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Digital Technologies in Logistics Services for the Agri-Food Sector: A Comparison of Poland and Lithuania.

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Název: Digital Technologies in Logistics Services for the Agri-Food Sector: A Comparison of Poland and Lithuania.
Alternate Title: Technologie Cyfrowe W Obsłudze Logistycznej Sektora Rolno-Spożywczego – Porównanie Polski I Litwy. (Polish)
Autoři: Pyra, Mariusz, Pauzuoliene, Jurgita, Kavecke, Ieva
Zdroj: Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej; Dec2025, Vol. 385 Issue 4, p43-65, 23p
Témata: DIGITAL technology, LOGISTICS, PREDICTION models, THIRD-party logistics, COUNTRIES, POLISH history, FOOD industry, INNOVATION adoption
Geografický termín: POLAND, LITHUANIA (Grand Duchy)
Abstract (English): The aim of this study is to assess and compare the degree of adoption of smart logistics technologies in companies servicing food supply chains in Poland and Lithuania. The analysis was based on data obtained through an online survey conducted between October and December 2024 addressed to logistics service providers in the agri-food sector (n = 60 in Poland, n = 44 in Lithuania). A Logistics Technology Adoption Index (LTAI; Cronbach's α = 0.825) was developed based on seven binary indicators determining the implementation of selected smart logistics technologies. A company was classified as 'high adopter' if the index value was ≥ 0.50. The overall level of technology adoption (LTAI) in Poland was significantly higher than in Lithuania (0.431 vs. 0.044; p <.001), indicating a clearly higher level of digitalization among Polish logistics companies. The analysis of the use of specific technologies confirmed that capital-intensive solutions, such as intelligent vehicle systems (χ2 = 38.47; p Ã.0001) and predictive analytics tools (χ2 = 29.10; p <.0001), were implemented much more frequently in Poland, and the differences in other areas were also statistically significant. The Polish logistics market in the agri-food sector is characterized by a significantly higher level of digitalization than the Lithuanian market, particularly in terms of solutions requiring greater capital expenditure, such as smart vehicles and predictive analytics tools. Cost motivations clearly outweigh environmental motivations in both countries, and a stronger perception of barriers is associated with a lower propensity for implementation. In Poland, large enterprises achieve a significantly higher adoption level of smart logistics technology than small and medium-sized enterprises (SMEs), which is confirmed by the effect of scale. In the case of Lithuania, due to a small number of companies surveyed, the scale effect was not confirmed. [ABSTRACT FROM AUTHOR]
Abstract (Polish): Abstrakt: Cel: Celem artykułu jest ocena i porównanie stopnia wykorzystania technologii smart-logistics w przedsiębiorstwach obsługujących łańcuchy dostaw żywności w Polsce i na Litwie. Materiał i metody: Analiza opiera się na danych pozyskanych za pomocą ankiety internetowej przeprowadzonej od października do grudnia 2024 r., skierowanej do dostawców usług logistycznych w sektorze rolno-spożywczym (w Polsce n = 60, na Litwie n = 44). Na podstawie siedmiu binarnych wskaźników określających wdrożenie wybranych technologii smart-logistics skonstruowano Indeks Adopcji Technologii Logistycznych (IATL; alfa Cronbacha α = 0,825), który przy wartości ≥ 0,50 klasyfikował firmę jako wysoko adoptującą". Wyniki: Ogólny poziom adopcji technologii (IATL) w Polsce był znacząco wyższy niż na Litwie (0,431 vs. 0,044; p < 0,001), co wskazuje na wyraźnie większą cyfryzację polskich firm logistycznych. Analiza wykorzystania poszczególnych technologii potwierdziła, że rozwiązania kapitałochłonne, takie jak inteligentne systemy pojazdów (χ2 = 38,47; p < 0,0001) czy narzędzia analityki predykcyjnej (χ2 = 29,10; p < 0,0001), były znacznie częściej wdrażane w Polsce, a różnice w pozostałych obszarach również były istotne statystycznie. Wnioski: Polski rynek logistyczny w sektorze rolno-spożywczym charakteryzuje się istotnie wyższym poziomem cyfryzacji niż litewski, zwłaszcza w zakresie rozwiązań wymagających większych nakładów kapitałowych, takich jak inteligentne pojazdy czy narzędzia analityki predykcyjnej. Motywacje kosztowe zdecydowanie przewyższają motywacje środowiskowe w obu krajach, a silniejsze postrzeganie barier wiąże się z niższą skłonnością do wdrożeń. W Polsce duże przedsiębiorstwa osiągają znacznie wyższy poziom adopcji technologii smart-logistics niż małe i średnie przedsiębiorstwa (MŚP), co potwierdza efekt skali. W przypadku Litwy, ze względu na niewielką liczbę badanych firm, efekt skali nie został potwierdzony. [ABSTRACT FROM AUTHOR]
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Databáze: Complementary Index
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Abstrakt:The aim of this study is to assess and compare the degree of adoption of smart logistics technologies in companies servicing food supply chains in Poland and Lithuania. The analysis was based on data obtained through an online survey conducted between October and December 2024 addressed to logistics service providers in the agri-food sector (n = 60 in Poland, n = 44 in Lithuania). A Logistics Technology Adoption Index (LTAI; Cronbach's α = 0.825) was developed based on seven binary indicators determining the implementation of selected smart logistics technologies. A company was classified as 'high adopter' if the index value was ≥ 0.50. The overall level of technology adoption (LTAI) in Poland was significantly higher than in Lithuania (0.431 vs. 0.044; p <.001), indicating a clearly higher level of digitalization among Polish logistics companies. The analysis of the use of specific technologies confirmed that capital-intensive solutions, such as intelligent vehicle systems (χ<sup>2</sup> = 38.47; p Ã.0001) and predictive analytics tools (χ<sup>2</sup> = 29.10; p <.0001), were implemented much more frequently in Poland, and the differences in other areas were also statistically significant. The Polish logistics market in the agri-food sector is characterized by a significantly higher level of digitalization than the Lithuanian market, particularly in terms of solutions requiring greater capital expenditure, such as smart vehicles and predictive analytics tools. Cost motivations clearly outweigh environmental motivations in both countries, and a stronger perception of barriers is associated with a lower propensity for implementation. In Poland, large enterprises achieve a significantly higher adoption level of smart logistics technology than small and medium-sized enterprises (SMEs), which is confirmed by the effect of scale. In the case of Lithuania, due to a small number of companies surveyed, the scale effect was not confirmed. [ABSTRACT FROM AUTHOR]
ISSN:00441600
DOI:10.30858/zer/214454