Regional development potentials of Industry 4.0: Open data indicators of the Industry 4.0+ model

Abstract

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.

New insights into corporate sustainability, environmental management and corporate financial performance in European Union: an application of VAR and Granger causality approach

“…Instead, our sample of observations is mainly related to manufacturing firms originating from the UK, France, and Germany, based on data available on the Refinitiv database. Industry 4.0 has represented an interest in manufacturing firms over the last decade, especially in the case of firms originating from well-developed countries (Czvetkó et al 2021 ). We expect that our results show that ESG activities significantly influence firms’ corporate financial performance.…”

Factor analysis, sparse PCA, and Sum of Ranking Differences-based improvements of the Promethee-GAIA multicriteria decision support technique

“…Industry 4.0-related developments require the utilization of MCDM methods and their targeted improvement. The importance of decision-support methods in terms of measuring Industry 4.0 readiness of countries [64,65], regions [66][67][68], cities [69], and enterprises [70][71][72] has been emphasized by previous literature. Industry 4.0 readiness models and decisionsupport methods enable decision-makers to formulate strategic plans based on I4.0-specific metrics.…”

Project-based maturity assessment model for smart transformation in Taiwanese enterprises

“…Maturity model can evaluate the capability of enterprises and establish the path to implement smart manufacturing strategy [35]. Zvetko et al [54] proposed an Industry 4.0 assessment model for regional development. The above research shows that various maturity models or assessments (see Table 1) have certain validity on the maturity level of smart manufacturing [6,7,52,[54][55][56][57][58][59][60][61][62][63][64].…”