Macroeconomic Context and Smart Logistics Adoption – Study of Poland and Lithuania

Abstract Subject and purpose of work The article examines the relationship between macroeconomic conditions (GDP per capita, Logistics Performance Index, unemployment) and the adoption of smart technologies in logistics at the enterprise level in Poland and Lithuania. Materials and methods The materials included primary data from the CAWI survey and secondary data from public macroeconomic sources. Descriptive statistics and tests of differences between countries were used. Linear relationships were assessed using Pearson’s correlation coefficients. The relationships were verified using OLS regression models. Results The IATL level is higher in Poland than in Lithuania. The LPI shows a strong positive correlation with the IATL, unemployment shows a negative correlation, while GDP per capita does not translate into greater adoption. The interaction effect of log GDPpc × LPI is positive. Conclusions Economic prosperity alone does not guarantee the digitisation of logistics. The key factor is the quality of logistics infrastructure and services (LPI), while labour market tensions modulate the propensity to invest.