Personnel management in the sustainable transport and logistics industry

Abstract

This paper describes the methods and techniques of the ways personnel security is ensured and maintained in the sustainable transport industry. In addition, it focuses on the novel methods and technologies used by the human resource managers for selecting and hiring candidates for jobs in the transport and logistic sector. Furthermore, it gives a comprehensive overview of human capital management in the transport industry and provides a detailed analysis of several segments covered. It offers a detailed insight into the growth markets and their impact on the human resource management market in the transport industry. Our results demonstrate that the majority of the world's largest transportation and logistics companies believe that data-driven decision-making is essential to supply chain activities and is hiring the right employees. The paper shows that this data-driven approach might be the best solution for optimizing performance and achieving the standards of sustainable and environmentally-friendly business both at the personnel level and at the level of operation and efficient management. Moreover, it stresses the importance of the artificial intelligence and deep learning in the development of the sustainable transport industry.