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Processing Online Market Information Based on Users' Online Information Behavior

机译:基于用户在线信息行为的在线市场信息处理

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Market information management has always been an essential component of good marketing management practice, but only possession of market information is not sufficient. Recently, processing market information has been of increasing interest to organization researchers, they suggested that improving the market information processing capabilities is important for marketing managers to understand and track changes in usersȁ9; needs, wants, preferences and consumption patterns. However, although the literature pertaining to the study of organizational information processing is growing, there lacks a specific analysis as to using online usersȁ9; information behavior to process market information, research is still needed to guide firms on how to integrate and manage market information based on consumer behavior. In an attempt to fill in the gap, this study reviews the relevant literatures and proposes that using usersȁ9; three-dimensional information behavior to capture the userȁ9;s interest in information and filter incoming information will be a very efficient way to process market information. We will use the Mobile Internet click stream data from some WAP website to characterize the usersȁ9; online information behavior. In addition, we will examine the relationships between the three dimensions of consumer online information behavior and the performance of the website. This study attempts to contribute to a better understanding of market information processing, our understanding of how organizations process market information can be advanced substantially on the basis of principles information processing.
机译:市场信息管理一直是良好营销管理实践的重要组成部分,但是仅拥有市场信息是不够的。最近,组织研究人员对处理市场信息越来越感兴趣,他们认为提高市场信息处理能力对于营销经理理解和跟踪用户的变化很重要[9]。需求,需求,偏好和消费方式。但是,尽管有关组织信息处理研究的文献在不断增长,但对于使用在线用户ȁ缺乏具体的分析[9]。信息行为来处理市场信息,仍然需要进行研究以指导公司如何基于消费者行为来整合和管理市场信息。为了填补这一空白,本研究回顾了相关文献,并建议使用用户9。捕捉用户ȁ9的三维信息行为;对信息感兴趣并过滤传入的信息将是处理市场信息的一种非常有效的方法。我们将使用来自某些WAP网站的移动互联网点击流数据来表征用户9。在线信息行为。此外,我们还将研究消费者在线信息行为的三个维度与网站性能之间的关系。这项研究试图有助于更好地理解市场信息处理,我们对组织如何处理市场信息的理解可以在原理信息处理的基础上得到实质性的提高。

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