通过大规模协作系统获取商业生态系统的智能

L. Hancu
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引用次数: 0

摘要

过去几年的经济动荡对世界各地的中小型和大型实体构成了真正的挑战,它们的年营业额和利润受到总需求崩溃和商业风险上升的严重影响。在这种情况下,寻找长期业务合作伙伴变得更加困难,因为市场条件瞬息万变,业务实体的财务稳定性也是如此。在本文中,我们将讨论如何从业务不可见Web (BIW)中提取有价值的信息,这是业务实体使用的协作Web (Web 2.0)的一部分,以便通过使用大规模协作系统进行交易和报告。研究文献表明,对于预测经济中各业务部门之间的依赖关系,可以获得有价值的知识。这些知识可以从Web中提取出来并用于各种商业智能任务,例如选择新的合并或收购合作伙伴(战略决策)或简单地在各种可用的供应商之间进行选择(操作决策)。
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Acquiring business ecosystem's intelligence through Large-Scale Collaborative Systems
The last years' economic turmoil constitutes a real challenge for the small, medium and large entities from all over the world, whose yearly turnovers and profits are seriously affected by the collapse of the aggregated demand and rise of business risks. In this context, the finding of a long-term business partner becomes more difficult, as market conditions change rapidly, and so does the financial stability of the business entities. In this article, we discuss how valuable information can be extracted from the Business Invisible Web (BIW), the part of the collaborative Web (Web 2.0) used by business entities in order to make transactions and report them, by use of Large-Scale Collaborative Systems. The research literature has shown that valuable knowledge can be derived for predicting the dependencies between various business sectors from the economy. Such knowledge can be extracted from the Web and used in a variety of Business Intelligence tasks, such as choosing a new Merger or Acquisition partner (strategic decisions) or simply choosing between a variety of available suppliers (operational decisions).
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