The aim of the article is theoretical characterization of wild cards as future surprising events from today's point of view difficult to anticipate, with a low probability of joining, a significant, negative or positive impact. There have been done the definitional analysis with examples and characterized wide range of conceptual substitutes. In addition, it was done and shown a real analysis of the wild cards in practical terms in selected areas of modern logistics, such as: 3D printing, augmented reality, Big Data, cloud logistics, Internet of Things, robotics & automation, self-driving vehicles, as drivers of the fourth industrial revolution. The implementation of these concepts requires appropriate tools of cooperation between the all parties, a new way of joining and merging of systems such as: manufacturing, shipping, transport, logistics, sales channels, service, etc. These phenomena are so new and complex, and therefore uncertain that require in-depth prospective analysis. One of them may be the identification and analysis of potential wild cards.
|Magruk, Andrzej, Identification a priori of wild cards in the context of uncertain events in the modern logistics||2018-05-21|
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