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Context-information support for B2B collaboration

机译:B2B协作的上下文信息支持

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Context information is pervasive and is being tapped by many spheres of human endeavour to enhance decision making. Examples include location-based advertisements and user personalisation. Context-aware computing to facilitate Business-to-Business (B2B) collaboration is largely unexplored. Short-term and dynamic B2B collaboration can benefit from context awareness, as the context of collaboration is often changing and such collaborations must be formed in a short time and with ease (i.e., with as little human intervention as possible). This paper focuses on a specific aspect of such collaborations, namely, partner selection, to support pervasive B2B connectivity in supply chains. It is a key ingredient for dynamic B2B collaboration. Such collaborations are expected to take place on the internet, leveraging prevalent web and context-aware technologies. The aim of this paper is to review existing literature to gather an understanding of context and how the various elements of context are modelled, and investigate how such context models can be adapted to support partner selection in B2B collaboration. The review confirms that context information has indeed not been used in supporting B2B collaboration, though some context aspects from existing context-aware applications can be adapted. As such, a more holistic approach towards the formulation of the B2B Context Model is taken, with a review of supplier selection criteria as an additional foundation for the model.
机译:上下文信息无处不在,并被人类努力提高决策水平的许多领域所利用。示例包括基于位置的广告和用户个性化。促进企业对企业(B2B)协作的上下文感知计算在很大程度上尚未开发。短期和动态的B2B协作可从上下文感知中受益,因为协作的上下文经常在变化,因此此类协作必须在短时间内轻松地形成(即,尽可能减少人工干预)。本文重点关注此类合作的一个特定方面,即合作伙伴选择,以支持供应链中普遍存在的B2B连接。它是动态B2B合作的关键要素。可以利用流行的Web和上下文感知技术在互联网上进行此类合作。本文的目的是回顾现有文献,以收集对上下文的理解以及如何对上下文的各种元素建模,并研究如何在B2B协作中调整此类上下文模型以支持合作伙伴选择。审查确认,尽管可以改编现有上下文感知应用程序中的某些上下文方面,但上下文信息确实并未用于支持B2B协作。因此,采用了一种更全面的方法来制定B2B上下文模型,并回顾了供应商选择标准,作为该模型的附加基础。

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