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The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements

机译:周期性的行业表:根据模仿元素的孟德莱夫周期表的模仿,检测合作机会

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he concept of collaborative networks has been encountered very often lately as the answer when trying to adapt and improve enterprises in these highly competitive business environments, therefore the urge for constantly addressing this topic.A lot of work-related to collaborative networks has been done so far, from defining network types to leveling partnerships and proposing models for partnership developments.But the lack of tackling a very important obstacle, which is the difficulty of detecting and anticipating collaboration opportunities between enterprises, inspired this research.In this article, a new theoretical opportunity detection approach is proposed based on enterprise characterization concept, KPI classification as well as collaboration types.This detection approach is a table of industrial classifications that imitates the Mendeleev periodic table from the concept point of view.A fictional example from an industrial context is shown to explain the usage of this approach accompanied by discussion about future work and limitations.
机译:他的概念很近很久经常遇到了在这些高竞争激烈的商业环境中适应和改进企业时的答案,因此不断解决这一主题的答案。已经完成了与协作网络的大量工作相关的工作远程,将网络类型定义为调整伙伴关系并提出伙伴关系发展模型。但缺乏解决一个非常重要的障碍,这是检测和预测企业之间的合作机会的难度,激励了这项研究。在本文中,这是一种新的理论基于企业特征概念,KPI分类以及协作类型提出机会检测方法。该检测方法是从概念视角模仿Mendeleev周期表的工业分类表。显示了来自工业背景的虚构示例解释这种方法的用法伴随着未来的工作和限制的讨论。

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