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                    <dim:field mdschema="dc" element="title" lang="en">Time and company management in cases of fake news within the automotive industry</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2023</dim:field>
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                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:54131" confidence="-1">M. Aleksić</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0003-3538-6284" confidence="-1">P. Dakić</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:54133" confidence="-1">I. Stupavský</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:54134" confidence="-1">V. Todorović</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">The purpose of this paper is to analyze the current state of the art of time management in the automotive industry. The goal is to describe the importance of a successful manager’s ability to set priorities and then divide them according to importance. The focus is to use the algorithm to suspend fake news that will disrupt the further flow of events in the work process and direct the future to artificial intelligence. In this paper, we present a case study of the use of artificial intelligence to detect fake news. The results of the study indicate that time management is a quality that every successful manager must possess and on the basis of which the absence of delays, perfectionism, and overcoming lack of motivation is reduced. This is due to the fact that in terms of quality technologies 4.0 (K4. 0) it is possible to apply intelligent technologies, including countries that own the automotive industry, making them competitive and resistant to the influence of fake news, as well as the need to automate the implementation of security policies related to with the appearance of fake news. To understand the challenges in this field, we looked at findings related to human-machine interaction across various studies. Business efficiency at all industry levels requires the ability to detect and prevent the spread of fake news. The loss of consumer confidence due to the distribution of fake news is one of the damaging factors for the future development of companies.</dim:field>
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