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Digital Innovation for the Sustainability of Reshoring Strategies: A Literature Review

doi: 10.3390/su13147601
handle: 11588/854403
Recently, some critical events (e.g., the economic decline, the growing socio-ecologic burden, even more demanding customers, etc.) have led several companies to re-think their “shoring” decisions. Therefore, many of them decided to reshore manufacturing or to bring back home production activities previously offshored. This phenomenon represents one of the current imperatives for research. In fact, the location where manufacturing takes place has a massive influence on the sustainability of firms on a local and global level. Therefore, to better understand what makes reshoring strategies sustainable as well as to identify the drivers that can boost it, further research is still needed. The explorative nature of this paper recognizes some motivations or drivers for making reshoring strategies sustainable. To this end, a structured and narrative literature review has been conducted to grasp and describe the main motivations and implementation characteristics that can make reshoring decisions sustainable. The achieved results better define reshoring and the influence that some drivers, especially digital innovation, can play on the related strategies and on their sustainability. In doing so, this work is one of the first contributions that jointly approaches reshoring, sustainability, and digital innovation.
offshoring, Environmental effects of industries and plants, TJ807-830, sustainability, TD194-195, reshoring, offshoring, sustainability, digital innovation., Renewable energy sources, Environmental sciences, digital innovation, reshoring, GE1-350
offshoring, Environmental effects of industries and plants, TJ807-830, sustainability, TD194-195, reshoring, offshoring, sustainability, digital innovation., Renewable energy sources, Environmental sciences, digital innovation, reshoring, GE1-350
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).17 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
