Benchmarking enterprise digital transformation and AI readiness across EU-27 and selected European countries using recent MCDM methods

Authors:
Publisher website
Google Scholar
Abstract
This study evaluates digital transformation and artificial intelligence (AI) readiness among the European Union-27 (EU-27) and selected European countries using an integrated multi-criteria decision-making approach. In this evaluation process, seven criteria are considered as enterprises using AI technologies, purchasing cloud computing services, performing data analytics, using ERP (Enterprise Resource Planning), CRM (Customer Relationship Management), and BI (Business Intelligence) software, using social media, having a fixed internet connection with a speed above 1 Gb/s, and having a website or functionalities. These seven criteria were selected because they collectively represent the key dimensions of enterprise-level digital maturity. The MEREC (Method Based on the Removal Effects of Criteria) method is proposed to determine objective criteria weights and SPOTIS (Stable Preference Ordering towards Ideal Solution) method is used to rank the countries. The findings reveal that use of AI has the highest discriminatory effect among the criteria, and AI use is an important dimension of digital readiness. According to the ranking results obtained with the SPOTIS method, Denmark, Finland, the Netherlands, Belgium and Sweden are the leading countries in digital transformation performance. The proposed integrated multi-criteria decision-making (MCDM) approach provides a transparent and repeatable framework for benchmarking digital transformation and AI readiness levels by identifying areas requiring policy intervention.

This publication has 32 references indexed in Scilit: