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Modeling the Efficiency of SaaS Solutions in Transport Logistics Infrastructure Recovery Cover

Modeling the Efficiency of SaaS Solutions in Transport Logistics Infrastructure Recovery

By: Taras Mukha and  Nadiia Popova  
Open Access
|Feb 2026

Abstract

The purpose of this article is to develop and empirically verify integrated models for assessing the effectiveness of software solutions provided under the service model in the context of rapid restoration of transport and logistics infrastructure after crisis events. Within the framework of the constructed multi-criteria system-dynamic model, the relationships between the scalability parameters of software platforms. The study has formulated a system of indicators for assessing effectiveness, the duration of infrastructure restoration after a disruption, the ratio of costs to the achieved effect and the level of reduction of negative environmental impact. The study’s novelty lies in developing a unified model that addresses key aspects of digital transport infrastructure after a crisis. The practical significance of the results obtained is manifested in the possibility of their application for strategic planning of digital transformation of logistics systems, assessment of the investment attractiveness of technological solutions.

DOI: https://doi.org/10.2478/ttj-2026-0004 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
Language: English
Page range: 38 - 47
Published on: Feb 21, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Taras Mukha, Nadiia Popova, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.