of online customers needs and astutely create marketing campaigns aiming at their targeted online customers segments
机译:为了在电子商务领域保持竞争力,常规的电子营销研究通过了解在线购买行为并由此提出影响在线购买行为的各种决定因素,为在线业务和营销从业人员提供了解决方案。为了帮助市场营销从业人员识别精确的在线客户细分,使市场定位和有效市场营销活动的定位和使用变得复杂,很少进行研究。因此,本研究旨在根据在线购买行为的三个决定因素,即电子服务质量,人口统计资料和所购买产品的类型,确定适当的在线客户细分(产品组合)。从现有的在线购物者那里收集了680个有用的数据,并且采用了数据挖掘技术来识别产品包,并使用决策树进行客户分析。调查结果确定了门票,服装和旅行产品包是细分的基础。这项研究的结果将帮助在线营销从业人员意识到在线客户的需求,并针对他们的目标在线客户细分精打细算地开展营销活动。

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