Call for Digital TRANSFORMATION of Economic Science
Digital Transformation of Economic Science refers to the process of creating, developing, and disseminating – both theoretical and applied – the functional programming constructs of a new generation of digital technologies for managerial modeling of the economy of enterprises for machines. A six-month course of study, both theoretical and applied, on the functional programming constructs of this new type of software would help acquire a new kind of knowledge and understanding of the economic management of the enterprise for machines. An understanding that would compare much more favorably to that acquired after a complete degree in economics at any leading university, both in terms of validity and in terms of practicability for the real industrial world.
The idea of Digital Transformation of Economic Science is based on six disregarded evident facts and one little-known fact.
DISREGARDED EVIDENT FACTS
The industry for machines is a leading industry of paramount importance for the development of all other industries.
The scientific understanding of a universal model of the enterprise for machines is the most significant knowledge and task of economic science; this designates it as a “fundamental scientific knowledge of economy.”
The history of the fundamental scientific knowledge of economy clearly shows three engineering waves of development, all originating in the USA.
Compared to the fundamental scientific knowledge of medicine, the fundamental scientific knowledge of economy is still at a “medieval” level, and therefore, it still has major functional flaws.
The flaws of the fundamental scientific knowledge of economy lead to a negative development of human capital in the Western world.
The problem with the negative development of the human capital in the Western world has only one reasonable SOLUTION: the development and widespread study of a new type of ERP systems — holistic ERP systems.
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