CASE INDEX AS INDICATOR OF LOGISTICS INDUSTRY TRANSITION TO THE SIXTH TECHNOLOGICAL ORDER

Abstract

The purpose of the article is to develop the CASE Index as an original composite quantitative indicator of logistics sector readiness for the transition to the sixth technological paradigm. The relevance of the study is determined by the accelerating diffusion of CASE technologies in logistics, which generates new technological inequalities between countries and operators, while existing analytical instruments, including the Logistics Performance Index, the Digital Economy and Society Index, and the Global Connectivity Index, address only individual dimensions of this transition and lack logistics-sector specificity. The research methodology is based on the construction of a composite index comprising four equally weighted technology vectors: Connected, Autonomous, Shared, and Electric. Sub-indicators are normalised using the min-max method within the analysed sample. Empirical assessment is conducted for the United States, Japan, Germany, the EU-27, and Ukraine. It is found that the USA and Germany exceeds the Nash equilibrium threshold for the dominance of the strategy of implementing sixth order technologies by logistics companies. Japan, the EU-27 are in the zone of conditional rationality for the implementation of sixth order technologies by logistics companies, and require coordination mechanisms from the state or alliances. It is determined that Ukraine is at the initial level of implementation of sixth-generation technologies by logistics companies, and the non-innovative strategy of logistics operators dominates. The equilibrium in which non-adoption of advanced technologies constitutes the dominant strategy for logistics operators due to an insufficient critical mass of technology-ready market participants. The practical value of the CASE Index lies in its function as an independent, vendor-neutral benchmarking tool for logistics operators, investors, and policymakers. For Ukraine, reaching the coordination threshold implies prioritising 5G infrastructure deployment, scaling artificial intelligence solutions and AMR robotisation, developing shared logistics platforms, and expanding public charging infrastructure density.