MTA-PE "Lendület" Complex Systems Monitoring Research Group, University of Pannonia, Veszprém, Hungary.
Institute of Advanced Studies Kőszeg, Kőszeg, Hungary.
PLoS One. 2021 Apr 19;16(4):e0250247. doi: 10.1371/journal.pone.0250247. eCollection 2021.
This paper aims to identify the regional potential of Industry 4.0 (I4.0). Although the regional background of a company significantly determines how the concept of I4.0 can be introduced, the regional aspects of digital transformation are often neglected with regard to the analysis of I4.0 readiness. Based on the analysis of the I4.0 readiness models, the external regional success factors of the implementation of I4.0 solutions are determined. An I4.0+ (regional Industry 4.0) readiness model, a specific indicator system is developed to foster medium-term regional I4.0 readiness analysis and foresight planning. The indicator system is based on three types of data sources: (1) open governmental data; (2) alternative metrics like the number of I4.0-related publications and patent applications; and (3) the number of news stories related to economic and industrial development. The indicators are aggregated to the statistical regions (NUTS 2), and their relationships analyzed using the Sum of Ranking Differences (SRD) and Promethee II methods. The developed I4.0+ readiness index correlates with regional economic, innovation and competitiveness indexes, which indicates the importance of boosting regional I4.0 readiness.
本文旨在确定“工业 4.0”（Industry 4.0，简称 I4.0）的区域潜力。尽管公司的区域背景对 I4.0 概念的引入方式有重大影响，但在分析 I4.0 就绪程度时，往往会忽略数字转型的区域方面。基于对 I4.0 就绪模型的分析，确定了实施 I4.0 解决方案的外部区域成功因素。我们开发了一个“工业 4.0+（区域工业 4.0）”就绪模型和一个特定的指标体系，以促进中期区域 I4.0 就绪度分析和前瞻性规划。该指标体系基于三种类型的数据来源：（1）公开政府数据；（2）替代指标，如与 I4.0 相关的出版物和专利申请数量；（3）与经济和产业发展相关的新闻报道数量。这些指标被汇总到统计区域（NUTS 2）中，并使用排名差异总和（Sum of Ranking Differences，简称 SRD）和 Promethee II 方法分析它们之间的关系。开发的 I4.0+就绪指数与区域经济、创新和竞争力指数相关，这表明提高区域 I4.0 就绪度的重要性。
