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Mgr inż. Magdalena Satora
ORCID: 0000-0002-7676-4109

Assistant in the Department of Packaging and Logistics Processes, College of Management and Quality Sciences, Institute of Quality Sciences and Product Management, Cracow University of Economics. Graduate of the Transport program at the Faculty of Mechanical Engineering, Cracow University of Technology. Her research interests focus on issues related to: developing maintenance strategies for railway vehicles with consideration of efficiency and safety, ensuring the quality and safety of food products in road transport, and standardization and optimization of processes. Her scientific and research achievements to date include over 20 publications.

 
DOI: 10.33226/1231-2037.2025.3.3
JEL: O33, L91, J24

The article presents the results of a study examining the attitudes and perceptions of logistics sector employees towards the implementation of artificial intelligence (AI) solutions. The main objective was to identify the level of knowledge, trust, and readiness to adapt AI technologies within the logistics environment, as well as to determine the factors supporting their acceptance. The study was conducted using the CAWI (Computer-Assisted Web Interview) method, which enabled the collection of opinions from employees representing various professional groups within the logistics sector. The study focused on the emotional and social dimensions of technological transformation, analysing employees’ expectations regarding organizational support and the development of digital competences. The findings reveal predominantly positive, yet cautious, attitudes towards AI, emphasizing the importance of practical training, transparent communication, and employee participation in the implementation process. The results provide a basis for formulating recommendations for logistics companies, highlighting the need to combine technological investment with human capital development and to foster an organizational culture grounded in trust and collaboration.

Keywords: artificial intelligence; logistics; attitudes and feelings of employees; technology implementation