Industrial Management & Data Systems, Journal Year: 2025, Volume and Issue: unknown
Published: March 29, 2025
Purpose Smart manufacturing (SM), a key dimension of the Industry 4.0 paradigm, envisions transformation traditional production systems into autonomous, interconnected and data-driven networks. By leveraging advanced technologies, SM promises to enhance firms’ competitiveness operational efficiency. Despite its strategic relevance, many companies still struggle achieve high levels advancement. While operations management literature has identified several technical social factors crucial for advancement, there is little empirical evidence regarding relevance each factor in path. Building on socio-technical theory, this study aims understand specific sequence which firms need deploy advance whether combinations enable higher Design/methodology/approach This combines necessary condition analysis (NCA) fuzzy-set qualitative comparative (fsQCA) using survey data from 234 automotive component industry. Findings The results NCA suggest that must be deployed SM. Initial stages adoption require limited set baseline factors, while necessitate broader array factors. Additionally, findings show advancing does not maximize magnitude every but rather ensure minimum presence critical indicating existence saturation effects. outcomes fsQCA further reveal certain strictly their own, play role within configurations, illustrating how interplay sequencing tailored drives successful Research limitations/implications Our advances theory by reframing alignment as dynamic evolving process adapts varying priorities at different uncovering stage, we provide deeper understanding can navigate complexities progress. Moreover, enrich research demonstrating enablers interact emphasizing importance tailoring strategies context-specific requirements, moving beyond static frameworks highlight stage-specific pathways drive sustainable Practical implications offer practical guidance executives, detailing allocate resources strategically adapt configurations align with unique requirements transformation, thereby facilitating more streamlined effective progression toward capabilities. Originality/value first quantitative both reach maturity
Language: Английский