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PurposeThe purpose of this paper is to identify actions and guidelines for enabling and fostering the Industry 4.0 adoption, as well as to understand the role of three ecosystem actors in these actions (i.e. companies, educational organizations and regional policy makers).Design/methodology/approach52 semi-structured expert interviews in the Tyrol-Veneto cross-border macro-region were carried out and interpreted using the innovation ecosystem concept. In particular, drawing from this latter, six ecosystem building blocks were identified and used to analyze the interviews' content.FindingsThe findings allow not only to build a comprehensive framework for action to support Industry 4.0 adoption, but also to confirm the importance of exploring Industry 4.0 through the lens of the ecosystem concept. Indeed, the authors show that R&D activities should be complemented with interorganizational actions, such as training and networking, and that all ecosystem actors should be involved in the Industry 4.0 adoption.Originality/valueThis is among the few studies that adopt the innovation ecosystem perspective to explore best practices for Industry 4.0 adoption, thus overcoming the weakness of existing papers based on a firm-level perspective. It also complements previous ecosystem-based research on Industry 4.0 by exploring the technology adoption side, rather than the technology provision one, and by considering the adoption of a wide set of technologies.

Companies are recently facing increasing supply chain disruptions that may influence their supply base design choices. However, studies investigating how these choices affect the effectiveness of other supplier management practices, such as supplier integration, are scarce. The aim of this paper is to explore the impact of various types of supplier integration on the buyer's efficiency and innovation, as well as the contingency effects of supply base concentration, an important supply base design choice. Drawing upon Social Exchange Theory, we argue that the expected benefits of supplier integration activities to efficiency and innovation are strengthened by supply base concentration. We test our hypotheses using data collected from 324 manufacturing plants. Hierarchical regression results reveal that some supplier integration types improve performance only under higher levels of supply base concentration, while the effects of other supplier integration types vary according to the type of performance considered or are not significant at all. In addition, the results suggest that developing technologies to share information with suppliers may be counterproductive in driving efficiency. Besides enriching the supplier integration literature, this research offers guidance for managers who wish to improve efficiency and innovation, while also considering the pros and cons of supply base concentration.

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