Abstract

The paper presents the results of a study that evaluates the impact of intelligent transportation systems (ITS) on green logistics practices and their effects on customer service performance in freight transport enterprises. Based on a selection of ten ITS applications for management processes assistance and eight ITS applications for vehicle use support, we assessed the level of knowledge on these applications among freight transport managers, as well as the level of maturity of implementation in their companies. This study involves two-stage research conducted in 2023 in March-May and August-October with 840 and 640 freight transport enterprises in the Visegrad Group countries. A quantitative survey based on an online questionnaire was defined, and the collected data was then analysed using descriptive statistics methods and the SEM-PLS (Structural Equation Modelling-Partial Least Squares) methodology.

Recommended Citation

Kadłubek, M., da Silva, A.R., Domagała, J. & Rizun, M. (2024). Impact of ITS Applications on Green Logistics and Customer Service Performance. In B. Marcinkowski, A. Przybylek, A. Jarzębowicz, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era (ISD2024 Proceedings). Gdańsk, Poland: University of Gdańsk. ISBN: 978-83-972632-0-8. https://doi.org/10.62036/ISD.2024.64

Paper Type

Full Paper

DOI

10.62036/ISD.2024.64

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Impact of ITS Applications on Green Logistics and Customer Service Performance

The paper presents the results of a study that evaluates the impact of intelligent transportation systems (ITS) on green logistics practices and their effects on customer service performance in freight transport enterprises. Based on a selection of ten ITS applications for management processes assistance and eight ITS applications for vehicle use support, we assessed the level of knowledge on these applications among freight transport managers, as well as the level of maturity of implementation in their companies. This study involves two-stage research conducted in 2023 in March-May and August-October with 840 and 640 freight transport enterprises in the Visegrad Group countries. A quantitative survey based on an online questionnaire was defined, and the collected data was then analysed using descriptive statistics methods and the SEM-PLS (Structural Equation Modelling-Partial Least Squares) methodology.