Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review

• Main Authors: Marco Savastano, Carlo Amendola, Francesco Bellini, Fabrizio D’Ascenzo
• Format: Article
• Language: English
• Published: MDPI AG 2019-02-01
• Series: Sustainability
• Subjects: digital transformation; digital manufacturing; Industry 4.0; smart manufacturing; sustainable innovation; business process innovation; business model innovation; technology and innovation management; systematic literature review; literature analysis
• Online Access: https://www.mdpi.com/2071-1050/11/3/891

The digital transformation of manufacturing (a phenomenon also known as “Industry 4.0„ or “Smart Manufacturing„) is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field.