Implementing Digital, Intelligent and Sustainable Logistics (DISL) to SMEs and Large Companies - Identification and Significance of Drivers and Barriers

T. Bartosz Kalinowski, Marta Razniewska, Jakub Brzezinski, Adrianna Tobola
European Research Studies Journal, Volume XXV, Special Issue A, 149-159, 2022
DOI: 10.35808/ersj/2944

Abstract:

Purpose: The purpose of this article is to identify and analyse the significance of the existing drivers and barriers in the implementation of solutions in the field of Digital, Intelligent and Sustainable Logistics (DISL) to SMEs and Large Companies. Design/Methodology/Approach: As part of this article, the survey conducted among Polish entrepreneurs was used. The results of the survey were analysed as part of the statistical analysis. The ANOVA analysis of variance was used for the gradation in terms of the significance level of both drivers and barriers, while the non-parametric Mann-Witney test was used to verify the differences in the perception of the drivers and barriers of DISL implementation for the variable: the size of the company. Findings: The performed statistical analysis allowed to verify the hypotheses relating to the identification of statistically significant differences in the perception of drivers and barriers to DISL implementation. As a result, it was possible to indicate differences for both variables in terms of their level of importance, which turned out to be true. Practical Implications: The area related to the analysis of the results of the conducted research in terms of identification and examination of the significance level of individual drivers and barriers to DISL implementation is particularly important from the point of view of the need for digitalisation and reducing the carbon footprint by modern supply chains. Originality/Value: This paper primarily analyses the results of surveys completed by managers of micro, SMEs and large companies in terms of drivers and barriers for the DISL implementation as a key aspect of the development of current supply chains.


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