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TRAINING A MODERN MANAGER IN AN OPEN SOCIETY: DEVELOPMENT OF ALGORITHMIC COMPETENCY OF A PUBLIC GOVERNANCE SPECIALIST

Journal: International Journal of Management (IJM) (Vol.11, No. 5)

Publication Date:

Authors : ; ;

Page : 1289-1298

Keywords : Algorithm; Algorithmic Competency; Algorithmic Competencies; Algorithmic Thinking; Algorithmic Culture; Contractor; Managerial Decision Making; Public Management; Advanced Manager; Managerial Work; Specialist;

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Abstract

The article analyzes approaches to reformation of public administration principles through the use of information and telecommunication methods. The transformation lies in the necessity of developing and acquiring competencies, fulfilment and implementation of algorithmic tasks in the process of managerial decision-making. It highlights legislative initiatives and concepts, which determine the state government's core effort in implementing electronic governance, e-document management and online interaction between public administration specialists and the society. The concept of algorithm is considered separately. The research has helped to explain the reasonableness of using algorithms as a relevant resource that ensures consistent managerial work on the part of a public administration professional, to achieve the best result. It highlights the relationship between the concepts of public administration and algorithmic competency as integral elements of modern managers' informational and digital awareness. The article describes the concept of algorithmic competency as a connection between algorithmic culture and algorithmic thinking, and it reveals a relationship between summation of algorithmic instructions in management and building schematic flowcharts in programming. It describes the reasonability of using this relationship for professionals to prevent errors in managerial decision-making. Specialists' ability to organize their activities into algorithms and carry out algorithmic categorization (skills, thinking, culture) is an effective tool against errors, both in the process of managerial decision-making and afterwards, particularly when public management specialists are building and performing an algorithm of consecutive managerial activities.

Last modified: 2021-01-21 15:53:06