Performance evaluation for digital readiness: An application of the integrated LOGSTA-AROMAN approach
Published 2026-03-25
Keywords
- Dijitalleşme, Dijital Hazırlık, LOGSTA, AROMAN
- Digitalisation, Digital Readiness, LOGSTA, AROMAN
How to Cite
Copyright (c) 2026 Tayfun Öztaş- Gülin Zeynep Öztaş

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Abstract
Digitalisation increases welfare by contributing to global economic growth through digital transformation. Therefore, countries prepare strategic plans and make significant investments to avoid falling behind competitors and enhance their digital readiness in an increasingly competitive environment. These investments are frequently carried out through public-private partnerships and require the utilisation of competencies from the involved parties. Thus, countries aim to make digital technologies accessible to everyone through an inclusive approach and to increase people's and businesses' competencies. This study aims to evaluate the digital readiness performance of selected countries through a comparative analysis. In this respect, an analysis was conducted including MENA region countries and Türkiye using the Network Readiness Index (NRI) data published by the Portulans Institute. The proposed approach consists of four stages. In the first stage, the weights of criteria were determined using the LOGSTA method, whereas countries were ranked using the AROMAN method in the second stage. In the third stage, the sensitivity of the proposed LOGSTA-AROMAN approach to changes in parameter values and criteria weights was investigated. In the last stage, a comparative analysis was conducted using TOPSIS, WASPAS, MARCOS, MABAC, and RAWEC methods to reveal the reliability of the LOGSTA-AROMAN approach. The results show that "People" is the most important criterion (0.2887), whereas "Impact" is the least important criterion (0.1880). The ranking results indicate that K5 is the best-performing country, whereas K14 has the lowest performance. The sensitivity analysis revealed that the LOGSTA-AROMAN approach is robust to changes in parameter values and criteria weights. In contrast, the comparative analysis verified its reliability, with correlations above approximately 99.3% with other methods. Finally, the results were evaluated, and policy recommendations were made.
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