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A Mashup Application to Support Complex Decision Making for Retail Consumers

机译:一个Mashup应用程序支持零售消费者的复杂决策

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摘要

Purchase processes often require complex decision making and consumers frequently use Web information sources to support these decisions. However, increasing amounts of information can make finding appropriate information problematic. This information overload, coupled with decision complexity, can increase time required to make a decision and reduce decision quality. This creates a need for tools that support these decision-making processes. Online tools that bring together data and partial solutions are one option to improve decision making in complex, multi-criteria environments. An experiment using a prototype mashup application indicates that these types of applications may significantly decrease time spent and improve overall quality of complex retail decisions.
机译:购买过程通常需要复杂的决策,而消费者经常使用Web信息源来支持这些决策。但是,信息量的增加可能会使查找适当的信息成为问题。这种信息超载,加上决策复杂性,可能会增加决策所需的时间并降低决策质量。这就需要支持这些决策过程的工具。将数据和部分解决方案结合在一起的在线工具是改善复杂,多标准环境中决策的一种选择。使用原型mashup应用程序进行的实验表明,这些类型的应用程序可以显着减少花费的时间并提高复杂零售决策的整体质量。

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