The term "automation" was also coined for linguistic use

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The second industrial wave (Industry 2.0) followed on from this and further enabled the mass production of goods. Along with this, questions arose about how large groups of people should be organized along the lines of work with machines. The first approaches to classical management theory, which still resonate today, emerged from this - prominent representatives are Frederick Taylor, Henri Fayol and Max Weber. These approaches were driven further by automation in the third industrial revolution (Industry 3.0). However, an essential development feature is reflected here when considering the social aspect in the organizational structure. People became operators of machines and questions related to monitoring instruments. Sociological and psychological aspects - key aspects of neoclassical management theory - came more to the fore. The key word in this context is the Hawthorne experiments, which investigated the promotion of productivity through the design of the immediate work environment.

Less than half a century later, we have arrived where we are now. Namely, in the fourth industrial revolution (Industry 4.0) or, in other words, "the digital age" and the increased development of modern management theories. Modern management theories are more or less what is not classical management theory. Here, work is more analytical and data-driven. This is because venezuela consumer email list access is now possible and quantitative properties as well as an increased consideration of complex relationships in detail with system theory approaches correspond to the prevailing approach. Whereas in the previous industrial revolutions the individual was mainly absorbed into the big picture, the individual is now coming to the fore again and becoming the center of the requirement - it is therefore becoming more human-centered. The technical structure is merging into the social structure and thus leading to human-machine collaboration - caution! Collaboration is not cooperation. The aspect of "trust" is the cognitive bridge that must be built for such successful collaboration and represents the challenge of the coming decades. Some scientists, primarily from the research fields surrounding decision theory – including operations research – refer to this development as Industry 5.0.