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The effects of using artificial intelligence and robotics in logistics service production: an application in 3PLS and 4PLS

Çağlar Macide Berna, Taşkın Bihter Karagöz

LogForum

2023

Vol. 19, no. 3

347--360

Background: The purpose of this study is to investigate how artificial intelligence (AI) and robotic awareness, perceived organizational support, and competitive psychological climate approaches relate to turnover intention. In the literature, studies on robotic awareness and turnover intention have been undertaken in a variety of industries. In this respect, this study aims to address the absence in the literature of research on logistics services providers. This study aims to help businesses understand how to retain employees and foster a more inclusive and supportive workplace. Methods: The study utilizes survey information from 100 senior managers in the operations function of logistics service providers. The outcomes are obtained by modeling structural equations with SmartPLS. Data from the survey were gathered using the snowball sampling technique. Results: The results of the research reveal the effect of artificial intelligence and robotic awareness on competitive psychological and turnover intention. Conclusions: The study aims to explore the role of a competitive psychological climate and organizational support in mediating the relationship between AI and robotics awareness and turnover intention. We identify that awareness of AI and robotics has a considerable, favorable effect on the psychological climate of competition and turnover intention. We also find that the competitive psychological atmosphere has a substantial, favorable effect on turnover intention. In addition, organizational support has been demonstrated to have a substantial, favorable effect on turnover intention. However, it was not possible to identify the mediating role of organizational support and the psychological environment of competition in moderating the association between awareness of AI and robotics and turnover intention. On the basis of the research's findings, suggestions were made.

Estimating costs of risk factors within structures of the logistics chain in metallurgical industry

Kulińska E.

Gospodarka Materiałowa i Logistyka

2016

nr 11

168--180

The aim of this article is to show the importance of the estimating costs of risk factors within structures of the logistics chain in metallurgical industry. For enterprises operating in the metallurgical market it means a necessity to create new terms for cooperation, based on various segments of customers. Logistics services providers are those links that are included in the structure of efficient logistics chains. In the opinion of the author, the risk management in logistic chain has significant influence on the key processes of a metallurgical industry and value added understood as an earned net income. The complex identification and quantification of the processes form the grounds for the identification of risk factors and, what follows, for the implementation of the risk management system into the logistic processes in metallurgical industry. To verify this purpose, theoretical research tools were used, such as: analysis, synthesis, generalization and comparison. The scope of practical methods comprised the following: the observation method (to gather information about partners of the logistics chain at Huta Małapanew Sp. z o.o., interviews with employees, determining the interferences within and across the selected links) and the calculation and analytical methods (the analysis of characterisation principle). Created by the author, parameterization model using the apparatus of mathematical logic should be applicable, particularly using task functions in the description of cause and effect relationship as well as structural relationships that are so characteristic to the business nature of metallurgical industry. Therefore, the main scientific objective is to show a significant difference between total and actual costs of the occurrence of risk factors in logistic processes realized in metallurgical industry.