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Maddallah Bbasheer Abboud Al-Nwaiqah: Theoretıcal Foundatıons for the Formatıon of Admınıstratıve Decısıons
Analog - the image of an object, or a situation by other means. For example: lake on
the map - in blue, organizational chart; graphs of the ratio of various indicators of
the enterprise.
Mathematical symbolic models are used to describe the characteristics and
properties of an object or events in the form of mathematical symbols, formulas,
calculations, economic analysis. In mathematical models, symbols are used to
express the dependence of some quantities on others [Imran, Muhammad (2015)].
RELEVANCE OF THIS TOPIC:
The relevance of this topic is that the number of all kinds of specific models of
management science is almost as large as the number of problems that have to be
solved both in determining the goals of activities and in the process of achieving the
goals of the enterprise.
THE PURPOSE:
Purpose of this paper is to study management science models.
THE OBJECTIVES:
The objectives of the objectives of this work are to familiarize with the methods and
models of justifying management decisions and ways to improve the efficiency of
management decisions. this work is to familiarize with the methods and models of
justifying management decisions and ways to improve the efficiency of management
decisions.
THE SCIENTIFIC NOVELTY:
The scientific novelty of this article is in a thorough study of theoretical sources and
the application of the knowledge gained in modern realities.
METHODS OF MAKING MANAGERIAL DECISIONS:
There are such methods of making managerial decisions:
Qualitative forecasting methods: Forecasting the future is carried out by experts
who are contacted for an in-depth analysis of the issue before making a management
decision (in this case, the opinion of competitors, consumers are used, government
estimates are studied, expert reviews are carried out, etc.). For example, a consumer
expectation model is a forecast that is based on a survey of businesses and
customers. They are asked to assess their own future needs and new requirements.
After collecting all the data and making corrections for overestimation or
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