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Logistics IT support solutions in Zala County

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Industry 4.0 solutions such as the use of AI are becoming increasingly visible in everyday logistics processes. Many publications have already dealt with what technological innovations could be introduced to improve the flow of materials, but relatively few have dealt with the extent to which these theoretical solutions are also present in practice. In connection with this gap, the current research aims to examine the effectiveness and impact of AI use in the logistics field. This paper is a follow-up study on the topic as the logistics AI use was already analyzed in Pest County in the framework of this study direction. Since this study is still the second step of the already commenced research work, the very study does not try to draw conclusions leading to generalization but rather aims to draw causal conclusions of a pilot nature. In the research tools, the paper uses the qualitative design from the previous study (applied in another geographical territory-Zala County) but at the same time examines other analyzing methods like SEM modelling as a potential tool to be integrated.
Centre for Evaluation in Education and Science (CEON/CEES)
Title: Logistics IT support solutions in Zala County
Description:
Industry 4.
0 solutions such as the use of AI are becoming increasingly visible in everyday logistics processes.
Many publications have already dealt with what technological innovations could be introduced to improve the flow of materials, but relatively few have dealt with the extent to which these theoretical solutions are also present in practice.
In connection with this gap, the current research aims to examine the effectiveness and impact of AI use in the logistics field.
This paper is a follow-up study on the topic as the logistics AI use was already analyzed in Pest County in the framework of this study direction.
Since this study is still the second step of the already commenced research work, the very study does not try to draw conclusions leading to generalization but rather aims to draw causal conclusions of a pilot nature.
In the research tools, the paper uses the qualitative design from the previous study (applied in another geographical territory-Zala County) but at the same time examines other analyzing methods like SEM modelling as a potential tool to be integrated.

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